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DTSTART;TZID=America/New_York:20261014T130000
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SUMMARY:DataBytes: GROW — How Agentic AI is Transforming Grant Discovery and Proposal Development for Researchers
DESCRIPTION:Researchers lose a lot of their working time to administrative tasks. Grant preparation is the biggest offender\, and it compounds: you find opportunities in one place\, reformat proposals for another\, and repeat the cycle across agencies with different requirements. Adam Kiefer (UNC-Chapel Hill Exercise and Sport Science) helped design GROW (Grant Research Opportunity Wizard) to solve this problem. \nGROW is an open-source agentic AI tool developed in collaboration with Amazon Web Services. The tool uses AI agents (powered by Amazon Bedrock) to crawl global funding databases\, match opportunities against a researcher’s expertise profile\, and generate proposal templates already formatted to funder specifications. In this talk\, John Paul Laverde (AWS) and Adam Kiefer will walk through how GROW evolved from a generative AI drafting assistant into a fully agentic discovery and matching system\, demo it live\, and discuss what it means for institutions trying to scale grant competitiveness without scaling headcount. \nKey Takeaways \n\nAgentic AI can reclaim significant time researchers currently lose to manual grant searching and proposal reformatting.\nGROW autonomously discovers and matches global funding opportunities to a researcher’s expertise\, surfacing grants they would never find on their own.\nThe tool is open-source and deployable by any research organization (universities\, government labs\, nonprofits)\, not just well-resourced institutions.\nAgentic AI is meaningfully different from generative AI: GROW doesn’t just respond to prompts\, it acts autonomously on the researcher’s behalf.\nCollaboration between academic researchers and industry partners like AWS can produce tools that solve systemic inefficiencies across the research enterprise.\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-oct-2026/
LOCATION:via Zoom
CATEGORIES:DataBytes
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