Project Grant 2446645
- This federal Project Grant award from the National Science Foundation (CFDA 47.075 - Social, Behavioral, and Economic Sciences) provides $162,395 to The Pennsylvania State University to develop the GEORDYN toolkit. The toolkit will leverage advances in artificial intelligence, computer science, and statistics to help researchers study the spatial and relational complexities of collective action events. This will enable new approaches to investigating how networks emerge and influence...
- This Project Grant award, valued at $325,000.00, was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Washington. The project develops powerful new tools for understanding complex data, leveraging cutting-edge artificial intelligence (AI) techniques to help data analysts across diverse fields make informed, automated decisions. The research introduces novel approaches to analyze messy, heterogeneous, and large...
- This $350,000 project grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to develop a simulation tool to model the information ecosystem and how content spreads through human networks. Using agent-based modeling techniques, the project will incorporate features of information flow, network structures, and agent characteristics to better understand how information propagates and how it may be influenced. The goal is to...
- This $226,874 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical tools for modeling and analyzing dependent data. The project, to be conducted by Cornell University, will focus on advancing methods for handling data dependencies in areas such as local elections, inflation modeling, spatial patterns, and environmental monitoring data. The research aims to provide...
- This $200,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will enable Carnegie Mellon University (CMU) to develop advanced spatiotemporal foundation models and generative AI capabilities for large-scale multimodal threat detection. The project aims to create new data representations and neural network architectures to scale up existing spatial detection algorithms, enabling the rapid deployment of analytical...
- The National Science Foundation (NSF) awarded a $265,102 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Carnegie Mellon University (CMU) from July 1, 2025 to June 30, 2027. The grant supports collaborative research aimed at building empirically informed models to better understand factors driving or hindering scientific innovation and progress. The research combines theoretical and empirical studies, using a mixed-method approach that integrates...
- This $199,944 federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) aims to develop advanced explainable spatial machine learning models and algorithms for clustering and predicting complex socioeconomic data. The project will create innovative, interpretable spatial machine learning methods applicable to a range of real-world problems in fields like public safety, social sciences, and advanced manufacturing. Key...
- This Project Grant award of $249,993 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a research project at Georgetown University to examine language data and advance language infrastructure, knowledge, and theory. The project provides empirical data for developing and testing theories of language, which are important for understanding human cognition, and trains students in these methods. The research focuses on documenting and...
- This $100,608 Project Grant was awarded on August 15, 2025 by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The project investigates the relationships between human activities, place attachments, and environmental factors, with the goal of developing a generalized theory on how external pressures influence attachment to places. The research utilizes a mixed-methods approach, including mapping geographic patterns of human...
- The National Science Foundation (NSF) awarded a $307,284 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Regents of the University of Michigan Office of Research and Sponsored Projects (doing business as University of Michigan) to conduct a collaborative research study titled "HNDS-R: Stepping Out of Flatland: Complex Networks, Topological Data Analysis, and the Progress of Science." The 3-year project, beginning September 1, 2023, will use...
This federal Project Grant award of $200,934 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of the GEORDYN toolkit. The toolkit will incorporate advances in artificial intelligence, computer science, and statistics to allow researchers to identify spatial and relational complexities in fine-grained data, enabling new approaches to investigating questions around collective action, event diffusion, and network dynamics. The project aims to create new methods and software that can be used by academic researchers as well as those outside the academic community to understand the causes and implications of complex, dynamic events. Carnegie Mellon University is the lead awardee, with plans for sub-awards, and the award period runs from Sep 2025 to Aug 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.9k | 9/8/25 |