Project Grant 2147195
- 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...
- 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 $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...
- 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...
- The University of Pittsburgh received a $316,000 Project Grant award from the National Science Foundation Division of Computer and Network Systems to support research titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: TOWARDS UNSUPERVISED LEARNING ON RESOURCE CONSTRAINED EDGE DEVICES WITH NOVEL STATISTICAL CONTRASTIVE LEARNING SCHEME." The three-year award, issued on October 1, 2021 with a completion date of September 30, 2024, will fund research into unsupervised learning techniques...
- This $597,149 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to advance fundamental research in fair algorithmic decision-making. The project at Purdue University will develop novel algorithms and software to facilitate the adoption and evaluation of fair artificial intelligence (AI) systems, with a focus on promoting health equity in applications like Alzheimer's disease research. Key...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant award of $588,040 to the University of Pittsburgh will support research on multilingual object detection methods that can better handle shifts in geographic domain and visual concepts. The 3-year project aims to develop techniques that leverage language models and diverse cultural knowledge to improve object detection performance in target domains with limited data, such as Africa. Key...
- The National Science Foundation (NSF) awarded a $581,966 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Pittsburgh. The grant, awarded on May 1, 2024, with a completion date of April 30, 2027, supports the development of a hardware-software co-design framework to address performance and memory space issues for privacy protection in cloud-based deep learning recommendation systems (DLRMs). Key project objectives include: 1)...
- Carnegie Mellon University was awarded a $391,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the Computer and Information Science and Engineering federal grant program (CFDA 47.070) and will fund the "FAI: FAIR AI IN PUBLIC POLICY - ACHIEVING FAIR SOCIETAL OUTCOMES IN ML APPLICATIONS TO EDUCATION, CRIMINAL JUSTICE, AND HEALTH AND HUMAN SERVICES" project from April 1, 2021 through March 31, 2024. Under this...
- The National Science Foundation Office of Emerging Frontiers and Multidisciplinary Activities awarded $150,000 to Carnegie Mellon University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support the project "COMBINING HUMAN AND MACHINE INTELLIGENCE TO IMPROVE EQUITY AND FAIRNESS IN THE WORK OF MUNICIPAL, PUBLIC SECTOR DECISION MAKING" from October 1, 2021 to September 30, 2022. This Project Grant funding will support Carnegie Mellon...
The National Science Foundation awarded $755,098 under the Computer and Information Science and Engineering federal grant program to the University of Pittsburgh to advance deep learning methods towards spatial fairness from June 2022 to May 2025. The University will develop new statistical formulations and machine learning frameworks to explicitly preserve spatial fairness when applying artificial intelligence to geospatial problems. It will investigate challenges in partitioning spatial data and evaluate fairness across locations. New network architectures will mitigate conflicts between locations due to shifting data distributions. Adversarial learning strategies will guide training to maintain solution quality while maximizing fairness across spaces. A knowledge-enhanced approach will integrate physical relationships to mitigate data inequalities and simulate relevant variables to enhance interpretability of spatial fairness results. The funding will support advancing deep learning techniques to reduce biases linked to data sample locations that can exacerbate unfair resource distribution and weaknesses in resilience if left unaddressed.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $755.1k | 5/25/22 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
0127821S | University Of Maryland, Baltimore | Project Grant 2147195 | $424.8k | 4/11/24 |