This Project Grant award of $128,523 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative Citizen Science Cyberinfrastructure (CSCI) to enable more efficient data analysis and scientific discovery across disciplines. The key goals of this 4-year project, led by the University of Florida in collaboration with several partner institutions, are to: (1) integrate advanced mapping and data...
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program, provides $276,648 to the Adler Planetarium in Chicago, Illinois to investigate strategies for optimizing human-machine collaboration in citizen science projects. The key objectives of this 2-year project are to: (1) improve the classification efficiency of known data types across multiple domains, including for sparsely represented classes,...
This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of a Citizen Science Cyberinfrastructure (CSCI) to enable scientific discovery across disciplines. The $2,140,536 award, effective October 1, 2025 through September 30, 2029, aims to: Integrate mapping infrastructure into the Zooniverse citizen science platform to accelerate accurate processing and curation of complex...
This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of a Citizen Science Cyberinfrastructure (CSCI) to enable scientific discovery across disciplines. The $1,296,125 project, led by the Adler Planetarium in collaboration with the University of Minnesota, University of Oxford, University of Florida, and Northern Arizona University, aims to integrate mapping...
This Project Grant award of $125,020.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative Citizen Science Cyberinfrastructure (CSCI) to enable scientific discovery across disciplines. The award, effective October 1, 2025 through September 30, 2029, is led by Northern Arizona University in collaboration with the Adler Planetarium, University of Oxford, University of Florida, and Florida...
This $207,737 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop a new class of machine learning models called "Programmatic Foundation Models" that can efficiently analyze large-scale satellite, aerial, and ground imagery. The goal is to create interpretable, robust AI models that can understand global and local phenomena from images, providing insights...
This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop machine learning models that can capture an agent's dynamic decision-making behavior based on structural constraints. The goal is to create a deeper understanding of how agents, whether human or machine, make decisions over time in changing environments. The research will explore methods for learning these...
This Project Grant award of $450,000 from the National Science Foundation's Engineering program (CFDA 47.041) will support research on bi-level optimization for hierarchical machine learning problems. The award to the Regents of the University of Minnesota, conducting the work through their Office of Sponsored Projects Administration, aims to develop new approaches for modeling, analyzing, and innovating on a wide array of emerging machine learning applications using bi-level optimization...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to democratize the use of large visual learning models by reducing the computational, data, and expertise requirements needed to create and deploy such models. The $1.2M award to Georgia Tech Research Corporation will fund research on specialized learning approaches for fast model customization with limited data, efficient inference algorithms...
This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...