The National Science Foundation awarded a $581,783 Project Grant to the University of Washington under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research titled "CAREER: NEW APPROACHES TO MANAGING LIFECYCLES OF DIGITAL KNOWLEDGE COMMONS" from April 1, 2021 through March 31, 2026. The grant funding will support the University of Washington's investigation into new techniques for managing the lifecycles of digital materials shared...
The National Science Foundation awarded a $499,945 project grant to the University of Washington from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research investigating lower bounds on the complexity of concrete computational problems. The Computer and Information Science and Engineering program aims to advance computing and communication sciences and engineering. This award furthers that goal by...
This National Science Foundation (NSF) award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $279,614 to Washington State University from Aug 1, 2023 to Jul 31, 2028 to develop a full-stack implementation methodology for expressive programming systems that bridge the gap between high-level specifications and high-performance implementation of complex reasoning tasks at scale. The project aims to extend declarative programming languages to structured,...
This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports a collaborative research project titled "A Full-Stack Approach to Declarative Analytics at Scale". The $1,164,216 award to Washington State University (WSU) will investigate methodologies for scaling up expressive declarative programming systems to enable high-performance reasoning and analytics on next-generation...
This $400,000 National Science Foundation Project Grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), will support the development of statistical methods and machine learning techniques for analyzing complex structured and count data. Over a three-year period ending in August 2025, the University of Washington will advance the state of knowledge in big structured and count data analysis through two tracks of research. The first track will focus on revising and...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $600,000 in funding to the University of California, Berkeley (UC Berkeley) to conduct research on streaming algorithms and data sketching. The project aims to make progress on fundamental problems in streaming, such as heavy hitters, quantiles, moment estimation, and sampling from data streams. The work will involve developing...
The National Science Foundation awarded a $275,000 Project Grant to the University of Texas at Austin under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support the development of program synthesis techniques to help software developers manage schema changes to databases. The project aims to simplify the schema modification process through automated techniques for migrating data between formats and updating code to reflect schema...
This Project Grant award of $376,103 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research and development of practical, space-efficient, and adaptive data filtering techniques. The award recipient, Northeastern University, will focus on two key goals: 1) designing a high-performance adaptive filter with strong theoretical guarantees, and 2) integrating the adaptive filter into databases,...
This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
The National Science Foundation (NSF) awarded a $327,311 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to Trustees of Dartmouth College to conduct collaborative research on connections between optimization methods and property testing for processing large data sets and developing accurate predictive models. The three-year project, which began on April 1, 2024, aims to discover mathematical relationships between sublinear...