The National Science Foundation Office of International Science and Engineering awarded a $200,000 Project Grant to the University of Chicago to develop responsible artificial intelligence systems to support effective climate change policymaking through 2026. Funded under the CFDA 47.079 International Science and Engineering program, this collaborative research between U.S. and Australian researchers aims to bridge information gaps between publicly available climate change data and actionable...
The National Science Foundation (NSF) awarded a $660,984 Project Grant under the Geosciences program (CFDA 47.050) to Brown University. The grant, titled "CAIG: Navigating the Climate Science Deluge: Training Language Models to Assist in Comprehensive Assessments," aims to develop an artificial intelligence (AI) climate science chatbot assistant to help researchers more efficiently review and summarize the growing body of climate research literature. The project will create new methods...
The National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA #47.075) program awarded Northwestern University a $100,000 Project Grant to plan for the creation of an interdisciplinary center that would study the social and behavioral aspects of climate change. The planning will involve meetings of experts from disciplines including psychology, sociology, and environmental science to explore how people receive, process, and respond to information about climate change....
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) has awarded a $100,000 project grant to the University of Oklahoma for the project "Ethical and Responsible Artificial Intelligence for Earth Sciences". This 3-year project aims to address challenges around bias in AI systems used for weather and climate modeling. Key activities include: Extending categorization of biases in AI for earth sciences to enable...
This $225,351 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of AI emulator tools for improving the estimation of statistics for rare and extreme climate events, such as heat waves and cold spells. The project, led by New York University (NYU), will focus on creating novel methods to leverage AI techniques to better model and predict the impacts of these...
The National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program awarded a $100,000 Project Grant to the University of Massachusetts Boston. The grant will fund a one-year planning project to establish the Climate Inequality and Integrative Resilience (CLIIR) Center, which will aim to advance scientific knowledge on the links between inequality and climate resilience to inform climate resilience policy decisions. Key planned activities include expanding...
The National Science Foundation (NSF), through its Geosciences Program (CFDA 47.050), awarded a $129,436 Project Grant to the University of Illinois to convene an international summit in Fall 2024 to discuss the feasibility of creating a special-purpose computational system for frontier Earth system science and climate projection. The scientific objectives of this project are to bring together international leaders from academia, industry, government, and non-profit organizations to examine...
This $175,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) aims to holistically measure and understand the social and environmental impacts of artificial intelligence (AI) technologies. The grant will establish a collaborative research hub to co-design frameworks for assessing AI's environmental impacts, particularly on land, energy, water use, and community life. Through participatory research methods, the...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Massachusetts (UMass) to investigate distributed machine learning for climate modeling and weather forecasting. Through this EAGER (EArly-concept Grants for Exploratory Research) award, UMass will leverage existing testbeds, including the CASA radar network, to support the development of a National Discovery Cloud for Climate...
This $250,000 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 California, Los Angeles (UCLA). The project aims to develop generative artificial intelligence (AI) frameworks to aid scientific reasoning and accelerate sustainable development. Specifically, the grant will fund the creation of new generative AI architectures, objectives, and techniques to efficiently...