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ARIA's Forecasting Tipping Points programme aims to build a comprehensive early warning system for climate tipping points by uniting low-cost ocean and atmospheric sensing platforms with physics-informed and AI-driven climate models. The GBP 81M programme focuses on two critical tipping systems - the Greenland ice sheet and the North Atlantic subpolar gyre.
ARIA funds startups, academic teams, and non-profit R&D organisations spanning sensing hardware, machine learning model development, foundation models for climate prediction, and operational forecasting integration. A second funding call is anticipated for September 2026. Strong fit for climate AI labs, ML-for-physics teams, ocean and atmospheric observation startups, and interdisciplinary teams combining ML with geoscience.
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Or search similar grants →According to the current listing, eligibility includes: Open globally to startups, academic institutions, and non-profit R&D organisations. ARIA emphasises bold, high-risk, high-reward research and welcomes consortia with diverse expertise spanning climate science, computer science, mathematics, statistics, and engineering. UK headquarters not required. Confirm the full requirements in the official notice before applying.
The current listing shows GBP 81,000,000 (approximately USD 103,000,000) total programme funding allocated across multiple research and development contracts. Individual project awards range from low hundreds of thousands GBP to multi-million GBP depending on scope. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for ARIA Forecasting Tipping Points Programme for AI-Driven Early Warning Systems for Climate Tipping Points in Greenland Ice Sheet and Subpolar Gyre are due December 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
ARIA Forecasting Tipping Points Programme for AI-Driven Early Warning Systems for Climate Tipping Points in Greenland Ice Sheet and Subpolar Gyre is funded by UK Advanced Research and Invention Agency (ARIA). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
UK ARIA Safeguarded AI Programme for Mathematical and Formal Methods for Quantitative AI Safety Guarantees is sponsored by UK Advanced Research and Invention Agency (ARIA). ARIA's Safeguarded AI programme, led by Programme Director David 'davidad' Dalrymple, funds research combining scientific world models with mathematical proofs to develop quantitative safety guarantees for AI systems comparable to safety assurances in nuclear power and passenger…
Cooperative AI Research Grants is sponsored by Cooperative AI Foundation, Google DeepMind, Schmidt Sciences, UK Advanced Research and Invention Agency (ARIA), and Google.org. A technical research funding call for researchers worldwide, focusing on the study of how large-scale multi-agent AI systems behave as a group, and how to provide frameworks to understand and mitigate potential risks.
Announced on June 11, 2026, this $10 million joint funding call from Google DeepMind, Schmidt Sciences, the Cooperative AI Foundation, the UK ARIA, and Google.org supports research to advance multi-agent AI safety. As autonomous AI agents increasingly interact across digital environments, the call addresses the growing risks of agent collusion, manipulation, market failures, and cascading errors among networks of AI agents. Priority research areas are: (1) sandboxes and testbeds for evaluating multi-agent systems at scale, (2) the science of agent networks (emergent behavior, cooperation, competition), (3) strengthening agent infrastructure (authentication, accountability, communication protocols), and (4) oversight and control mechanisms for agent ecosystems. Tier 1 grants up to $300,000 and Tier 2 grants between $300,000 and $1 million. Open to researchers worldwide. Deadline August 8, 2026. Awardees announced Autumn 2026. Strong fit for AI safety researchers, cooperative AI / game theory / mechanism design groups, and applied agent evaluation labs.
The FY2026 federal funding map has tilted hard toward AI, critical minerals, energy, advanced manufacturing, and workforce development — while a new layer of political review asks whether each award advances administration priorities. Here is a strategic map of where the money is moving, and how to position a proposal for the new alignment screen without distorting the work.
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