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 $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 $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...
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 $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...
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 $330,000 Project Grant award was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049). The project will develop new AI-based techniques to detect anomalous behavior of individuals and groups based on their GPS location data. The investigators will create a temporal graph neural network (GNN) to characterize normal and abnormal location behavior patterns, and a dynamic graph anomaly detection (DGAD) approach to...
This National Science Foundation project grant of $229,996 will fund the development of novel context-aware time-geographic analytical methods and open-source tools to trace and characterize dynamic interactions between agents in mobile networks using large movement data sets. Awarded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the funding supports research at the University of California, Santa Barbara from October 1, 2022 to September 30, 2025. The project aims...
This $400,000 Project Grant was awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant supports a 3-year research project that examines the impacts of natural disasters on community resilience and spatial disparities. The project has three key components: 1) analyzing disruptions to resident mobility patterns using mobile phone data, 2) investigating spatial variation in requests for government assistance, and 3)...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $149,947 to the University of Houston System to conduct collaborative research on accounting for geolocation errors in spatial point pattern analysis for social science data. The research aims to develop statistical methods to better address location inaccuracies in event data sets used to study phenomena like crime, protests, and terrorism. The team will...