Neutral-Atom Platform Technologies
This action aims to establish European leadership in neutral-atom quantum simulation and digital quantum computing by delivering: • Fully programmable industry-ready quan…
Horizon Europe · European Union
Full title in the source: Enhancing decision support system for disaster crises: leveraging emerging technologies for improved civil preparedness and crisis management
Opens 5 May 2027
The EU's Horizon Europe programme expects to make 3 awards of €3 million each, from a total budget of €9 million. Applications close on 4 Nov 2027 (EU calls usually close at 17:00 Brussels time). Organisations in EU member states and Horizon Europe associated countries such as Türkiye can usually take part; the topic conditions control.
Project results are expected to contribute to some or all of the following expected outcomes:
• Development of decision support systems for disaster crises, utilizing near real-time data from the ground to enhance situational awareness and response;
• Creation of systems designed to bolster civil preparedness, that enhance operational efficiency and response times, ensuring timely and effective management of various disaster scenarios including from early warning to early action
• Integration of advanced data analysis and decision-making tools to support authorities and first responders in disaster situations.
This topic focuses on enhancing existing decision support systems for disaster crises by integrating emerging technologies to improve civil preparedness and crisis management. The objective is to advance the capabilities of existing systems, making them more reliable, adaptable, and efficient through the incorporation of trustworthy AI technologies that ensure transparency, accountability, and ethical decision-making processes. Projects should aim to enable quicker and more informed responses during disaster scenarios.
Proposals should focus on creating advanced systems designed to strengthen civil preparedness, helping authorities and responders manage various disaster situations in a timely and effective manner. These systems should leverage cutting-edge AI-driven tools to process large volumes of data, providing actionable insights that improve decision-making during critical moments, such as from early warning to early action. Emphasis should be placed on integrating advanced data analysis and predictive modelling to anticipate disaster developments and guide interventions, while ensuring that the systems are transparent, explainable, and built on principles of trustworthiness, inclusive and gender sensitive and ethical AI use and on secure AI deployments.
Projects should conduct a stakeholder or market analysis and a roadmap or plan for uptake of the developed methodologies, findings, and technologies to the industry, the research and innovation community, and/or the relevant authorities.
Additionally, test centres should play a key role in this research by increasing their capacity to trial and validate emerging technologies, supporting more effective civil preparedness and crisis response capabilities.
The expected outcome is to create systems that not only enhance operational efficiency and response times but also foster better collaboration among stakeholders, including local authorities, emergency services, and other relevant actors. This includes integrating drones with state emergency vehicles, smart traffic systems, and law enforcement to enhance data driven disaster preparedness and emergency response, ensuring effective coordination and faster decision-making for local authorities.
Projects should also contribute to improving the usability and accessibility of decision-support systems for diverse users, ensuring they are easily integrated into disaster management frameworks and can be used effectively in different crisis situations. The solutions should align with EU guidelines on AI ethics [1] and resilience-building, ensuring they complement existing civil protection and crisis management initiatives while driving innovation in disaster risk reduction. The Preparedness Union Strategy is a key document in this regard. Analysing the capacity gaps of the UCPM [2] and finding synergies with projects from operational grants, such as the Knowledge for Action in Prevention & Preparedness (KAPP) [3] , is recommended.
In this topic the…
Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule).
Applicant categories are a starting point. The official call decides eligibility.
Disaster resilience and crisis management First responders Policy and Support Security Situation awareness & assessment (surveillance) advanced data analysis and decision-making tools civil preparedness crisis management decision support system for disaster crises disaster resilience early warning to early action emerging technologies first responders real-time data situational awareness and response
Single-stage call. Next deadline 2027-11-04. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).
| Fact | Value | How we know | Taken from the source |
|---|---|---|---|
| Deadline | 4 November 2027 “Single-stage call. Next deadline 2027-11-04. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).” | official data field | 15 Nov 2026 |
| Amount per applicant | Unknown — not stated in the source we hold | unknown | — |
| Total budget | €9 million | official data field | 15 Nov 2026 |
| Funding rate | 70% for companies, 100% for non-profits | programme standard rule | 15 Nov 2026 |
| Who can apply | Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule). | programme standard rule | 15 Nov 2026 |
| Where to apply | Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route. | read from the official text | 15 Nov 2026 |
Facts on this page come from the funder’s official data, taken on 14 Nov 2026. The funder's own documents, including later amendments, always take precedence.
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