Events

Disaster Resilience Days 2026 - Munich
NOV
Tue
24
NOV
Wed
25
NOV
Thu
26

Starts in 4 weeks from now

Location

Munich (DE)

Residenz & Conference Centre and House of Bavarian Economy, Munich, Germany
Programmes
Civil Security

The Disaster Resilience Days 2026 is a three-day European forum bringing together researchers, policymakers, civil protection authorities, first responders, critical infrastructure operators, security and defence actors, industry, and innovators to strengthen disaster resilience and crisis preparedness through research, innovation and cooperation.

Topics include artificial intelligence in crisis management, hybrid and emerging threats, societal resilience and risk communication, critical communications, drones and counter-drone technologies, insurance and risk financing, critical infrastructure resilience, disinformation and social media, cultural heritage protection, and climate-related extremes such as heat, drought and wildfires.

The programme includes high-level and thematic panels, keynote presentations, breakout sessions, project showcases, demonstrations, excursions, poster and marketplace sessions, technical visits and networking.

For more information and to register, please visit this event page. 

The event is organised by the Bavarian State Ministry of the Interior, for Sport and Integration, the University of the Bundeswehr Munich, and the Disaster Competence Network Austria in cooperation with CERIS (Community for European Research and Innovation for Security).

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Event calendar

 

Testimonial

image of iCARE4CVD: Thomas More participates in research on improving patient care

iCARE4CVD: Thomas More participates in research on improving patient care

Funded under Horizon Europe’s Innovative Health Initiative (HORIZON-JU-IHI-2022-02-01) and running from 2023 to 2028, the iCARE4CVD project aims to improve patient care across the board, starting from those at risk of developing cardiovascular disease to those with advanced heart failure. Thomas More University of Applied Sciences plays an important role in the project focusing data analysis and AI modeling as well as on the implementation of Patient-Reported Outcome Measures and Patient-Reported Experience Measures. Find out more in the full article.