Project Grant 2320050
- This federal Project Grant award, titled "CAREER: BRINGING STRUCTURE TO THE UNSTRUCTURED: ROBUST CAUSAL AND STATISTICAL MODELING OF HIGH-DIMENSIONAL UNSTRUCTURED DATA", is provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $329,020 grant, awarded to the University of Michigan on June 15, 2025, focuses on developing new analytical tools to extract meaningful insights from complex, high-dimensional...
- The National Science Foundation (NSF) awarded a $1,000,000 project grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to Michigan State University. The funding will support a 4-year research project to advance the fundamental understanding and practical implementation of trade-offs among predictive accuracy, robustness across patient populations, and patient privacy in AI-driven healthcare systems, with a focus on diagnosing skin and soft tissue...
- The National Science Foundation awarded a $250,000 Project Grant to the University of Michigan under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into a new paradigm for distributed information processing, simulation and inference in networks through application of the "law of small numbers." The University of Michigan will leverage its expertise in computing and communications foundations to...
- This $574,140 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of novel algorithms to extract causal relationships from diverse, unstructured datasets. The project aims to address limitations of current causal discovery methods that rely heavily on interventional data, by creating algorithms that can leverage common causal knowledge across datasets from different environments....
- Michigan State University was awarded a $347,497 Project Grant from the National Science Foundation Division of Computer and Network Systems. The grant falls under the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. The grant will fund the collaborative research project "Moving Beyond Access, Increasing Teacher Knowledge to Teach...
- The National Science Foundation (NSF) awarded a $543,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. This 3-year grant, starting on September 1, 2024, aims to develop statistical tools to assess the societal impacts of predictive models and policy recommendations in order to improve social welfare. The technical focus is on leveraging the phenomenon of "performativity", where the predictive...
- This federal Project Grant award of $180,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at Michigan State University to improve the robustness and trustworthiness of artificial intelligence (AI) models. The project aims to establish statistical frameworks for adversarial training in neural networks and develop scalable algorithms that leverage dynamic attack strategies and selective sampling to enhance the...
- This $113,018 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research at Michigan State University (MSU) to develop robust machine learning methods for imaging applications. The project aims to advance supervised and unsupervised learning approaches that can effectively reconstruct and correct images using limited training data, while being resilient to perturbations such as...
- The University of Michigan was awarded a $269,065 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year grant will support the university's collaborative research project entitled "COLLABORATIVE RESEARCH: III: SMALL: ENTITY- AND EVENT-DRIVEN MEDIA BIAS DETECTION." The project aims to advance development of research tools to detect media bias at the entity and event levels through automated...
- This $174,118 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop new algorithms and software tools to enable robust causal inference from observational data, even when faced with model misspecification and uncertainty. The project seeks to build methods that allow data scientists to propose multiple causal models and combine effect estimates, as well as perform model selection that...
Michigan State University was awarded a $239,960 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research from July 1, 2023 to December 31, 2024 to develop techniques combining formal reasoning and artificial intelligence to discover causal relationships between medical events. Specifically, the university will investigate notions of causality, reduce causal structure extraction to automated reasoning procedures, and incorporate model checkers and AI to reason about causality in health data at scale. The project aims to advance root cause analysis and causality-based predictive modeling for more accurate diagnosis and treatment selection in the medical domain. No subawards were indicated.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $240.0k | 5/24/23 |