The University of Michigan was awarded a $150,000 Project Grant from the National Science Foundation Division of Mathematical Sciences on August 15, 2021 to complete the project by July 31, 2024. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise through increasing knowledge and enhancing understanding of major problems. Specifically, the University of Michigan will...
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 $331,698 National Science Foundation project grant supports research at Michigan State University to develop fair machine learning systems through improved data representations. Specifically, the Computer and Information Science and Engineering grant will fund research to study fundamental tradeoffs between utility and fairness in different data representations. The researchers will identify solutions to reduce gaps in achieving optimal tradeoffs and develop new representations and...
The National Science Foundation awarded a $448,000 Project Grant to The University of Texas at Arlington under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for work on "MEDIUM: COLLABORATIVE RESEARCH: FAIRNESS IN WEB DATABASE APPLICATIONS" from November 1, 2021 through October 31, 2024. The university will conduct investigator-initiated research with the goal of advancing the development and use of fair and unbiased techniques in web database...
The University of Illinois was awarded a $292,001 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on fairness in web database applications from November 1, 2021 to October 31, 2024. The grant supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Specifically, the University of Illinois will advance the...
This $400,000 Project Grant awarded by the National Science Foundation Division of Information and Intelligent Systems under CFDA 47.070 (Computer and Information Science and Engineering) supports collaborative research to develop responsible methods for the design and validation of algorithmic rankers. The key objectives are to: Quantify the impact of item attributes and engineering choices on ranked outcomes to guide the selection of appropriate scoring functions. Quantify the impact of data...
The University of Michigan was awarded a $300,000 project grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year grant will support the development of a large-scale, longitudinal resource to advance technical and legal understanding of textual privacy information. The University of Michigan will serve as the primary awardee, with the project expected to...
The University of Michigan was awarded a $330,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) to support research titled "ATD: ALGORITHMIC THREAT DETECTION AND MITIGATION WITH ROBUST MACHINE LEARNING" from September 1, 2021 through August 31, 2024. The grant funding will allow the University of Michigan to conduct research focused on developing robust machine learning...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award, totaling $299,392, aims to build a collaborative mechanism for academia, industry, and the public sector to co-design research and development (R&D) directions for data systems and artificial intelligence (AI) to address scientific and societal challenges. The project, led by the Regents of the University of Michigan, will bring together data science and...
The National Science Foundation awarded $235,438 under the Computer and Information Science and Engineering federal grant program to develop interpretable and fair machine learning frameworks, algorithms, and methodologies. The two-year project grant aims to address concerns that machine learning algorithms can inadvertently amplify human biases by funding research to design scalable, data-driven methods with provable fairness guarantees. Specifically, the grant will support the development of...