AI/ML Model Development for Disaster Impact Analysis

The contract seeks the development and deployment of machine learning models focused on geospatial damage assessment, flood prediction, and recovery planning, with an emphasis on model explainability and bias mitigation to ensure transparent and equitable outcomes. These models are intended to support disaster impact analysis by providing actionable insights derived from spatial data, enabling more effective emergency response and long-term resilience planning. The work requires advanced AI/ML techniques capable of processing complex geospatial datasets and delivering interpretable results that can be trusted by decision-makers in high-stakes scenarios. The opportunity is structured as a subcontract under the Department of Homeland Security’s Support Services SECTION (SS40), classified under NAICS code 541715 for Research and Development in the Physical, Engineering, and Life Sciences. The solicitation was posted on July 20, 2026, with a response deadline of July 31, 2026. Performance is expected to be carried out at the location associated with zip code 77270, though other logistical specifics are not detailed. This effort is part of a broader initiative to enhance the federal government’s capacity to anticipate, assess, and recover from disaster events using cutting-edge artificial intelligence tools that prioritize fairness and clarity in algorithmic decision-making.