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As 2025 draws to a close, one of the most consequential, but least publicly discussed, shifts in federal environmental governance has been the quiet expansion of artificial intelligence (AI) behind the scenes across multiple federal agencies. AI tools are not new in federal science programs, but 2025 marked a turning point: agencies began integrating machine-learning models into routine workflows in exposure modeling, surveillance, enforcement targeting, and environmental monitoring. The White...

Download transcript. This week I had the pleasure of speaking with Greg Gartland, Chief Executive Officer of 3E. We discuss 3E’s business offerings, how it defines its place in the very competitive world of chemical information management, the role artificial intelligence has in this space, and trends Greg sees driving growth in chemicals, product stewardship, and sustainability. ALL MATERIALS IN THIS PODCAST ARE PROVIDED SOLELY FOR INFORMATIONAL  AND ENTERTAINMENT PURPOSES. THE...

The National Science Foundation Directorate for Technology, Innovation and Partnerships (NSF TIP) announced on August 7, 2025, an investment of nearly $32 million to five teams across the United States through the NSF Use-Inspired Acceleration of Protein Design (NSF USPRD) initiative. NSF states that the initiative “aims to accelerate the translation of artificial intelligence [(AI)]-based approaches to protein design and enable new applications of importance to the U.S. bioeconomy.” NSF...

On June 23, 2025, the White House Office of Science and Technology Policy (OSTP) announced that it issued agency guidance for implementing Gold Standard Science in the conduct and management of scientific activities. As reported in our June 5, 2025, memorandum, on May 27, 2025, President Trump signed an Executive Order (EO) on “Restoring Gold Standard Science.” The EO restores the scientific integrity policies of the first Trump Administration and “ensures that agencies practice data...

On June 12, 2024, the U.S. Department of Energy (DOE) Bioenergy Technologies Office’s (BETO) Chemical Catalysis for Bioenergy Consortium (ChemCatBio) will hold a webinar on artificial intelligence (AI) for catalysis. BETO states that “AI has the potential to play a crucial role in accelerated catalyst design, discovery, and optimization of chemical processes for decarbonization.” Using AI tools such as machine learning, deep learning, and large language models, “researchers can uncover...