Project Grant 2524060
- The National Science Foundation (NSF) awarded a $999,817 project grant under the STEM Education program (CFDA 47.076) to the Concord Consortium Inc., a non-profit research and development organization, for the "The Pelehonuamea Project: Connecting Indigenous Hawaiian History and Computational Geoscience in Teaching Volcanism." The project aims to co-design a technology-rich, integrated geoscience and computer science curriculum module that engages indigenous Hawaiian middle school...
- This federal Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) supports the development and study of an automated feedback system called HAZBOT to enhance middle school students' simulation-based inquiry into natural disasters such as wildfires, floods, and hurricanes. The $3,814,785 award to Concord Consortium Inc., a non-profit research and development organization, will design, develop, and evaluate HAZBOT's use of advanced AI...
- This $348,706 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop and implement a curricular program for middle-school students in community-based settings. The program will focus on building data visualization skills to help students become critical consumers and interpreters of data. The research goals are to provide empirical evidence of middle school students building data visualization practices through learning technologies and to...
- This Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) aims to improve curricula and teaching methods for strengthening undergraduate students' data analysis skills in solid earth geoscience courses. The $310,918 award to Carleton College, effective October 1, 2025 through September 30, 2028, will support the development of upper-level teaching modules focused on using advanced data analysis techniques to explore the mechanical behavior of...
- This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $299,539 to the Georgia Tech Research Corporation to develop advanced machine learning models and algorithms to study the intricate dynamics of earthquakes. The key objectives are to uncover precursory signals that may precede major seismic events, enhance earthquake forecasting capabilities, and create open-source tools accessible to researchers and practitioners worldwide. The...
- This $1,988,720.00 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) supports a collaborative research effort by the University of Colorado at Boulder, University Corporation for Atmospheric Research, and Utah State University. The project will scale and expand the prior NSF-funded STEM Career Connections model across three rural school districts to increase middle and high school students' skills in technology and computing required for technology...
- This $293,356 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) supports a collaborative research project to help middle school teachers customize an integrated science, engineering, and computational thinking curriculum unit. The project aims to understand the supports teachers need to adapt computationally-rich, Next Generation Science Standards-aligned curricular materials for their specific classroom and community contexts. Through this...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $300,001 to Trustees of Boston University to develop a foundational Artificial Intelligence (AI) model for advanced seismic data analysis to improve earthquake detection, localization, and characterization. The project aims to revolutionize earthquake science by using AI to unravel patterns in seismic data, leading to more accurate tools for earthquake monitoring and potential prediction....
- This National Science Foundation (NSF) Project Grant under the Geosciences program (CFDA 47.050) will provide $392,914 to Carnegie Mellon University (CMU) from October 1, 2024 to September 30, 2027 to develop a collaborative research project titled "CAIG: Next Generation Machine-Learning Approach to Decode High-Resolution Earthquake Catalogs." The project aims to leverage advanced machine learning models and algorithms to gain deeper insights into earthquake dynamics and improve...
- This $175,416 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research at Cornell University from August 2022 to July 2024. The university will investigate structure and seismicity within the southern region of the 1964 Great Alaska earthquake rupture zone using data from a dense array of seismic sensors deployed in Kodiak Island, Alaska. Researchers will reanalyze 2019 data from 400 instruments to identify small earthquakes and precisely locate...
This $889,766 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will enable the Concord Consortium Inc., a non-profit research and development organization, to develop a one-week seismology curriculum for Alaskan middle school students. The curriculum will engage students in authentic investigations of their community's natural and human-caused seismic events using practices of professional geoscientists. Key components include: (1) installing scientific-grade seismometers in schools to explore local earthquake occurrence, (2) using machine learning to identify and classify seismic events, (3) creating data visualizations of seismic activity, and (4) constructing block programs to analyze patterns in seismic data. The project aims to promote students' ability to conduct computational science investigations and deepen their understanding of applications of computer science and machine learning in geoscience. Over 3 years starting October 2025, the project will conduct two design-based research cycles to develop the curriculum and an innovative dataflow programming interface.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $889.8k | 9/11/25 |