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The last training - Practical utilisation of AI tools in emergency management

Crisis Information Center of Space Research Center would like to inform you that the ARTION Project consortiom is organizing the last virtual training on the subject of the“Practical utilisation of AI tools in emergency management”.
Serminar - ARTION
Serminar - ARTION

The event will be held online, on the 14th of June, 2022, between 10:00 and 15.00 CET, and will consist of two parts: the training and the presentation of  Disaster Management AI Portal.

The event will gather speakers - researches engaged in the subject - who will cover the following aspects:

  • the motivation behind the employment of AI for disaster management (practical highlights of  the usefulness),
  • an introduction to AI  providing a brief background on this scientific field,
  • a selection of topics on AI for disaster management
  • a detailed approach to testing and evaluating AI technologies for disaster management.

The registration for the event is free of charge - https://www.cmine.eu/events/89267.

In addition, we would like to remind you that in our last event of the series “Practical utilisation of AI tools in emergency management” (held in March) you were able to familiarize yourself with the following success stories. Recordings of those stories are now available:

Streaming link Recording description
Focus Gropu on AI for NAtural Disaster Management (FG-AI4NDM) Artificial intelligence (AI) can enhance our understanding of natural disasters and support disaster relief/early warning. However, AI is not yet part of the modus operandi in natural disaster management. Therefore, the Focus Group on AI for Natural Disaster Management (FG-AI4NDM) capitalizes on the growing interest and novelty of AI in the field of natural disaster management to help lay the groundwork for best practices in the use of AI for: assisting with data collection and handling, improving modelling across spatiotemporal scales, and providing effective communication.

Speaker: Dr. Ivanka Pelivan, Co-Chair of Working Group on AI for Effective Communications, ITU/WMO/UNEP FG-AI4NDM, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany
Recent implementation of SARUAV for operations of polish High-Mountain Serach and Rescue GOPR Recently established drone team of Polish Volunteer High-Mountain S&R (GOPR) team achieved their first successful operational identification of a missing person by AI supported done. Presentation will describe how it was possible and who is behind that success. GOPR operates in difficult circumstances - high mountains hamper both communication and navigation. Weather conditions are often considered too extreme for aircrafts, nevertheless the team managed to overcome these issues and even went one step further: put AI algorithms into use to maximise efficiency of UAV collected data.

Speakers: Tomasz Motyl, Project Manager and rescuer in Jura Group of the Mountain Volunteer Search and Rescue, thesis student in the University of Wrocław,
prof. Tomasz Niedzielski, Faculty of Earth Sciences and Environmental Management head, Institute of Geography and Regional Development, The University of Wrocław & SAR UAV Ltd.
Living Lab Stratumseind AI supported Stratumsein - systems installed on Stratumseind street (the busiest pub street in the Netherlands), in Eindhoven historical city centre, allowed significantly better situation awareness, improved reaction time of emergency response and helped with finding patterns of abnormative behaviour. This presentation will describe the process of building and testing the system during global pandemics, its current capabilities and plans for near future, with extra focus on possibilities arising for other cities and institutions and on lessons that has been identified during system implementation.

Speaker: Tinus Kanters, project manager and event organiser, crowdmanagement expert at: Living Lab Stratumseind/Citylab Eindhoven, City of Eindhoven and Dutch Institute for Technology, Safety and Security
Developments in the area of airspace management for large–scale emergencies In 2020 Poland’s largest national park struggled to tackle the worst fire in decades. When a vast number of water bombing missions started, a completely unknown before safety issue arose: the amount of low-flying manned aircrafts forced a full grounding of the Polish State Fire Service UAV fleet, partially blinding forces on the ground. The complete reservation of airspace currently prevails as a go-to solution to ensure safe flights during emergencies. To address that gap, Space Research Centre together with State Fire Service and Polish Air Navigation Services Agency started discussing possible alternatives in area of Aircraft Operations Coordination for Emergency and Rescue.

Speaker: Dr. Jakub Ryzenko, space politics expert, chief of Crisis Information Centre, Earth Observation Department, Space Research Centre of Polish Academy of Sciences (CBK PAN).


On this occasion, we would like to invite you to participate in the survey which gathers your opinion on the use of AI solutions in both the general area of Civil Protection and Disaster Management and also directly in your institution. The survey outcomes will be anonymised, further processed and will finally contribute to the project report titled: Disaster management actor feedback and insights. The report will host requirements and expectations towards arising AI driven innovations, and also will aim at collecting and consolidating relevant and actual needs of disaster management actors. CLICK TO OPEN THE SURVEY  We will be grateful for your opinion.

More information about the last “Practical utilisation of AI tools in emergency management” training you can find in the attached agenda.

The project has received funding from the European Union’s Call for proposals in the field of Civil Protection under the Union Civil Protection Knowledge Network under grant agreement 101017763.

Files to download

  • Invitation ARTION training Practical utilisation of AI tools in emergency management 14.06.2022
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