Project Grant 2210572
- This $399,574 Project Grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to assess and mitigate spatial biases in large-scale mobile location data used for human mobility analysis. The University of Florida, the prime awardee, will undertake four key research tasks: 1) quantify spatial bias in mobile location data; 2) identify causes of spatial biases from the data generation process; 3) develop new methods...
- This $553,536 Project Grant awarded by the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) aims to develop a fairness auditing framework for predictive mobility models based on location data. The key products and services delivered through this 2-year award include: Building infrastructure, knowledge, and methods for creating spatial-temporal data through fair-aware generative AI models to enable...
- This Project Grant award from the National Science Foundation's Integrative Activities (CFDA 47.083) program provides $592,000 to Morgan State University from August 1, 2024 to July 31, 2027. The project supports research into developing fairness-aware methodologies to address data and machine learning biases in smart mobility applications. Key focus areas include mitigating measurement, representation, and aggregation biases. The work aims to promote fair and equitable use of AI/ML in...
- This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems will fund $123,946 for research into understanding and mitigating bias in artificial intelligence models for predicting infectious disease spread. The award is part of the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Specifically,...
- This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $373,667 to Emory University for research on understanding and mitigating bias in artificial intelligence models for infectious disease spread prediction. Over a three-year period from April 2023 through March 2026, the grantee will develop an AI system to predict the spatial and temporal spread of...
- This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $400,000 to New York University (NYU) to research neighborhood mobility patterns and their relationship to community well-being. The key products and services to be delivered include: Identifying biases in large-scale mobility data and developing methods to correct them; modeling neighborhood connectedness networks using mobility data and analyzing how...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) aims to revolutionize the understanding and prediction of human mobility patterns. The $300,000 award to Lehigh University, to be executed from September 1, 2024 to August 31, 2027, will support the development of privacy-preserving, federated neural networks to analyze large-scale, cross-domain human mobility data from sources like smartphones, payment...
- This two-year Project Grant from the National Science Foundation's Division of Computing and Communication Foundations provides $174,999 to develop a novel technique for testing fairness in human decisions using algorithmic bias. The work will be performed by Rochester Institute of Technology under the Computer and Information Science and Engineering program (CFDA 47.070), which supports research and education across computing, communications, and information science. Specifically, the awardee...
- The National Science Foundation awarded $755,098 under the Computer and Information Science and Engineering federal grant program to the University of Pittsburgh to advance deep learning methods towards spatial fairness from June 2022 to May 2025. The University will develop new statistical formulations and machine learning frameworks to explicitly preserve spatial fairness when applying artificial intelligence to geospatial problems. It will investigate challenges in partitioning spatial data...
- This $625,000 National Science Foundation project grant supports research at the University of Maryland, College Park toward developing fair machine learning algorithms and applications. Specifically, the grant funds the "Toward Fair Decision Making and Resource Allocation with Application to AI-Assisted Graduate Admission and Degree Completion" project. The research aims to design artificial intelligence systems that make admission and resource allocation decisions for graduate...
This $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Maryland, College Park to develop transparent and interpretable bias mitigation approaches for place-based mobility-centric prediction models. The three-year award beginning September 1, 2022 will support technical contributions in three thrusts. The first will provide a novel prediction model to forecast reported place-based statistics while mitigating potential under-reporting bias. The second will create a new sampling approach to correct for underrepresented groups in human mobility data from cell phones. The third will produce transfer learning methods to address algorithmic bias issues in data-scarce regions. All bias mitigation methods will include novel interpretability components to distill the social determinants influencing embedded data biases and to identify each model component's role in the mitigation process. Outcomes aim to advance the state of the art in designing fair bias mitigation for place-based mobility models, with evaluations in public health and public safety contexts.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/20/22 |