Advanced Placement (AP), and International Baccalaureate (IB) Science, Technology, Engineering, and Math (STEM) Grant

ATE is the largest federal program aimed squarely at educating technicians for high-technology fields, and the FY2026 competition is the practical vehicle for community colleges building artificial intelligence technician pathways. The solicitation is explicit that emerging areas such as artificial intelligence and quantum information sciences are expected to be supported as industry defines its needs for skilled technical workers, which means an AI technician program - data annotation and pipeline work, model deployment and MLOps support, AI-enabled maintenance and inspection, prompt and agent operations - is squarely fundable rather than a stretch. The defining structural requirement, and the one that most often derails outside applicants, is that faculty from two-year institutions of higher education must hold significant leadership roles on all projects. A university or nonprofit can participate, but the community college has to lead in substance, not on paper. The second requirement is a genuine industry partnership: ATE exists to align curriculum with employer demand, and proposals without documented employer commitments to advisory boards, work-based learning placements or hiring do not compete. Four tracks accommodate very different scales, from Track 1 small-scale projects at up to USD 475,000 through Track 4 ATE Centers at up to USD 7,500,000 over five years, and the program encourages proposals from Minority Serving Institutions and work that supports recruitment, retention and completion of diverse talent in associate-degree technician programs. The FY2026 full proposal deadline is 1 October 2026 by 5:00 PM submitter local time, with the deadline recurring on the first Thursday in October annually thereafter.

This Horizon Europe Cluster 6 topic funds AI systems that deliver advisory support to farmers and foresters, and it sits deliberately under the GOVERNANCE destination rather than under a digital or technology heading - a placement that signals what the Commission is actually buying. The interest is not in advancing agricultural machine learning as such but in the advisory system: how AI-generated recommendations reach farm and forest managers, how they interact with existing extension services and Agricultural Knowledge and Innovation Systems, whether practitioners trust and act on them, and whether the resulting decisions demonstrably improve competitiveness and sustainability outcomes. Consortia that propose a strong model with a thin socio-institutional work package tend to be mismatched to the call. Indicative funding is approximately EUR 5-6 million per project for two projects, sized as a Research and Innovation Action - large enough to require a multi-country consortium and multi-actor design, which for Cluster 6 means genuine involvement of farmers, foresters, advisors and advisory organizations as partners rather than as study subjects. Standard Horizon Europe rules apply: consortia must include at least three independent legal entities from three different EU member states or associated countries, with RIA funding at 100 percent of eligible direct costs plus 25 percent flat-rate indirect costs. The important scheduling caveat is that despite appearing in the 2026-2027 work programme this topic is designated for a 2027 call, so it belongs on a watch list rather than in an immediate submission plan; typical Cluster 6 timing opens calls in the autumn or winter with deadlines in the following February, but applicants must confirm the actual opening and deadline against the topic page on the EU Funding and Tenders Portal, since the draft work programme dates shift before final adoption. Teams intending to compete should use the lead time to assemble the advisory-sector partnerships that this topic rewards.