2230692
Cooperative Agreement
Overview
Grant Description
NSF Convergence Accelerator Track F: Course Correct: Precision Guidance Against Misinformation
The NSF Convergence Accelerator supports use-inspired, team-based, multidisciplinary efforts that address challenges of national importance and will produce deliverables of value to society in the near future. This project, Course Correct: Precision Guidance Against Misinformation, is a flexible and dynamic digital dashboard that will help end users such as journalists to:
1. Identify trending misinformation networks on social media platforms like Twitter, Facebook, and TikTok.
2. Strategically correct misinformation within the flow of where it is most prevalent online.
3. Test the effectiveness of corrections in real time.
In Phase II, Course Correct will partner with local, state, national, and international news and fact-checking organizations to test how well the Course Correct digital dashboard helps journalists detect misinformation, correct misinformation, share message interventions containing the verifiable truth into misinformation networks, and verify the success of the corrections.
This project aims to:
1. Extend our use of computational means to detect misinformation, using multimodal signal detection of linguistic and visual features surrounding issues such as vaccine hesitancy and electoral skepticism, coupled with network analytic methods to pinpoint key misinformation diffusers and consumers.
2. Continue developing A/B-tested correction strategies against misinformation, such as observational correction, using ad promotion infrastructure and randomized message delivery to optimize efficacy for countering misinformation.
3. Disseminate and evaluate the effectiveness of evidence-based corrections using various scalable intervention techniques available through social media platforms by conducting small, randomized control trials within affected networks, focusing on diffusers, not producers of misinformation, and whether our intervention system can reduce the misinformation uptake and sharing within their social media networks.
4. Scale Course Correct into local, national, and international newsrooms, guided by dozens of interviews and ongoing collaborations with journalists, as well as tech developers and software engineers.
By the end of Phase II, Course Correct intends to have further developed the digital dashboard in ways that could ultimately be adopted by other end users such as public health organizations, election administration officials, and commercial outlets.
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.
The NSF Convergence Accelerator supports use-inspired, team-based, multidisciplinary efforts that address challenges of national importance and will produce deliverables of value to society in the near future. This project, Course Correct: Precision Guidance Against Misinformation, is a flexible and dynamic digital dashboard that will help end users such as journalists to:
1. Identify trending misinformation networks on social media platforms like Twitter, Facebook, and TikTok.
2. Strategically correct misinformation within the flow of where it is most prevalent online.
3. Test the effectiveness of corrections in real time.
In Phase II, Course Correct will partner with local, state, national, and international news and fact-checking organizations to test how well the Course Correct digital dashboard helps journalists detect misinformation, correct misinformation, share message interventions containing the verifiable truth into misinformation networks, and verify the success of the corrections.
This project aims to:
1. Extend our use of computational means to detect misinformation, using multimodal signal detection of linguistic and visual features surrounding issues such as vaccine hesitancy and electoral skepticism, coupled with network analytic methods to pinpoint key misinformation diffusers and consumers.
2. Continue developing A/B-tested correction strategies against misinformation, such as observational correction, using ad promotion infrastructure and randomized message delivery to optimize efficacy for countering misinformation.
3. Disseminate and evaluate the effectiveness of evidence-based corrections using various scalable intervention techniques available through social media platforms by conducting small, randomized control trials within affected networks, focusing on diffusers, not producers of misinformation, and whether our intervention system can reduce the misinformation uptake and sharing within their social media networks.
4. Scale Course Correct into local, national, and international newsrooms, guided by dozens of interviews and ongoing collaborations with journalists, as well as tech developers and software engineers.
By the end of Phase II, Course Correct intends to have further developed the digital dashboard in ways that could ultimately be adopted by other end users such as public health organizations, election administration officials, and commercial outlets.
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.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF CONVERGENCE ACCELERATOR PHASES I AND II FOR THE 2021 COHORT", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF21572
Grant Program (CFDA)
Awarding Agency
Place of Performance
Madison,
Wisconsin
53715-1218
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Termination This cooperative agreement was reported as terminated by the Department of Government Efficiency (DOGE) in July 2025. See All
Amendment Since initial award the End Date has been extended from 08/31/24 to 04/18/25 and the total obligations have increased 111% from $2,370,316 to $5,000,000.
Amendment Since initial award the End Date has been extended from 08/31/24 to 04/18/25 and the total obligations have increased 111% from $2,370,316 to $5,000,000.
University Of Wisconsin System was awarded
Precision Guidance Against Misinformation: Course Correct
Cooperative Agreement 2230692
worth $5,000,000
from in September 2022 with work to be completed primarily in Madison Wisconsin United States.
The grant
has a duration of 2 years 7 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Cooperative Agreement was awarded through grant opportunity NSF Convergence Accelerator 2022 Joint NSF/DOD Phases 1 and 2 for Track G: Securely Operating Through 5G Infrastructure.
Status
(Complete)
Last Modified 6/3/25
Period of Performance
9/15/22
Start Date
4/18/25
End Date
Funding Split
$5.0M
Federal Obligation
$0.0
Non-Federal Obligation
$5.0M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for 2230692
Transaction History
Modifications to 2230692
Additional Detail
Award ID FAIN
2230692
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
491502 INNOVATION AND TECHNOLOGY ECOSYSTEMS
Funding Office
491502 INNOVATION AND TECHNOLOGY ECOSYSTEMS
Awardee UEI
LCLSJAGTNZQ7
Awardee CAGE
09FZ2
Performance District
WI-02
Senators
Tammy Baldwin
Ron Johnson
Ron Johnson
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $5,000,000 | 100% |
Modified: 6/3/25