Project Grant 2318170
- This $350,000 National Science Foundation project grant supports statistical modeling research for complex networks at the University of Michigan from September 2022 through August 2025. Funded through the NSF's Mathematical and Physical Sciences program (CFDA 47.049), the award aims to develop new statistical methodologies and theory to incorporate higher-order structures into network modeling. Specifically, the investigators will study leveraging subgraphs and other higher-order structures...
- The Regents of the University of Minnesota, through its Office of Sponsored Projects Administration, was awarded a $249,119 Project Grant from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The 3-year grant, which commenced on September 1, 2023, will support collaborative research on how the increasing "burden of knowledge" required for scientific progress has slowed the pace...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $300,000 over a 3-year period from August 2024 to July 2027 to the Regents of the University of Michigan to conduct research on the mathematical and computational modeling of networked systems. The key research areas include: 1) Creating accurate mathematical models of network structures to enable realistic simulations using limited data; 2) Developing...
- The University of Michigan was awarded a $270,000 Project Grant from the National Science Foundation Division of Mathematical Sciences. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049) and supports collaborative research on flexible network inference from July 1, 2021 to June 30, 2024. Through this funding, researchers will work to advance understanding of major problems in network science and mathematics by developing new techniques to infer the structure and...
- This $143,126 Project Grant was awarded by the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant supports collaborative research at Macalester College to study how the growing scale and organization of scientific knowledge impacts the pace of scientific discovery. The project will apply topological data analysis techniques to bibliometric and grant payment data to examine concept...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award to Michigan State University (MSU) in the amount of $252,831 supports the development of guidelines for reporting about network data. The project aims to facilitate the collaborative development of these guidelines, which will enable network researchers to describe their data clearly, consistently, and transparently. This will enhance the value of existing network research by...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $350,000 is funding a research project at the University of Chicago to investigate the role of networks in influencing the outcomes of interventions across various domains, such as education, marketing, and tax decisions. The project will focus on developing new randomized experimental methods and open-source software to enable robust inference of network effects and quantify...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $325,000 Project Grant to the Regents of the University of Michigan, effective July 1, 2026 through June 30, 2029, under the Mathematical and Physical Sciences program (CFDA 47.049). The project develops machine learning and statistical methods for analyzing complex heterogeneous network data, with emphasis on prediction, representation learning, and population-level network comparisons....
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) provides funding of $238,061 to the University of Delaware from August 15, 2024 to July 31, 2027. The award supports the Principal Investigator's research to develop a systematic mathematical approach for analyzing and visualizing large complex networks, such as social networks, biological networks, and neural cell networks. The key research objectives include...
- 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...
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 innovative mathematical tools like topological data analysis to study how growth in scientific knowledge and changes in the social organization of research impact the pace of scientific discovery. The research aims to identify factors that affect the rate and character of new discoveries, whether discovery rates are influenced by research funding or the organization of scientific work, and how these effects vary across time and fields of study.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $307.3k | 8/11/23 |