Project Grant 2216888
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $200,000 to New York University (NYU) to develop collaborative partnerships and co-identify research questions aimed at using flood sensor data to better understand and predict urban flooding, as well as implement community-level actions toward adaptation and mitigation. The key objectives are to: (1) develop and optimize data processing tools to prepare the flood dataset for actionable...
- This Project Grant award of $199,316.00 from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) aims to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The project, titled "EMBRACE-AGS-SEED: Harnessing the Power of Machine Learning to Generate Ensembles of Regional Climate Projections," will evaluate whether artificial intelligence and machine learning can provide...
- This $999,664 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) supports the development of a novel framework for extracting spatio-temporal features from integrated remote sensing data to create a comprehensive knowledge base for monitoring and mapping flood events. The research aims to enable rapid response and recovery efforts by providing real-time communication between human and robot agents...
- This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I project grant of $274,391 will fund the development of city-scale flood mapping using real-time sensor data. Awarded on September 15, 2022 with a completion date of August 31, 2023, this funding supports research under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). Specifically, the awardee Hyfi LLC will advance new knowledge on the use of advanced analytics to estimate floods at...
- The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to The Research Foundation For The State University Of New York, doing business as Suny ESF, to conduct research on increasing community resilience to inland flooding. The project will collect hyper-local, individual experience data on the response and recovery efforts to Hurricane Helene in western North Carolina to synthesize lessons learned and...
- The National Science Foundation (NSF) awarded a $300,000 project grant under the Geosciences program (CFDA 47.050) to the Illinois Institute of Technology (IIT) to strengthen urban stormwater infrastructure and improve water quality management in Chicago. The project leverages citizen science approaches to collect hydrological data and engage the public, while also developing a training program to prepare the next generation of engineers, scientists, and advocates to address challenges in...
- This National Science Foundation (NSF) Integrative Activities program grant of $189,997 awarded to Iowa State University of Science and Technology will develop a data-driven, physics-informed early warning system to predict flood occurrence and support communities in agriculture-dominated watersheds across the Midwestern U.S. The project will integrate complex watershed characteristics, human land use, and management practices into hydrological modeling to improve flood forecasting accuracy...
- This Project Grant award of $250,000 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of advanced AI-driven tools to help communities across the U.S. better understand and mitigate environmental risks from extreme weather events. The project aims to build an AI model that integrates diverse datasets, including spatial, hazard, and socioeconomic data, to analyze regional environmental risks and community...
- The National Science Foundation (NSF) Office of Integrative Activities awarded a $598,187 Project Grant under the Geosciences program (CFDA 47.050) to the Gulf of Maine Research Institute (GMRI) to develop social and technology infrastructure that expands critical coastal flooding data collection and leverages it to enhance resilience in rural Maine coastal communities. The key products and services to be delivered under this one-year project include: Installation of low-cost tide gauges to...
- The National Science Foundation's Geosciences Program (CFDA 47.050) awarded Northeastern University a $998,696 Project Grant to evaluate how communities have responded to recent floods and develop new tools to help those communities build resilience to flooding hazards. The project will collaborate with community partners to understand what drives flooding at the local scale, how flood hazards evolve under different scenarios, and how communities have responded to past flood events. The...
Iseechange Inc. was awarded a $274,381 Project Grant from the National Science Foundation to develop an integrated methodology for using residents' experiences with flood and other climate change events to validate modeling in real time. Under the NSF Technology, Innovation, and Partnerships program, Iseechange will create a community knowledge platform to process user-generated text and photo data submitted by residents on flood occurrences and severity. This platform will analyze the qualitative data using natural language processing, spatial analysis, artificial intelligence, and computer vision to extract flood characteristics from photos. An application programming interface will also be developed to curate the data for hydrological model developers while protecting intellectual property. When complete, the platform will automatically process hyperlocal user posts in real time to deliver detailed on-the-ground flood data to planners and modelers, allowing infrastructure impacts to be better monitored as hydrological baselines shift. This Project Grant aims to stimulate research at the intersection of data science and civic technology.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $274.4k | 9/13/22 |