Environmental Microbial Baseline Modeling and Data Analysis

The contract seeks to develop predictive models that analyze how environmental and temporal factors affect microbial composition and the accuracy of biothreat detection systems, with the goal of minimizing false positives and false negatives. This work requires rigorous data analysis to establish baseline microbial profiles under varying conditions and to correlate those profiles with detection system performance, enabling more reliable identification of actual biothreats. The models must account for dynamic variables such as seasonal changes, humidity, temperature, and geographic influences on microbial communities. The contract is a subcontract under NAICS code 541690, issued by the Department of Homeland Security’s Cwmd Acq Division, with performance required in Springfield, zip code 22150. Proposals must be submitted by May 28, 2026, at 9:00 PM ET, following the public posting on May 7, 2026. No set-aside designation is specified, and the solicitation number is not provided. The effort is focused on advancing analytical capabilities for environmental surveillance systems, particularly those used in biosecurity applications, and the resulting models are expected to improve system reliability and reduce operational errors in real-world detection scenarios.