Synthetic Data Generation for Algorithm Training

The contract involves generating synthetically labeled screening data through the use of simulation tools with the goal of augmenting existing real-world datasets, which will be utilized for the training and testing of algorithms. This effort aims to enhance the quality and robustness of algorithm development by providing additional, well-structured data that can improve machine learning performance in screening applications. The work is positioned as a subcontract under the North American Industry Classification System (NAICS) code 541715, which pertains to research and development services in physical, engineering, and life sciences. Issued by the Department of Homeland Security’s Sci Technology Acquisition Division, the contract is centered around performance in Washington. The solicitation was posted on May 18, 2026, with a response deadline of June 17, 2026, at 6:00 PM. While specific details such as the subcontract type set-aside and point of contact were not provided, the focus on synthetic data generation suggests a specialized requirement geared toward enhancing algorithmic capabilities within homeland security applications.