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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
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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 take decision. 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 concern 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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