Exploit NSF Public Access Mandates for Flood Data Derivatives
- Organization
- National Science Foundation (NSF)
- Sector
- Insurance Companies, Disaster Response Agencies, Research Institutions
- Location
- United States
Source reference
Executive summary
Current state
NSF awarded ISEECHANGE, Inc. $304,018 in SBIR Phase I funding to develop deep learning for flood mapping from unstructured photos, creating a commercial gap between their research capabilities and the insurance/disaster response markets that need operational tools.
Market catalyst
NSF's public access mandate requires ISEECHANGE to release their research data publicly, but academic datasets are typically poorly documented and in research-specific formats, creating a gap for commercial-grade, production-ready derivatives that insurance companies and disaster agencies will pay for.
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