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

    From vincentthunder2011@gmail.com@21:1/5 to All on Tue May 16 04:42:09 2023
    [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

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