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Author |
Fredrik Bergstrand |
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Title |
Sensemaking in command centre contexts |
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Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Keywords |
Communication; Information technology; Risk management; Activists; Command centres; Design implications; Emergency management; Fire and rescue services; Participant observations; Protest; Sensemaking; Sweden; Information systems |
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Abstract |
This paper presents descriptive accounts from the work conducted at a Swedish fire and rescue service's command centre during a high risk protest. Sensemaking has been applied as a theoretical lens on the empirical data. Two specific episodes has been selected to demonstrate how the process of sensemaking is manifested in the context of the command centre. The paper also includes implications for design suggesting how information systems for this context should be designed to better support sensemaking. |
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Address |
Department of Applied Information Technology, University of Gothenburg, Sweden |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
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Track |
Command and Control Studies |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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no |
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Call Number |
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Serial |
311 |
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Author |
Avelino F. Gomes Filho; André L. A. Sobral; Claudio A. Passos; Arce, D.; Gustavo A. Bianco; Júlio C. Rodrigues; Jose Orlando Gomes; Paulo V. R. Carvalho |
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Title |
C2 Center dealing with the unexpected: Resilience and brittleness during FIFA confederation cup |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Pages |
100-109 |
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Keywords |
Fracture mechanics; Information systems; Plasticity; C2 Center; Protests; Resilience; Rio de Janeiro; Unexpected; Brittleness |
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Abstract |
Forecast and plan response to incidents are fundamental to create a Command and Control Center (C2 Center). However, some incidents are considered chaotic and are completely understood only after happening. These unforeseen incidents pose challenges to plans of such centers and if not properly managed, may result in failures. This article describes how the Integrated C2 Center of Rio de Janeiro City (CICC-RJ) responds to violent, unexpected and improbable events, especially related to protests that took place during the 2013 FIFA Confederations Cup. It aims to describe from the resilience engineering point of view how the CICC-RJ function to cope with incidents, where the structure has proved to be resilient, where it holds brittleness, and to suggest possible actions to help the center to become more resilient to upcoming events. |
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Address |
UFRJ, Brazil; IEN, Brazil |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
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Track |
Command and Control Studies |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Serial |
493 |
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Author |
Kate Starbird; Grace Muzny; Leysia Palen |
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Title |
Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Pages |
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Keywords |
Artificial intelligence; Information systems; Learning systems; Social networking (online); Support vector machines; Crisis informatics; Human computation; Mass disruption; Microblogging; Political protest; Behavioral research |
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Abstract |
Social media tools, including the microblogging platform Twitter, have been appropriated during mass disruption events by those affected as well as the digitally-convergent crowd. Though tweets sent by those local to an event could be a resource both for responders and those affected, most Twitter activity during mass disruption events is generated by the remote crowd. Tweets from the remote crowd can be seen as noise that must be filtered, but another perspective considers crowd activity as a filtering and recommendation mechanism. This paper tests the hypothesis that crowd behavior can serve as a collaborative filter for identifying people tweeting from the ground during a mass disruption event. We test two models for classifying on-the-ground Twitterers, finding that machine learning techniques using a Support Vector Machine with asymmetric soft margins can be effective in identifying those likely to be on the ground during a mass disruption event. © 2012 ISCRAM. |
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Address |
University of Colorado, Boulder, United States; University of Washington, Seattle, United States |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
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Track |
Social Media and Collaborative Systems |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
208 |
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