This three-year project grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $681,272 to Northwestern University to advance the understanding of network science and network inference. Specifically, the university will study more expressive and realistic formulations of community detection in networks that move beyond the standard stochastic block...
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...
This $318,903 Project Grant award, funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research on the economic theory of networks. The award, granted to Northwestern University, will develop new models and measures of network structure tailored to specific economic outcomes. The research projects include analyzing how individuals learn from social contacts, studying strategic pricing decisions in supply chain networks,...
This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will develop general algorithmic frameworks and analysis tools for understanding and manipulating real-world networks across various domains. The $300,000 award to the University of Maryland, College Park, with a period of performance from April 2024 to March 2027, aims to create provably efficient algorithms that can provide quality...
This federal Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of new community detection methods and software capable of analyzing large networks with millions or billions of vertices. The $398,000 award to the University of Illinois will enable the creation of highly efficient parallel algorithms and software implementations that can be deployed on high-performance...
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...
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 $275,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support collaborative research to develop new statistical approaches for comparing and aligning networks. The research will focus on investigating optimal transport-based distances for Markov embeddings of networks, developing new methods for network alignment and comparison, and establishing theoretical results about these approaches. The...
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...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, with an award of $332,747 on January 15, 2024, supports the development of a scalable software infrastructure for analyzing complex networks. The project will create foundational algorithms and a versatile software framework capable of leveraging large-scale cyberinfrastructure to analyze massive networks across scientific domains. Key applications include extreme weather prediction,...