2022 Workshop on AI and Simulation for Natural Disaster Management Hybrid Mode -- July 17, 2022

Co-located with the RoboCup Symposium 2022 [ https://2022.robocup.org/ | https://2022.robocup.org ]

TECHNICAL/RESEARCH PRESENTATIONS ================================

Presentation Proposals must be submitted by filling in the form at [ https://forms.gle/CrWdVYDLa4YAD7je6 | https://forms.gle/CrWdVYDLa4YAD7je6 ]

Presentations will have a 20 minute slot, including a 15 minutes presentation and 5 minutes for questions.

IMPORTANT DATES ================ Presentation Proposal Submission.: June 30, 2022 Acceptance Notification..........: July 4, 2022

DESCRIPTION ============ The intersection of Artificial Intelligence (AI) and simulation may contribute to the advance of natural disaster management. AI and simulation models and tools, however, have to embed the required features and capabilities of this domain application in order to support in real-world disaster scenarios. Hence, the collaboration with field experts and policy-makers in the natural disaster domain becomes essential.

The workshop aims to gather together and build a community of researchers, disaster responders, and policy-makers interested in developing and applying AI and simulation techniques for natural disaster management.

The workshop is relevant because it will help to create a bridge between technology experts and disaster management practitioners aligning their understand, interpretation, and expectations of each other enabling an environment for the exchange of ideas.

The workshop will be structured as a mix of - Invited talks - Technical/Research presentations - Tutorials

The topics of interest (but not limited to) are: - Artificial intelligence and machine learning for disaster management - Application of simulation on disaster management - Coordination, collaboration and decision support technologies and systems for disaster management - Intelligent forecasting applications or systems for early detection - Prediction and early warning systems - Case studies and tools development for disease prediction, propagation and control - Open source data and space-based resources to support disaster management - Spread of Infectious Disease (e.g., COVID19) - Flooding - Tsunami - Geological Disasters and Earthquakes - Multi-hazard Risk Assessment, Communication - Critical Infrastructure

ORGANIZING COMMITTEE ====================== - Luis Gustavo Nardin, École des Mines de Saint-Étienne, France - Dina Helal, Microsoft, Ireland - Farshid Faraji, Islamic Azad University of Bonab, Iran - Seyed M. R. Modarasi, Sorbonne University Paris Nord, France