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Members Warn USDA, NOAA, EPA Cuts and Data Purges Threaten Agrochemical Research and AI Models
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Summary
Several members told the same House subcommittee that recent agency staffing cuts, proposed budget reductions and removal of climate data undermine the public datasets and scientific capacity that AI systems and university researchers need to develop safer agrochemicals.
Members of the House Science, Space, and Technology Subcommittee on the Environment used opening statements and questioning to flag recent federal data removals and proposed science funding cuts as direct threats to AI‑enabled agrochemical research.
Speakers described how AI models depend on long‑running, high‑quality public datasets and on agency science workers who collect, curate and publish those data. They said workforce reductions at NOAA, USDA and EPA and proposed budget cuts to NSF and EPA Office of Research and Development risk degrading the inputs that drive AI models and could slow or invalidate regulatory health assessments.
A member warned bluntly that "No algorithm is better than the data that it runs on," arguing that dismantling data systems will leave farmers "in the dark." Representative Lofgren, the committee ranking member, told the panel that the fiscal year 2026 proposed budget "essentially eliminat[es]" EPA's Office of Research and Development funding and noted the role of ORD's Integrated Risk Information System (IRIS) in producing toxicity and exposure data used in health risk assessments. "Using AI to approve new chemicals without the critically necessary scientific health data to ensure they're safe is not innovation," Lofgren said. "I think that's recklessness."
Witnesses described concrete ways the cuts and data gaps affect their research. Boris Cameletti said his team needs to sample many fields and relies on student and postdoctoral researchers supported by USDA and NSF grants; he said placing proposals on hold has hindered data collection and workforce support. Brian Lutz and other witnesses said their models depend on public climate and phenology data for fungicide‑timing tools and that academic advances build on decades of basic research funded by federal agencies.
Members also cited specific incidents. One representative described a late‑January order to remove climate‑related material from USDA websites; the transcript records that following a lawsuit the Department agreed to restore climate change related content to resource pages. The hearing record includes repeated citations to proposed cuts at NSF (a cited reduction of $4,900,000,000 or about 55% in the discussion) and to reported staffing and service disruptions at NOAA and USDA.
Witnesses and members urged priority for preserving public datasets, sustaining grant programs that support land‑grant extension and university research, and ensuring that AI applications are evaluated against robust, widely available toxicity and exposure data before regulatory decisions. Several members said they would use the open record and follow‑up submissions to press agencies on data restoration and funding decisions.
No formal committee action was taken at the hearing; members left the record open for 10 days for written questions and additional materials.
