Meta AI (FAIR) Research RFPs

Meta AI FAIR RFP — Diplomacy

Funds human-AI diplomacy research to improve collaboration and negotiation systems.

Meta AI's Fundamental AI Research (FAIR) team issues standalone Requests for Proposals separate from the broader Meta Research Awards channel. FAIR RFPs are academic cash grants directed at research questions central to Meta's open AI research agenda. The RFP active as of mid-2026 invites research on human-AI cooperation through natural language, using the Diplomacy board game as the foundational experimental environment. Diplomacy is chosen because it requires multi-party negotiation, strategic communication, and coalition-building — capabilities that present challenges distinct from two-player or single-agent settings.

Award amounts and submission deadlines are not published on the FAIR RFP landing page; those details appear on individual RFP sub-pages once a call formally opens. Historically, FAIR awards in the $50,000–$100,000 range have been consistent with Meta Research Awards norms across the broader program. Eligibility follows the same academic-institution model used across Meta's research funding — full-time faculty at accredited universities, with awards paid as grants to the institution. Recently closed FAIR RFP themes include No Language Left Behind, Machine Learning, Dynabench, and Mephisto, indicating an active cycle of rotating research questions.

The FAIR RFP program operates independently from research.facebook.com/research-awards and should be monitored separately at ai.meta.com/research/request-for-proposals. Proposals responding to the Diplomacy theme should demonstrate how natural-language models can be evaluated on negotiation and cooperation benchmarks, and should engage with the specific experimental affordances of the Diplomacy environment as described in the individual RFP sub-page.