Cooperative Agreement 5882202112F4

This $275,008 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create an AI-powered framework that helps designers automatically evaluate the environmental impact of their designs and optimize them for sustainability. The key innovations include: Developing novel graph attention network (GAT) algorithms to extract lifecycle inventory (LCI) data by analyzing similarities with existing designs, addressing the issue of LCI data scarcity....

This $665,898 Project Grant, awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), funds the "COLLABORATIVE RESEARCH: FRAMEWORKS: GROWING OPEN ONDEMAND: LEVERAGING UNIFIED COMMUNITY KNOWLEDGE (GOODLUCK)" project. The project aims to accelerate the adoption and capabilities of the Open OnDemand platform, which enables remote web access to research computing services. Key products and services to be delivered...

This National Science Foundation (NSF) Project Grant, awarded under the Engineering (CFDA 47.041) program, aims to create an AI-powered framework to help designers evaluate and optimize the environmental impact of their product designs. The $274,959 award to Florida International University will implement several key innovations: (1) Develop novel graph attention network algorithms to extract lifecycle inventory data for sustainability analysis by leveraging similarities with existing product...

This $274,192 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of an advanced generative AI toolbox for interactive Life Cycle Assessments (LCA). The primary aim is to create a domain-specific large language model that can process complex, multi-modal data to provide real-time insights into Scope 3 emissions, which are often the most significant part of a company's carbon...

This $300,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (CFDA 47.084) will fund the establishment of an open-source ecosystem for the Interdisciplinary Networked Community Resilience Modeling Environment (IN-CORE) model. IN-CORE is an open-source modeling environment that can comprehensively model a community's physical, social, and economic systems and their complex interdependencies. This Phase I award will support initial focus group...

This $1,599,825 project grant was awarded by the National Science Foundation's Geosciences program (CFDA 47.050) to the University of California, Santa Barbara. The award aims to advance scientific theories and models of land use forecasting by integrating diverse, multi-scale data into dynamic prediction models to inform sustainable land use plans and prevent biodiversity and ecosystem service loss. The research will co-design decision support tools with scientists and policymakers in...

The National Science Foundation Office of Advanced Cyberinfrastructure awarded a $2.56 million Project Grant to the University of Colorado Boulder to support the COLLABORATIVE RESEARCH: FRAMEWORKS: OPENEARTHSCAPE - TRANSFORMATIVE CYBERINFRASTRUCTURE FOR MODELING AND SIMULATION IN THE EARTH-SURFACE SCIENCE COMMUNITIES project. The award, made on October 1, 2021 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will provide funding through September...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant awarded $929,354 to Cornell University to develop the "DELPHI" framework - an end-to-end system that prioritizes environmental impact while designing sustainable edge computing devices like wearables, cameras, and sensors. Through this 4-year project, the researchers will: 1) quantify the environmental impact of edge device components and develop new carbon models, 2) create...

This $193,783 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, under CFDA 47.070, supports the development of new computational methods to simulate and advance the understanding of the dynamic interplay between Earth's surface and interior processes. The award enables the coupling of two widely used community codes - ASPECT for modeling mantle dynamics and long-term tectonic processes, and LANDLAB for simulating...

This $803,970 project grant from the National Science Foundation Office of Advanced Cyberinfrastructure will support the development of a scalable real-time streaming analytics and machine learning framework for geoscience and hazards research. A collaboration between the University of Colorado, University of Oregon, Rutgers University, and UNAVCO will create a data framework to enable generalized real-time streaming analytics and machine learning using over 1,500 sensors from the EarthScope and...