Request for Information (RFI) on Mobilizing Talent for the Genesis Mission and Developing an American Workforce to Advance Artificial Intelligence (AI) for Science and Engineering (RFI Number: DE-SC-26-016)

The U.S. Department of Energy, Office of Science (SC Oak Ridge Office) issued RFI DE-SC-26-016 requesting stakeholder input on workforce development and training initiatives to support the Genesis Mission and to build an American workforce proficient in AI for science and engineering. Responses are voluntary market-research information (not a solicitation for award), limited to five pages, and must be submitted electronically to AIResearchandTrainingInput@science.doe.gov by March 4, 2026. The RFI seeks input on educational partnerships, degree-program design, experiential learning, and scalable strategies to create pathways for students and workers into AI-enabled scientific and engineering careers.

The Department of Defense is seeking information on commercial off-the-shelf platforms and services that use automation, artificial intelligence, and machine learning to accelerate and scale Zero Trust assessments across the DoD enterprise. The goal is to automate and enhance Zero Trust assessment processes, including simulating attack scenarios, prioritizing potential attack paths, and generating comprehensive assessment reports and recommendations. Vendors are asked to provide information on tools and approaches that enable continuous assessment and improve ZT Purple Team capabilities.

This Request for Information (RFI) from Broward County's FASD - Purchasing seeks to determine the availability of multiple providers for a Vimeo Enterprise Subscription or alternative commodities/services that meet the County's needs. It is not a request for pricing or a purchase commitment. The RFI was posted on January 16, 2026, and responses are due by January 26, 2026.

Seeks concepts that provide both enterprise-level standardization and the flexibility to accommodate mission-specific validation requirements, while minimizing duplicative or conflicting proesses. DIA believes that effective AI TEVV must address a spectrum of system types supporting analysis, collection, operations, targeting, and business management, amongst others. Each category may require tailored TEVV approaches while maintaining consistency with overarching standards and enterprise governance. Furthermore, AIEC supporting DIA may span from development/training environments through operational deployment across multiple security domains (NIPRNET, SIPRNET, JWICS, etc..) and classification levels. Solutions must account for testing and validation requirements across this continuum, including appropriate isolation, data management, and security onsiderations for each domain. Lastly, DIA is particularly interested in TEVV capabilities that incorporate automation to enable continuous testing and evaluation throughout the AIEC’s lifecycle, from development through deployment and operational monitoring. See attached file.