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Zeno Franco, José J. González, & José H. Canós. (2019). Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Iscram 2019, , 1447.
Abstract: The theme of ISCRAM 2019 is “Towards individual-centric emergency management
systems”. This edition wishes to highlight the particular needs of the individual
stakeholder in Crisis and Emergency Management and to stimulate discussions that
enable the design of individual-centric crisis and emergency management systems.
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Hemant Purohit, & Jennifer Chan. (2017). Classifying User Types on Social Media to inform Who-What-Where Coordination during Crisis Response. Iscram 2017, , 656–665.
Abstract: Timely information is essential for better dynamic situational awareness, which leads to efficient resource planning, coordination, and action. However, given the scale and outreach of social media�a key information sharing platform during crises, diverse types of users participate in discussions during crises, which affect the vetting of information for dynamic situational awareness and response coordination activities. In this paper, we present a user analysis on Twitter during crises for three major user types�Organization, Organizationaffiliated (a person�s self-identifying affiliation with an organization in his/her profile), and Non-affiliated (person not identifying any affiliation), by first classifying users and then presenting their communication patterns during two recent crises. Our analysis shows distinctive patterns of the three user types for participation and communication on social media during crises. Such a user-centric approach to study information sharing during crisis events can act as a precursor to deeper domain-driven content analysis for response agencies.
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Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, & Aurélie Montarnal. (2017). Conference Proceedings of 14th International Conference on Information Systems for Crisis Response And Management (Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes, Ed.). Albi, France: Iscram.
Abstract: This year�s conference theme is �Agility is coming�. Through information systems, we have access to data in real-time. Agility enables responders and communities to react quickly to such information, set up collaboration mechanisms as needed, and jointly improve response and recovery processes and strategies. As such, agility is one of the keys for building more resilient
societies.
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Kees Boersma, & Brian Tomaszeski (Eds.). (2018). Conference Proceedings of 15th International Conference on Information Systems for Crisis Response and Management. Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Each year, ISCRAM brings together top researchers and practitioners working in the area of information systems and crisis management. The conference provides an excellent opportunity to exchange information and knowledge on new research and discuss best practices. The overarching theme for ISCRAM 2018 is Visualizing Crisis, which aims at the interdisciplinary development and design of information systems that enable better crisis planning, response, mitigation, recovery and training by using integrated approaches that combine organizational, behavioral, technical, economic and environmental aspects through visual representation and reasoning.
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Shane Errol Halse, Aurélie Montarnal, Andrea Tapia, & Frederick Benaben. (2018). Bad Weather Coming: Linking social media and weather sensor data. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 507–515). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: In this paper we leverage the power of citizen supplied data. We examined how both physical weather sensor data (obtained from the weather underground API) and social media data (obtained from Twitter) can serve to improve local community awareness during a severe weather event. A local tornado warning was selected due to its small scale and isolated geographic area, and only Twitter data found from within this geo-locational area was used. Our results indicate that during a severe weather event, an increase in weather activity obtained from the local weather sensors does correlate with an increase in local social media usage. The data found on social media also contains additional information from, and about the community of interest during the event. While this study focuses on a small scale event, it provides the groundwork for use during a much larger weather event.
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