Project Grant 80NSSC24K1537

The U.S. Geological Survey awarded a $499,999 Cooperative Agreement under the Assistance to State Water Resources Research Institutes program (CFDA 15.805) to Cornell University to develop a distributed sensor network that integrates edge-AI and photogrammetric techniques to automate real-time urban flood monitoring and mapping. Key deliverables include: A minimum viable product (MVP) sensor network to map urban pluvial flood extents and depths in real-time, including storm sewer stage...

This Project Grant award, funded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), supports research to develop new technologies that integrate advanced artificial intelligence (AI) and machine learning (ML) with established geoscientific domain knowledge to enhance understanding of landslide causality. The $674,291 award, effective October 1, 2024 through September 30, 2027, will enable the Research Foundation of the City University of New York (RFCUNY) to:...

This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award in the amount of $454,236 to the University of Massachusetts Lowell will advance the field of resilience analytics and enhance the ability of civil infrastructure systems to withstand natural disasters. The key research objectives include: (i) Adapting statistical physics and discrete modeling techniques to predict the type, extent, and functional integrity of damage to structural and non-structural building...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $171,096 to support a collaborative research initiative focused on designing an integrated array of instrumentation to observe subduction zone geohazards in Chile. The goal is to develop a framework for integrated studies that can address the linkages between earthquake, volcanic, tsunami, and landslide hazards in this active subduction zone region. The project will involve teams of experts...

This $773,090 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the establishment of a Cybertraining Network for Geospatial Artificial Intelligence (GeoAI) in Disaster Management. The primary goal is to enable disaster management students, researchers, and professionals to strengthen their capabilities in cyberinfrastructure and GeoAI through collaborative training activities. This will support research...

The National Science Foundation Division of Social and Economic Science awarded a $199,434 Project Grant to The Research Foundation For The State University Of New York to support the project "RAPID: OPERATIONALIZING THE CAPABILITIES APPROACH IN THE CONTEXT OF DISASTER RESILIENCE: MEASURING THE SOCIAL BURDEN OF INFRASTRUCTURE DISRUPTIONS" from May 15, 2021 through April 30, 2022. This Project Grant funding will support research to operationalize the Capabilities Approach framework...

This $257,914 Project Grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will develop a national cyberinfrastructure called the Human Dynamics and Resilience Infrastructure (HNDS-I) to advance disaster resilience research. The key products and services to be delivered include: Developing four new integrated databases from sources like social media and cell-phone mobility data...

This National Science Foundation (NSF) Project Grant under the Geosciences program (CFDA 47.050) will deliver a transformative platform to enhance the resilience of rural electric power utilities against climate change and extreme weather events. The $250,000 award to Iowa State University of Science and Technology, spanning October 2024 to September 2027, will develop digital infrastructure to help utilities address challenges in maintaining electric power operations and service during...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop a semi-quantitative conceptual model for predicting how exchanges with sanitary sewer infrastructure impact water quality in urban streams. The $249,993 project will utilize data from the Atlanta metropolitan area to produce maps of sewer infrastructure conditions and analyze their association with water quality impacts. The research is expected to yield new knowledge to support...

This Project Grant award from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) provides $963,000 to Southern Methodist University (SMU) to prototype a Smart and Resilient Infrastructure (SRI) toolkit. The key activities include developing household- and neighborhood-scale infrastructure and resilience assessments, creating machine learning and statistical models on infrastructure networks and resilience, implementing an...