Project Grant 2051196
Award Date
7/1/21
Completion Date
6/30/24
Dollars Obligated
$330K
Funding Federal Agency
National Science Foundation
Awarding Federal Agency
Division of Social Behavioral and Economic Science
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Cambridge, MA 02138, USA
Similar Awards
This $150,000 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research to develop impact-aware machine learning models for risk assessment in juvenile justice systems. The University of Arizona will design a framework that incorporates the effects of interventions on recidivism risk while achieving individual fairness and data privacy. The researchers will adapt potential outcomes frameworks from causal inference to build models...
This $625,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research into end-to-end fairness for algorithm-in-the-loop decision making in the public sector. New York University will lead the development of novel methods for identifying and correcting biases in massive, multivariate data used for algorithmic decision making. This will include building models to represent human decision making processes, auditing tools to...
This $625,000 National Science Foundation project grant supports research at the University of Maryland, College Park toward developing fair machine learning algorithms and applications. Specifically, the grant funds the "Toward Fair Decision Making and Resource Allocation with Application to AI-Assisted Graduate Admission and Degree Completion" project. The research aims to design artificial intelligence systems that make admission and resource allocation decisions for graduate...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $599,986 to Stanford University for research titled "Machine Learning with Behavioral and Social Data." The five-year award beginning in August 2022 will support the development of new machine learning algorithms that model human decision-making descriptively based on behavioral data. The researcher aims to build on recent advances in modeling choices as driven by...
This two-year Project Grant from the National Science Foundation's Division of Computing and Communication Foundations provides $174,999 to develop a novel technique for testing fairness in human decisions using algorithmic bias. The work will be performed by Rochester Institute of Technology under the Computer and Information Science and Engineering program (CFDA 47.070), which supports research and education across computing, communications, and information science. Specifically, the awardee...
This Project Grant award, valued at $349,864 and funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, will support research that leverages recently linked criminal justice data from the Criminal Justice Administrative Records System (CJARS) to study how involvement in the justice system shapes the lives of individuals, families, and communities in the U.S. The research aims to answer questions about: 1) changes in the risk of criminal...
The National Science Foundation Division of Social and Economic Science awarded a $400,000 project grant to President And Fellows Of Harvard College for work titled "MEASURING AND REDUCING ALGORITHMIC DISCRIMINATION WITH QUASI-EXPERIMENTAL DATA." The three-year grant, awarded September 1, 2021 and set to be completed by August 31, 2024, will support research under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075). This program aims to contribute to scientific...
This $350,000 Project Grant was awarded on August 1, 2023 by the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports the development of new tools for fair and explainable machine learning-based scheduling systems for court case management, with the goal of reducing non-appearance by defendants and ensuring equitable scheduling. Key areas of research and development...
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 Project Grant award from the National Science Foundation's STEM Education (CFDA 47.076) program provides $200,000 to The Trustees of the University of Pennsylvania to engage high school youth in Philadelphia in learning about algorithmic justice through audits of machine learning applications. The one-year study involves high school students designing everyday machine learning apps and collaboratively conducting algorithm audits to understand issues of fairness, accountability, and justice....