This I-Corps project is based on the development of flood sensor technology that can be used to measure street-level flooding and provide actionable data to municipalities in real time. Flooding is a significant problem that requires data-driven interventions to mitigate its impact on urban areas. However, quantitative data on flood frequency, depth, and duration that are required for real-time response as well as the design of flood mitigation programs are not available in most municipalities across the United States. This flood sensor technology was developed to address this data gap and support the design of interventions for flood resilience, emergency planning, and response. The technology has the potential for large-scale societal impact, by providing hyper-local, real-time flood data to city agencies to optimize emergency response and infrastructure planning, ultimately mitigating the risks of property damage and loss of life. In addition, the technology is designed to make flood data accessible to residents, enhancing public awareness and preparedness related to floods. A pilot test of the system is currently underway in New York City, and the model could be scaled to flood-prone cities globally. This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of an urban flood monitoring system. This is a sensor-based technology with supporting network infrastructure and real-