Project Grant 2508747
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $103K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Tampa, FL 33606, USA
Similar Awards
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides $481,026 to the University of Arizona to use artificial intelligence (AI) to detect a large sample of the faintest and smallest galaxies in the universe. The research team will analyze vast datasets from advanced astronomical observatories, including the Rubin Telescope, to discover a statistically significant sample of elusive distant dwarf galaxies. The...
- This Project Grant award from the National Science Foundation's (NSF) Division of Astronomical Sciences, under the CFDA program "Mathematical and Physical Sciences", will provide $558,686 to Trustees of Dartmouth College over a 3-year period starting on September 1, 2025. The award will support collaborative research to use artificial intelligence (AI) to detect a large sample of the faintest and smallest galaxies in the universe. The research team will analyze vast astronomical...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $395,378 to the University of Delaware to develop software using machine learning and artificial intelligence (AI) methods to detect anomalous phenomena in the data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). The project will include new methodologies for unveiling novel astrophysical objects and phenomena in the LSST data, as...
- The National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences awarded a $228,435 Project Grant to The Johns Hopkins University to develop a toolkit of understandable machine learning (ML) methods for interpreting detailed optical galaxy surveys from the Rubin Observatory and Dark Energy Spectroscopic Instrument. This 3-year award, running from September 1, 2023 to August 31, 2026, aims to: 1) produce a statistical census of cosmological information at small scales,...
- The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $560,085 Project Grant to the University of California, Santa Cruz (UCSC) to apply an artificial intelligence/machine learning (AI/ML) model called MORPHEUS to analyze and classify astronomical objects in large-scale, public astronomical imaging surveys. The goals of this 3-year project are to further the understanding of the connection between galaxy morphology and the underlying physics of galaxy formation, as...
- This $457,976 Project Grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a novel framework for constraining models of baryonic feedback in the universe. The research team at the University of Chicago will apply artificial intelligence and machine learning techniques to data from cosmic microwave background and galaxy surveys to gain insights into the...
- This National Science Foundation (NSF) Division of Astronomical Sciences Project Grant, CFDA #47.049 Mathematical and Physical Sciences, is funding Drexel University to develop cutting-edge artificial intelligence (AI) systems that will optimize the search for electromagnetic signals accompanying gravitational wave events detected by advanced detectors. The $341,248 project, running from September 1, 2023 to August 31, 2026, aims to create an AI agent that can adaptively learn to make the best...
- The National Science Foundation Division of Astronomical Sciences awarded a $463,511 Project Grant to the University of California, San Diego under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to support collaborative research titled "AI-Enhanced Exascale Simulations of the Earliest Galaxies" from September 1, 2021 through August 31, 2024. The University will utilize artificial intelligence and high-performance computing to conduct exascale simulations...
- This $599,199 National Science Foundation award under the Mathematical and Physical Sciences program will fund development of tools and infrastructure to characterize discoveries from the Vera C. Rubin Observatory's Legacy Survey of Space and Time. Led by Las Cumbres Observatory Global Telescope Network, Inc., the team will build software to model populations of exoplanets, stars, and black holes detected by the LSST survey in real time. This includes algorithms to prioritize microlensing events...
- This $539,342 Project Grant award from the National Science Foundation's (NSF) Division of Astronomical Sciences will support research into the unexpectedly high number of bright, rapidly star-forming galaxies observed at the cosmic dawn. The award recipient, Princeton University, will conduct simulations and analytical modeling to understand the physical conditions that could explain these observations, particularly in the context of massive dark matter halos at high redshift. The research aims...