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Author (up) Anouck Adrot; Samuel Auclair; Julien Coche; Audrey Fertier; Cécile Gracianne; Aurélie Montarnal
Title Using Social Media Data in Emergency Management: A Proposal for a Socio-technical Framework and a Systematic Literature Review Type Conference Article
Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022
Volume Issue Pages 470-479
Keywords data eco-system; data processing; social media; information management; information technology; emergency organization
Abstract Data represents an essential resource to the management of emergencies: organizations have been growingly investing in technologies and resources to lever data as an asset before, during, and after disasters and emergencies. However, research on data usage in emergency management remains fragmented, preventing practitioners and scholars from approaching data comprehensively. To address this gap, this research in progress consists of a systematic review of the literature in a two-steps approach: we first propose a socio-technical framework and use it in an exploratory mapping of the main topics covered by the literature. Our preliminary findings suggest that research on data usage primarily focuses on technological opportunities and affordances and, hence, lacks practical implementation aspects in organizations. The expected contribution is double. First, we contribute to a more comprehensive understanding of data usage in emergency management. Second, we propose future avenues for research on data and resilience.
Address Dauphine Recherches en Management; French Geological Survey BRGM; IMT Mines Albi; IMT Mines Albi; French Geological Survey BRGM; IMT Mines Albi
Corporate Author Thesis
Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium
Track Data and Resilience: Opportunities and Challenges Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2433
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Author (up) Jess Kropczynski; Rob Grace; Julien Coche; Shane Halse; Eric Obeysekare; Aurélie Montarnal; Frederick Bénaben; Andrea Tapia
Title Identifying Actionable Information on Social Media for Emergency Dispatch Type Conference Article
Year 2018 Publication Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018
Volume Issue Pages 428-438
Keywords Public Safety Answering Point (PSAP), Social Media, Qualitative Coding
Abstract Crisis informatics researchers have taken great interest in methods to identify information relevant to crisis events posted by digital bystanders on social media. This work codifies the information needs of emergency dispatchers and first responders as a method to identify actionable information on social media. Through a design workshop with public safety professionals at a Public-Safety Answering Point (PSAP) in the United States, we develop a set of information requirements that must be satisfied to dispatch first responders and meet their immediate situational awareness needs. We then present a manual coding scheme to identify information satisfying these requirements in social media posts and apply this scheme to fictitious tweets professionals propose as actionable information to better assess ways that this information may be communicated. Finally, we propose automated methods from previous literature in the field that can be used to implement these methods in the future.
Address University of Cincinnati; The Pennsylvania State University; coles des Mines d'Albi Carmaux; The Pennsylvania State University; The Pennsylvania State University; coles des Mines d'Albi Carmaux; The Pennsylvania State University; coles des Mines d'Albi Carmaux
Corporate Author Thesis
Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Track Social Media and Community Engagement Supporting Resilience Building Expedition Conference
Notes Approved no
Call Number Serial 1672
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Author (up) Julien Coche; Aurelie Montarnal; Andrea Tapia; Frederick Benaben
Title Automatic Information Retrieval from Tweets: A Semantic Clustering Approach Type Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages 134-141
Keywords Information Retrieval; Word Embedding; BERT
Abstract Much has been said about the value of social media messages for emergency services. The new uses related to these platforms bring users to share information, otherwise unknown in crisis events. Thus, many studies have been performed in order to identify tweets relating to a crisis event or to classify these tweets according to certain categories. However, determining the relevant information contained in the messages collected remains the responsibility of the emergency services. In this article, we introduce the issue of classifying the information contained in the messages. To do so, we use classes such as those used by the operators in the call centers. Particularly we show that this problem is related to named entities recognition on tweets. We then explain that a semi-supervised approach might be beneficial, as the volume of data to perform this task is low. In a second part, we present some of the challenges raised by this problematic and different ways to answer it. Finally, we explore one of them and its possible outcomes.
Address IMT Mines Albi; IMT Mines Albi; Penn State University; IMT Mines Albi
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-13 ISBN 2411-3399 Medium
Track AI Systems for Crisis and Risks Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes julien.coche@mines-albi.fr Approved no
Call Number Serial 2214
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Author (up) Julien Coche; Jess Kropczynski; Aurélie Montarnal; Andrea Tapia; Frédérick Bénaben
Title Actionability in a Situation Awareness world: Implications for social media processing system design Type Conference Article
Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021
Volume Issue Pages 994-1001
Keywords Actionable Information, Situation Awareness, Social Media, Crisis Management
Abstract The field of crisis informatics now has a decade-long history of designing tools that leverage social media to support decision-makers situation awareness. Despite this history, there remains few examples of these tools adopted by practitioners. Recent fieldwork with public safety answering points and first responders has led to an awareness of the need for tools that gather actionable information, rather than situational awareness alone. This paper contributes to an ongoing discussion about these concepts by proposing a model that embeds the concept of actionable information into Endsley's model of situation awareness. We also extend the insights of this model to the design implications of future information processing systems.
Address IMT Mines Albi; University of Cincinnati; Ecole des Mines d'Albi Carmaux; The Pennsylvania State University; Ecole des Mines d'Albi-Carmaux
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-61-5 ISBN Medium
Track Visions for Future Crisis Management Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management
Notes coche.emac@gmail.com Approved no
Call Number ISCRAM @ idladmin @ Serial 2391
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