Project Grant 2504990
Award Date
8/1/25
Completion Date
7/31/28
Dollars Obligated
$425K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30332, USA
Similar Awards
This $575,000 project grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant will support collaborative research at Columbia University focused on developing algorithmic and machine learning tools to improve the quality and representativeness of data used in high-stakes decision-making domains like healthcare, finance, and digital services. The key objectives are to: (1) analyze how individual data...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of scalable software to realize "data polymorphism" - a novel paradigm that enables fast and adaptable scientific data retrieval with tailored error control. The key products and services to be delivered include: A generic framework to abstract the generation of progressive data representations, allowing for...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a total funding of $299,996, supports a collaborative research project titled "CIF: SMALL: New Frontiers of Approximate Message Passing: Distributed Processing, Stochastic Updates, and Non-Asymptotic Bounds." The project, awarded to Trustees of Boston University, aims to develop novel iterative algorithms and a theoretical framework for efficiently processing massive...
This $198,000 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Chicago. The grant supports the development of methodologies and programming frameworks for designing and implementing data-sharing market systems. The technical activities include designing and implementing a data-sharing programming framework, analyzing constraints and invariants of data flow control to aid...
This National Science Foundation (NSF) Project Grant award to Purdue University, under the Computer and Information Science and Engineering program (CFDA 47.070), focuses on developing novel technologies to enable robust, fair, and explainable data-driven decision-making systems. The $466,411 award, effective July 1, 2023 through June 30, 2028, will fund research to: 1) detect and mitigate biases in machine learning model outcomes, 2) assess the validity of data for learning fair and trustworthy...
This Project Grant award of $298,660 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports the development of resilient data stream algorithms. The award aims to design algorithms that are less dependent on assumptions and more reliable in practice, tackling key challenges in data stream algorithm theory. The project will focus on developing adversarially robust algorithms, parameter-free and non-adaptive algorithms,...
This Project Grant award of $270,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of advanced computational methods for tracking and analyzing evolving patterns in large-scale networks. The project aims to create scalable and accessible tools for dynamic network analysis that can enable early detection of disease outbreaks, improved understanding of social dynamics, and enhanced network security. The...
This Project Grant award for $174,925, provided by the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering), supports the development of novel data transfer optimization techniques for high-performance computing applications. The key project objectives are to: (i) implement a robust monitoring framework to enhance system visibility and enable global optimization and fair resource allocation; (ii) develop a simulator that replicates complex storage and...
This $299,886 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop new big data algorithms that are robust to adversarial input. The award supports research to address emerging vulnerabilities in areas such as black-box streaming algorithms, white-box streaming algorithms, and adaptive data analysis with bounded space. This work will focus on improving the reliability, security, and trustworthiness of...
The National Science Foundation (NSF) awarded a Project Grant titled "COLLABORATIVE RESEARCH: IMR: MM-1B: PRIVACY-PRESERVING DATA SHARING FOR MOBILE INTERNET MEASUREMENT AND TRAFFIC ANALYTICS" under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Board of Regents of the University of Nebraska, doing business as the University of Nebraska, in the amount of $170,000. The project aims to develop new methods for augmenting mobile internet...