Workforce AI Tools for Montana Wildfire Prevention
GrantID: 75917
Grant Funding Amount Low: Open
Deadline: Ongoing
Grant Amount High: Open
Summary
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Grant Overview
Montana’s wildfire prevention technology initiatives require specialized workforce capacity that state universities currently lack at scale. The University of Montana and Montana State University maintain fewer than 35 full-time research staff with documented experience running large-scale fire-behavior simulations on GPU clusters. This shortage directly limits the frequency of ensemble forecasts that ingest satellite imagery, fuel moisture data, and real-time wind observations across the state’s 93 million acres of forested and rangeland terrain.
Most qualified personnel are concentrated in Missoula and Bozeman, leaving eastern and southwestern field offices without local modeling support. Seasonal technicians hired through the Department of Natural Resources and Conservation typically possess only basic scripting skills, insufficient for customizing high-performance computing workflows or maintaining pretrained convolutional models that classify burn severity from Landsat and Sentinel-2 archives.
The technology support program supplies remote GPU allocations and dedicated technical staff hours to Montana applicants. It provides optimized containers for fire-spread modeling and grants access to curated datasets of historical ignition points maintained by the Northern Rockies Fire Science Network. Letters of support included with successful applications have expedited additional funding from the Joint Fire Science Program.
Proposals must name at least one Montana-based co-investigator with prior publication record in computational forestry or atmospheric modeling. Budgets cannot exceed 18 percent for personnel; the majority must cover compute cycles and software licensing. Reviewers verify that submitted code runs on the provided hardware within 72 hours of allocation.
Strongest applications originate from teams already partnered with the Montana Department of Environmental Quality or the U.S. Forest Service’s Missoula Fire Sciences Laboratory. These collaborations supply the necessary validation datasets and field crews for model ground-truthing. Unlike Idaho or Wyoming projects, Montana submissions must quantify seasonal workforce turnover rates exceeding 45 percent and outline mitigation steps.
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