Agent-Based and Artificial Intelligence Modelling for Disaster and Emergency Management

A special issue of Quaternary (ISSN 2571-550X).

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 292

Special Issue Editors


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Guest Editor
Disaster & Emergency Management, School of Administrative Studies & Advanced Disaster & Emergency Rapid-response Simulation (ADERSIM), York University, Toronto, ON M3J 1P3, Canada
Interests: disaster modeling and simulations; GIS in disaster management; virtual reality in DEM; mixed reality in DEM; business continuity
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Graduate School of Public Health, City University of New York, New York, NY 10027, USA
Interests: simulation modeling; decision-support systems; computer simulation; open data; social networks analysis

Special Issue Information

Dear Colleagues,

We invite you to submit your original research or overview papers to this Special Issue on the “Agent-Based and Artificial Intelligence Modelling for Disaster and Emergency Management”, in Quaternary.

The prime goals of disaster and emergency management (DEM) are to save lives and protect communities and their assets and the environment from natural, technological, and human-made disasters. DEM planning and operations at the mitigation, preparedness, response, and recovery phases can be empowered by advances in new methodologies and technologies. Emerging and growing agent-based modeling (ABM) and artificial intelligence (AI) and their combinations can help professionals, decision makers, and operators to achieve DEM goals better, faster, and more equitably. This issue aims to demonstrate 1) how ABM and AI can change the way we understand, identify, model, assess, and manage risks associated with different natural, technological, and human-made hazards; 2) how ABM and AI can enhance individual, community, national, and global preparedness against large hazardous events; 3) how ABM and AI can be used to assist emergency management agencies and organizations in responding to major disaster events; and 4) how ABM and AI can support disaster relief, short-term and long-term recovery, and reconstruction efforts.  

We are looking for papers that answer one or a combination of the above questions using agent-based modeling, artificial intelligence, or a combination of the two.

Prof. Dr. Ali Asgary
Dr. Mahdi Najafabadi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Quaternary is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • agent-based modeling
  • artificial intelligence
  • natural hazards
  • technological hazards
  • disaster and emergency management

Published Papers

There is no accepted submissions to this special issue at this moment.
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