|   | 
Details
   web
Records
Author (up) Clara Le Duff; Jean-Philippe Gitto; Julien Jeany; Raphaël Falco; Matthieu Lauras; Frederick Benaben
Title A Physics-based Approach to Evaluate Crisis Impacts on Project Management 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 134-143
Keywords Crisis Management, Project Management, Risk Assessment, Physics of Decision, Simulation
Abstract Project management has become a standard in business. Unfortunately, the projects as well as companies are increasingly subject to major disruptions. In this context, it is of prime importance to have the ability to manage the risks inherent to these projects to best achieve their objectives. The existing approaches of crisis management in the literature no longer seem to be adapted to this new normality. The future of research lies in a more systematic crisis assessment and a better conceptualization of the uncertainty associated with risks. It is necessary to rely on the collection of heterogeneous data in order to maximize the understanding of the project environment and to find a way that best describes and visualizes the influence of crises on the project management processes. This article uses the POD approach and applies it in the context of project management to address these issues.
Address Centre Génie Industriel IMT Mines Albi; Scalian; Scalian; Scalian; Scalian; Centre Génie Industriel 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 Analytical Modeling and Simulation Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2404
Share this record to Facebook
 

 
Author (up) Frederick Benaben; Lysiane Benaben
Title Science Fiction: Past and Future Trends of Crisis Management 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 1130-1139
Keywords Information; Decision; Action; Future; Trends; Anticipation; Framework
Abstract This paper is a position paper, presenting an original but very anticipative and mainly imaginative vision of the evolution of the crisis management domain. After analyzing the options to make the past evolutions of that domain somehow explainable (mainly by analyzing the data of all the articles of the last fifteen editions of the ISCRAM conference), the paper aims at providing a framework to assess and evaluate the maturity of the domain of crisis management. Moreover, this framework is also used to tentatively infer some future evolutions and some directions that could be relevant, dangerous, tricky or of great benefit for the crisis management domain. These future trends are mainly based on the current maturity of crisis management (according to the proposed framework) and current or future influential practices, technologies or threats. It will be necessary to wait for fifteen years to see if these bets should be considered as accurate.
Address IMT Mines Albi; 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 978-1-949373-27-102 ISBN 2411-3488 Medium
Track Visions for Future Crisis Management Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes frederick.benaben@mines-albi.fr Approved no
Call Number Serial 2303
Share this record to Facebook
 

 
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
Share this record to Facebook
 

 
Author (up) Robin Batard; Frederick Benaben; Aurélie Montarnal; Christophe Prieur; Caroline Rizza
Title Ethical, Legal and Social considerations surrounding the use of social media by citizens during Hurricane Irma in Cuba Type Conference Article
Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018
Volume Issue Pages 268-275
Keywords ELSI, Social Media, Volunteers, Citizens, Hurricane Irma
Abstract While Hurricane Irma struck the Cuban Southern coasts, thousands of tourists were evacuated from this area and relocated in the Varadero peninsula. In a couple of days, all means for families and friends to connect with the tourists were down, leaving them without any information about the on-site situation. This paper focuses on the volunteer citizens' initiative to take advantage of social media, to enhance their own situational awareness in Varadero area, supporting fellow citizens to identify and localize their relatives. In particular, two Facebook groups that were created at the time are analyzed and their messages' content and objectives categorized. We will show that once more, social media has constituted opportunities for citizens to engage a specific response to the crisis, but at the same time has raised specific ethical and social issues.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Ethical, Legal and Social Issues Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2106
Share this record to Facebook
 

 
Author (up) Shane Errol Halse; Aurélie Montarnal; Andrea Tapia; Frederick Benaben
Title Bad Weather Coming: Linking social media and weather sensor data Type Conference Article
Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018
Volume Issue Pages 507-515
Keywords Twitter; weather; sensor data; social media
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.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Social Media Studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2127
Share this record to Facebook