Patent Application
20240289746
The subject matter disclosed herein generally relates to a content platform.
Content Networks allow users of the content platform to upload personal data, company data, work-related data, and other information (generally referred to herein as “data”) to the content network and establish relationships with other users of the content network. Such data, information, and relationships can be utilized by the users and by the network infrastructure to create and convey postings on the social network informing the network users of information and activities of the various users of the network. The source of such postings can derive from the direct input of a user, such as by posting a self-crafted message for viewing by other users of the network. In addition, the network infrastructure itself can create postings, such as to update users as to new relationships between users, user career changes, and so, forth. It is oftentimes the lack of information entered by the users and the network infrastructure itself that fail in providing meaningful relationship links between users. As such there is a need to improve upon the currently available network infrastructure, such as, but not limited to computational analysis, social science, artificial intelligence, predictive analytics, and network analysis.
Some embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings.
FIGS. 4N1-4N2 illustrates various user groups for the platform network;
Example methods and systems are directed to a content platform. Examples merely typify possible variations. Unless explicitly stated otherwise, components and functions are optional and may be combined or subdivided, and operations may vary in sequence or be combined or subdivided. In the following description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of example embodiments. It will be evident to one skilled in the art, however, that the present subject matter may be practiced without these specific details. As such herein the term PMH refers to PMH, which is a protectable trademark of Applicant. The use herein is strictly done under permission of the Applicant and not to reduce rights nor render the trademark rights null and void.
The network server 104 can be communicatively coupled to the network 108. The server 104 can be an individual server or a cluster of servers and can be configured to perform activities related to serving the network, such as storing network information or data, processing network information according to scripts and software applications, transmitting information to present network information to users of the network, and receive information from users of the network. The server 104 can include one or more electronic data storage devices, such as a hard drive, and can include a processor. The network server 104 can store information related to members of the network. For instance, for an individual person, the member's information can include name, age, gender, profession, location, activities, likes and dislikes, and so, forth. For an organization, such as a company, the information can include name, offered products for sale, available job postings, organizational interests, forthcoming activities, and the like.
The server 104 includes a content platform 110. The content platform 110 can include or be provisioned by the processor and electronic storage devices of the server 104. The content platform 110 can store and access network information on the electronic storage devices, can reside on the electronic storage devices, and can utilize or be provided by the processor.
In various examples, the electronic data storage 206 can be or can include an information record 207 data storage 206A and an electronic data index 206B. The information record data storage 206A can be a durable storage of data files, including information records 207, either for long term storage for dormant files or for files actively utilized by the content platform 110. In various examples, the electronic data index 206B can be utilized for searching functions, such as to identify files, such as information records 207, without necessarily accessing the files during the search. In various examples, the electronic data index 206B is non-durable data storage, in that the index merely includes information relating to files rather than the files themselves.
In the illustrated example, the server 104 includes network applications 210, such as can interface with, provide, and obtain network information from the user devices 102 and other sources. The server 104 further includes a developer application 212 configured to allow administrators or developers of the network to register new criteria for the unified social content platform 110 to provide information on the network, as disclosed herein. The developer application 212 can include or access a user interface and can access the management API 204. The developer application 212 can allow a developer to create custom social network applications while also, adhering to a substantially uniform aesthetic and front-end rendering. The uniform social content platform 110 can publish developed applications to the network substantially immediately.
The content platform 110 can include a data model that includes standard fields that can be applied across network application and activities. The data model can include standard fields such as a destination and a visibility of an application. The data model can further include a data field for user defined fields, such as can be provided by a developer via the developer application 212 or by a user of the network.
The publishing API 200 can be called by an application to publish activity to the content platform 110. Published applications 210 can be queried by at least the content platform 110 and identified to a user, such as via the developer application 212. Upon being published, the applications can also, be sent to a pipeline to be provisioned to the user devices 102 via the network.
The processor 208 can manage the pipeline, such as with dedicated pipeline software. The processor 208 can attach data onto activity items that are provided, such as by applications 210, to the user devices 102 via the network. Such data can include summaries of users, such as users acting on the applications 210, and objects in an activity. In an example, if the actor is a member of the network, then the actor's name, profile picture or profile picture uniform resource locator (URL), and/or other data regarding the member of the network. In an example, if the object of the action is a webpage, a summary of the web page can be attached. The processor 208 can also, be configured, such as within its pipelining functionality, to store an activity, such as in the form of an information record 207, to a long-term electronic storage 206A, provide a search term to a search index in electronic storage 206B, tally an activity index count, and send an event notification to offline storage.
The content platform 110 can further include a module 214. The module 214 can identify a body of interest created in a classification system 300 (
The Classification system is outlined as follows: 1. Earth; 2. Atmosphere; 3. Low Earth Orbit; 4. Medium Earth Orbit; 5. High Earth Orbit; 6. Space between the Earth and Moon; 7. Moon Atmosphere/Orbit; 8. Moon; 9. The Mearth Line between the Moon and Mars; 10. Space between Moon and Mars; 11. Mars Atmosphere; 12. Mars; 13. Mars Moon Phobos; 14. Mars Moon Deimos; etc. The numbering can continue out and beyond into the other planets and the space between.
Users, individuals and companies, can now outline their interests, work, study, habits and connect those to the Classification System. This allows people to make a deeper connection with each other that was not available before. The content platform can also, help make the connections for them as well but searching and providing suggestive connections between users. For example, while it is easy to tell someone they live in the Mid-West or Illinois, or they work in New York, the ability to connect on a completely different level based on interests or where their business or product can perform is lacking across any current platform. In addition, current platforms do not tie any information into social causes or belief systems based on styles or behaviors. However, the content platform 110 with the incorporation of the classification system 300 provides for connections unlike previously developed. In almost every case current platforms focus either on personal information or business information not both.
The body of the activity items generated by the content platform 110 can be common among all applications. The user devices 102 can be configured to render activities transmitted from the content platform 110 without having to be separately configured for different applications. The content summary can accompany the body in an activity. The body and the content summary can be utilized to create consistent content displays and developer applications. The body can be annotated with semantic regions, allowing users and developers to tailor the display of bodies based on the context. In an example, if a particular company is mentioned in a body, the annotation can indicate to a user device 102 to generate and/or display a profile of the company.
The content platform 110 can optionally include additional APIs or templates for certain dedicated tasks. The content platform 110 can include a query template for regularizing queries of stored materials. In an example, the content platform 110 can include rendering templates that can be used in cross-platform applications. Such cross-platform applications can include as aspects of the network that is not necessarily provided by the content platform 110. The rendering templates can be built and registered via the developer application 212. Applications may select between and among the rendering templates for use with activity items.
The content platform 110 can include data on members of the network. The platform may also, create graphs (
In various examples, the content platform 110 can be wholly or substantially self-contained/sufficient. In various examples, the content platform 110 does not make “sideways” calls to another equivalently tiered block. Rather, like certain super blocks known in the art, the content platform 110 can, in certain examples, make calls “down” to general infrastructure blocks. Such infrastructure blocks can include the electronic data storage 206, certain functions that may be provided by the processor 208, such as the pipelining function. “Cloud” computing functions known in the art can be included as infrastructure.
In various examples, equivalent mid-tier calls can be made by the content platform 110 to other mid-tier or super blocks. In an example, another block can provide proxy calls to the content platform 110. In such an example, various services can provide data to decorate onto the result of the proxy call. Alternatively, the content platform 110 can monitor streaming data from mid-tier or super blocks and maintain read-only replicas of data from the other mid-tier or super blocks.
The content platform 110 can be published with extension points or service provider interfaces (SPI). The unified social content platform 110 can be published as a raw schema and/or as a dedicated client library with an SPI including interfaces that can be implemented to the content platform 110 as well as to the schemas to, for instance, permit the addition of processing elements to the processor 208. The APIs and SPIs of the system 100 generally can be built as independent tasks.
Referring now to
Embodiments of network interface 610 typically include an Ethernet card, a modem (telephone, satellite, cable, ISDN), (asynchronous) digital subscriber line (DSL) unit, and the like. Network interface 610 are typically coupled to a computer network as shown. In other embodiments, network interface 610 may be physically integrated on the motherboard of computer 604, may be a software program, such as soft DSL, or the like.
Computer 604 typically includes familiar computer components such as a processor 612, and memory storage devices, such as a random-access memory (RAM) 614, disk drives 616, and system bus 618 interconnecting the above components.
In one embodiment, computer 604 is a PC compatible computer having one or more microprocessors from Intel Corporation, or the like. Further, in the present embodiment, computer 604 typically includes a UNIX-based operating system.
RAM 614 and disk drive 616 are examples of tangible media for storage of data, audio/video files, computer programs, user profile card data, user social network-related data, social distance computation programs, hierarchal posting data, social network filtering criteria, other embodiments of the present invention and the like. Other types of tangible media include magnetic storage media such as floppy disks, hard disks, removable hard disks; optical storage media such as CD-ROMS, DVDs, bar codes, holographic; semiconductor memories such as flash memories, read-only-memories (ROMS), volatile memories; networked storage devices; and the like.
In the present embodiment, computer system 600 may also, include software that enables communications over a network such as the HTTP, TCP/IP, RTP/RTSP protocols, and the like. In alternative embodiments of the present invention, other communications software and transfer protocols may also, be used, for example IPX, UDP or the like.
In the present embodiments, users 680 may be any conventional access device, such as a computer, a web-enabled telephone, a personal digital assistant, or the like. In operation, users 680 log into server 650 and then makes one or more requests for data. The data that is returned is typically displayed back to user.
In various embodiments, server 650 may be embodied, as described above, and include one or more servers (e.g., server cluster) that respond to requests from users 680. For example, multiple servers may be used in embodiments where server performance is important, e.g., East Coast server for client requests from Boston, Midwest server for client requests from Chicago, and the like. Server 650 may be configured as illustrated above.
Database 660 may be any conventional database such as powered by MySQL, Oracle, Sybase, or the like. In other embodiments, database 660 may be any other data source such as an LDAP server, or the like. In the present embodiment, database 660 is configured to store and maintain user data, to store and maintain relationship data between the users, and configured to make changes to relationship data between users, among other functions. As illustrated, database 660 may be coupled to server 650 and to graphing system 670 to send and receive respective data, as will be described herein.
In various embodiments, graphing system 670 is a stand-alone computer system configured to receive data from server 660 and configured to store and maintain relationship data between the users. Additionally, in various embodiments, graphing system 670 is configured to determine and provide requested relationship data to server 650. In various embodiments, graphing system 670 may be integrated as a part of server 650, or the like.
In various embodiments, graphing system 670 may be a conventional computer system, as described above. In one embodiment, graphing system 670 maintains in the relationship data of users (adjacency information) in RAM. In other embodiments of the present invention, graphing system 670 may store a portion of the relationship data of users in RAM. The other portions of the relationship data of users may be stored on magnetic disk or other media, on database 660, or the like. In such embodiments, elements of the relationship data of users can be loaded into a most recently used (MRU) queue.
In the present embodiment, graphing system 670 computes social relationships in real time by minimizing lookup time of required information. For example, lookup operations such as: who are the direct friends of person A?, who are the members of tribe B?, etc., are performed in constant or near constant time. Additionally, graphing system 670 stores relationship data for users in RAM in a way that allows explicit control over memory allocation. In some embodiments of the present invention, it is expected that graphing system 670 will be able to compute social distance computations on a social network of up to 20 million users, within 20 milliseconds or less.
In embodiments of the present invention, graphing system 670 may include a number (e.g., cluster) of individual systems. In various embodiments, the individual systems may store unique portions of the relationship data of users; the individual systems may store in parallel the same portions (or the entire) relationship data of users; or the like. Any traditional data clustering technique may be used to implement graphing system 670 in embodiments of the present invention.
Additionally, in embodiments, graphing system 670 determines the specific relationships (e.g., social distance queries) primarily in RAM. With such a configuration, the performance of graphing system 670 has proven superior to disk-based computation systems such as conventional databases.
In various embodiments, graphing system 670 includes four software components including two C++ components, and two Java components. In other embodiments, other architectures are envisioned. The C++ components includes a portion that solves social distance queries using the RAM, utilizing a memory efficient graph implementation, as will be discussed below. Additionally, the C++ components includes a daemon process that reads commands and write results to a socket (or other transport medium). By having graphing system 670 respond to relationship queries via a socket, different implementations of the server interface, may be easily used, without touching the C++ components.
In various embodiments, the server interface, i.e., java components, includes a java class that provides APIs to requesting servers, such as server 650. The API's serve as the interface layer to the C++ components. Additionally, the java components include an interface layer that sends requests to the socket and waits for relationship data on the socket.
In implementation, graphing system 670 may be multithreaded and thus can support simultaneous requests from server 650. Additionally, in cases where server 650 includes one or more servers for increasing scale, standard clustering techniques such as data replication can be used to support simultaneous requests from one or more servers.
In various embodiments, many different types of relationship data can be determined by database 660 and graphing system 670 including, a shortest path between user A and user B (e.g. SOCIAL_DISTANCE (A,B)), typically a floating point value reflecting the distance from user A to B; shortest paths between user A and user B, for example through user C and user D, or through user E and user F (returned as an array of paths); what users are within or less than N degrees From user A (less than a N social distance); who is the most connected user in the social network, and the like. Many other types of information are reportable within other embodiments of the present invention. In embodiments of the present invention, database 660 and graphing system 670 may communicate with each other via custom function calls from database 660.
The relationship determined may be filtered and sorted in any number of conventional ways based upon various parameters. Additionally, database 660 and graphing system 670 are enabled to received up-dated relationship data, such as adding a new user/friendship relationship or removing a friendship relationship, and to recompute the relationship data, and the like.
The machine 700 includes a processor 702 (e.g., a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a radio-frequency integrated circuit (RFIC), or any suitable combination thereof), a main memory 704, and a static memory 706, which are configured to communicate with each other via a bus 708. The machine 700 may further include a graphics display 710 (e.g., a plasma display panel (PDP), a light emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)). The machine 700 may also, include an alphanumeric input device 712 (e.g., a keyboard), a cursor control device 714 (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or other pointing instrument), a storage unit 716, a signal generation device 718 (e.g., a speaker), and a network interface device 720.
The storage unit 716 includes a machine-readable medium 722 on which is stored the instructions 724 (e.g., software) embodying any one or more of the methodologies or functions described herein. The instructions 724 may also, reside, completely or at least partially, within the main memory 704, within the processor 702 (e.g., within the processor's cache memory), or both, during execution thereof by the machine 700. Accordingly, the main memory 704 and the processor 702 may be considered as machine-readable media. The instructions 724 may be transmitted or received over a network 726 via the network interface device 720.
As used herein, the term “memory” refers to a machine-readable medium able to store data temporarily or permanently and may be taken to include, but not be limited to, random-access memory (RAM), read-only memory (ROM), buffer memory, flash memory, and cache memory. While the machine-readable medium 722 is shown in an example embodiment to be a single medium, the term “machine-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, or associated caches and servers) able to store instructions. The term “machine-readable medium” shall also, be taken to include any medium, or combination of multiple media, that is capable of storing instructions (e.g., software) for execution by a machine (e.g., machine 700), such that the instructions, when executed by one or more processors of the machine (e.g., processor 702), cause the machine to perform any one or more of the methodologies described herein. Accordingly, a “machine-readable medium” refers to a single storage apparatus or device, as well as “cloud-based” storage systems or storage networks that include multiple storage apparatus or devices. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, one or more data repositories in the form of a solid-state memory, an optical medium, a magnetic medium, or any suitable combination thereof.
Throughout this specification, plural instances may implement components, operations, or structures described as a single instance. Although individual operations of one or more methods are illustrated and described as separate operations, one or more of the individual operations may be performed concurrently, and nothing requires that the operations be performed in the order illustrated. Structures and functionality presented as separate components in example configurations may be implemented as a combined structure or component. Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of the subject matter herein.
Certain embodiments are described herein as including logic or a number of components, modules, or mechanisms. Modules may constitute either software modules (e.g., code embodied on a machine-readable medium or in a transmission signal) or hardware modules. A “hardware module” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various example embodiments, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware modules of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware module that operates to perform certain operations as described herein.
In some embodiments, a hardware module may be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware module may include dedicated circuitry or logic that is permanently configured to perform certain operations. For example, a hardware module may be a special-purpose processor, such as a field programmable gate array (FPGA) or an ASIC. A hardware module may also, include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware module may include software encompassed within a general-purpose processor or other programmable processor. It will be appreciated that the decision to implement a hardware module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.
Accordingly, the phrase “hardware module” should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. As used herein, “hardware-implemented module” refers to a hardware module. Considering embodiments in which hardware modules are temporarily configured (e.g., programmed), each of the hardware modules need not be configured or instantiated at any one instance in time. For example, where a hardware module comprises, a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware modules) at different times. Software may accordingly configure a processor, for example, to constitute a particular hardware module at one instance of time and to constitute a different hardware module at a different instance of time.
Hardware modules can provide information to, and receive information from, other hardware modules. Accordingly, the described hardware modules may be regarded as being communicatively coupled. Where multiple hardware modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware modules. In embodiments in which multiple hardware modules are configured or instantiated at different times, communications between such hardware modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware modules have access. For example, one hardware module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware modules may also, initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).
The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented module” refers to a hardware module implemented using one or more processors.
Similarly, the methods described herein may be at least partially processor-implemented, a processor being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented modules. Moreover, the one or more processors may also, operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an application program interface (API)).
The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the one or more processors or processor-implemented modules may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the one or more processors or processor-implemented modules may be distributed across a number of geographic locations.
Some portions of this specification are presented in terms of algorithms or symbolic representations of operations on data stored as bits or binary digital signals within a machine memory (e.g., a computer memory). These algorithms or symbolic representations are examples of techniques used by those of ordinary skill in the data processing arts to convey the substance of their work to others skilled in the art. As used herein, an “algorithm” is a self-consistent sequence of operations or similar processing leading to a desired result. In this context, algorithms and operations involve physical manipulation of physical quantities. Typically, but not necessarily, such quantities may take the form of electrical, magnetic, or optical signals capable of being stored, accessed, transferred, combined, compared, or otherwise manipulated by a machine. It is convenient at times, principally for reasons of common usage, to refer to such signals using words such as “data,” “content,” “bits,” “values,” “elements,” “symbols,” “characters,” “terms,” “numbers,” “numerals,” or the like. These words, however, are merely convenient labels and are to be associated with appropriate physical quantities.
Unless specifically stated otherwise, discussions herein using words such as “processing,” “computing,” “calculating,” “determining,” “presenting,” “displaying,” or the like may refer to actions or processes of a machine (e.g., a computer) that manipulates or transforms data represented as physical (e.g., electronic, magnetic, or optical) quantities within one or more memories (e.g., volatile memory, non-volatile memory, or any suitable combination thereof), registers, or other machine components that receive, store, transmit, or display information. Furthermore, unless specifically stated otherwise, the terms “a” or “an” are herein used, as is common in patent documents, to include one or more than one instance. Finally, as used herein, the conjunction “or” refers to a non-exclusive “or,” unless specifically stated otherwise.
In an example, illustrated through
Referring now to
Off the Information Technology (IT) core, the Project Moon Habitat (PMH) encompasses various activities, including website management, social media engagement (e.g., Facebook and Twitter), and the development of a multifunctional website. This website serves as a pivotal tool, offering capabilities such as audio and video content, research papers, and more. It is designed to address both internal and external perspectives: facilitating collaboration within the PMH team and providing a customer-facing interface all designed to facilitate an internal team and externally to accelerate innovation and collaboration.
Here, the focus is on what is termed the “Progress Area.” This section encompasses a wide range of functions, including team management, project tracking, fostering quick project development, facilitating dialogue and social interaction among participants, and collecting and analyzing relevant data and statistics.
Participants are classified into four distinct categories. These categories include individuals or industries with a vested interest in space exploration and technology development. The versatility of this system caters to enthusiasts, organizations (both non-profit and for-profit), government entities, military organizations, and educational institutions. It aims to expand the existing space ecosystem by recognizing the contributions of even those engaged in seemingly peripheral roles, such as gasket manufacturing, within the space-based economy.
Significant emphasis is placed on engaging enthusiasts who represent the future generation of space developers, spanning various age groups. Their interests, projects, and contributions are vital to the mission. Peripheral participants, including grandparents and others who wish to engage on a limited basis but can contribute valuable insights, are also welcomed.
The primary data collection site is designed to capture a wide array of information, including media content, association relationships, banking details, and patents held by individuals and organizations within the an ecosystem (this ecosystem can be described as the space between and encompassing the Earth and Moon, referred to Mearth and generally defined as the Mearth Ecosystem. This system operates as a comprehensive database, similar to platforms like LinkedIn, Reddit, and Crunchbase, but tailored specifically to the Mearth Ecosystem.
In addition to primary data collection, a secondary social component is incorporated to foster interaction, collaboration, and information sharing among participants.
Under the “Community Leveraging” section, the focus is on education and outreach. The goal is to reach a billion hearts and minds by transforming the way education is delivered in the Mearth Ecosystem. Teachers worldwide are encouraged to expand their curricula by integrating space-related topics, inspiring students to explore space from various perspectives. The taxonomy of space-related subjects is extensive, including Spatial Logistics, Interstellar Communications, Terrestrial Design, Mearth Ecosystem, and more.
Event planners, researchers, teachers, and administrators are catered to, offering them tools and resources to enhance their engagement with the PMH ecosystem. This includes event planning support, research sharing, curriculum development, and administrative resources.
The alliance-focused approach aims to expedite the development of a space-based economy. By visualizing networks, leveraging AI and machine learning, and providing resources in areas such as insurance, finance, and venture capital, the goal is to connect participants and not simply stop after a first generation connection, but to allow participant to connect in multiple generational connections (person A, know person B, who knows person C, and through my connection with person A, I am able to make the connections to person C, which were not available or shown to me in any other network).
Government entities from around the world are actively involved to create a global network of offices, resources, and expertise. This collaboration spans legal and regulatory aspects, public policy influence, public-private partnerships, and educational initiatives. This is also governance and the ideation through the development of the Mearth Ecosystem and how it interacts and operates. Everything is interconnected.
To enhance clarity in participant roles and interests, the PMH Classification System is introduced. This system categorizes individuals and organizations based on their involvement in Earth, Moon, Mars, and beyond, providing valuable insights into their activities and connections within the space ecosystem.
The PMH Classification System plays a pivotal role in connecting people and fostering collaboration. It enables event planners, students, teachers, researchers, and enthusiasts to identify common interests, share resources, and engage in projects related to their specific classifications within the space domain.
The data collection process is comprehensive, capturing not only individuals' professional and educational backgrounds but also their enthusiastic interests and potential contributions to the space industry.
In summary, the MLP IT System represents a transformative platform that integrates diverse participants, enhances collaboration, and accelerates the development of the space ecosystem. By categorizing and connecting individuals and organizations, the aim is to create a sustainable space-based economy and ecosystem while fostering innovation and education.
With respect to the MLP IT System, there can be provided in one embodiment a computer-implemented system for facilitating collaboration and information management within the field of space exploration and technology development, including: a. An Information Technology (IT) core providing the technological infrastructure, said IT core comprising data storage means, processing means, and communication means; b. A Project Moon Habitat (PMH) module interconnected with the IT core, said PMH module including: i. A website with multimedia capabilities, enabling audio, video, and document storage and retrieval; ii. A Progress Area for managing project teams, fostering communication, and collecting and analyzing data and statistics related to space exploration and technology development; iii. A participant classification system categorizing individuals and organizations into distinct groups, including enthusiasts, non-profit and for-profit organizations, government entities, military organizations, and educational institutions, said classification system providing a taxonomy for space-related interests; iv. A primary data collection site configured to capture media content, association relationships, banking information, patents, research papers, and educational credentials of participants within the Mearth ecosystem; v. A secondary social component for facilitating collaboration, communication, and information sharing among participants; vi. A community leveraging feature to promote space-related education worldwide, encouraging teachers to integrate space-related topics into their curricula; vii. An alliance facilitation module enabling the visualization of networks, the identification of resources, and the connection of participants to expedite the development of a space-based economy; viii. Government involvement through a global network of offices, resources, and expertise, including legal and regulatory aspects, public policy influence, public-private partnerships, and educational initiatives; ix. A PMH Classification System categorizing individuals and organizations based on their involvement in Earth, Moon, Mars, and beyond, said system fostering collaboration and knowledge sharing among participants.
By presenting these features in a comprehensive manner, this covers the core components and functionalities of the disclosed MLP IT System, including the IT infrastructure, PMH module, participant classification system, data collection site, social component, community leveraging, alliance facilitation, government involvement, and the PMH Classification System.
Furthering the aspects of the above embodiment the system can also provide one or more of the following: (a) wherein the IT core further comprises data analysis tools configured to generate statistical insights based on the data collected within the Progress Area; (b) wherein the participant classification system includes subcategories for classifying individuals and organizations based on their respective contributions to the space-based economy, further categorizing participants according to their involvement in space-related industries, products, or services; (c) wherein the primary data collection site includes means for securely storing and managing sensitive banking and financial information associated with participants within the space ecosystem; (d) wherein the secondary social component comprises discussion forums, chat functionalities, and collaborative project management tools facilitating real-time interaction and information exchange among participants; (e) wherein the community leveraging feature includes an educational resources repository accessible to teachers and educators worldwide, offering space-related course materials, lesson plans, and multimedia content; (f) wherein the alliance facilitation module employs artificial intelligence and machine learning algorithms to identify potential collaborations and partnerships among participants, thereby enhancing the space-based economy; (g) wherein the government involvement component integrates a database of legal and regulatory resources, providing participants with access to compliance guidelines and frameworks relevant to space exploration and technology development; (h) wherein the PMH Classification System includes expandable categories beyond Earth, Moon, Mars, and beyond, allowing for the inclusion of additional celestial bodies and space environments for classification purposes; and/or (i) wherein the PMH Classification System includes expandable categories encompassing celestial bodies, space environments, and orbital positions, enabling the classification of participants based on their specific space-related affiliations and areas of interest, and allowing for the addition of new classification categories as space exploration evolves.
Referring now to
IT System Architecture: The MLP IT System Overview V2 comprises a multifaceted organizational structure, consisting of operational, marketing, and core components. Above the dotted line, the platform is depicted as running a Project Moon Hut (PMH), incorporating three primary areas: operational, marketing reach out, and core. The operational side encompasses talent management, finance, tracking, IT, and legal components. In the core, administrative functions, such as forecasting, strategy development, and insights, are conducted. Marketing covers retail, sales, PR, social, copywriting, and graphics.
Alliance Development: A foundational element of the MLP IT System is Alliance Development, leveraging artificial intelligence, machine learning, and computational social science for predictive analytics and automation. The system acts as a conduit, connecting organizations, individuals, and groups within the space industry. This facilitates accelerated innovation by assisting in finding capital, parts, personnel, and fostering collaborations among entities. Project Moon Hut (PMH) introduces an innovative approach to alliance development within the space industry. The platform incorporates advanced network analysis algorithms, social science methodologies, and a sophisticated classification system. This system categorizes and connects individuals and organizations based on shared interests and complementary projects. For example, a research institution focused on lunar exploration may be connected with a company specializing in advanced propulsion systems.
Alliance Development Activities: Under Alliance Development, the MLP IT System aims to accelerate alliances, innovation, production, insights, funding, vendor selection, and education. Administrative and organizational activities include IT, messaging, tracking, and modeling potential opportunities. The primary database stores and compiles information, facilitating network analysis and visualization. This allows individuals and teams to find alliances, talent, media, and resources within the expansive space ecosystem
Alliance Development Components: The Alliance Development component focuses on accelerating innovation, production, insights, and education within the space industry. It encompasses three key areas: Operational Side, Core Administration, and Marketing. Operational Side: Involves talent management, finance, tracking, IT, and legal functions. This area is dedicated to finding talent, managing finances, tracking activities, handling IT processes, and ensuring legal compliance. Core Administration: Pertains to administrative tasks such as forecasting, strategy development, and gaining insights. Decision-makers within this core area shape the overall direction of the organization. Marketing: Encompasses retail, sales, PR, social media, copywriting, and graphics. This area is responsible for promoting the organization, attracting alliances, and enhancing visibility.
Alliance Development Products and Services: The core product of the Alliance Development component is to connect individuals, organizations, and groups through a digital network. This network facilitates the discovery of alliances, talent, media, and resources within the space industry.
Connecting Team: Utilizes network analysis, visualization, and various tools to enhance connectivity, enabling users to find alliances, talent, and resources efficiently. Database: Unlike conventional platforms, the MLP's primary database compiles and stores information on organizations using advanced tools like network analysis and visualization. This offers unprecedented visibility into the space ecosystem.
Alliance Development Data: Data Collection: PMH initiates by collecting data from two distinct categories—industry participants and enthusiasts. For industry individuals, comprehensive information is sought, including contact details, multiple affiliations, roles, and a focus on the PMH classification system. Data Expansion: The platform aims to create a rich network by expanding and interconnecting the collected data. Utilizing Metcalfe's Law and Moore's Law, PMH leverages network strength and technological advancements to create a robust ecosystem. This can be done by gathering on-line available information and trying it back to the participants. Such that when a person logs into the network, the network may have a series of questions asking the participant if specific information that was discovered is relevant to them or if the data is connected to who they are (such as where they work, articles they have published, patents that list them as inventors, or where they have lived in the past). This helps create a deeper development of users and establishes and find connections that were not be identified by simply entering a first and last name. Networking Opportunities: Users can explore connections within the ecosystem, facilitating the formation of alliances, joint ventures, mergers, acquisitions, and other collaborative initiatives.
Community Engagement: The MLP IT System integrates Community Engagement, a separate platform sharing common data and components with Alliance Development. This platform consolidates primary data from seven distinct activities into a central repository, enabling information distribution. Blockchain capabilities may be incorporated for secure individual and organizational information storage. PMH recognizes the pivotal role of community engagement in fostering a vibrant and collaborative space ecosystem. The platform serves as a dynamic hub for information and educational exchange. Participants are assigned diverse roles and interests within an expanded classification system, creating a rich environment for learning and collaboration. For instance, a teacher interested in space education may connect with a space agency's educational outreach program through PMH.
Community Engagement: Community Engagement focuses on creating a platform for random collisions of innovation, accelerating ideation, and expanding the space ecosystem. It engages various stakeholders, including students, educators, researchers, event planners, administrators, and enthusiasts. Educational Collaboration: Facilitates the creation and sharing of educational content related to space activities. Allows educators to contribute course materials, notes, and lessons, fostering a global collaborative learning environment. Project Collaboration: Enables the sharing and collaboration of projects created by students and participants in space-related events. The platform ensures that valuable ideas generated at events are not lost but become part of a growing knowledge base.
Community Engagement Data. Enthusiast Data: PMH extends its reach to enthusiasts-individuals not directly part of the space industry but contributing to it through reading, research, and event participation. Visual Understanding: The system endeavors to provide a visual representation of the industry's data set, identifying experts, organizations, and their interconnections, leading to a geometric multiplier effect. Educational Exchange: Community engagement encourages information and educational exchange, fostering innovation, alliances, and informed policymaking.
Governance Coordination: Governance Coordination within the MLP IT System involves engaging governments to enhance understanding and establish governance mechanisms within the Moon/Earth Ecosystem. While not a learning management system (LMS), Community Engagement provides individuals the capability to share information globally, fostering growth, information sharing, and education for future generations. Governance coordination within Project Moon Hut leverages data to inform and influence policy decisions, ownership structures, regulation, and funding strategies in the space ecosystem. A dedicated space for dialogue and decision-making is provided, facilitated by the platform. A unique rating system tracks individuals' alignment with stated preferences, promoting accountability and facilitating collaborative decision-making processes. This may include collaborations between private space companies and regulatory bodies to establish safety standards for lunar missions.
Governance Coordination: Informed Decision-Making: PMH utilizes data to aid in understanding and making informed decisions regarding policy, ownership, resources, regulations, funding, and security. Cross-Platform Decision Influence: Users, including government officials and alliance members, can better understand and influence decisions across various platforms, enhancing governance coordination. Expanding Influence: As community engagement grows, more funding becomes available, leading to impactful decisions that address industry obstacles and promote progressive governance.
Visibility Enhancement: The MLP IT System addresses challenges in locating specific space-related products and services. Unlike traditional search engines, it expands the ecosystem's visibility by including a wide range of contributors, from bolt manufacturers to governmental bodies. This comprehensive digital network aims to bridge information gaps and provide a centralized platform for all entities involved in the Mearth ecosystem. This could further allow groups of people to create a sub-group for the purpose of completing a common goal or task or even working together to build an item.
Participation and Data Tracking: The MLP encourages active participation from companies, organizations, and individuals, akin to platforms like LinkedIn. The system employs advanced tracking metrics to monitor the number of deals, searches, direct messages, and companies formed. This data tracking serves to provide valuable insights, trends, and patterns within the space industry.
Future Innovations and Collaborations: The MLP envisions future innovations by incorporating a prize and capabilities organization model. This model allows individuals or companies to post challenges, seeking solutions from the broader community, fostering a spirit of collaboration and innovation. The ecosystem further expands with features like the Eco-Genetic Engine, providing a graphical interface for users to explore and identify potential collaborators or areas of interest.
The proposed invention, referred to as the “Primary Moon/Earth Ecosystem” or PMH, represents a comprehensive platform designed to gather, organize, and utilize data to foster collaboration and innovation within the space industry and related communities. The system encompasses three primary components: Alliance Development, Community Engagement, and Governance Coordination. This detailed description will delve into each facet of the invention.
Implementation Process: Event Planner Integration: An event planner, seeking to engage 9 to 15-year-olds, accesses PMH for tools and instructions on hosting a space-related event. After the event, participants, including students, post project details, contributing to the expansion of the ecosystem. Taxonomy Utilization: PMH employs a taxonomy to categorize and understand specific interests. This allows for targeted connections, such as matching students interested in spatial logistics with media opportunities, funding sources, or educational institutions.
Educational Facilitation: Teacher Integration: Teachers globally can utilize PMH resources to kickstart space-related projects. The system encourages the sharing of information, creating a collaborative environment for both teachers and students. Global Collaboration: Students access PMH to learn from peers worldwide, facilitating communication, sharing notes, and potentially forming new companies or enhancing learning experiences.
Conclusion: Leveraging Data and Networks: PMH emphasizes leveraging data and networks to unite the scattered space industry ecosystem. The goal is to create a structured and efficient platform, encouraging global collaboration, innovation, and the progression of space-related activities.
In summary, the Primary Moon/Earth Ecosystem represents a groundbreaking invention that harnesses the power of data and networks to transform the space industry, fostering collaboration, innovation, and informed decision-making. The platform's comprehensive approach integrates industry professionals, enthusiasts, and educational institutions into a unified ecosystem for the betterment of space-related activities.
With respect to the MLP IT System, there can be provided in one embodiment a computer-implemented system for a comprehensive space ecosystem platform, comprising: (a) Alliance development features utilizing network analysis, social science, and a classification system for identifying collaboration opportunities; (b) Community engagement functionalities promoting information exchange and collaboration among diverse participants; and (c) Governance coordination capabilities using data to inform and influence policy decisions, ownership, regulation, and funding within the space ecosystem.
In further aspect of the embodiment there may include: (a) wherein the alliance development component employs a sophisticated classification system to categorize and connect individuals and organizations based on shared interests and projects; (b) wherein the community engagement aspect fosters a dynamic environment for learning and collaboration with an expanded classification system; (c) wherein governance coordination includes a dedicated space for dialogue and decision-making, and a rating system to track individuals' alignment with stated preferences.
In other embodiments, there may be provided a collaborative platform for the space industry, comprising (a) Alliance Development component configured to collect comprehensive data from industry participants and enthusiasts, wherein said data includes contact details, affiliations, roles, and a focus on a PMH classification system; (b) Community Engagement component integrated with said Alliance Development component, further configured to expand and interconnect collected data, utilizing Metcalfe's Law and Moore's Law for network strength and technological advancements, thereby creating a robust space industry ecosystem; (c) Governance Coordination component utilizing data to inform and influence policy decisions, ownership structures, regulations, and funding strategies, incorporating a unique rating system to track individuals' alignment with stated preferences.
As provided, additional aspects may include an integrated system (a) within the collaborative platform further comprising: i. Advanced network analysis algorithms facilitating the categorization and connection of individuals and organizations based on shared interests, roles, and complementary projects within the space industry; and ii. A sophisticated classification system providing a visual representation of the industry's data set, identifying experts, organizations, and their interconnections; (b) wherein the Community Engagement component serves as a dynamic hub for information and educational exchange, assigning diverse roles and interests to participants within an expanded classification system, fostering collaboration and innovation in space education; (c) wherein the Governance Coordination component includes leveraging data to inform and influence policy decisions, ownership structures, regulations, and funding strategies within the space industry, thereby promoting informed decision-making through a unique rating system tracking individuals' alignment with stated preferences; (d) wherein the multifaceted IT system architecture comprises operational, marketing, and core components, including: i. Operational side covering talent management, finance, tracking, IT, and legal functions; ii. Core administration focusing on forecasting, strategy development, and insights; iii. Marketing encompassing retail, sales, PR, social media, copywriting, and graphics; (e) wherein the Alliance Development component includes leveraging artificial intelligence, machine learning, and computational social science for predictive analytics and automation, thereby acting as a conduit to connect organizations, individuals, and groups within the space industry, facilitating accelerated innovation; (f) wherein the comprehensive digital network includes addressing challenges in locating specific space-related products and services by expanding the ecosystem's visibility, including a wide range of contributors and providing a centralized platform for all entities involved in the space industry; (g) wherein the future-oriented model within the collaborative platform includes incorporating a prize and capabilities organization model, allowing individuals or companies to post challenges and seek solutions from the broader community, thereby fostering collaboration and innovation within the space industry; (h) wherein an expansion feature within the collaborative platform includes a graphical interface for users to explore and identify potential collaborators or areas of interest within the space industry, facilitating global collaboration and innovation; and (i) wherein the data collected from industry participants includes information related to contacts, multiple affiliations, roles, focus on the PMH classification system, addresses, roles within the PMH classification system, focus areas in lunar exploration, patent information, education, videos, investments, associations, and connections to insights.
Referring now to
The foundational concept revolves around the significance of parallel progression across these phases to ultimately achieve the goal of placing people on the moon. Recognizing the potential time constraints, the platform aims to initiate work simultaneously across all phases, ensuring the holistic advancement of plans, designs, leasing processes, and industrial park components. This coordinated effort intends to reduce the overall time required, addressing challenges in accelerating both Earth and space-based ecosystems.
At its core, the platform begins with an intricate registration process, aiming to acquire essential user data. Unlike conventional registrations, this process seeks to obtain comprehensive profiles by leveraging techniques akin to LinkedIn's engagement strategies but tailored specifically to PMH's objectives. Utilizing insights from platforms like Crunchbase, it aspires to enhance profiles swiftly, focusing on categories aligned with PMH solutions.
Further optimizing engagement, the platform explores innovative methods like web scraping and potential access to platforms such as LinkedIn to expedite profile completion. Incorporating AI-driven chat systems becomes pivotal in swiftly gathering and compiling user data for robust profiles, ensuring users find the platform engaging and valuable.
A critical aspect lies in data visualization and networking capabilities, envisioning extensive network visualizations and analytics to facilitate effective connections. The platform aims to enable detailed searches across various fields, empowering users to seek targeted networking opportunities based on industry, historical data, event attendance, and individual ecosystems.
Moreover, the platform intends to enhance visibility regarding products and services without facilitating direct sales. By allowing companies to showcase offerings and interests, it aims to create a transparent environment where users can gauge funding rounds, job openings, and company timelines for informed decision-making.
In addition to these functionalities, the platform encourages collaboration through project postings, challenges, and job opportunities. It aspires to foster collaboration and investment by showcasing ongoing projects and funding needs while offering customizable content feeds to personalize user experiences.
Internally, the platform establishes a structured organizational framework encompassing various teams responsible for governance, data management, product improvement, messaging, tracking, modeling, projects, and connections. Emphasis remains on the platform's role as a facilitator, ensuring equal opportunity without bias in determining success.
Furthermore, the platform envisions an improved messaging system, integrating CRM-like features for streamlined communications and better user identification. It also looks toward a comprehensive product catalog without direct sales involvement, complemented by an admin dashboard to facilitate effective platform management and user navigation.
Method for Comprehensive User Profiling within an Alliance Development Platform
The ADP employs an innovative method leveraging AI-driven chat systems and data scraping mechanisms from diverse online sources. It swiftly compiles comprehensive user profiles, transcending basic demographics to encompass nuanced preferences, historical involvements in Earth and space-related endeavors, and approximately 450 data fields tailored to capture diverse user attributes and interests.
An intricate networking infrastructure within the ADP visualizes individual and organizational ecosystems. Advanced search capabilities enable users to explore nuanced criteria, such as event attendance, historical involvements, and specific industry preferences, empowering targeted connections within the ADP ecosystem.
The ADP operates as a collaborative hub, facilitating transparent visibility into project requirements, challenges, job openings, and funding needs. It empowers users to engage in informed decision-making by presenting detailed insights into ongoing projects, funding rounds, and company timelines.
An evolved messaging system integrates CRM-like features, providing comprehensive user profiles alongside received messages. This feature streamlines user interactions, enhancing user identification and efficient communication within the platform.
Comprehensive Product and Service Catalog within an Alliance Development Platform
The ADP hosts an extensive cataloging feature showcasing products, services, funding needs, and offerings. This functionality enriches networking possibilities and informed decision-making within the platform without engaging in direct sales.
The ADP operates within a meticulously structured framework with dedicated teams responsible for governance, data management, product enhancement, messaging, tracking, modeling, project oversight, and fostering connections. An intuitive administrative dashboard facilitates efficient management and navigation within the ADP ecosystem.
In another aspect, the Alliance Development Platform (ADP) is a sophisticated system designed to accelerate lunar habitat establishment and promote collaboration among entities invested in the Project Moon Hut (PMH) initiative. This digital ecosystem facilitates the achievement of a Moon habitat while expediting the four distinct phases of PMH and engaging individuals and organizations interested in the Mearth Ecosystem and any one or all of the projects, innovations, and opportunities that stem from the development.
With respect to the Alliance Development Platform, there can be provided in one embodiment a method for a method for Comprehensive User Profiling within an Alliance Development Platform involving AI-driven chat systems and data scraping mechanisms to compile detailed user profiles comprising approximately 450 data fields. A Networking and Visualization System for Comprehensive Ecosystem Analysis enabling advanced search capabilities for targeted connections within the Alliance Development Platform. A Collaborative Project and Opportunity Platform providing transparent visibility into project requirements, challenges, job openings, and funding needs within the Alliance Development Platform. An Enhanced Messaging and User Identification System integrating CRM-like features for streamlined user interactions and identification within the Alliance Development Platform. A Comprehensive Product and Service Catalog within an Alliance Development Platform facilitating product visibility, services, and offerings without engaging in direct sales. A Structured Organizational Framework and Administrative Dashboard enabling efficient management and navigation within the Alliance Development Platform ecosystem.
The disclosure, delineated as Element 1100 in
The disclosure discusses the pivotal role of data, delineating three fundamental types: primary data (proprietary to an entity), public data (freely available), and private data (accessible through purchase). It underscores the significance of robust primary data, highlighting its quality and relevance. The intent is to leverage Project: Moon Hut's Eco genetic engine to aggregate primary data directly from individuals signing up, engaging affiliates, and potentially utilizing mechanisms like referrals or promotions.
Furthermore, the disclosure details the diverse spectrum of individuals and organizations sought for inclusion within PMH's ecosystem. It underscores the intention to transcend the individual-centric approach of platforms like LinkedIn, aiming to highlight collective achievements of companies and individuals alike. Categories encompass a broad spectrum ranging from space industry administrators, scientists, and enthusiasts to educators, businesses, banking entities, governments, media, and military organizations. The objective is to create a comprehensive and diverse ecosystem that fosters collaboration, innovation, and alliances across varied sectors and geographies. This includes industries that do not even recognize that it is working in the Mearth ecosystem because its products and services are believed to be (by the company) to be strictly a Earth product—not even realizing the expanded use of the product beyond Earth into the Mearth ecosystem.
The disclosure emphasizes the envisioned tools to be developed within the platform: project postings, alliance formation, and an alliance finder. These tools aim to facilitate project collaborations, team formations, and deal flow management within the PMH ecosystem. The platform seeks to become a nexus for information exchange, collaboration, and opportunity discovery, fostering a dynamic network facilitating business interactions, collaborations, and resource identification.
Additionally, the disclosure touches upon the strategic significance of these tools, foreseeing their potential to accelerate Earth and space ecosystem development, foster innovation, and catalyze random collisions leading to various opportunities such as investments, partnerships, visibility, and talent acquisition.
Central to this exploration is the elucidation on data acquisition strategies. It dives into the trinity of data sources: primary, public, and private. Primary data, considered the cornerstone in platform industries, is underscored as the desired Holy Grail. It's the personalized, proprietary information owned directly by an entity, contrasting with public data, readily available from official sources like censuses, and private data, procurable through purchases, such as data provided by companies like Dun & Bradstreet or LexisNexis. The disclosure illuminates the significance of robust primary data, emphasizing its relevance within the construct of Project Moon Hut and its Eco genetic engine.
Further, it expands upon the multifaceted spectrum of individuals and entities sought for integration into the PMH ecosystem. Beyond the individual-centric approach seen in platforms like LinkedIn, the focus extends to highlight the collective prowess of companies and individuals. This spectrum encompasses a diverse range, from space industry administrators, scientists, and enthusiasts to educators, businesses, banking entities, governments, media, and military organizations. The overarching aim is to foster collaboration and innovation across a wide array of sectors and global locations.
The disclosure extrapolates on envisioned tools integral to the PMH platform, elucidating on the functionalities of project postings, alliance formation, and an alliance finder. These tools are envisioned to facilitate collaboration, team building, and deal flow management within the PMH ecosystem. The goal is to establish PMH as a comprehensive platform, a hub for information exchange, collaboration, and the discovery of opportunities, thereby fostering business interactions, partnerships, and resource identification.
Moreover, it underscores the strategic significance of these tools, projecting their potential to accelerate the development of Earth and space ecosystems. These tools are envisaged to act as catalysts, fostering innovation and facilitating serendipitous encounters, leading to a myriad of opportunities such as investments, partnerships, visibility, and talent acquisition.
This holistic approach outlined within the disclosure serves as the foundation for the Alliance Development module of PMH, with the overarching goal of accelerating innovation and fostering a collaborative ecosystem.
As provided in one embodiment, the Alliance Development can be provided by the following embodiment, a method for an Alliance Development within a platform ecosystem, comprising: a. Collecting primary data directly from individuals and entities registering within the platform. b. Aggregating said primary data to form a robust and comprehensive database integral to the platform. c. Acquiring public data from diverse sources including official records and censuses. d. Procuring private data through authorized means such as purchase from recognized data providers. e. Classifying and categorizing collected data based on relevance and applicability within the Project Moon Hut (PMH) Eco genetic engine. f. Utilizing acquired data to foster collaboration and alliance-building among a diverse array of entities including space industry administrators, scientists, educators, businesses, governments, media, and military organizations.
In another aspect, there can be provided a system for Alliance Development within a platform ecosystem, comprising: a. A data collection module configured to acquire primary data directly from individuals and entities registering within the platform. b. An aggregation module configured to compile and organize primary data into a comprehensive database integral to the platform's functionalities. c. A data acquisition component interfacing with diverse sources to gather public data from official records and accessible sources. d. A procurement mechanism facilitating the acquisition of private data from authorized data providers through permissible means. e. A classification system categorizing collected data into pertinent categories aligned with the Project Moon Hut (PMH) Eco genetic engine. f. A collaborative interface enabling interactions among diverse entities such as space industry administrators, scientists, educators, businesses, governments, media, and military organizations for fostering alliances and collaborations.
And in yet another embodiment there can be provided a platform ecosystem for Alliance Development, comprising: a. An interface facilitating direct data collection from individuals and entities signing up within the platform. b. A database system architected to aggregate, store, and manage primary data collected directly from platform registrants. c. Integrations with diverse sources to access and incorporate public data from recognized repositories and official records. d. Secure and authorized pathways enabling the acquisition of private data from accredited data providers. e. A categorization framework aligning collected data with the Project Moon Hut (PMH) Eco genetic engine taxonomy. f. Collaboration tools and interfaces fostering interaction among a wide spectrum of entities encompassing space industry administrators, scientists, educators, businesses, governments, media, and military organizations to facilitate alliance-building and collaborative endeavors within the platform ecosystem.
Referring now to
The system comprises modules that effectively drive acceleration within the Earth and space-based ecosystems. A crucial component is the alliance development module, analogous to established platforms like LinkedIn, Crunchbase, or Palantir, enabling individuals and organizations to collaborate, form teams, and access resources conducive to accelerating innovations within the ecosystem.
Central to this innovation are the modules dedicated to alliance development, akin to established platforms such as LinkedIn or Crunchbase. These modules serve as integral components, facilitating research, team formation, funding acquisition, talent recruitment, and providing access to pivotal information driving innovation across the entire system.
Emphasizing the importance of team creation, the system establishes a structured approach to form teams through four critical phases. Additionally, it advocates parallel innovation, drawing inspiration from large-scale corporate methodologies, where multiple teams work on similar yet distinct challenges simultaneously. This strategy aims to avoid past pitfalls and ensures simultaneous development across different aspects-industrial park, extended stay, and community-within the Moon Hut project.
To foster effective team creation, the system advocates for securing the four crucial phases instrumental in forming robust teams. Moreover, it emphasizes the strategy of parallel innovation, echoing methodologies employed by large-scale corporations like AMD or Intel. This approach involves multiple teams simultaneously tackling similar yet distinct challenges to drive accelerated innovation. Encouraging Diverse Opportunities and Collaborative Efforts:
To foster a diverse ecosystem, the system introduces various strategies such as forming multinational teams, incentivizing innovation through Moon Hut Type X prizes, and creating deal flows to secure capital for novel ideas and projects. The inclusion of diverse challenges and prize structures encourages broad participation and contributions from individuals, organizations, and multinational players.
Diversity and collaboration play pivotal roles within the framework. Strategies range from forming multinational teams across different time zones to incentivizing innovation through Moon Hut Type X prizes. These measures encourage diverse participation and contributions across various challenges, fostering a dynamic and inclusive ecosystem.
The system introduces tools to streamline team formation, including a user-friendly platform for team creation, selection of interests, capabilities, and collaborative tools for team members. Additionally, it proposes the implementation of Moon Hut prizes, Mearth Lancers (akin to freelance platforms), and a deal flow mechanism to connect organizations seeking capital with potential investors. These mechanisms are structured to ensure accountability, fairness, and efficiency in deal making and project execution.
Practical tools form the backbone of this innovation, offering a user-friendly interface for team formation, selection of interests, and collaborative mechanisms for team members. Additionally, the system introduces mechanisms such as Moon Hut prizes and Space Lancers, a platform resembling freelance sites, to foster deal flow and secure capital for innovative projects.
As provided by one embodiment of this aspect, there is provided a computer-implemented method for facilitating team formation within an Earth and space-based ecosystem, comprising: Providing a user interface for individuals and organizations to indicate their interest in team formation; Implementing a phased approach to guide team creation based on specific criteria and objectives; and Incorporating a classification system to align team objectives with the Moon Hut project phases and focus areas.
In another aspect there can be provided a system for incentivizing parallel innovation across diverse challenges within a Moon Hut project, comprising: Implementing a prize structure akin to Moon Hut Type X prizes to encourage diverse participation and rapid development of innovative products, services, or experiences; and Enabling organizations to propose challenges, set prize amounts, and establish evaluation criteria for submissions. A platform for facilitating deal flow and securing capital within the Earth and space-based ecosystem could also include: Providing a comprehensive interface for organizations to seek investment by presenting project details, milestones, and associated materials; and Establishing an interactive platform for potential investors to review, analyze, and engage with projects based on their preferences and investment criteria.
Referring now to
In one embodiment, a technology platform, referred to as Project Moon Hut (PMH), is envisioned to facilitate the integration of space education into diverse academic disciplines. PMH serves as an educational exchange platform designed to offer curated content, resources, and collaboration opportunities to educators worldwide. It encompasses a comprehensive taxonomy, the Moon Hut Classification System, categorizing space-related topics across various Earth, space, and interdisciplinary domains.
PMH fosters a collaborative environment where educators can access, share, and adapt space-related educational materials. The platform enables educators to create and disseminate innovative space-focused content, including slideshows, class exercises, videos, and research materials. This embodiment emphasizes the accessibility and adaptability of space education materials, supporting educators in delivering comprehensive and current space-related content across diverse academic subjects.
Furthermore, PMH encourages global collaboration among educators and students from different countries and cultures. It facilitates cross-country communication, collaborative projects, and shared learning experiences, fostering a rich and diverse educational environment. The platform's aim is to encourage educators to integrate space-related topics seamlessly into their curricula, promoting innovation, collaboration, and interdisciplinary learning.
Project Moon Hut (PMH) represents an innovative and inclusive educational platform designed to revolutionize the integration of space education into various academic disciplines. At its core, PMH embodies the Moon Hut Classification System, a sophisticated taxonomy categorizing and structuring space-related subjects across Earth, space, and interdisciplinary domains. This taxonomy serves as a comprehensive guide, enabling educators to effortlessly navigate and access a wide spectrum of space-focused content.
In conjunction with this classification system, PMH hosts an extensive repository of meticulously curated educational materials. These materials encompass a diverse range of mediums such as slideshows, interactive exercises, videos, and comprehensive research materials. Educators leveraging PMH gain access to a rich tapestry of space education resources tailored to seamlessly integrate into diverse academic subjects, promoting interdisciplinary learning experiences.
Central to the PMH ethos is the Billion Hearts and Minds initiative, a visionary endeavor aimed at catalyzing global educational transformation through the infusion of space-related education. This initiative envisions a paradigm shift in educational pedagogy, encouraging educators worldwide to embrace space-related topics within their curricula.
Through the Billion Hearts and Minds initiative, PMH strives to empower educators to incorporate space education into their teaching methodologies. It promotes a pedagogical approach where educators, irrespective of academic disciplines, can allocate dedicated blocks of time—be it a few days or weeks—to immerse students in space-related content. PMH facilitates this process by offering educators pre-designed educational modules, teaching aids, and multimedia resources that cater to these specific blocks, enabling educators to seamlessly infuse space concepts into their courses.
Moreover, the initiative fosters collaborative learning experiences among educators and students on a global scale. PMH's platform serves as a hub for educators to share insights, collaborate on curriculum development, and engage in cross-cultural dialogue, enhancing the richness and diversity of space education integration across different geographical and cultural contexts.
One of PMH's key strengths lies in its adaptability and customization capabilities. Educators have the flexibility to tailor space education materials to suit the unique requirements of their academic subjects. The platform's versatility empowers educators to customize content delivery methods, ensuring that space-related concepts are effectively integrated and engaging across diverse subject matters.
Additionally, PMH's adaptability extends to accommodate varied teaching methodologies and preferences. Educators can personalize content delivery, utilizing PMH's features to foster an interactive and immersive learning experience centered around space education.
PMH's adaptability empowers educators to customize space education materials for diverse subjects. For instance, educators can tailor space-related content for literature courses by exploring space-themed literature or for biology classes by discussing the biological effects of space travel, exemplified by the challenges astronauts face with their eyesight in microgravity environments.
In one aspect of this embodiment, there is provided a technology platform for space education integration that may provide a comprehensive educational platform, Project Moon Hut (PMH), housing the Moon Hut Classification System, offering educators structured access to space-related content across Earth, space, and interdisciplinary domains; Curated educational resources encompassing a diverse range of mediums, providing educators with multimedia materials tailored for integration into varied academic subjects; Collaboration tools facilitating global communication and collaborative learning among educators and students, fostering cross-cultural dialogue and shared educational experiences and/or Adaptability features empowering educators to customize and modify space education materials, ensuring seamless integration into diverse academic disciplines and teaching methodologies.
In another aspect there may be provided a method for facilitating interdisciplinary space education by including A method encompassing the provision of educators with access to a wealth of space-related educational materials via the Project Moon Hut (PMH) platform, enabling seamless integration into diverse academic subjects; Encouraging educators to embrace interdisciplinary space education through dedicated blocks of space-focused content integrated into their curricula; Fostering global collaboration among educators and students, enhancing cross-cultural learning experiences and collaborative projects through the Billion Hearts and Minds initiative; and/or Facilitating the adaptation and customization of space education materials to accommodate diverse teaching methodologies and subjects, ensuring comprehensive integration into educational curricula across the globe.
In another aspect there is a technology platform for space education integration, including: a. A Moon Hut Classification System categorizing space-related topics across Earth, space, and interdisciplinary domains. b. Curated educational content accessible to educators, including slideshows, exercises, videos, and research materials. c. Collaboration tools enabling global communication and project-based learning among educators and students. d. Adaptability features allowing customization and modification of educational materials to suit diverse academic disciplines. Alternatively, there is provided a method for facilitating interdisciplinary space education, comprising: a. Providing educators with access to a diverse range of space-related educational materials. b. Encouraging educators to integrate space-focused content into various academic subjects and curricula. c. Fostering global collaboration among educators and students through a centralized educational exchange platform. d. Enabling the adaptation and customization of space education materials to accommodate different teaching methodologies and subjects.
Referring now to
The platform's vision isn't limited to creating content but rather amplifying perspectives and prompting a paradigm shift akin to the profound experience astronauts undergo when witnessing Earth from space. The intent is to evoke a similar shift in individuals on Earth by incorporating space and Mearth-related concepts into diverse educational curricula. For instance, by introducing space psychology into standard psychology courses, the platform endeavors to encourage educators to allocate a fraction of their teaching time to space-related topics.
The platform leverages the education sector's concept of “blocks” within a curriculum, aiming to secure a fraction of classroom time devoted to space-related subjects. By engaging educators across various educational institutions, from elementary schools to universities worldwide, the platform endeavors to create a network effect. This network would encompass diverse subjects, from biology and chemistry to arts and legal studies, thereby potentially reaching millions of students globally.
The key stakeholders in this platform include educators, students, administrators, researchers, event planners, and individuals passionate about space education. Educators are provided with a comprehensive toolkit to facilitate the seamless integration of space-themed content into their courses. The platform offers various resources, from lesson plans and multimedia tools to collaborative spaces for educators to share their materials and collaborate with peers worldwide.
Students accessing the platform are presented with a repository of curated content, including books, videos, and interactive assignments, fostering collaboration among peers from diverse cultural backgrounds. The platform encourages student-to-student collaboration across borders, aiming to promote a more holistic understanding of space-related subjects.
Administrators, both at academic institutions and governmental levels, are equipped with tools to introduce space education into the system, monitor collaboration, and facilitate teachers' engagement with the platform. The platform also extends its reach to researchers, providing them with a platform to share their findings, collaborate on projects, and ensure accurate and up-to-date information dissemination.
Moreover, the platform caters to event planners and organizers, offering resources to conduct space-themed events, competitions, and conferences to further engage communities in the space education initiative.
In essence, the Community Engagement Platform “Billion Hearts and Minds” is a transformative educational initiative aiming to redefine traditional education by integrating space concepts, fostering global collaboration, and stimulating innovative thinking across diverse educational landscapes.
Project Moon Hut is a unique collaborative platform focused on fostering education and innovation by establishing a global community-driven space for researchers, educators, and learners. Unlike conventional initiatives, the platform doesn't directly compete with organizations or host events like conferences or contests. Instead, its mission is to facilitate success for researchers and educational institutions by providing a background support system. The emphasis is on fueling a cyclone of alliance development, community engagement, and governance coordination.
The platform's core strategy is to empower individuals by promoting collaborative learning, sharing, and building on collective knowledge. It aims to create a paradigm shift in thinking, from Earth-centric to a broader Mearth-oriented perspective. By encouraging collaboration and leveraging existing resources, Project Moon Hut drives innovation through shared learning experiences.
Contrary to profit-driven models, Project Moon Hut operates as a not-for-profit tool, focusing on leveraging existing technologies and fostering collaboration. It draws parallels to the evolution of GPS technology, where leveraging individuals' contributions led to significant advancements.
The overarching mission of Project Moon Hut extends beyond educational objectives; it aspires to create a unifying space for humanity by fostering collaboration without bias towards any particular group. The platform aims to demystify and democratize education in a coherent, scalable manner.
Project Moon Hut provides a structured framework comprising a box, a roof, and a door—a metaphor for universally accessible educational infrastructure. It emphasizes four phases to bring space education into homes, engaging a billion hearts and minds, fueling innovation cycles, and establishing a robust database of ideation.
The platform's strength lies in its collaborative nature, transcending national boundaries to encourage global collaboration. It aligns with the not-for-profit ethos, steering clear of profit-driven motives while prioritizing the growth and success of participants. It emphasizes the importance of accurate educational content and collaborative sharing among students and educators, envisioning a seamless global network of shared knowledge and innovation.
In an embodiment of the invention, there is provided a collaborative platform for education and innovation facilitation, termed “Project Moon Hut,” comprising: A digital ecosystem designed to facilitate global collaboration among researchers, educators, and learners; b. A background support system that operates without directly competing with existing organizations, conferences, or contests, focusing on fostering success for researchers and educational institutions; and/or A mechanism to fuel alliance development, community engagement, and governance coordination among participants. In other aspect of the embodiment there may be provided one or more of the following: wherein the platform operates as a not-for-profit tool, leveraging existing technologies and emphasizing collaboration over profit-driven motives; wherein the platform drives a paradigm shift in education by encouraging collaborative learning, sharing, and building on collective knowledge among participants; a structured framework comprising a box, a roof, and a door metaphor, symbolizing universally accessible educational infrastructure; involving four phases to bring space education into homes, engaging a billion hearts and minds, fueling innovation cycles, and establishing a robust database of ideation; emphasizing a collaborative, global network transcending national boundaries to encourage global collaboration among participants; demystifying and democratizing education in a coherent, scalable manner, prioritizing accurate educational content and collaborative sharing among students and educators; and/or providing a seamless global network of shared knowledge and innovation, aligned with a not-for-profit ethos to prioritize the growth and success of participants.
Reimagining Governance on Earth and within the Moon/Earth Ecosystem PLATFORM
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The primary objective of this invention is to revolutionize governance paradigms, transcending conventional models to address complex global challenges. These encompass a wide array of issues, including but not limited to climate change mitigation, social displacement, sustainable resource management, resolution of political unrest, and the cumulative impact of these challenges on global societies. The module aims to adopt a holistic approach that extends beyond financial systems or traditional voting mechanisms, considering a broader spectrum of challenges and outcomes.
The disclosed governance coordination module serves as an expansive platform empowering users to actively engage in the formulation and implementation of governance structures across Earth, the Moon, the Moon/Earth Ecosystem, and the realm of space. It aims to inspire diverse perspectives, encouraging users to envision and contribute to sustainable societies within Moon-based environments, in space, and across diverse global communities. Central to its operation is inclusivity, accommodating individuals from diverse demographic backgrounds, cultures, and linguistic diversities. The module incorporates various accessibility features, including multilingual support and tailored tools for users with visual impairments, ensuring an all-encompassing reach and engagement.
Recognizing the intricate nature of educating individuals on global awareness and governance principles, this module challenges traditional pedagogical methods. It emphasizes real-world instances where global awareness is cultivated through community engagement and understanding societal dynamics, regardless of physical travel. The invention aims to impart comprehensive knowledge about the complexity of diverse governance systems existing globally.
A pivotal aspect of this invention is the in-depth exploration and analysis of multifarious governance structures. These encompass various forms of capitalism, socialism, democracy, communism, and authoritarianism. The invention underscores the complexity of navigating these diverse systems, especially within the context of rapid technological advancements and the emerging frontier of space governance.
The disclosed module introduces novel approaches in addressing global challenges by going beyond traditional financial systems and voting mechanisms. It explores innovative ways to address 6 MegaChallenges: climate change, mass extinction, ecosystems collapses, displacement, unrest, and exponential impacts. By considering a broader spectrum of challenges, the invention aims to lay the groundwork for a more comprehensive global governance strategy.
Central to the invention is the platform's flexibility, allowing users to envision and engage in governance strategies tailored to various environments-whether on Earth, the Moon, or within space. The module facilitates interactive experiences, enabling users to participate in simulated scenarios to comprehend and contribute to governance decisions across diverse ecosystems.
A critical aspect of the invention is its emphasis on societal inclusivity and representation. It ensures that individuals from diverse backgrounds-across age, race, religion, creed, sexual orientation, and gender—are given a voice and actively participate in shaping governance models. It advocates for technological advancements to enable cross-language communication, addressing linguistic barriers and fostering a more inclusive governance discourse.
The module acknowledges challenges in promoting global awareness. It advocates for a deeper understanding of global dynamics beyond physical borders, emphasizing the significance of community engagement, cross-cultural exchanges, and enhanced technological tools to bridge language and cultural barriers.
The invention addresses the complexity of governance education by presenting comprehensive analyses of diverse governance systems globally. It challenges preconceived notions and misconceptions about governance structures by offering detailed insights into various forms of capitalism, socialism, democracy, communism, and authoritarianism, shedding light on their intricacies and implications. Different manners to handle such diverse understandings such that when a user types or selects a particular type of government, a drop down menu may appear that allows the user to read definitions and ensure that they are picking the correct term to help avoid or alleviate misunderstandings.
In the context of the emerging space domain, the module delves into the complexities of governing this frontier. It examines governance challenges specific to space exploration, considering factors such as communication protocols, agricultural practices, manufacturing regulations, and cybersecurity measures applicable in space environments.
Central to the module's effectiveness is its integration of cutting-edge technologies. It leverages blockchain technology, decentralized autonomous organizations, and other innovative tools within the governance framework, acknowledging their role in enhancing governance transparency, efficiency, and participation.
A significant focus of the invention is to revolutionize decision-making processes. It aims to move beyond impulsive or single-dimensional decision-making paradigms, emphasizing the importance of measured, thoughtful, and collaborative decision-making rooted in diverse perspectives and comprehensive analyses of global challenges.
The disclosed module plays a pivotal role in shaping the future of societies within the Moon/Earth Ecosystem and the broader space domain. By fostering collaborative governance approaches and embracing inclusivity, it lays the groundwork for sustainable, adaptive governance systems conducive to the diverse environments of Earth, the Moon, and space.
The invention stands as a pioneering solution in system transformation, particularly in challenging conventional governance models and fostering a more comprehensive, adaptive, and responsive governance framework across various ecological and societal contexts.
A core aspect of the invention is navigating the complexity inherent in diverse governance structures. It recognizes the challenge of aligning disparate governance systems, acknowledging the need for adaptable, context-specific governance models responsive to the unique challenges posed by different environments.
The disclosed module emphasizes the need for continuous evolution and adaptation in governance systems. It advocates for dynamic governance structures that evolve in response to societal, technological, and environmental shifts, ensuring their relevance and effectiveness in shaping sustainable societies.
A critical feature of the invention is its ability to navigate between macro and micro perspectives. It consistently underscores the importance of considering global dynamics while recognizing the nuances and localized needs of diverse communities, bridging the gap between overarching governance strategies and community-specific requirements.
The invention actively addresses misconceptions prevalent in governance education. It emphasizes the need for a more nuanced understanding of diverse governance systems, debunking misconceptions and promoting a more informed, insightful discourse surrounding governance models.
In conclusion, the present invention introduces an extensive governance coordination module within the Project Moon Hut ecosystem. Its multifaceted approach aims to revolutionize governance paradigms across Earth, the Moon, and the broader space domain, fostering inclusivity, addressing global challenges, and paving the way for sustainable governance structures.
As provided in this embodiment there is including a governance coordination module for comprehensive decision-making within an integrated Moon/Earth Ecosystem and space governance, comprising: a. A user-centric interface providing interactive simulations and decision-making scenarios adaptable to diverse ecological and societal contexts;
b. A multi-faceted educational component analyzing and debunking prevalent misconceptions surrounding diverse governance models globally, educating users on nuanced perspectives of governance paradigms; c. Technological integration incorporating multilingual support, accessibility tools, and innovative interfaces fostering inclusive engagement among users with diverse linguistic and visual needs; d. Incorporation of advanced technological frameworks including blockchain integration, decentralized autonomous organization (DAO) structures, and innovative tools aimed at enhancing transparency, efficiency, and user participation within the governance system; e. A dynamic framework adaptable to evolving societal, technological, and environmental shifts, ensuring relevance and effectiveness in shaping sustainable governance structures across Earth, Moon, and space domains; and f. Provision for comprehensive representation and engagement of individuals from various demographic backgrounds, cultures, and societal groups, fostering a diverse and inclusive governance discourse.
In other aspects of this embodiment there can be provided one or more of the following: wherein the user-centric interface facilitates real-time simulations allowing users to engage in decision-making scenarios across simulated Earth, Moon, and space environments; wherein the educational component offers detailed analyses and comparisons of diverse governance systems, including capitalism, socialism, democracy, communism, and authoritarianism, aiming to challenge misconceptions and promote informed discourse; accessibility features such as language translation support, tools aiding users with visual impairments, and customizable interfaces catering to diverse user needs; wherein the technological integration includes utilization of blockchain technology, decentralized autonomous organization (DAO) structures, and innovative tools enhancing transparency, efficiency, and participation within the governance framework; a dynamic framework capable of adapting to emerging societal, technological, and environmental changes, ensuring continual relevance and effectiveness in shaping sustainable governance structures; and/or emphasizing comprehensive representation and engagement of individuals from diverse demographic backgrounds, cultures, and societal groups, fostering an inclusive and diverse governance discourse.
Referring now to
NGCP incorporates diverse decision-altering tools such as redefining challenges and question-based engagement strategies to steer users towards efficient and innovative approaches to problem-solving. The platform seamlessly integrates space implications with global challenges, aiming to provide comprehensive solutions tailored to Earth's ecosystem while contemplating future lunar habitation.
The system utilizes anonymous discussion spaces and diverse dialogue rooms to foster candid and unbiased conversations about governance, economics, and societal impacts. By encouraging users to address challenges from fresh and diverse perspectives, NGCP aims to transcend traditional social platforms, fostering meaningful discourse and transformative governance practices.
The Nudging Governance Coordination Platform (NGCP) stands as an innovative system designed to address the intricate challenges of coordinating governance within Earth's ecosystem and the prospective lunar environment. Illustrated as element 1600 in
Leveraging influential figures like Albert Einstein, Gandhi, or Jack Ma, NGCP prompts users to imagine how these iconic personalities might approach current challenges. By invoking these figures, the platform aims to spark fresh and unconventional perspectives, offering a novel way to address complex issues.
The NGCP draws inspiration from the concept of Jugaad, promoting resourceful problem-solving strategies. Users are encouraged to creatively leverage the resources at hand to effectively tackle the challenges they encounter. The platform underscores the importance of resourcefulness in finding solutions.
Moreover, the NGCP provides secluded and anonymous spaces for open dialogues, allowing for unbiased discussions that encourage creativity and exploration of unconventional solutions. By offering these spaces, the platform fosters an environment conducive to innovative thinking without the constraints of preconceived notions or biases.
This platform integrates tools that challenge traditional problem-solving paradigms. It prompts users to reimagine challenges with altered parameters, encouraging them to consider completing tasks in reduced time or with fewer resources. By altering the parameters, NGCP encourages users to think inside and outside the box and develop innovative solutions.
Eye-opening scenarios introduced on the platform prompt users to reconsider problems and challenges from different angles, inspiring innovative and efficient solutions. These scenarios serve as catalysts for fresh thinking, pushing individuals to explore new perspectives and novel approaches to problem-solving.
NGCP employs question-based engagements to alter decision-making patterns. Through thought-provoking questions and prompts, users are challenged to consider diverse viewpoints and are nudged towards innovative solutions. The platform aims to encourage users to think critically and creatively about governance challenges.
Integrating space implications with global challenges, NGCP ensures a comprehensive problem-solving approach applicable to Earth's ecosystem and potential lunar habitation scenarios. It invites users to explore the impacts and implications of their solutions in both terrestrial and extraterrestrial contexts.
Additionally, secluded and anonymous dialogue rooms within NGCP serve as spaces for open, unbiased discussions on Multidisciplinary Human Factors, a term that encompasses a range of human-centric disciplines and considerations, including social, political, economic, religious, technological, environmental, educational, entrepreneurial, cultural, and ethical/moral aspects. It also implies inclusivity of other related disciplines that may not be explicitly listed but are relevant in the context of human interaction and societal structures. This term effectively communicates the comprehensive scope you aim to cover in your patent while remaining grounded in established nomenclature. These rooms facilitate discourse on Multidisciplinary Human Factors, fostering an environment that encourages diverse perspectives and exploration of unconventional solutions.
Strategically steering discussions away from conflicts, and into clarity through forced AI question generation during dialog creation, NGCP emphasizes constructive discourse, enabling users to engage in meaningful problem-solving and exchange of innovative ideas. By promoting a positive and collaborative environment, the platform encourages users to contribute to meaningful problem-solving efforts. In one aspect this could allow a user to use the network and system to create positive or more accurate collaborative messages to other user/connections in other geographies and with other political ideation. The system in a review of an original message can highlight and create suggestive changes to ensure the receiver obtains a positive or more accurate message. This can be accomplished by an AI-based communication facilitation system, designed to enhance and optimize interpersonal messaging across various contexts. Central to its functionality is the system's ability to conduct a sophisticated analysis of the psychological profiles of both the sender and recipient of a message. Leveraging this insight, the AI provides immediate, actionable feedback to the sender, focusing on the potential perception and impact of their message. Key features include: •Tone Adjustment: The system advises on altering the tone of communication, suggesting more nuanced language choices. For instance, it may recommend using phrases like “could be” or “might be” instead of definitive statements such as “mus,” thus reducing the possibility of confrontational or argumentative responses; •Factual Accuracy Check: It identifies and corrects factual inaccuracies in the message, alerting the sender about potential errors. This feature is particularly valuable when the recipient is known for their emphasis on accuracy, such as an expert in a specific field, ensuring that the communication remains credible and well-received; •Cross-Cultural Efficacy: The system is adept at bridging cultural communication gaps, understanding and adapting to a wide array of cultural norms and expressions. This makes it an invaluable tool in global communications, where cultural sensitivity is paramount; •Inclusivity Across Demographics: Designed to cater to diverse age groups, skill levels, and psychological dispositions, the system ensures effective communication irrespective of the user's background or capabilities; •Adaptability to Attention Variabilities: With the understanding that attention spans and engagement levels can vary, the system tailors its feedback to maintain engagement and effectiveness in communication. In essence, this AI-driven system acts as an intelligent mediator, enhancing the quality of interpersonal interactions. By guiding users towards clearer, more empathetic, and accurate communication, it plays a pivotal role in achieving desired conversational outcomes, fostering understanding, and minimizing misinterpretations in both personal and professional settings
Through community-driven collaboration, NGCP harnesses the collective intellect of a diverse community. It encourages cooperative problem-solving while valuing individual contributions. The platform serves as a forum for users to share ideas, collaborate on solutions, and collectively innovate.
Focused on comprehensive solutions and transformative governance practices, NGCP aims to transcend conventional social platforms. It emphasizes impactful interactions, meaningful engagement, and collaborative problem-solving as key drivers of its functionality.
In various aspects of the invention embodiments, there is provided in one or more, a governance coordination platform, comprising a user interface configured to prompt users with queries inspired by influential figures, thereby stimulating innovative thinking. The platform may further include a creative space feature enabling users to creatively address challenges by utilizing available resources, fostering inventive problem-solving strategies. In addition, aspect may provide secluded and anonymous spaces for unbiased discussions, facilitating open discourse conducive to innovative problem-solving; challenges to users to reframe challenges by altering parameters, encouraging inventive problem-solving by changing variables; presenting eye-opening scenarios to users, encouraging novel perspectives and innovative approaches to problem-solving, employing question-driven interactions to stimulate altered decision-making patterns, fostering critical thinking and innovative problem-solving approaches; integrating terrestrial and extraterrestrial implications, encouraging users to consider solutions for both environments; an anonymous dialogue room within the platform of claim 1, providing a space for unbiased discussions on governance and societal impacts, fostering diverse perspectives for innovative problem-solving; emphasizing constructive discourse and collaboration, providing an environment conducive to meaningful problem-solving and exchange of innovative ideas; a collaborative problem-solving feature within the platform includes harnessing the collective intelligence of a diverse community, promoting cooperation and innovation among users.
Referring now to
The disclosed embodiment emphasizes two distinct approaches for user definition. User Creation: This method involves identifying user archetypes by associating names, behaviors, and characteristics with specific user personas. These personas encompass a wide spectrum, from internal users within an organization to external clients, customers, or vendors. This approach allows for a personalized understanding of diverse user types. Avatar Creation: Another approach involves the creation of avatars representing a diverse array of user demographics. These avatars symbolically represent unique traits, such as behaviors, regional affiliations, and occupational roles. For instance, an avatar might represent a teacher catering to different educational levels or professionals from various geographical regions, facilitating a visual representation of varied user types.
Evolution of User Categorization—the disclosed evolution of user categorization began with a simplistic classification of ‘space people’ and ‘non-space people,’ gradually evolving to delineate distinct subsets within the space industry. Initially, the classification involved engineers, enthusiasts, and non-space individuals but later expanded to encompass a myriad of roles and involvements within and tangential to the space industry with multiple levels of engagement.
Challenges and Iterations in User Classification—the process of defining user categories encountered multifaceted challenges. Attempting to fit individuals into predefined categories proved intricate due to multifaceted roles and engagements. For instance, individuals tangentially linked to space-related activities, like a programmer contributing to space technology indirectly, posed classification complexities.
Hierarchical User Classification—to address the complexities, the disclosed embodiment introduced a hierarchical user classification system. Quaternary Users: Individuals indirectly impacted by space-related advancements or technology, irrespective of their direct involvement or awareness. Secondary Users: Individuals engaged in space-related activities, discussions, or events, influencing awareness or contributing indirectly. Primary Users: Individuals primarily focused on space-related endeavors, varying from direct involvement in space technology to individuals within organizations directly serving space-related functions.
User Classification Utility—this detailed user classification system aims to optimize user experience within the PMH ecosystem. It serves as a foundational tool to tailor products, services, and operational strategies, ensuring a coherent and tailored experience for various user groups.
Utility and Application—this user classification system stands as a foundational tool for tailoring experiences within the PMH ecosystem. It serves as a cornerstone for optimizing products, services, and strategies, ensuring tailored experiences for diverse user groups.
User Creation Challenges—defining users, especially those indirectly linked to space technology, presented significant challenges due to their multifaceted roles. Attempting to fit such individuals into predefined categories posed complexities.
Iterative Refinement—the system underwent continual refinement to accommodate diverse user roles, aiming to ensure an accurate representation of their multifaceted engagements within and tangential to the space industry.
Enhanced Categorization Model—through iterations, the disclosed system moved from oversimplified classifications to a multi-layered model accommodating diverse and intricate user roles within the space ecosystem.
Utility in Product Development—understanding and defining user categories play a pivotal role in product development. It aids in tailoring pitches, identifying necessary resources, and envisioning user needs for effective product/service development along side of giving platform users insights in which to engage other users internal or external to their ecosystems.
Intricacies of User Roles—the disclosed system highlights the complexities inherent in categorizing users with multifaceted engagements, such as programmers indirectly contributing to space technology.
Refined User Profiling—the evolution from simplistic classifications to intricate profiling facilitates a more comprehensive understanding of various user roles within the space industry and tangential sectors.
Optimized User Experiences—the ultimate goal of this user classification system is to optimize user experiences within the PMH ecosystem. It aims to ensure tailored experiences catering to the nuanced needs of diverse user categories.
Foundation for Operational Strategies—the hierarchical user classification system forms the foundation for operational strategies, ensuring cohesive and tailored experiences across diverse sectors within the PMH ecosystem.
Continual Development—the refinement of user categorization is a continual process, aiming to encapsulate the diverse and evolving roles of individuals within and around the space industry.
In one embodiment of the present invention, there is provided a computer-implemented hierarchical user classification system within a project ecosystem, comprising: a. A user database storing detailed user personas associating specific names, behaviors, and traits with distinct user profiles; b. A categorization module constructing avatars representing diverse user demographics symbolizing unique traits, behaviors, and occupational roles within the project ecosystem; c. An iterative refinement algorithm for continual development and refinement of user categorization to accommodate multifaceted user roles within and tangential to the space industry in the project ecosystem. And in other aspects there can be provided a system with one or more enhancements defined: wherein the user database further includes categorization attributes enabling the hierarchical classification of users into quaternary, secondary, and primary categories; wherein the categorization module generates avatars representing various user demographics to visualize user traits and roles within the project ecosystem; wherein the iterative refinement algorithm employs machine learning techniques to evolve and refine user classifications based on evolving roles within the project ecosystem; further comprising a user interface facilitating the input and modification of user profiles and classifications within the project ecosystem; wherein the hierarchical user classification system serves as a foundational tool for tailoring products, services, and operational strategies for diverse user groups; wherein the user categorization attributes include behavioral indicators, occupational roles, and direct or indirect engagements with space-related activities; wherein the categorization module adjusts user personas and avatars based on real-time data and user behavioral changes within the project ecosystem; further comprising a data analytics component analyzing user engagement patterns and preferences to optimize user experiences and tailor products or services; and/or wherein the user database and categorization module collaborate to generate comprehensive reports and insights regarding user classifications within the project ecosystem.
Referring now to
The PMH User Avatars Platform emerges from the necessity to address the intricacies of the continually evolving space industry. Traditional systems often lack the specificity required to cater to the diverse needs of stakeholders within the space sector. This platform aims to bridge these gaps by providing tailored avatar-based representations within the Project Moon Hut framework, fostering collaboration and driving innovation.
The PMH User Avatars Platform represents a sophisticated system within the Project Moon Hut (PMH) ecosystem, fostering diverse interactions through the creation and utilization of avatars. These avatars serve as comprehensive representations of stakeholders across the space industry, enabling enhanced collaboration, decision-making, and innovation among internal team members, space professionals, educators, students, and government entities
The PMH User Avatars Platform encompasses a multifaceted system catering to various components crucial in shaping the interactions and functionalities within the Project Moon Hut ecosystem. Internal team structuring is facilitated by avatars representing distinct roles and responsibilities, including core facilitators engaged in planning, forecasting, and innovation, alongside operational teams handling IT, finance, alliance development, community engagement, and governance coordination and other related functions such as IN2, New product and service development, strategy, etc. . . . . Externally, the avatars encompass a wide spectrum, from space industry professionals like engineers and rocket scientists to enthusiasts, non-space individuals from diverse backgrounds, agencies like the European Space Agency, and media professionals seeking space-related stories.
Avatars serve unique purposes, aiding professionals in networking, identifying resources, exploring uncharted sectors within the space industry, and even enhancing space-related education for educators and students. Government and agency avatars provide insights into the space industry, influencing policies, investments, and regional opportunities. Each avatar within the PMH User Avatars Platform is meticulously designed to cater to specific needs and functionalities, fostering seamless collaboration, resource identification, and knowledge dissemination within the space industry. These avatars act as pivotal elements, driving collaboration, innovation, and networking within the PMH ecosystem, aligning with the overarching goal of Project Moon Hut to facilitate advancements and interactions within the space sector.
The platform's functionality enables seamless creation, representation, and utilization of avatars across diverse domains within the space industry, ensuring a comprehensive and efficient ecosystem where stakeholders can connect, collaborate, and innovate effectively. The internal and external avatars within the PMH User Avatars Platform serve as representations of diverse stakeholders, allowing for enhanced networking, resource identification, collaboration, and knowledge sharing across various facets of the space industry.
By providing avatars with distinct purposes and functionalities, the PMH User Avatars Platform ensures tailored interactions and services for professionals, educators, students, and government entities involved in the space industry, enabling efficient collaboration and decision-making. The comprehensive design of the PMH User Avatars Platform ensures that each avatar serves a distinct purpose, facilitating interactions, resource identification, collaboration, and knowledge sharing across diverse segments within the space industry.
Avatars serve as functional representations within the PMH ecosystem, enabling stakeholders to navigate, collaborate, and innovate within the space industry, aligning with Project Moon Hut's vision of advancing interactions and advancements in the space sector.
In summary, the PMH User Avatars Platform serves as an integral system within the Project Moon Hut ecosystem, providing tailored and efficient interactions, collaboration, and innovation avenues for stakeholders across the space industry.
In one or more of the embodiments there is provided a system for managing avatars within a space industry ecosystem, comprising: a. A database module configured to store avatar information representing stakeholders across various segments of the space industry; b. An interface module facilitating interactions and collaborations among internal team members, space professionals, educators, students, and government entities using said avatars; and c. A classification system enabling tailored representations of stakeholders' roles, responsibilities, and purposes within said space industry ecosystem.
In other aspects, there can be provided a system: wherein the database module stores avatar information detailing distinct roles and responsibilities of core facilitators and operational team members within the space industry; wherein the interface module enables networking, resource identification, collaboration, and knowledge sharing among stakeholders represented by said avatars; wherein the classification system categorizes avatars to represent a wide spectrum of stakeholders, including space industry professionals, enthusiasts, educators, students, and government entities; wherein the avatars serve as functional representations aiding professionals in exploring uncharted sectors, networking, and enhancing space-related education within the space industry; wherein the avatars representing government and agency entities provide insights into the space industry, influencing policies, investments, and regional opportunities; wherein the interface module ensures tailored interactions and services for professionals, educators, students, and government entities involved in the space industry; wherein the classification system ensures avatars' distinct purposes and functionalities, fostering seamless collaboration, resource identification, and knowledge dissemination within the space industry; wherein the avatars act as pivotal elements, driving collaboration, innovation, and networking within the space industry ecosystem, aligned with the overarching goal of facilitating advancements and interactions within said space sector; and/or wherein the interface module enables seamless creation, representation, and utilization of avatars across diverse domains within the space industry, ensuring comprehensive and efficient networking and collaboration among stakeholders.
Referring now to
These tools are crafted to be versatile, applicable across alliances, lines of development, and community engagement. The objective is to provide actionable tools that catalyze innovation, provoke new ideas, foster deals, and unlock opportunities, encouraging individuals to approach the platform with a mindset geared towards constructive dialogue.
Tool 1: Shaping Positive Discourse The first tool revolves around instilling a positive and constructive approach to communication. Drawing from the experience of teaching at NYU, the approach involves building in questions and suggestions. In this model, individuals are encouraged to refrain from outright criticism and, instead, offer constructive feedback. This methodology, proven in an educational setting, promotes a collaborative environment where improvement is the focus.
Tool 2: Leveraging the Power of Questions Recognizing the battles and disagreements inherent in any platform, the second tool introduces the strategic use of questions. Inspired by real-world experiences, engaging in thoughtful questioning instead of confrontations has proven effective. By incorporating this concept into the platform, users can redirect potentially confrontational interactions towards productive conversations. This includes suggestive changes, rephrasing or even different approaches in messages.
Tool 3: Structuring Comments for Value Addition This tool involves implementing a systematic approach to comments. When users post a new comment, the system prompts them to classify it based on Project Moon Hut Classification System parameters. Additionally, users are compelled to answer specific questions regarding the purpose and value of their contribution. This structured approach ensures that comments contribute meaningfully to the ongoing dialogue.
Tool 4: Validation and Accountability through Ratings To maintain the quality of contributions, a rating system is proposed. Instead of simplistic thumbs-up or thumbs-down options, users can assign a nuanced score, providing a more accurate reflection of their stance. This not only discourages indiscriminate negativity but also introduces a mechanism for identifying consistently negative contributions.
Tool 5: Personalized Feed Options Recognizing the diverse interests of users, the fifth tool suggests incorporating a personalized feed option. Users can tailor their feeds based on predefined categories such as alliances, community engagement, governance coordination, etc. . . . This customization ensures that individuals receive content aligned with their specific interests, streamlining their experience on the platform.
Tool 6: Fringe Ideas for Innovative Solutions Acknowledging the value in unconventional ideas, this tool emphasizes the importance of fringe concepts. Rather than solely relying on popular opinion, the platform should actively seek out and highlight innovative ideas on the fringes. This approach fosters a culture of exploration and opens avenues for groundbreaking solutions.
Tool 7: Political Accountability through Voting Records This tool aims to enhance political transparency by providing users with access to voting records of politicians. By aggregating information on how officials voted on specific policies, the platform empowers users to hold politicians accountable. This feature contributes to informed discussions and promotes a deeper understanding of political decisions.
Tool 8: Seamless Integration of Modules The final tool focuses on user experience by ensuring seamless integration across modules. While the platform is structured around three modules, users should experience a unified interface. Whether engaging in lines of development, community building, or governance, the user interface remains cohesive, eliminating unnecessary complexity.
These tools collectively contribute to the overarching goal of creating a dynamic, collaborative, and purpose-driven platform within the Project Moon Hut ecosystem.
In an aspect of an embodiment of the invention, there is provided a governance tool suite for an interactive platform within the Project Moon Hut ecosystem, comprising a plurality of tools facilitating positive discourse, structured communication, content classification, user feedback, personalized content delivery, innovative idea promotion, political transparency, and interface integration. In furtherance thereof, additional elements can be provided, such as but not limited to: a tool for shaping positive discourse that encourages constructive communication by prompting users with questions and suggestions rather than outright criticism; the tool leveraging the power of questions redirects confrontational interactions into productive conversations through strategic questioning methods; the tool for structuring comments prompts users to classify comments based on predefined parameters and answer specific questions to ensure valuable contributions; wherein the tool for validation and accountability employs a nuanced rating system for user contributions to discourage indiscriminate negativity and identify consistently negative content; wherein the tool for personalized feed options allows users to customize content delivery based on user-defined preferences, enhancing user experience; wherein the tool emphasizing fringe ideas encourages the exploration and promotion of unconventional ideas to foster innovation; wherein the tool for political accountability provides users with access to voting records of politicians, promoting transparency and informed discussions; and/or wherein the tool for seamless integration of modules ensures a unified user interface across lines of development, community engagement, and governance within the platform.
Referring now to
Tool Eleven addresses the issue of content interaction online. Recognizing the rapidity of feedback on articles or videos without actual engagement, mechanisms are proposed to ensure thorough engagement. Strategies include implementing ‘watch/read verification’ buttons and time-based comment access to encourage viewership before engagement, thereby ensuring informed interactions.
Tool Twelve emphasizes instant group creation and collaboration to expedite Moon Hut development. Tools such as open-source whiteboarding and document sharing facilitate real-time coordination on governance topics, fostering deeper and quicker responses. Creating immediate discussion groups centered around posted articles enhances focused discussions and parallel chat sessions.
Moreover, strategic decision-making is emphasized, drawing from the ‘CST model’ advocated in “Paid to Think” (Chapter 3), stressing the significance of desired outcomes preceding strategies. Understanding individuals' motivations beyond monetary objectives is highlighted, ensuring clarity on desired outcomes for effective decision-making within groups.
Tool Thirteen proposes an innovative feature allowing users to hover over words or links for contextual clarity. Enabling immediate access to definitions or explanations, particularly for space-specific terminologies, ensures comprehensibility for a wider audience not versed in space jargon.
Furthermore, a governance-focused feature surfaces when specific terms are entered, necessitating the selection of specific categorizations to ensure nuanced understanding and accurate representation, enhancing clarity in discussions, notably avoiding oversimplifications and misunderstandings.
The disclosed features aim to promote expansive thinking, inclusivity, and cultural understanding. Tools facilitating network analysis, behavior-aware communication, and minority perspective acknowledgment underscore the importance of diverse viewpoints, fostering holistic and unbiased decision-making within the Moon Hut ecosystem.
Additionally, functionality enhancements for historical context retrieval, translation support, and integration of various Earth-centric data aim to create a comprehensive, accessible knowledge repository. Integration with behavioral tools and multifaceted evaluation systems for ideas and papers fosters a balanced and nuanced assessment of contributions.
Lastly, the disclosure emphasizes the importance of sharing space innovations applicable to Earth-based solutions, collecting narratives for historical context, and showcasing the impact on Earth, intending to catalyze innovation beyond the space domain, potentially benefitting education, alliances, and new enterprises.
In one or more embodiments defined by this section, there may be provided a computer-implemented platform module enhancement system facilitating comprehensive engagement within a governance ecosystem, comprising: a. A content interaction verification module configured to validate user interaction based on content consumption duration before enabling user engagement; b. A collaborative group creation module facilitating real-time coordination, open-source whiteboarding, and document sharing for expedited governance discourse; c. A contextual clarification module providing hover-over definitions for complex terms to enhance comprehension within the governance ecosystem; and d. A categorization-enforced governance tool ensuring nuanced categorization selection to prevent misrepresentation in discussions.
The embodiment may be further clarified by one or more of the following system enhancements including aspects that further comprising an inclusive communication and decision-making toolset integrating network analysis, behavior-aware communication, and minority perspective acknowledgment; incorporating a comprehensive knowledge repository system with historical context retrieval, translation support, and diverse data integration; featuring an evaluation system for ideas and papers incorporating nuanced assessment criteria for balanced evaluation within the governance ecosystem; including a feature facilitating the sharing of space innovations for Earth-based solutions and gathering narratives for historical context; wherein the content interaction verification module includes mechanisms to validate user interaction duration before permitting comments or engagements; wherein the collaborative group creation module enables immediate discussion group formation based on posted articles or governance topics; wherein the contextual clarification module provides comprehensive hover-over definitions for specialized terminologies within the governance ecosystem; wherein the categorization-enforced governance tool prompts nuanced categorization selection to ensure accurate representation and understanding in discussions; integrating inclusive communication and decision-making toolsets encompassing network analysis, behavior-aware communication, and minority perspective acknowledgment for holistic decision-making.
Referring now to
In this section, we will delve into the tools designed to enhance the overall performance of the platform modules within Project Moon Hut (PMH). Illustrated in
It is important to foster a mindset that aligns with the objectives of PMH, emphasizing the need for a homepage that stimulates thoughts related to PMH, the Moon Hut, and faster thinking. While we aim for an aesthetically pleasing layout, it is crucial to avoid excessive complexity that might deter users, akin to the user experience provided by Google, where visual elements do not impede cognitive processes. Our layout should seamlessly engage users while subtly steering their focus.
To illustrate the impact of clear organizational branding, consider the case of City Super in Hong Kong, where a consolidation effort reduced 24 brands to three: City Super, Cooked Deli, and Log-on. This restructuring clarified the brand identities, streamlining internal and external communication. Such strategic branding decisions can streamline operations and clarify roles within a complex organizational structure.
Effective communication within the PMH ecosystem is essential. Presently, various messaging platforms like Facebook, Instagram, LinkedIn, WeChat, WhatsApp, Line, and Signal are in use. However, these platforms lack efficient message management capabilities. An integrated messaging system, possibly within a Customer Relationship Management (CRM) tool, can streamline communication by allowing users to mark messages for follow-up, add notes, or highlight key points for easy reference. This system would enhance efficiency and reduce the risk of oversight due to message overload.
Furthermore, a comprehensive event calendar system is necessary to coordinate events across different platforms. This centralized system would enable users to view and participate in relevant events based on their interests and location. Implementing a consistent naming convention for events would facilitate better organization and networking opportunities, allowing users to identify and engage with relevant events more effectively.
In addition to streamlining messaging and event management, it is crucial to enhance the user experience when accessing content. Clear date visibility on articles is essential to prevent users from consuming outdated information inadvertently. Moreover, implementing an advanced review and commenting system with AI capabilities can revolutionize content interaction. This system would allow users to provide feedback directly on specific sections of an article, creating a more interactive and insightful reading experience.
Finally, to maintain a high-quality user base and content, a rating system for users and content can be invaluable. This system would enable users to gauge the credibility and expertise of contributors, promoting meaningful interactions and reducing distractions caused by irrelevant or low-quality content.
In summary, the proposed tools aim to optimize user engagement, streamline communication, and enhance content interaction within the PMH ecosystem, aligning with the overarching goal of establishing a robust platform for innovation and collaboration in space exploration.
In one aspect of the invention, there is an embodiment for a computer-implemented system for facilitating collaboration, knowledge sharing, and innovation in the space industry, comprising: a. a technical infrastructure configured to support a digital platform; b. a user interface providing access to features for community engagement, content curation, and user experience design; c. an integration of emerging technologies such as virtual reality (VR) and augmented reality (AR) for immersive experiences; d. a data analytics and feedback loop for continuous improvement; and e. an ethical framework addressing data privacy, algorithmic bias, and digital rights.
In other aspects of the embodiment, there can be provided: wherein the technical infrastructure is scalable and secure to accommodate a large user base and ensure data security; wherein the user interface includes features for discussion forums, interest groups, virtual events, and networking opportunities; wherein the content curation system ensures accuracy, relevance, and high-quality information on the platform; wherein the user experience (UX) design is intuitive, easy to navigate, and accessible across different devices; wherein the integration of emerging technologies enhances educational and training capabilities; wherein the data analytics and feedback loop inform decision-making processes for platform optimization; wherein the ethical framework upholds ethical standards and respects user rights in platform development and usage; and/or wherein the platform prioritizes continuous innovation and agility in its development process to remain competitive and relevant in the space industry.
PMH Special Details within the Content Platform
Referring now to
The platform, referenced generally as element 2200 in
Key Elements and Features: Purpose-Driven Platform: The system operates as a purpose-centric environment fostering collaborative efforts aimed at conceptualizing and realizing the Moon Hut initiative's vision. It prioritizes collective contributions, community-driven interactions, and governance models aligned with desired outcomes.
Data Integrity and User Control: A cornerstone of this platform involves preserving data integrity and user autonomy. It ensures user-controlled content visibility, empowering users to curate their content consumption and edit misleading information for enhanced transparency.
Metric Visualization and Comprehensive Dashboard: The platform offers an intuitive dashboard providing metrics regarding ongoing activities, user participation, video contributions, donations, and information lookups. It emphasizes ease of access and data retrieval akin to Unit4's information accessibility paradigm as compared to SAP, where access to data is difficult and input is easy
Categorization and User Associations: Innovative data categorization strategies allow identification and association of individuals with organizations beyond their primary affiliations. This facilitates highlighting independent contributions within the Moon Hut environment.
Lexicon Establishment: A defined lexicon framework for Project Moon Hut establishes a standardized language across the platform, simplifying communication and aligning with the core values and focus on the Moon Hut.
Interface Design and Customization: The user interface embodies simplicity and elegance, akin to Apple or Google designs, allowing personalization through profile banners and visual representations, aiming to surprise users with visual navigation and avoidance of traditional list-based displays.
Terminology Simplification: The system actively avoids industry-specific jargon and abbreviations, ensuring a universally understandable language to bridge communication gaps between space and non-space individuals.
Inclusive Collaboration: The platform promotes collaboration across diverse disciplines, extending beyond STEM fields to embrace arts, literature, sports, and other domains, fostering a holistic and multidisciplinary approach within the space ecosystem.
Global Collaboration and Community Outreach: It advocates for global collaboration by fostering connections across borders, encouraging knowledge sharing, and nurturing inclusivity among diverse communities, emulating successful collaborative models such as the Ran Ramon Foundation's diverse events bringing in a eclectic group of individuals to facilitate complex discussions. The Foundation also leverages experts in their ecosystem as a means of facilitating further advancement and discussion towards innovation.
Ecosystem Expansion and Networking: The platform strives to expand its ecosystem by incorporating entities beyond traditional space-related industries. This includes engaging companies like Samsung, bolt manufacturers, and even sign manufacturers, aiming to redefine their relevance within the space industry ecosystem.
The platform detailed in this description represents a pivotal innovation, intending to revolutionize collaborative governance and community engagement within the Moon Hut initiative and other global ecosystems. Its multifaceted approach, encompassing intuitive interfaces, holistic engagement strategies, and ecosystem expansion initiatives, seeks to redefine the boundaries of collaborative platforms for societal and terrestrial advancement.
In one aspect of the invention, this embodiment may provide for a content platform system comprising: a. A purpose-driven interface facilitating collaboration and engagement among users for the development of the Moon Hut; b. An information dissemination mechanism utilizing nesting buttons and neural networks for enhanced data visualization and presentation; c. A customizable user interface allowing personalization through visual elements and user-controlled content visibility; and d. An integrated lexicon defining project-specific terminologies and categorizing elements for coherent communication and comprehension within the platform environment.
In addition thereto, the embodiment may provide for one or more of the following a governance framework restricting misleading content and fostering community-driven content moderation; the information dissemination mechanism utilizes neural networks to provide novel perspectives of information to users; the user interface customization includes personalized profile banners and diverse visual representation options for user connections and interactions; incorporating a centralized database for tracking user participation, contributions, and affiliations across multiple organizations; utilizing a proprietary lexicon to standardize terminology and enhance communication coherence within the Moon Hut development community, employing advanced visualization techniques to represent user connections and data in a non-list format for enhanced user experience; emphasizing a user-friendly design that prioritizes simplicity and accessibility akin to established tech company interfaces; promoting user inclusivity by avoiding specialized industry jargon and employing universally understandable terminology for space-related discussions; and/or enabling cross-disciplinary engagement by accommodating a broad spectrum of subjects from arts, literature, to STEM-related topics within the platform ecosystem.
Referring now to
At its core, this project draws inspiration from Airbnb's early challenges and subsequent success through strategic presentation enhancements. Similarly, it acknowledges the predictive algorithms employed by search engines like Google and Amazon, enabling efficient user queries, thereby highlighting the significance of predictive AI algorithms in content delivery.
Objective and Value Proposition: the primary objective of the Seed Companies Project is to drive platform virality, ensuring rapid user adoption by fostering an engaging, data-rich environment. Successful platforms thrive on inclusivity, relevance, and the speed of data assimilation. By ensuring quick data inclusion and a user-friendly interface, we aim to create a platform that not only attracts but retains users through continuous, meaningful interactions.
Database and Network Integration: central to this endeavor is the collection and integration of diverse data sources. We're setting the goal of compiling a database encompassing over 25,000 companies, both within the space industry and beyond. The database structure comprises an extensive form with 400 fields, facilitating comprehensive data collection and providing a robust foundation for our AI engine.
Avatar and Data Classification: the project outlines five distinct avatars integral to Project Moon Hut's ecosystem: space industry entities (Space X, Blue Origin), space agencies (NASA, JAXA), industry-supporting companies, space enthusiasts, and purpose-driven organizations addressing global mega-challenges. Ensuring inclusion and accurate representation of these avatars within our database is pivotal.
Primary Data Creation and Platform Development: the project focuses on the creation of primary data, aiming for higher accuracy and ownership. This effort distinguishes between primary, public, and private data sources. Primary data, acquired directly or through reliable means like bank loans, promises superior quality for establishing our platform's credibility and functionality.
User-Centric Approach and Presentation: furthermore, the project emphasizes a user-centric approach, encapsulating the ‘overview effect’ for individuals joining the platform. The presentation of network effects and connections, along with intuitive data discovery tools, shall constitute a pivotal aspect of the user experience, enabling swift value extraction from the platform.
Educational and Collaborative Initiatives: to facilitate learning and collaborative improvement, the project includes presentation exercises for individuals involved. These sessions aim to encourage sharing experiences, lessons learned, tools utilized, and the creation of value within the platform, fostering a culture of continual enhancement and knowledge sharing.
In one embodiment of the invention, there is provided for a data priming system for a user-engagement platform, comprising: a. a data collection module configured to compile information from diverse sources, including but not limited to space industry entities, agencies, supporting companies, enthusiasts, and purpose-driven organizations; b. an AI-based prediction engine designed to process the compiled data and provide predictive insights, enhancing user interactions and facilitating data assimilation; c. a user-centric interface enabling network visualization, data discovery, and user-specific connections within an ecosystem; d. a database structure with extensive fields accommodating comprehensive data collection, categorization, and integration; and e. a primary data creation mechanism aimed at acquiring reliable and accurate information directly, ensuring platform credibility and reliability.
In other aspects, there is provided for a data priming system for a user-engagement platform, comprising: a. a data collection module configured to gather information from diverse sources relevant to seed companies and associated entities; b. an AI-powered prediction engine for processing collected data, enabling predictive insights, and enhancing user interactions within the platform; c. a user-centric interface facilitating network visualization and data exploration, emphasizing connections and relationships between seed companies; d. a structured database incorporating over 400 fields for comprehensive data storage, categorization, and seamless integration; e. a primary data acquisition mechanism aimed at obtaining validated and reliable seed company data for platform credibility and reliability.
These embodiments may be further enhanced by one or more of the following elements: wherein the data collection module further includes tools for scraping, organizing, and categorizing information from multiple sources; wherein the AI-based prediction engine employs machine learning algorithms for predictive analysis and content delivery based on user interactions; wherein the user-centric interface includes visualization tools enabling users to explore network connections and relationships between diverse entities; wherein the database structure comprises a form with over 400 fields for comprehensive data capture and analysis; wherein the primary data creation mechanism focuses on acquiring validated data sources such as bank loans to ensure high-quality information integration; further comprising a presentation layer providing an overview effect for individuals joining the platform, emphasizing network effects and data discovery tools; wherein the data priming system includes collaborative learning initiatives, facilitating sharing of experiences and tools for continual platform improvement; wherein the AI-based prediction engine utilizes natural language processing algorithms for converting diverse data into human-readable formats for enhanced user comprehension; wherein the user-engagement platform caters to at least 25,000 companies within the space industry and includes classifications for diverse avatars within the ecosystem.
Referring now to
Referring to
Balancing Purpose and Economic Viability—the discourse emphasizes a commitment to purpose-driven initiatives aligned with Project Moon Hut's directive. This foundational directive prioritizes societal and environmental betterment for the Earth's inhabitants amidst the evolving challenges posed by the 6 MegaChallenges. The fundamental ethos guiding Content Platform underscores a preference for purpose over profit, aligning with the commitment to societal welfare.
Comparative Analysis with Established Organizations—to elucidate the potential revenue models, a comparative analysis is drawn between Content Platform's objectives and established entities like Greenpeace and USAA. These entities demonstrate different approaches to generating revenue. Greenpeace, a non-profit international NGO, relies on donation-based funding, engaging supporters while emphasizing a commitment to a cause. In contrast, USAA, a non-profit serving US military personnel, generates revenue through services like insurance and banking, catering to a specific demographic segment.
Revenue Models Inspired by Diverse Entities—content Platform's revenue strategies draw inspiration from various successful business models such as LinkedIn, Crunchbase, Palantir, Alibaba, Yelp, Reddit, Facebook, YouTube, and CB Insights. These diverse revenue streams encompass subscription-based models, data provisioning, marketplaces, community engagement, and leveraging affiliate programs. These strategies aim to generate operational capital while upholding the broader objectives of Project Moon Hut's MEARTH initiative.
Description of Content Platform's Revenue Streams—content Platform, conceived as a purpose-driven amalgamation of LinkedIn, Crunchbase, Palantir, Alibaba, Yelp, Reddit, Facebook, YouTube, and CB Insights, operates as a multifaceted platform offering a spectrum of services. This includes data provision, market intelligence, analytics, community engagement, advanced visualization, alliance development, and governance coordination. The platform's revenue structure mirrors a combination of fee-based services, premium memberships, advisory support, specialty priced services, inclusive of all transactional types from asset backed, cash, credit cards, donor advised funds, and crypto-based transactions.
Global Impact and Inclusivity—the revenue models are structured to ensure global scalability and inclusivity, aiming to serve diverse regions, startups, and institutions across the world. Consideration for equal opportunities and access is paramount, emphasizing a fair playing field for all stakeholders, irrespective of their geographical or economic standing.
Conclusion: Purpose-Driven Revenue Strategy-Content Platform, while distinct from entities like Greenpeace and USAA, aligns its revenue strategies with a purpose-driven paradigm. The aim remains to generate operational capital for Project Moon Hut's foundation while fostering innovations, educational initiatives, and global collaborations, echoing MEARTH's core objectives.
In one embodiment of the invention, there is provided a content platform system facilitating purpose-driven collaboration, comprising: a. A multi-functional online platform facilitating data provision, analytics, market intelligence, and community engagement; b. An alliance development and governance coordination mechanism fostering collaborations between entities; c. Revenue-generation mechanisms encompassing fee-based services, premium memberships, advisory support, specialty priced services, inclusive of all transactional types from asset backed, cash, credit cards, donor advised funds, and crypto-based transactions; and d. A global inclusivity approach ensuring fair access to diverse regions, startups, and institutions worldwide.
In other aspects of the invention, there is provided for a system with various other improvements such as: wherein the multi-functional online platform incorporates features akin to LinkedIn, Crunchbase, Palantir, Alibaba, Yelp, Reddit, Facebook, YouTube, and CB Insights; wherein revenue generation involves subscription-based models, data provisioning, market intelligence, and advanced visualization services; further comprising segment-specific pricing strategies catering to startups and established institutions, ensuring equal opportunities for diverse stakeholders; wherein revenue streams include alliance development and governance coordination services facilitating collaborative initiatives; incorporating a scalable infrastructure ensuring global outreach and inclusivity across diverse regions and demographic segments; wherein revenue is generated through affiliate programs, providing a means for operational capital generation for the associated foundation; featuring a purpose-driven ethos prioritizing societal welfare and addressing global challenges while generating operational capital; wherein revenue structures are aligned with Project Moon Hut's MEARTH initiative, emphasizing purpose over profit in addressing societal and environmental concerns; and/or further comprising data atomization and privacy preservation features ensuring secure handling and utilization of various data types, including public and private data sources.
Referring now to
Central to PMH's vision is the deliberate balance between economic feasibility and its foundational goal: facilitating sustainable human habitation on the moon while catalyzing advancements beneficial for life on Earth. The articulated intention emphasizes the need to harmonize financial sustainability with the core purpose. This balanced approach is essential; while generating revenue is crucial for sustained operations, it must not compromise the overarching mission of progress.
The disclosure refers to notable nonprofit entities like Greenpeace and USAA, illustrating their economic success without being publicly traded. This sets a precedent for PMH's business model, emphasizing the generation of revenue through strategic alliances, services, and memberships without solely relying on stock offerings or donations.
The disclosed model involves PMH's ownership stake in the Content Platform, managed via a holding company structure. This structure aims to bolster PMH's financial sustainability while enabling focused contributions to its primary objectives. The intention is not to constantly seek funds but to ensure a sustainable financial foundation through increased entity valuation.
The disclosure further outlines the foundation's role in education and awareness. It draws parallels with institutions like Stanford University and Stanford Research Institute, showcasing how their initiatives have added value to their communities and institutions. PMH aims to replicate such contributions through its diverse service offerings: Content Platform, Base Industries Corporation, immersive technologies (AR, VR, MR, haptics, 3D, 4D, NFT, digital twins, books, toys, movies, gaming, models, art, photography, live shows, events, photography, experiential activities), and other planned services. Each service can potentially generate revenue, aligning with PMH's purpose-driven approach.
The specification elaborates on potential revenue streams for the Content Platform, drawing insights from various successful global entities like LinkedIn, Yelp, and YouTube. Subscription models, marketplace capabilities, and advanced analytics are envisioned as potential revenue-generating mechanisms. The focus is on offering value-added services while ensuring accessibility to a global audience without disadvantaging smaller businesses.
Various monetization strategies are outlined, including premium memberships, enterprise services, and tokenization, fostering a balanced ecosystem without compromising PMH's overarching objectives. Additionally, PMH plans to host technology challenges and introduce services like Space Lancers and Space Flow to diversify revenue streams.
The specification emphasizes leveraging data plays, analytics, and marketplace capabilities to not only drive revenue but also contribute meaningfully to the ecosystem. The vision is to create a synergistic environment where profitability aligns with the advancement of PMH's mission.
Project Moon Hut aims to revolutionize sustainable living on the Moon through an ambitious four-phase initiative. This visionary project seeks to establish a thriving Earth-and-space based ecosystem that not only enhances life on Earth but also stimulates a flourishing deep space economy and ecosystem. At its core lies the development of the Content AI platform, an unprecedented centralized network hub designed to interconnect all stakeholders within the space industry. This platform is envisioned as a catalyst for advancing space exploration, fostering innovation, and uniting global talents across public and private sectors.
The timing for the Content AI platform couldn't be more opportune. It stands poised to galvanize innovation, act as a fertile ground for space exploration, science, research, and living on a celestial body other than Earth, and create an inclusive space where the best minds can collaborate, pooling resources and expertise to deliver substantial global value.\
This proposal serves as an introduction to the Content AI platform, outlining its objectives and benefits while delving into the technological intricacies that promise to reshape the space industry's ecosystem. By addressing the existing gaps in the current framework, this initiative aims to expand the space ecosystem, addressing fundamental needs for its evolution.
The space industry faces critical challenges due to its fragmented structure, hindering its potential for innovative, consistent, and rapid progress. The lack of connectivity among its diverse stakeholders is a significant bottleneck. This ecosystem, comprising disjointed entities and individuals, struggles with coordination, leading to missed opportunities and underutilization of resources. The proposed Content AI platform seeks to bridge these gaps by enabling seamless connectivity, fostering collaboration, and propelling the industry forward.
The challenges within the space industry are multifaceted: sourcing resources is arduous, information flow is limited, connectivity among industry members is lacking, and the ecosystem lacks transparency. The proposed solution aims to address these issues by providing a centralized hub where industry participants can easily connect, share information, access resources, and collaborate on projects.
Moreover, the platform's potential extends to showcasing the accomplishments and innovations of various global entities, from educational initiatives in Israel to groundbreaking technology development in India. By providing a cohesive space for collaboration and knowledge sharing, the Content AI platform promises to uplift both established and emerging players within the space industry.
In recognizing the pivotal role of public understanding and support for space exploration, the platform also seeks to bridge the gap between the industry and the general public. Educators, media, and the wider public will gain access to comprehensive knowledge about space exploration's benefits and potential solutions for pressing environmental challenges.
The convergence of these six components-platforms, big data, distributed networks, rating and gaming mechanisms, learning management systems, and social collaboration-propels this initiative forward. Through the collaborative efforts of Project Moon Hut's team, the Content AI platform is envisioned as an interactive, accessible online instrument. It aims to unite a diverse array of users, fostering innovation, identifying opportunities, and tracking space-related activities.
Ultimately, the Project Moon Hut Content AI platform aspires to create a cohesive ecosystem that transcends geographical boundaries, fostering unprecedented collaboration and innovation within the space industry. Project Moon Hut unveils an innovative, interconnected platform comprising three pivotal and interconnected service offerings: Alliance Development, Community Engagement, and Governance Coordination. These offerings represent a groundbreaking fusion, each serving as a distinct yet integrated facet of a unified system, connected through a central database.
Alliance Development: This component embodies a fusion of LinkedIn's data-driven approach, Alibaba's product offerings, Crunchbase's financial and ecosystem insights, and Palantir's network analysis capabilities. The intent is to empower executives, both within and outside the space industry, with enhanced decision-making abilities, creating new opportunities, and exponentially improving strategic decisions.
Community Engagement: this is designed to intertwine Absorb Learning Management Systems with YouTube's video delivery system and Academia's research aggregation. This segment aims to evolve the future space-based activities by fostering collective innovation, leveraging shared knowledge, and building upon the progress of others, facilitating the exchange of advanced thinking within the ecosystem.
Governance Coordination: This offering amalgamates Reddit's news streams, Facebook's conversational dynamics, and Yelp's rating systems, envisioning a singular hub for all space-related discourse. It aims to guide humanity toward understanding new governance constructs while providing a centralized location for space-related discussions.
The invention's value lies not solely in its individual components but in the collective hyper-concept and the invaluable distributed information it provides. For instance, this service enhances the work of individuals and groups laboring independently within the present space ecosystem, lacking a connected platform.
While a project of this magnitude might have taken years to build less than a decade ago, today's service platforms and applications offer similar services as plug-and-play systems. This transformative invention capitalizes on readily available technologies like Drupal or Amazon's AWS, streamlining the process of consolidating complex functionalities.
Project Moon Hut doesn't build rockets, launch satellites, or establish schools. Instead, it serves as a facilitator, empowering stakeholders, capital markets, innovative products, and exceptional leadership to leverage the platform for advancing initiatives faster and with superior outcomes. In the spirit of an old BASF ad campaign: ‘We don't make the products you use, we make them better.’
The Project Moon Hut Content AI platform aims to integrate private and public sectors globally, fostering space-generated innovations, opportunities, and their consequential societal and commercial benefits. The platform strives to eliminate structural inadequacies, catalyzing the growth of a more robust space industry capable of delivering incalculable global value.
The platform's structure provides an array of benefits, leveraging computational social science, network analysis, and organizational optimization to offer insights into the complex human and commercial space ecosystem. Users gain access to hidden values, participate in collective innovation, identify societal needs, improve governance, and rapidly advance space-related entities and ideas.
This initiative is poised to accelerate the ecosystem's development, believing that sooner the ecosystem becomes a hub for participants and resources, the earlier the global society benefits from space innovations. It promises to unveil unforeseen opportunities and aid users in understanding market trends based on readily available data.
The platform's growth, following Metcalfe's Law, increases congruently with the network's membership. It empowers users to understand market trends, secure funding, find partners and customers, and explore new research, catalyzing transformative effects within the commercial space sector.
By addressing the space industry's disjointed structure, the platform paves the way for better outcomes. It reduces costs, accelerates time frames, maximizes potential, gathers talent, secures funding, and fosters spinoff projects.
From administrative efficiencies within NASA to aiding manufacturers in identifying markets and suppliers, and from harnessing the ideas generated from events to facilitating government groups in policy development, this invention promises far-reaching positive impacts across multiple spheres.
Objectives: At the core of Project Moon Hut's purpose is the mission to establish sustainable life on the Moon by rapidly developing an Earth and space-based ecosystem. The Content AI platform is designed to serve as a pivotal tool, connecting stakeholders within the space industry to foster space exploration, generate opportunities, and drive innovations beneficial to Earth's inhabitants.
The key objectives of Project Moon Hut's Content AI platform encompass a range of ambitions, including:
This section discusses the methods by which Project Moon Hut's Content AI platform achieves its objectives through Design, Technical Details, and Technical Content.
Design—The CORE: Project Moon Hut's Content AI Platform
Project Moon Hut will deliver one master platform and a globally coordinated effort to accelerate an Earth and space-based ecosystem using AI, computational social science, network analysis, modeling and graphical representation, and more.
Think of an amalgamation of a space-based data system:
At the center of the system is the development of the world's largest database for groups and individuals engaged in the space ecosystem and for space enthusiasts alike. By combining features from different platforms like those outlined below, we create one global tool: (It's noted that while the company names are provided, it's not that these are the only providers. For ease of global brand recognition names could be substituted. For example, SLACK, Monday.com, or Asana each over variations of project management tools, just as Facebook has social interaction technology, we could have used less widely known names and therefore made the conceptual architecture more challenging to follow.
LinkedIn style—The function of the software will create the profiles necessary to construct a primary database for a view of the ecosystem. A typical user will sign up, not unlike a LinkedIn, or a person using scraping technology will be invited to participate. A user will fill out the typical questions, however, these questions will be slightly slanted towards the space industry using Project Moon Hut tools. The Project Moon Hut Classification system will focus the individual on their particular interests while inadvertently creating social groups, venture opportunities, speed to identification of prospective employees and more. This platform focuses on recruitment and the platform will focus on delivering outcomes for advancing the earth and space based ecosystem
Crunchbase—This is the Silicon Valley platform delivering users' capabilities to view into the startup ecosystem. If one wanted to know who has funded a company, the name of an investor, their round, or a listing of an organization's founders, they would pull up Crunchbase. There is no such resource within LinkedIn to drill down within an organization, so this added tool provides additional dimensions to opportunities by visualizing a company's full structure to identify more potential opportunities. Project Moon Hut will also subscribe to Crunchbase's database so that immediately the data becomes layered. We're not discounting the cumulative value of also seeing who has merged, sold, or closed. We will show graphical timelines of industry, individual, ecosystems, economies, countries, blocks of groups of categories so that viewers can understand cycles, trends and patterns within the platform.
Alibaba—One might consider a manufacturer and distributor product platform. With the inclusion of a product/servicing offering, searches can connect users and what they sell and with the proper data accelerant the finding of products based upon the Project Moon Hut Taxonomy and Classification System. Additionally, like any online system there will be rating capabilities of buyers to know which organizations perform and which products and services do the job anticipated. The platform will give clarity into what products and services organizations can offer to make better decisions as to innovation, alliances, collaboration, purchases, and any other means of working together.
Palantir—The company's primary offering is through big data to identify opportunities within networks. Most of what is done appears to be automated and yet thousands of individuals are collaborating to produce the data. The platform would allow users searching this data set to view extremely visual with charts, graphics, nodes users, achievements, forecasts, financials, investors, financing, clients, vendors.
Absorb—Today's educators are more and more relying on learning management systems to harness and distribute information as well as to aggregate content for sharing across networks. Project Moon Hut's international collective value will be to harness the contributions of organizations with hundreds of courses and to empower all types of individuals to draw from their vast knowledge. In this way, course content, videos, references, grading, student work, and planners (for course work and events) can result in more effective learning and higher degrees of success.
YELP—At present, consumers rely on social rating systems to enable some type of transparency that enables them to distinguish between the values offered by various sorts of organizations. Yelp, a restaurant rating system, is one such system. Within the platform, systems of this fashion will enable rating capabilities of papers, courses, programs, products, services, individuals, organizations, content, projects, to better be able to determine the viability of their offerings.
Reddit—Just as this site combines social news aggregation, web content rating, and discussion, PMH would deliver one site for content ratings tied to individual contribution on both the Governance Coordination and the Learning Management Platform.
Facebook—Project Moon Hut would incorporate features similar to this social networking tool that would help to deliver conversations between organizations, groups, and individuals within the three pillars of the platform: Community Engagement, Alliance Development, and Governance Coordination. Also allowing for shared content, collaboration, event details, post event details, group development, organizational promotion, commentary, announcements.
YouTube/Instagram—Project Moon Hut sees any digital platform today as a must for providing means by which participants can communicate visually and auditorily while collating content in a structured manner for future space innovation. Short and long form video and audio will be integrated into the platform along with sharing, monetization, collaboration, identification with the PMH Classification system, ratings, likes, comments.
CB Insights—This SaaS tool is for those engaged in private equity, venture capital, corporate development, investment banking, corporate innovation & strategy, angel investment and consulting through data analytics.
Project Moon Hut would ensure that the Content AI platform is user friendly for this group, as well.
The cumulative effect helps to create transparency within the primary Moon/Earth Ecosystem database. It combines public, private, and Project Moon Hut databases with analytics and opportunity management systems to facilitate innovation and significantly drive down the cost per kg/dollar spent, which translates to ease of access to space, while preparing the global community for more than just flight but living in space.
The Content AI platform is an algorithmic tool, layering data that has been generated, collected, and sorted into various forms of representation. Once a data source is secured, this source scrubs the web for additional information on the source to expand the data set and weigh the value of the data to create networks.
The platform can generate most of the output outlined above. However, the funding is needed to create, acquire, and aggregate primary data from reliable sources. The output is in the form of:
While networks views are valuable, how they change over time is also extremely powerful in decision making. This view shows how players started in the industry years ago, how over time there were more participants, and how some participants have closed. In this tool, we can see specific areas of the space ecosystem as sub ecosystems expand and contract. We also see where they might need funding, and we can even anticipate the winner from the losers.
The technology behind the system is only a small fraction of the project given that we have already build the Content engine which is over $2M worth of programming. What the research will represent is the access and visualization of what the ecosystem looks like in a multidimensional perspective. Project Moon Hut would greatly benefit from access to NASA data on the various projects, technologies and vendors in its network. We have already been working on data collection from The National Space Society, Aerospace States Association, The Space Foundation, The Space Plan, and others.
The purpose of the investigation is to find means by which to accelerate the space economy through the use of AI, machine learning, and network analysis. After extensive searching, we have been unable to identify a single source where such data can be found.
Objectives are to deliver a clearer understanding of the ecosystem surrounding the space ecosystem. This understanding answers questions such as who the players are, where are their unique opportunities, where would funding or help generate the fastest returns, and how do we continue to monitor the changes within the ecosystem.
Example of use: Currently public private partnerships in Washington and through the various field centers around the country are generated through a simple database or a rolodex of connections. There is no current mapping of the ecosystem to facilitate faster and stronger alliances, nor is there a means by which to track the evolution of the ecosystem. With the information provided through this project's research, the team at the Portal could access a multidimensional view of the ecosystem, find hidden opportunities not seen or capable of being seen without AI, and then facilitate agreements. Having viewed first-hand how the work is currently being conducted in a 1990-2000 fashion, the new research would bring the space industry into the 21st century utilizing big data and network analysis. Any entity would be able to easily access the data and to query within the space ecosystem. This is a much different position than is obtained through a search on Google which is based upon page-rank and that does not necessarily provide one to see funding, organizational alliances, traction within the industry, and so on. Picture Google meets LinkedIn, meets Organizational Virtual Reality of Connectivity meets Banking.
Our work within the industry shows limited tooling for commercial enterprises to identify potential partners, vendors, funding, etc., based upon services and products, boards of directors, executives, and employees for leveraging connections, geographic ties, association participation, and so on. The databases are distributed in solos of owners including public and private organizations as well as include extremely outdated groups. In our collaboration we've also found surprises such as The SpaceFund team does not use AI, ML or even algorithms to update their offering, the team manually updates everything, consists of no network software analysis, is not shared, is static, and often out of date. In essence, space is dynamic and organic and the industries it supports us data that is static and siloed.
The Methods for Obtaining, Validating, and Reporting the Information Project Moon Hut's approach to database collection:
Identify key associations, organizations, and entities that are already engaged in space activity. In essence, we ask them to participate in the first ever high-level Content mapping of the space ecosystem, a never attempted feat.
Once input, this data will be cross referenced, integrated, linked, data mined, coupled with accessible APIs, and connected to one another to find visible relationships and clusters of opportunities. In totality, we would make the invisible visible. Think of this as data scrubbing for accuracy.
All primary data collected and used within the Content engine will be coming from established entities within and outside the industry. The data, while often not detailed, will be aggregated and checked across industry information in the first scrub to secure and validate the data. The value in this form of AI research is that the machine learning part of the software will do this all in real time across various data sets. Databases are full of useless and outdated data, and in the process of connecting networks, we will clean up the data so that the research will outline an exact status within the industry.
Given that the Content engine is also time based, the data can also show activity such as who is moving between organizations, which funders are funding successful start-ups, and where are ecosystems evolving over time. None of this exists today. The research will not be static.
Once data is verified, our Content engine will scrub across the industry to expand the dataset. It will seek alliances, funding, networks, products, and over 30 other variables to confirm the data and identify industries that are either rapidly growing or declining.
Concurrent Technology Development with DB Collection
The Content engine will be altered to fit specifically the Space Economy's needs in application through adaptations to the user interface and through AI programming to identify trends within the economy not identifiable without advanced computational power.
Google does not search the internet every time someone engages a search as the computational power would be astronomical. Instead, Google does a sort of cache the system so that when a search is generated, information is found from pre-cached data. Our team will do the same by setting up pre-established sorts that will enable faster searching. Searches may be generated with detailed specs for: manufacturers, VCs in funding, space start-ups, CEOs, etc. Searches will be through Large Learning Models, Small Learning Modules, machine learning platforms, Natural language processing systems, neural networks, reinforced learning systems, computer vision systems, relational database management systems, NoSQL databases, data warehouse solutions, spreadsheet software, business intelligence software, data streaming platforms.
A new web interface specific to capturing Space Primary data will be created. The more “crowd” participation, the greater the value of the network, i.e. Metcalfe's Law. (Wikipedia: Network effects were popularized by Robert Metcalfe, stated as Metcalfe's law. Metcalfe was one of the co-inventors of Ethernet and a co-founder of the company 3Com. In selling the product, Metcalfe argued that customers needed Ethernet cards to grow above a certain critical mass if they were to reap the benefits of their network.)
In the long term, this ecosystem view could be expanded with additional funding to have the capabilities of connecting LinkedIn profiles into a type of “Space Facebook”. It is possible that we may reach a tipping point with enough data to cause this to happen organically.
The product essentially addresses three core concepts:
Ecosystems are shaped by philosophy of cooperation; the elements do more than coexist in passive relationships, they constantly engage in synergetic activity.
Relationships between the elements of a system are not well understood, resulting in poor commercial performance. It begins with a prime mover that provides the initial idea, which is subsequently reproduced and altered.
In delivering on these key concepts, our technology framework is designed to be open and flexible. We use a number of API's (application programming interfaces) to source data and computational services that enable our own inference engine to generate data based on our business ecosystem taxonomy, see
Our multi-layered architecture allows for the use of various technologies in our product. We have an open API container approach that connects to our artificial intelligence engine. The AI engine can be extended by allowing for algorithms to be added and removed. This gives us the flexibility to support; naive bayes inference, backpropagation, gradient descent, support vector machines, and other generally known approaches. Our own algorithm uses a spatial model to calculate inference as density in networks change over time.
The visualization components can be extended by exporting resulting data for off-line use, or applying other well-known analytical tools such as ORA, Rapid Miner, or Pentaho.
Our taxonomy allows for both structural elements and spatial elements to exist in the same data space. This means that, for example, we store the changes to people in the ecosystem by recording current teams and past teams as they evolve over time. (See
Our engine generates relationships between elements of the ecosystem and calculate probabilities of movements between items in the taxonomy. (
This section discusses the relationship between Project Moon Hut's Content AI platform and Project Moon Hut's purpose and phases of development.
The Content AI platform will collect primary data necessary to feed all three pillars-Community Engagement, Alliance Development, and Government Coordination-index individual and organizational capabilities and interests, expand knowledge of organizational space related products and services, dimensionalize expanse of size and scale of industry, expose networks and gaps, and more.
In short, the aggregated primary data will be valuable from an international perspective in that the single source content would give visibility to existing space related decision makers in an entire industry worth over $330B in 2017 and rapidly expanding.
The Content AI platform will combine data generation and content distribution, and it will sort data into various forms of representation outward to several audiences. Data will be secured in various forms i.e., content contribution through seven different channels of input. The data will then be mined and tagged by users and through weighted values to redistribute, restructure, and reorganize content in a manner accessible to profile users.
At the present time, existing plug and play platforms enable uploads and the structuring capabilities for video, audio, documents, and photos along with a Learning Management System classroom to identify, sort, query, and structure content. The funding is needed to pipe data between the three pillars of the platform that are tied to the original primary data and to generate a UI. The output is in the form of:
Contrary to current space related content from global sources, the content will not be directed towards only STEM content. The entire innovation stream from any curriculum will be to address topic areas such as psychology, sociology, engineering, design, architecture, art, music, biology, and all educational programs delivered at any university around the world. It will support groups of people involved in various types of education such as home schooling, K-12 institutions, MOOCS, online education venues, adult education sources, private and public institutions, universities, broader areas of personal engagement, corporations, not-for-profits, government institutions, museums, and science and educational outreach programs on local and country-wide educational systems.
The power platform will allow users from different groups to upload or download content based upon their affiliation. Using the PMH Classification system and the new taxonomy, the platform will also provide individuals with the ability to connect an idea they have for space with the potential for addressing a challenge on Earth which will create cross groups and their ensuing opportunities.
Case scenario: An event planner hosts a space related conference with 500 student and 200 adult participants. Each participant must create a Moon/Earth space related project. In the current model where no platform exists, the content gets discarded after the event. Now imagine the end outcomes of this same conference when planners and participants can engage the PMH approach: participants become users who register themselves and their projects within the Content platform. They upload information onto the platform, including notes, photos, audios, and videos according to the Project Moon Hut Classification System. As a result, user groups begin to form, participants are recognized with awards, and analysis occurs. Data is now indexed and categorized so that people within the network can use, read, and comment on the content, thus preserving the conference's projects, distributing its value, and enabling social and aggregated innovation. Further, anyone within the user system can distribute and view the content in similar fashion to YouTube, SlideShare, and Academia.edu, which expands a Moon/Earth ecosystem and its value to scientists, professionals, thinkers, and enthusiasts both in the present and for future generations,
The platform will deliver additional value to the space industry from Project Moon Hut's space-related taxonomy. The taxonomy gives organization and clarity, thus enhancing communication among individuals, groups, and organizations who want to seek each other out for the purposes of addressing gaps within the industry, expanding funding opportunities, advancing university enrolment, and improving media capabilities.
Governance Coordination is the act of coordinating discussion, content, policy, rights, and anything to do with how globally humankind sees the development of the space industry and all related topics. This will involve discussion, rating systems, political policy aggregation, capabilities to add digital content, forums, searching mechanisms, historical records, etc.
The purpose is to remove the friction from the system so that globally the four phases of Project Moon Hut can be realized.
The crux of the software is the previously accumulated complex data that can already be pulled from the primary database
Project Moon Hut's organizational structure is generated round the activities necessary to create a sustainable service offering as derived from the Content AI platform.
Project Moon Hut's organizational structure addresses five ecosystems that are managed by four team groups as described in this section.
The Five Ecosystems of Project Moon Hut are:
Project Moon Hut's team structure ensures that the Content AI platform is properly serving all individuals and groups thus making possible the advancement of progress of the five ecosystems. The initial phase of Project Moon Hut's Team will require very few individual whereby the primary function will be to create the platform and to being the marketing efforts.
In the beginning of the project the team will consist of:
1. Initial Team Functionality once the software is in place the team functions will evolve
As products and services are added within Project Moon Hut's offering the team will evolve to support collectively and individually the three service deliverables. For example: Once the Alliance Development functionality is in play the following individual would be added.
1. Alliance Development Team
The depth and breadth of the team are extremely important which translates to, we need individuals around the world in all three categories working for us: space industry, enthusiast, and Earth focused. Additionally, due to the interconnectivity of the space industries supply chain and momentum, the US will not maintain its lead if it is not inclusive in the pursuit of collaboration.
The team will consist originally of just a select group of people with a small set of directives. 1) build the platform 2) establish the infrastructure for Project Moon Hut 3) develop and initiate the marketing traction needed to fulfill the directives of Project Moon Hut Foundation. As development continues the team must continue to drive innovation within the platform while then attracting, securing and maintaining users. To do so would require and on the ground team to take a play from the startup ecosystems.
To illustrate the functions of the teams, five groups and their roles and responsibilities are described below:
Core Facilitators Team: The role of this group is to increase capabilities while decreasing time and in turn, accelerate the Earth space ecosystem and in space-to-space based economy. The Core Facilitators Team will be involved in planning, new product and service development, network and data science, forecasting, and IN2 Innovation (as in establishing a tool similar to the function of Skunkworks).
The team is looking to accelerate the four phases of Project Moon Hut through assisting the expansion of the five ecosystems, impacting how all species live on Earth and how humans live sustainably on the moon.
Stone Soup Messaging Team: This group performs a combination of 1) marketing, PR, social, design, copywriting, and tracking activities for the Project Moon Hut Foundation, and 2) same such activities for each of the three pillar service areas: Alliance Development, Community Engagement, and Governance Coordination.
Driving Operations Team: This is the administrative team of Project Moon Hut that is responsible for admin, talent acquisition, financial roles and responsibilities, IT, grant writing, fundraising, and tracking.
Alliance Development Team: This team is focused on activities and relationships that ensure that all parties and their products and services ally successfully to generate productive, beneficial, and ethical outcomes related to moving Project Moon Hut and its beneficial value forward. Specific individuals within this group would assist in building the platform, managing the IT, messaging particular service areas, tracking, modeling, and establishing new nomenclature. Using the AI Content platform, this group would bring together individuals and groups from the following: banking, government, space (both existing members of the industry and future parties), new to the industry players, associations, agencies, community groups, media, and public-private projects.
Community Engagement Team: This team is tasked with ensuring that Project Moon Hut and its deliverable value includes creating awareness, innovation, education, and generating paradigm shifts, that result in ideation and eventually new organizations that fuel overarching directives are generated through an online educational, research, and innovation platform all tied to our primary database. The team will assist in designing the platform, managing the IT, messaging, and tracking users, engaging the professors, K-12 teachers, research, organizational directors, event planners, students, administrators, families, adult content deliverers, social organization leaders, media personnel, to expand the ecosystem and to compliment by adding tools for the transfer of the Moon/Earth globally. The services of this group will support and enhance efforts made by the following groups:
Governance Coordination Team: The contribution of this team is the opening up of the space ecosystem when it comes to the global narrative that outlines the activities, contributions, progress, and roles of governance individuals and groups, thus enabling the moving forward of policy and decisions to accelerate the space-based ecosystem. The team will be responsible for assisting in designing the platform while working with and coordinating IT, messaging, tracking, modeling, and establishing new nomenclature.
The current application claims priority to U.S. Provisional Application No. 63/480,579 filed Jan. 19, 2023, and which is incorporated in its entirety by reference.
| Number | Date | Country | |
|---|---|---|---|
| 63480579 | Jan 2023 | US |
