Emergent Ventures Fellowship for AI Innovation and Entrepreneurship

Don Lavoie Fellowship is sponsored by Mercatus Center at George Mason University. A competitive, renewable, and online fellowship program for advanced undergraduates, recent graduates considering graduate school, and early-stage graduate students. It is open to students from any discipline interested in studying key ideas in political economy, especially the Austrian, Virginia, and Bloomington schools, and learning how to utilize these ideas in academic and policy research.

The Farm Robotics Challenge is a student competition rather than a research grant, and the distinction determines who should spend time on it: the money flows to teams of enrolled students working under a faculty or teacher advisor, not to principal investigators, and the deliverable is a working robotic system demonstrated in an agricultural setting rather than a paper. Organized by UC ANR Innovate with the NSF-USDA AI Institute for Next Generation Food Systems and backed by California's Jobs First initiative, the challenge asks teams to build autonomous systems or robotic attachments addressing real production tasks - planting, weeding, harvesting, pest management, field mapping and data collection. Total prize funding exceeds $100,000, anchored by a $50,000 Grand Prize presented by The Reservoir; in a recent cycle that grand prize was structured as a SAFE investment rather than a straight cash award, which matters because it implies an expectation that the winning team may incorporate, and teams uninterested in commercialization should confirm the current cycle's award instrument before entering. Three divisions keep the competition tractable across education levels: Division I for four-year universities with a cap of 50 percent graduate students per team, Division II for community colleges and trade schools, and Division III for middle and high school teams in grades 7 through 12. Every team requires an advisor, typically faculty, staff, a graduate student or a teacher. The cycle runs long, which is the main planning consideration - pre-registration opens August 3, 2026, project proposals are due November 13, 2026, final projects are due May 2, 2027 and awards are presented in June 2027, meaning roughly nine months of sustained student effort across two academic terms. Scale is real: a recent edition drew 96 teams from 13 countries. This is a good fit for agricultural engineering, robotics and CS programs seeking a structured capstone with industry exposure, and a poor fit for anyone looking for research funding on a normal grant timeline.

The MIT Generative AI Impact Consortium (MGAIC) is a presidential initiative that funds interdisciplinary research applying generative AI to improve human work, creativity, and wellbeing. Through recurring seed grant rounds, it supports MIT faculty and research teams across four funding tiers (up to $50K, $150K, $300K, plus member company-directed projects), anticipating up to 60 funded projects per round. Work spans foundation models, LLMs, and multimodal generative AI applications, supported by industry member companies including OpenAI, Analog Devices, Coca-Cola, InterSystems, SK Telecom, Tata, and TWG Global.

The MIT Generative AI Impact Consortium (MGAIC) funds seed research across MIT advancing generative AI, foundation models, and their societal implications. The consortium anticipates funding up to 60 projects across four classes: Exploratory projects up to $50,000, Innovation projects up to $150,000, Flagship projects up to $300,000, and company-directed projects sponsored by member companies. The 2026 call had a Notice of Intent deadline in March 2026 and a proposal deadline of April 6, 2026, with the program recurring in future cycles.