Teacher of the Year Award

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.

NOLAI, the Dutch national education lab for AI hosted by Radboud University, opened this call on 19 October 2026. It seeks one research partner and one EdTech partner to co-create and evaluate an AI prototype for oral Dutch language education. The target pupils are primary school children who have lived in the Netherlands for less than two years. The tool supports Spontaneous Language Analysis: it transcribes pupils' speech literally, keeping pauses, home-language elements and imprecise pronunciation. It then analyses pronunciation, form and content using a decision tree or categorisation framework developed during the project. Research questions cover how useful the analysis is to teachers planning targeted interventions, how vocabulary relates to text comprehension, and how the approach builds pupils' confidence in speaking. Schools in Friesland and Zeeland are the co-creation partners, and NOLAI coordinates the project and funds the co-creation process, though no amount is published. Applications go through an online form, and shortlisted applicants are interviewed in weeks 48-49 (late November to early December 2026). Applications close on 18 November 2026.