Advancing Research and Discovery: GenAI Training for Environmental Scientists 

Co-PIs: Li Kui (University of California, Santa Barbara), Sarah Elmendorf (University of Colorado), Stevan Earl (Arizona State University), Nick Lyon (National Center for Ecological Analysis & Synthesis (NCEAS); Long Term Ecological Research (LTER) Network Office), Nate Emery (University of California, Santa Barbara)

Generative Artificial Intelligence (GenAI) tools such as ChatGPT, Google Gemini, and GitHub CoPilot are rapidly transforming environmental science, yet many researchers lack a foundational understanding of these tools and the time or resources to learn them. To bridge this gap, we propose “AI in a Day”: a suite of open-access, community-driven training modules that equip environmental scientists to integrate AI effectively and responsibly into their research. Delivered through ESIIL workshops, conferences, and online platforms, modular materials will provide practical, up-to-date guidance that democratizes AI knowledge and empowers scientists across career stages to engage fully in the evolving landscape of AI-enabled environmental science.