Project Grant 1910284

Award Date 10/1/21
Completion Date 9/30/24
Dollars Obligated $485K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Fayetteville, AR 72701, USA
Similar Awards
The University of Arkansas was awarded a $150,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The two-year grant will support the university's research project "EAGER: Towards Fair Regression under Sample Selection Bias" from September 2021 through August 2023. The Computer and Information Science and Engineering program aims to advance computing and information sciences through...
The National Science Foundation awarded $739,500 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to The Trustees of Columbia University in the City of New York for the project "III: TOWARDS CAUSAL FAIR DECISION-MAKING" from May 15, 2021 through April 30, 2024. The funding will support investigator-initiated research and education in computing, communications, and information science and engineering to advance the development and use of...
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 Arizona was awarded a $507,424 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support the university's research project "SMALL: LEARNING TO CORRECT ERRORS" from October 1, 2021 through September 30, 2024. The NSF's Computer and Information Science and Engineering program aims to advance computing research and education. This award will fund the University of...
The Trustees of the University of Pennsylvania received a $392,992 Project Grant from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research and education activities aimed at developing machine learning techniques that break through the fairness-accuracy tradeoff paradigm. Specifically, the university researchers will draw on ideas from learning theory and...
The University of Arkansas was awarded a $100,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to plan and develop infrastructure for performing side-channel attacks on cryptographic algorithms. Specifically, the award will support outreach activities to solicit requirements for a remotely accessible research infrastructure called SCA-in-Cloud. An advisory committee and prototype including FPGA and embedded...
The National Science Foundation (NSF) awarded a $1,182,881 Project Grant to the University of California, San Diego (UCSD) under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of new methods to ensure that machine learning models assigned to decisions such as lending and hiring can be changed through individual actions, protecting the right to access these services. The project will create techniques for (1) detecting...
The University of California, Santa Barbara (UCSB) was awarded a $439,984 Project Grant by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to conduct research on mitigating bias in machine learning algorithms. The goal of the 3-year project is to develop theoretical frameworks and principled algorithms to enhance fairness in both static and dynamic machine learning-based decision-making systems. The research will investigate...
This $600,000 federal Project Grant award from the National Science Foundation (NSF)'s Computer and Information Science and Engineering (CISE) program will support research and education efforts at the University of Illinois on the topics of fairness in algorithmic decision-making and machine learning. The project aims to advance the state-of-the-art on achieving fairness in computational resource allocation tasks, like vaccine distribution, as well as developing fairness concepts for machine...
This $462,500 Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), supports the development of advanced causal inference methods for data-driven decision making. Key products and services to be delivered include: Automated and robust causal AI systems that integrate machine learning and causal inference techniques to enable more decision-makers to leverage causal analysis. The project will...

The University of Arkansas was awarded a $484,828 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 research titled "III:SMALL: COUNTERFACTUALLY FAIR MACHINE LEARNING THROUGH CAUSAL MODELING" from October 1, 2021 through September 30, 2024. The grant aims to advance the development of machine learning techniques that employ causal modeling to achieve counterfactual fairness, which will support the program's goals of advancing discovery and innovation in computing and information sciences. The research will be conducted at the University of Arkansas in Fayetteville.

Generated 1/7/24, 7:24 AM