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 Project Grant award, with a total funding of $180,000, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The primary objectives of this collaborative research project led by Virginia Polytechnic Institute & State University (Virginia Tech) are to: Develop new methods for augmenting mobile internet measurement data with explainable quality and utility attributes, to enable...
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 $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 $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 Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070) provides $250,000 in funding to Rutgers, The State University of New Jersey to develop the fundamental principles for the systematic study of synthetic data. The research aims to establish properties of synthetic data, formal definitions of "synthetic", and a comprehensive evaluation framework including...
This $175,822 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports Cornell University in developing an online learning framework for socially emerging mixed mobility systems. The goal is to create an equitable transportation system that improves safety, efficiency, and traveler acceptance by merging learning and control approaches. The framework will use mechanism design theory and contextual...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $166,924 aims to enhance privacy leak detection in mobile applications by identifying and analyzing sources of domain-sensitive user data. The key products and services to be delivered include: Conducting a crowdsourcing study to categorize domain-sensitive data within mobile app user interfaces. Developing a novel approach using static and...
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 $2,228,505 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports the development of a cloud-based, open, and collaborative cyberinfrastructure to enable data-driven exploration and modeling of urban data. The project aims to address two critical obstacles in urban computing: the lack of robust, well-engineered tools and open computing platforms, and the dispersed community of cross-disciplinary...