Hybrid Mode (In-person and Online) – July 17, 2022
Co-located with the
RoboCup Symposium 2022
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
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)
- Geological Disasters and Earthquakes
- Multi-hazard Risk Assessment, Communication
- Critical Infrastructure
The workshop will be composed of a set of presentation sessions for the sharing experiences and perspectives on natural disaster management. Policy-makers and disaster responders may present how a disaster response plans are respectively designed and executed on the field, while academic researchers will introduce AI and simulation tools that can be used to support on natural disaster management tasks.
Hands-on activities to introduce and consolidate the participant’s knowledge and skills with the Rescue Simulation platforms. The planned tutorials are:
- Introduction to Rescue Simulation
This tutorial will endow the participants with basic understanding of the structure and dynamic aspects of the Rescue Simulator and Simulation code. The tutorial also will cover more practical aspects:
- Simulator installation and configuration
- Simulation executions
- Simple Rescue Agent Team code modification
- Implementing Rescue Team using Python
This tutorial will introduce the new Python API developed to interact with the Rescue Simulator. The tutorial will detail the communication protocol between the Rescue Simulator with the Rescue Agent Team and guide the participants through a step-by-step process to develop a Rescue Agent Team using the Python API via incremental assignments.
- Unraveling ADF Framework
The Agent Development Framework (ADF) is a modular and flexible framework that enables the development of Rescue Agent Teams for the Rescue Simulator. This tutorial will details the structure and propose incremental assignments to help participants grasp the dynamics of the framework. The tutorial will also guide the participants through the installation and configuration of the framework.
Register to the Tutorials by filling in the Tutorial Registration Form.
- 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