This federal Project Grant award of $300,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program aims to revolutionize the understanding and prediction of human mobility by leveraging data from urban infrastructures and commercial systems. The principal investigators at Lehigh University will design domain-invariant spatiotemporal modeling techniques for human mobility prediction, develop frameworks for collaborative learning across domains...
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...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $399,574 supports research to assess and mitigate spatial biases in large-scale mobile location data used for human mobility analysis. The key research objectives are: 1) developing metrics and analytical frameworks to quantify spatial bias in mobile location data, 2) identifying causes of spatial biases from the data generation process, 3) developing new methods to mitigate...
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 $164,940 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to investigate and develop solutions for ensuring fairness in artificial intelligence (AI) algorithms under challenges related to generalization, privacy, and robustness.
The key objectives of this 5-year research project at Emory University include: (1) addressing fairness in domain adaptation and temporal-invariant fairness through...
This $299,993 National Science Foundation project grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to develop privacy-preserving models leveraging mobility data for public health purposes. The award was made to Florida A&M University on January 1, 2022 for work concluding December 31, 2023. A sub-award of $TBD was also provided to the University of West Florida to support this research. Through this funding, the awardees will deliver...
The National Science Foundation (NSF) awarded a $330,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of California, Los Angeles (UCLA) to develop an innovative "MobilityNet" cyberinfrastructure (CI) tool. This tool will leverage privacy-preserving generative machine learning to synthesize realistic, sanitized mobility data that can be shared with the science and engineering community to enable...
This $400,000 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research on neighborhood dynamics and community connectedness. The project utilizes large-scale mobility data from 45 million devices to examine how residents from different neighborhoods engage with other communities over time and space. The research aims to identify representativeness biases in the mobility data, model neighborhood connectedness...
The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) program to the University of Utah Office of Sponsored Projects Division. The grant, awarded on June 15, 2023, will fund a project to build a foundational model for human mobility that can incorporate diverse types of movement, temporal, and socio-demographic data. The model will utilize machine learning techniques to generate outputs relevant to both...
This National Science Foundation (NSF) project grant under the Computer and Information Science and Engineering (CISE) program supports collaborative research to address issues of privacy and fairness in critical decision-making processes that leverage government data releases. The $169,540 award to the University of Virginia (UVA) aims to: 1) identify and understand biases and fairness issues that may arise when using differentially private data in downstream decision processes; 2) develop...