Collaborative Research: Predictive Intelligence for Pandemic Prevention, Theme 4: Social and Behavioral Obstacles and Supports

Information

  • NSF Award
  • 2119117
Owner
  • Award Id
    2119117
  • Award Effective Date
    2/15/2021 - 3 years ago
  • Award Expiration Date
    1/31/2022 - 2 years ago
  • Award Amount
    $ 29,724.00
  • Award Instrument
    Standard Grant

Collaborative Research: Predictive Intelligence for Pandemic Prevention, Theme 4: Social and Behavioral Obstacles and Supports

Although pandemics have threatened human civilization since ancient times, how to predict and prevent them remains a pressing challenge, calling for innovative insights and practices. Pandemics emerge through incidental ‘perfect storms’: molecular changes in pathogens, gradual trends in climate, subtle shifts in ecological interactions among potential hosts, and individual behavioral decisions by people, all colluding to make up the difference between an interesting but rare new variant of a known disease and an existential worldwide crisis. Being able to predict the emergence of pandemic threats, therefore, requires a fully integrated, multidisciplinary approach, able to consider the complexity of these realms across scales of interaction to predict and, ideally, prevent. This workshop is one of four bringing experts from scholarly communities in the social and behavioral sciences, biology, engineering, and computer science together to discuss how to integrate the approaches taken by each community into a more effective, unified science of pandemic prediction. The focus of this workshop is on developing understanding of how human attitudes, social behavior, and the drivers underlying both shape patterns of infectious-disease transmission and efforts at control and eradication. This fundamental understanding in turn will facilitate pandemic prevention and control decisions that leave us better prepared when confronted with future pandemic threats.<br/><br/>The workshop is structured to focus on four topical areas of crucial importance, dealing with cultural transmission, information and communication, equity, and sustainability. The white paper that comes from this workshop will provide important guidance for incorporating insights into the social and behavioral sciences into predictive intelligence and pandemic prevention. It will inform future research investments, institutional capacity-building, and other policy priorities aimed at keeping the US and the world safe from inevitable future pandemics.<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
    Joseph Whitmeyerjwhitmey@nsf.gov7032927808
  • Min Amd Letter Date
    2/8/2021 - 3 years ago
  • Max Amd Letter Date
    5/21/2021 - 3 years ago
  • ARRA Amount

Institutions

  • Name
    Saint Louis University
  • City
    St Louis
  • State
    MO
  • Country
    United States
  • Address
    221 N. Grand Blvd.
  • Postal Code
    631032006
  • Phone Number
    3149773925

Investigators

  • First Name
    Juliet
  • Last Name
    Iwelunmor
  • Email Address
    juliet.iwelunmor@slu.edu
  • Start Date
    2/8/2021 12:00:00 AM

Program Element

  • Text
    PIPP-Pandemic Prevention

Program Reference

  • Text
    Artificial Intelligence (AI)
  • Text
    COVID-19 Research
  • Text
    CONFERENCE AND WORKSHOPS
  • Code
    7556
  • Text
    GRADUATE INVOLVEMENT
  • Code
    9179