Collaborative Research: RUI: HNDS-I: Data Resources and Analytic Tools to Understand Population Scale Human Mobility for Applications in SBE Research

Information

  • NSF Award
  • 2024233
Owner
  • Award Id
    2024233
  • Award Effective Date
    9/1/2020 - 4 years ago
  • Award Expiration Date
    8/31/2024 - 4 months ago
  • Award Amount
    $ 269,143.00
  • Award Instrument
    Standard Grant

Collaborative Research: RUI: HNDS-I: Data Resources and Analytic Tools to Understand Population Scale Human Mobility for Applications in SBE Research

This project develops privacy-centric methods along with data and software resources for understanding population-scale human mobility and its relationship with social, behavioral, and economic (SBE) dynamics through the creation of a large-scale database and tools. Human mobility, which includes knowing where people are, have been, and go to, is an essential feature for understanding SBE issues emerging from transitions through physical space. By better understanding the movement behavior of people, researchers can explore important areas of inquiry including economic patterns, segregation, inter-group dynamics, as well as a range of other SBE areas of interest. The project provides new opportunities for advancing such research. It will also provide educational and research opportunities for graduate and undergraduate students.<br/> <br/>This project develops community-level mobility models based on the aggregate movement of groups of cell devices through cell tower coverage areas of a national network. The project creates a privacy-centric alternative to mapping human spatial mobility that does not rely on device-level geolocation data. Specifically, the project will provide (1) a data repository containing human mobility network captured over various temporal intervals; (2) open-source software tools and user-friendly web applications for retrieving, processing, visualizing, and preparing these data for analyses in standard software packages; (3) interactive tutorials and instructional materials suitable for self-guided learning to familiarize users with the use of provided data, tools, and software packages; and (4) case use examples and illustrative studies to further our understanding of the relationship between the social world and human movement. Using the tools this project provides, researchers from a wide range of disciplines can answer important questions broadly concerned with the projection of social reality onto dynamic physical space.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Tyler Kendalltkendall@nsf.gov7032922434
  • Min Amd Letter Date
    7/29/2020 - 4 years ago
  • Max Amd Letter Date
    7/29/2020 - 4 years ago
  • ARRA Amount

Institutions

  • Name
    Bucknell University
  • City
    LEWISBURG
  • State
    PA
  • Country
    United States
  • Address
    One Dent Drive
  • Postal Code
    178372111
  • Phone Number
    5705773510

Investigators

  • First Name
    Owais
  • Last Name
    Gilani
  • Email Address
    owais.gilani@bucknell.edu
  • Start Date
    7/29/2020 12:00:00 AM
  • First Name
    Paul
  • Last Name
    Muniz
  • Email Address
    pm053@bucknell.edu
  • Start Date
    7/29/2020 12:00:00 AM

Program Element

  • Text
    Human Networks & Data Science

Program Reference

  • Text
    RES IN UNDERGRAD INST-RESEARCH
  • Code
    9229
  • Text
    REU SUPP-Res Exp for Ugrd Supp
  • Code
    9251