• [Deadline Extended] IEEE ICT-DM 2023, Cosenza, Italy - Sept. 13-15, 202

    From vincentthunder2011@gmail.com@21:1/5 to All on Mon Jun 5 04:05:52 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



    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: June 7, 2023 (extended)
    Acceptance notification: July 23, 2023 Camera ready: August 20, 2023

    --- SoupGate-Win32 v1.05
    * Origin: fsxNet Usenet Gateway (21:1/5)