Project Grant 2140729

Award Date 9/1/21
Completion Date 8/31/23
Dollars Obligated $116K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
North Dartmouth, Dartmouth, MA 02747, USA
Similar Awards
This $364,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project to develop scalable, high-performance graph-based clustering algorithms for large datasets. The project aims to create a publicly available toolkit that enables efficient, accurate clustering of datasets with billions of entities. Key focus areas include new algorithms for graph construction and...
This $363,931 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research project between multiple institutions to develop scalable clustering algorithms for processing large datasets. The goal is to create new clustering algorithms that can efficiently group billions of data points into meaningful clusters, addressing the limitations of current methods. The work will produce an...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award provides $364,000.00 to the Massachusetts Institute of Technology (MIT) from October 1, 2024 to September 30, 2028. The project aims to develop scalable, high-performance graph-based clustering algorithms capable of efficiently processing massive datasets with billions of entities. Key objectives include creating new algorithms for graph clustering and...
The University of Massachusetts Amherst was awarded a three-year, $359,996 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: CNS CORE: MEDIUM: DYNAMIC DATA-DRIVEN SYSTEMS - THEORY AND APPLICATIONS." The NSF Computer and Information Science and Engineering program supports investigator-initiated research and education across computing, communications, and...
The University of Massachusetts received a $849,885 project grant award from the National Science Foundation Division of Information and Intelligent Systems. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070) and will fund research on probabilistic box embeddings from October 1, 2021 to September 30, 2025. The grant aims to support investigator-initiated research and education in computing and information science fields, as well as advance the...
This $245,939 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA #47.070) program supports a theoretical exploration of efficient and accurate clustering algorithms for Penn State University. The 5-year project aims to create a unified framework and develop new tools and techniques to design optimal approximation algorithms for a range of NP-hard clustering problems. This work is expected to have a direct impact on data...
The University of Massachusetts was awarded a $600,000 Project Grant from the National Science Foundation Division of Computer and Network Systems. The grant falls under the official federal Computer and Information Science and Engineering program (CFDA 47.070) and will fund research related to "COLLABORATIVE RESEARCH: CNS CORE: MEDIUM: MIVIRTUALSEAT: SEMANTICS-AWARE CONTENT DISTRIBUTION FOR IMMERSIVE MEETING ENVIRONMENTS" from October 1, 2021 through September 30, 2024....
This $299,996 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop novel distributed processing algorithms and frameworks for analyzing massive datasets. The key objectives are to create iterative algorithms that can effectively handle distributed, dynamic, and stochastic data processing scenarios, going beyond the limitations of synchronous, error-free data processing. The...
The University of Massachusetts Dartmouth received a $149,314 Project Grant award from the National Science Foundation on March 1, 2022 to support research activities concluding on February 28, 2023. The grant was awarded under the Computer and Information Science and Engineering program (CFDA 47.070) to integrate land and sea approaches for building coastal resilience and ecosystem services within sustainable urban-rural systems. As the prime awardee, UMass Dartmouth will leverage the funding...
The University of California, San Diego received a $489,206 Project Grant award from the National Science Foundation on June 1, 2021 to support research titled "SMALL: NEW DIRECTIONS IN CLUSTERING: INTERACTIVE ALGORITHMS AND STATISTICAL MODELS." The award period runs through October 31, 2022. The funding supports the Computer and Information Science and Engineering program, which aims to advance computing, communications, and information science through investigator-initiated...

The National Science Foundation awarded a $116,000 Project Grant to the University of Massachusetts Dartmouth under the Computer and Information Science and Engineering federal grant program (CFDA 47.070).

The two-year award will support research from September 2021 to August 2023 to develop computationally efficient fuzzy clustering algorithms for distributed big data applications. As the parent organization of the awardee, the University of Massachusetts will oversee delivery of research products and services focused on enabling advanced data analytics at scale through innovative clustering techniques. The grant aims to advance the NSF's mission of supporting fundamental computer and information science research and education.

Generated 1/6/24, 2:54 PM