Pipp phase i: evaluating the effectiveness of messaging and modeling during pandemics (pandeval)
Active Project Grant Awarded Last action
- Award ID
- 2200256
- Recipient
-
University Of Maryland, College Park UEI NPU8ULVAAS23 Part of University System Of Maryland
- Awarding agency
-
Division of Behavioral and Cognitive Sciences
National Science Foundation
- Obligated
- $1,999,074
Award facts
- Assistance listing
- 47.075 Social, Behavioral, and Economic Sciences
- Completion date 94% complete
- Originally
- Funding
-
- $999,537.00 Federal
- $999,537.00 Non-federal
- Funding agency
- National Science Foundation
- Place of performance
- College Park, MD 20742, USA
Award details come from USAspending.gov.
Description
- Abstract
- An effective response to fight the spread of a pandemic requires a clear understanding of the complex interactions between biological, environmental and human networks. The COVID19 pandemic revealed both human and systemic failures along this chain. A key takeaway was the need for timely, relevant and actionable information to support effective public messaging and policy making that can impact in-real-life (IRL) outcomes. The COVID19 pandemic also revealed the need for messaging and policy making at a local scale, when national- or state-level approaches might not appropriately address the needs at community scale. Frontline public health officials often had little insight into the individuals that they wished to serve. Decision makers who managed cities or school systems often relied on epidemiological models that did not account for the impact of human beliefs and in-real-life behaviors - e.g., the willingness to wear a mask - on disease transmission. The pandeval project will address these challenges, so as to ultimately increase the trust and confidence in our public health infrastructure. If successful, public health officials will gain insight into the success of (past) messaging campaigns so that they can deliver the right message at the right time. In addition, decision makers will be able to use the outcomes of the epidemiological models, customized to population segments, while planning vaccine rollout, or admitting visitors to congregate living. The innovation of the pandeval project is to rely on curating rich complex multimodal datasets. Social media-based models of community beliefs and attitudes around science skepticism, moral foundations, or the willingness to contribute to the public good, will be developed. Baseline profiles of in-real-life (IRL) behavior tracked by human mobility traces will be computed. Compartmental epidemiological models that account for population characteristics will be customized to account for a diversity of micro-targeted population segments and regions across the US. The pandeval platform will be engineered to measure the effectiveness of community targeted messaging around pandemic mitigation, including recommendations and mandates, and to measure the prediction accuracy of the customized epidemiological models. As the nation faces the potential of endemic COVID19, the pandeval project will create and curate pand-index, an index of online social beliefs and in-real-life (IRL) profiles at a national scale. Pand-index profiles will help individuals to make personalized decisions about social distancing or masking versus working from home. This award is supported by the cross-directorate predictive intelligence for pandemic prevention phase i (pipp) program, which is jointly funded by the directorates for biological sciences (BIO), computer information science and engineering (cise), engineering (ENG) and social, behavioral and economic sciences (SBE). 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.
Transactions
| Action | Federal | Non-federal | Date |
|---|---|---|---|
| Amendment | $0 | $0 | |
| Original award | $999,537 | $999,537 |
Subawards
| Subrecipient | Amount | Awarded |
|---|---|---|
| The Center For Disease Dynamics, Economics & Policy Inc. | $225,000 | |
| University Of Southern California | $224,553 |
Quick answers
Who received award 2200256?
2200256 was awarded to University Of Maryland, College Park by Division of Behavioral and Cognitive Sciences (National Science Foundation) on August 1, 2022.
How much is award 2200256 worth?
$1,999,074 has been obligated on 2200256: $999,537 in federal funding and $999,537 in non-federal funding.
Which agency awarded 2200256?
Division of Behavioral and Cognitive Sciences (National Science Foundation) awarded 2200256, with funding from National Science Foundation.
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