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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

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