Project Grant HQ00342110002

This Project Grant award of $314,283 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a unified framework for analyzing general graph dynamics and interconnected networks. The primary objectives are to: 1) derive a generalized, interpretable framework for graph dynamics using advanced methods like sparse symbolic dynamics and probabilistic modeling; 2) investigate how dynamics in one network, such as disease-spreading or...

This Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences, with the CFDA number 47.049, provides $200,000 in funding to Michigan State University (MSU) to establish a theoretical framework for characterizing information propagation within social systems. The research aims to develop novel models and strategies for analyzing large spatiotemporal datasets related to the diffusion of information, such as news, diseases, and security threats. The project...

This $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research at Carnegie Mellon University to develop methods for uncovering the hidden interconnections among the components of complex networked dynamical systems. The project aims to infer the connectivity structure of systems like brain networks, power grids, and pandemic spread models where only a subset of the nodes or agents can be directly...

This three-year, $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support collaborative research between Columbia University and the University of Pennsylvania on scalable and communication-efficient learning-based distributed control. The researchers will develop a foundational and integrated theory of distributed learning-enabled control and approximated distributed...

The National Science Foundation Division of Behavioral and Cognitive Sciences awarded The Pennsylvania State University a $160,000 Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to expand the usability of the dynamic dyadic systems approach for analyzing conversations. The award will support two conferences bringing together investigators from different fields to apply this analytic method to face-to-face and digital interactions using existing data sets....

This three-year $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support research to advance the practical application of distributed learning-enabled control systems. The University of Pennsylvania and Columbia University will collaborate on developing foundational theory and integrated approaches for scalable and communication-efficient distributed control. This includes...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $599,986 to Stanford University for research titled "Machine Learning with Behavioral and Social Data." The five-year award beginning in August 2022 will support the development of new machine learning algorithms that model human decision-making descriptively based on behavioral data. The researcher aims to build on recent advances in modeling choices as driven by...

This National Science Foundation (NSF) Division of Social and Economic Science Project Grant award of $234,489 supports collaborative research at New York University (NYU) from September 1, 2023 to August 31, 2026. The primary objectives are to: Conduct a series of experiments to understand how people form subjective causal models based on observed data patterns, and how these models may be influenced by preconceptions triggered by natural contexts. This will provide insights into how economic...

This National Science Foundation (NSF) Project Grant award, with Catalog of Federal Domestic Assistance (CFDA) program number 47.075 for the Social, Behavioral, and Economic Sciences, provides $350,000.00 in funding from June 1, 2025 to May 31, 2028. The award aims to develop a simulation tool to model the information ecosystem, specifically how content spreads and is consumed by people in a network. Using agent-based modeling techniques, the project incorporates features of information flow,...

This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems Project Grant awarded to Vanderbilt University, with a CFDA number of 47.041, provides $239,999 in funding from September 1, 2023 to August 31, 2026. The project aims to develop a new paradigm grounded in networked control system theory to represent graph data for effective graph machine learning. By modeling graphs as controlled networked dynamical systems, the project designs graph representations...