CFP - AI for Disaster Risk Management Track at ISCRAM-23

[hpurohi...@gmail.com]

Dear colleagues, 

The annual ISCRAM conference is an international forum for discussing advances in the technologies for crisis management. Please consider submitting HCOMP works in the domain of crisis management. 

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Call for Papers:

The 20th International Conference on Information Systems for Crisis Response and Management (ISCRAM) 

Omaha, Nebraska - USA

May 28th-31th, 2023 

https://www.unomaha.edu/college-of-information-science-and-technology/iscram2023/index.php/

 

TRACK: AI for Disaster Risk Management

 

This track aims to facilitate a forum for presenting state-of-the-art works on information systems infused with Artificial Intelligence (AI) technologies for disaster risk management, including novel ontologies, semantic data models, knowledge graphs, natural language processing, computer vision, machine learning methods, and data-driven planning and optimization for decision processes such as emergency resource allocation. 

Timely extraction and management of relevant information during an emergency, a disaster, or a crisis event is a critical requirement for the design of information systems to support decision-making. Collecting, filtering, representing, reasoning, and distributing relevant information to different stakeholders timely and in an interoperable format is challenging yet critical. AI technologies present potential solutions to manage this complexity of information management during disasters, for example, transforming unstructured data streams into a structured form of actionable knowledge can provide real-time decision support to the emergency management agencies. Similarly, principled resource optimization that takes future uncertainty into account can ensure that resources focus on non-myopic gains.                                                            

Information systems infused with AI technologies will display some ability to reason, perceive, learn or act intelligently in their environments; and they may have proactive, reactive, autonomous and/or social aspects. This track welcomes contributions to the theory, methodology and practice of developing and evaluating AI systems in the context of supporting disaster risk management for preparedness, response, and recovery operations of emergency management agencies. 

 

TRACK TOPICS:

The following topics are proposed but not limited to:

Human-AI interaction and human-aware AI for disaster risk management

Conversational AI technologies for disaster risk management

Knowledge engineering for disaster, emergency, and crisis events including

Development and applications of ontologies and knowledge graphs for disaster risk management

Intelligent context-aware modelling and processing

Intelligent user interfaces

Cooperative decision-making

Coordination, collaboration and decision support technologies and systems

Decision making under uncertainty

Knowledge representation, discovery, and reasoning

Machine learning and deep learning applications for crisis management

Modeling and simulation tools for crisis and disaster situations

Multi-agent systems for emergency simulation

Optimization methods for emergency response planning and scheduling

Event forecasting and early warning systems

Rule and case-based reasoning

Social semantic web for disaster risk management

Natural Language Processing for situational awareness

 

The ISCRAM 2023 conference committee invites two broad categories of research papers:

• CoRe: Completed Research (from 4000 to 8000 words).
• WiP: Work In Progress (from 3000 to 6000 words).

 

Important Dates:

• 15 January 2023 – Call for CoRe Paper Submission
• February 20th, 2023 – Call for WiPe Paper Submission

 

Submission Guide:

Check more details here: https://www.unomaha.edu/college-of-information-science-and-technology/iscram2023/call-for-submissions/call-for-papers.php  

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