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Home / Horizon Europe / HORIZON-MISS-2027-01-CLIMA-02

Researching and applying the potential of Artificial Intelligence to foster climate resilience at the regional and local levels

Announced, not yet open · HORIZON Research and Innovation Actions · HORIZON-MISS-2027-01-CLIMA-02

Next cut-off
21 Sept '27
in 380 days
Per grant
€3.0M
the call's own average
Grants expected
4
projects that will be funded
Funding rate
100%
the full cost of the action

In context of Horizon Europe

This grant€3.0M
The track runs to the largest grant in Horizon Europe (€171M). The median across the 482 calls we publish is €5.3M, this one is below it.

What this call funds

Expected Outcome:

AI has the potential to support or facilitate virtually every aspect of regions’ climate adaptation efforts. From risk assessment to climate forecasting, from infrastructure planning to resource management, and more. Contributing to the objectives of the AI Continent Action Plan and the EU Mission on Adaptation to Climate Change, projects are expected to contribute one of the following:

  • AI is used to improve actionable climate adaptation knowledge for European regions and local authorities by integrating climate data into decision-making processes.
  • Specific sectors in the selected regions become more resilient to climate change thanks to the use of AI to improve their processes or technologies, while simultaneously advancing their digital transformation.

Scope:

Rationale

Over the past few years, a rapid and disruptive acceleration of progress in Artificial Intelligence has occurred, driven by significant advances in widespread data availability, computing power and machine learning[1]. While the potential of Artificial Intelligence is being uncovered each day and its possibilities are expanding exponentially, such technological revolution can significantly accelerate Europe’s efforts towards climate resilience and contribute to the objectives of the Adaptation Mission.

Considering the ever-changing nature of AI growth, proposals should demonstrate that they go beyond state of the art, they should identify a specific gap that can be addressed by an AI-powered tool, and explain why it would improve existing models, tools or applications or, alternatively, justify the need to develop entirely new solutions.

In particular, the proposal should address one of the following two objectives:

Objective 1: “AI for more accessible data”

Trimmed here, the full scope, expected outcomes and award criteria are on the official topic page ↗.

What applying costs you

ItemEstimateNote
Drafting effort6–8 weekssingle submission
Partner search4–8 weeksruns in parallel, and it is the part that slips
Time to first payment6–9 monthscut-off → evaluation → grant agreement

These are Bemzu's estimates from the call's structure (the number of stages and whether a consortium is required) not figures published by the Commission. Only the co-financing share is read from the call itself.

Where these conditions come from

Two kinds of row. Most are the sentence we read the condition from, quoted out of the call itself. Some say plainly that they are not a quotation but the programme's own rule for this type of action, the EU portal publishes a table of contents where the conditions should be, so for a Research and Innovation Action the rate comes from the rulebook rather than from the fiche.

ConditionQuoted from the call, or the rule behind it
Consortium sizeNot quoted from this call — Research and Innovation Actions under the Horizon Europe rules are at least three independent legal entities from three different Member States or Associated Countries, at least one established in a Member State.
Funding rateNot quoted from this call — Research and Innovation Actions under the Horizon Europe rules are funded at 100% of eligible costs for every participant.

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