[CFP] IEEE ICT-DM 2023, Cosenza, Italy - Sept. 13-15, 2023

[Jui-Yi Tsai]

[Our apologies for multiple copies of this email]

The 8th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) - Cosenza, Italy, 13-15 September 2023
https://ict-dm2023.inria.fr/index.html

Track 4: Crowdsourcing and social media for disaster & crisis management
https://ict-dm2023.inria.fr/tracks/four.html

Scope: Natural disasters like flooding and earthquakes, as well as terrorism attacks and industrial disasters, should be dealt with in a fast and effective manner. In such scenarios, first responders, news agencies and the victims are used to exploit social media as a first “communication channel” to disseminate situational information in a reliable way, reaching a huge pool of users. Similarly, crowdsourcing applications engage user communities in emergency response and disaster management for natural hazards. However, some drawbacks may occur in such social tools, thus limiting authorities and disaster management stakeholders to use social media data to make decisions. As an instance, social media crowdsourcing data should be georeferenced to improve situational awareness, and the positioning error should be very low. In addition, social media data should be merged with other external data sources and authoritative data to establish geographic relationships between the disaster event and social media messages. Also, the dissemination of a message should occur between trusted and reliable nodes, in order to be sure the disseminated information is secure. As a solution, the main goal is to handle a set of learning materials such as methods, tools and guidelines on the use of social media and crowdsourcing in disasters in an effective manner, especially for what concerns security and trustworthiness of data information.

So, this track wants to stimulate the scientific community to propose new technical studies that may address different topics such as:
Secure and reliable communications in social media and crowdsourcing for disaster & crisis management
Opportunistic data dissemination in social media and crowdsourcing tools
Network architectures for social media and crowdsourcing
Machine learning techniques in social media and crowdsourcing for disaster & crisis management
Energy harvesting, storage, recycling, and wireless power transfer for social IoTs in disaster and crisis
Fog/edge computing and social IoT convergent services, systems, infrastructure, and techniques for disaster and crisis management
Agile, intelligent, and resilient aerial (swarm) social-inspired communications and control in disaster crisis
Localization and positioning with social IoT in disaster/crisis areas
Social-aware self-organizing network optimization for efficient crowdsourcing in mobile social networks
Security, privacy, and trust in social IoT-assisted disaster/crisis management systems
Disaster/crisis data aggregation, dissemination, collection, and mining via crowdsourcing and social media in multi-hop heterogeneous networks
Crowdsourcing, gamification, and social media incentivization for natural hazard prevention, mitigation, and management
Real-time query processing, data fusion, and event summarization for multi-source disaster data and social media
Big data analysis, AI and machine/deep learning models with Age of Information (AoI) in crowdsourcing and social media analysis
Innovative crowdsourcing applications and social network services for disaster and crisis management

Track Chair
Anna Maria Vegni, University of Roma Tre, Italy
De-Nian Yang, Institute of Information Science, Academia Sinica, Taiwan

Important dates
Full/short paper submission: May 16, 2023
Acceptance notification: July 23, 2023
Camera ready: August 20, 2023