Project Grant 2209951
Award Date 7/1/22
Completion Date 6/30/24
Dollars Obligated $150K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Tucson, AZ 85721, USA
Similar Awards
- This $166,500 Project Grant was awarded by the National Institute of Justice (NIJ) under the National Institute of Justice Research, Evaluation, and Development Project Grants program (CFDA 16.560). The purpose of the grant is to conduct research examining the intersection of legal and technical concepts of fairness in artificial intelligence (AI) used for criminal risk assessment, with a focus on recidivism prediction models. The key research questions include: 1) At which technical stage of...
- 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...
- This three-year, $330,000 National Science Foundation Social, Behavioral, and Economic Sciences project grant will fund research at Harvard University evaluating the impacts of machine learning algorithms on human decisions. Principal Investigator James Greiner will lead a team that includes Zhichao Jiang of the University of Massachusetts, who will help direct the project. The team will develop statistical frameworks to estimate the causal effects of algorithm-generated pretrial risk assessment...
- 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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) award provides $274,574 to Lifelab Studios, Inc. to develop and test an AI-powered platform that assists justice-involved youth in developing protective factors for positive life changes. The project will use advanced machine learning and large language models to optimize the platform's effectiveness in providing tailored, strengths-based feedback to help break the cycle of recidivism and support...
- 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....
- This $585,775 Project Grant awarded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Arizona State University (ASU) will test how categorical forensic decisions may contribute to wrongful convictions and identify ways to reduce their harm to the innocent. The three-year project includes five experiments and a continuing legal education component designed for attorneys and judges to promote the fair administration of justice by transforming...
- This National Science Foundation (NSF) project grant under the Computer and Information Science and Engineering (CISE) program supports collaborative research to address issues of privacy and fairness in critical decision-making processes that leverage government data releases. The $169,540 award to the University of Virginia (UVA) aims to: 1) identify and understand biases and fairness issues that may arise when using differentially private data in downstream decision processes; 2) develop...
- This $135,843 Project Grant was awarded on October 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) grant program (CFDA 47.070). The grant will support a research project led by Florida Atlantic University (FAU) focused on developing a "federated meta-learning framework" to enhance AI-driven crime analytics capabilities. The key products and services to be delivered under this award include: Creation of a novel data...
- This $346,500 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund research at The Ohio State University examining the long-term impacts of fair machine learning under strategic individual behavior. The researchers will establish an analytical framework to characterize complex sequential interactions between individuals and machine learning systems over repeated interactions. This framework aims to enable...