Records |
Author |
Geoffrey Hoare; Mary Beth Russell; Aaron Kite-Powell; Rick France |
Title |
Developing H1N1 hospital surge dashboard indicators: A demonstration |
Type |
Conference Article |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Health care; Information systems; Public health; Esf-8; Florida; H1n1; Medical emergency; Situational awareness; Surge; Hospitals |
Abstract |
Developing key state-wide indicators of Florida's health care system's public health capacity during the H1N1 Pandemic has been challenging. This demonstration outlines work to develop a key indicator of patient surge caused by the H1N1 outbreak. Further work to calibrate this measure and relate it to surge in other health care organizations is outlined. |
Address |
Florida Department of Health, United States |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
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Medium |
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Track |
Planning, Foresight and/or Risk Analysis |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
585 |
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Author |
Holzhüter, M.; Huhle, G.; Reuter-Oppermann, M.; Hellriegel, J.; Klafft, M. |
Title |
Acceptance study on application systems to improve situational incident management through bi-directional communication between citizens and decision-makers in emergencies and crises situations |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
197-207 |
Keywords |
Emergency Control Centre; Situational Awareness; Acceptance of ICT; Population; Crowdsourcing; Video Support; Bidirectional Communication |
Abstract |
Efficient hazard prevention and disaster control depend on situational awareness. Situational information is – among others – provided by citizens on the ground. Disaster managers are often reluctant to use such information on a large scale or in a systematic way for fear of being overwhelmed by information overload in a stressful crisis. New information technologies for crisis management are strongly dependent on the acceptance of the people using them and can only be successful as socio-technical systems. Therefore, 354 employees of public and private emergency operation centres as well as members of crisis management teams were asked to assess different information sharing technologies. 504 people from the public responded to an online survey about their willingness to use such technologies. The results indicate a high level of acceptance by both user groups for bi directional communication technologies for situation management and the improvement of situational awareness. |
Address |
Fraunhofer FOKUS; COREVAS GmbH & CO.KG; Technische Universität Darmstadt; Fraunhofer FOKUS; Fraunhofer FOKUS |
Corporate Author |
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Thesis |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
ISSN |
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ISBN |
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Medium |
|
Track |
Technologies for First Responders |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/ZLXU9879 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2518 |
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Author |
Daniel Iland; Don Voita; Elizabeth Belding |
Title |
Delay tolerant disaster communication with the One Laptop per Child XO laptop |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
|
Issue |
|
Pages |
863-867 |
Keywords |
Disasters; Information systems; Internet; MESH networking; Delay Tolerant Networking; Disaster communications; Epidemic routing; Information sharing; Olpc; Peer to peer; Situational awareness; Telepathy salut; Ushahidi; Laptop computers |
Abstract |
In this paper, we describe the design, implementation, and evaluation of a mesh network based messaging application for the One Laptop Per Child XO laptop. We outline the creation of an easy-to-use OLPC Activity that exchanges Ushahidi-style messages with nearby OLPC users through the Internet or a mesh network. Our contributions are to implement an epidemic messaging scheme on mesh networks of OLPC XO laptops, to extend the Ushahidi web application to efficiently exchange messages with nodes in mesh networks, and to allow the Ushahidi server to distribute cures, notifications of message delivery, for each received message. Testing and analysis revealed substantial overhead is introduced by the OLPC's use of Telepathy Salut for activity sharing. |
Address |
University of California, Santa Barbara, United States |
Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Social Media |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
611 |
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Author |
Muhammad Imran; Shady Elbassuoni; Carlos Castillo; Fernando Díaz; Patrick Meier |
Title |
Extracting information nuggets from disaster- Related messages in social media |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
|
Issue |
|
Pages |
791-801 |
Keywords |
Artificial intelligence; Data visualization; Disasters; Information retrieval; Information systems; Learning systems; Social networking (online); Emergency responders; Extracting information; Machine learning methods; Situational awareness; Social media; Supervised classification; Twitter; Visualization system; Emergency services |
Abstract |
Microblogging sites such as Twitter can play a vital role in spreading information during “natural” or man-made disasters. But the volume and velocity of tweets posted during crises today tend to be extremely high, making it hard for disaster-affected communities and professional emergency responders to process the information in a timely manner. Furthermore, posts tend to vary highly in terms of their subjects and usefulness; from messages that are entirely off-topic or personal in nature, to messages containing critical information that augments situational awareness. Finding actionable information can accelerate disaster response and alleviate both property and human losses. In this paper, we describe automatic methods for extracting information from microblog posts. Specifically, we focus on extracting valuable “information nuggets”, brief, self-contained information items relevant to disaster response. Our methods leverage machine learning methods for classifying posts and information extraction. Our results, validated over one large disaster-related dataset, reveal that a careful design can yield an effective system, paving the way for more sophisticated data analysis and visualization systems. |
Address |
University of Trento, Italy; American Univ. of Beirut, Lebanon; QCRI, Qatar; Microsoft Research, Qatar |
Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Social Media |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
613 |
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Author |
Kenneth Joseph; Peter M. Landwehr; Kathleen M. Carley |
Title |
An approach to selecting keywords to track on twitter during a disaster |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
672-676 |
Keywords |
Data mining; Disasters; Information systems; Keyword searching; Novel methodology; Situational awareness; Social media; Twitter; Social networking (online) |
Abstract |
Several studies on Twitter usage during disasters analyze tweets collected using ad-hoc keywords pre-defined by researchers. While recent efforts have worked to improve this methodology, open questions remain about which keywords can be used to uncover tweets contributing to situational awareness (SA) and the quality of tweets returned using different terms. Herein we consider a novel methodology for uncovering relevant keywords one can use to search for tweets containing situational awareness. We provide a description of the methodology and initial results which suggest our approach may lead to better keywords to use for keyword searching during disasters. |
Address |
Carnegie Mellon University, United States |
Corporate Author |
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Thesis |
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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. |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Social Media in Crisis Response and Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
640 |
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Author |
Ali Khalili-Araghi; Uwe Glässer; Hamed Yaghoubi Shahir; Brian Fisher; Piper Jackson |
Title |
Intelligent decision support for emergency responses |
Type |
Conference Article |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Artificial intelligence; Command and control systems; Decision support systems; Dynamics; Information systems; Intelligent agents; Adaptive information; Command and control; Dynamic resource configurations; Emergency response; Heterogeneous resources; Intelligent decision support; Intelligent decision support systems; Situational awareness; Information management |
Abstract |
With a coastline touching upon the Pacific and Atlantic Oceans, the Great Lakes and the Arctic Sea, the Canadian MSOCs are faced with a daunting task. They are responsible for both routine duties, including patrolling coastal areas and collecting satellite data, as well as critical missions, such as emergency response and crime intervention. Both kinds of mission require the fusion of data from a variety of sources and the orchestration of myriad heterogeneous resources over great physical distances. They must deal with uncertainty, both in terms of what can be known and also in the outcomes of actions, and must interact with an environment prone to dynamic change. We present the architecture and core mechanisms of a decision support system for marine safety and security operations (Glässer, Jackson, Araghi, When and Shahir, 2010). The goal of this system is to enhance complex command and control tasks by improving situational awareness and automating task assignments. This system concept includes adaptive information fusion techniques integrated with decentralized control mechanisms for dynamic resource configuration management and task execution management under uncertainty. Autonomously operating agents employ collaboration and coordination to collectively form an intelligent decision support system. © 2012 ISCRAM. |
Address |
School of Interactive Arts and Technology, Simon Fraser University, Canada; School of Computing Science, Simon Fraser University, Canada |
Corporate Author |
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Thesis |
|
Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Poster Session |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
139 |
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Author |
Dennis J. King |
Title |
VISTA-a visualization analysis tool for humanitarian situational awareness |
Type |
Conference Article |
Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
Volume |
|
Issue |
|
Pages |
11-16 |
Keywords |
Flow visualization; Information systems; Common operating pictures; Department of state; Humanitarian Situational Analysis; Situational awareness; Temporal analysis; Textual information; Visualization analysis; Web-based visualization; Visualization |
Abstract |
The US Department of State's Humanitarian Information Unit (HIU) is developing a new product and web-based visualization analysis tool, known as VISTA (Visualized Information & Synthesized Temporal Analysis). VISTA displays geo-spatial, temporal, numerical/graphic data and textual information, all in one product or via a web interface. VISTA is primarily intended for use by decision-makers, analysts, desk/project officers, and others to provide up-to-date common operating picture ie a vista about an emergency, issue or project. |
Address |
US Department of State, Humanitarian Information Unit, United States |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
|
Track |
Position and Research in Progress Papers |
Expedition |
|
Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
652 |
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Author |
Kristine Steen-Tveit |
Title |
Identifying Information Requirements for Improving the Common Operational Picture in Multi-Agency Operations |
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 |
252-263 |
Keywords |
Situational Awareness, Common Operational Picture, Information Sharing, Common Information Requirements, Multi-Agency Emergency Operations. |
Abstract |
While there exists a considerable body of literature on the importance of a common operational picture (COP) in multi-agency emergency operations, the COP concept itself still lacks a univocal definition. Despite the lack of consensus regarding the mechanisms underlying the COP, the literature implies a level of consistency in the focus on sharing critical information. Based on interviews with Norwegian emergency management stakeholders, this study investigates common information requirements for emergency management services and presents an example of a framework for structuring the sharing of critical information and building a COP. Termed 'the window report', this framework is used among emergency stakeholders in Norway and Sweden. The study identified eight common information requirement categories for managing extreme weather scenarios. With a focus on common information needs and a process for structured information sharing, future strategic emergency management planning might take a more holistic perspective on cross-sectoral operations than in current practice. |
Address |
Centre for Integrated Emergency Management, University of Agder |
Corporate Author |
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Thesis |
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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 |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
978-1-949373-27-25 |
ISBN |
2411-3411 |
Medium |
|
Track |
Command & Control Studies |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
kristine.steen-tveit@uia.no |
Approved |
no |
Call Number |
|
Serial |
2226 |
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Author |
Kristine Steen-Tveit; Jaziar Radianti |
Title |
Analysis of Common Operational Picture and Situational Awareness during Multiple Emergency Response Scenarios |
Type |
Conference Article |
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
Volume |
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Issue |
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Pages |
|
Keywords |
Full-scale drill, elicitation methods, situational awareness, common operational picture, information needs. |
Abstract |
Disaster response operations require communication and coordination between agencies that seldom occurs in everyday workday situations. Furthermore, in such hybrid environments it is necessary to establish a common operational picture for the responders involved to support collaborative decision-making. The emergency responders must gain situational awareness, and this can further affect the quality of how they deal with the situation. Training in emergency situations is shown to be efficient for learning. In order to understand the complexity of working in unpredictable environments, an analysis of an audio-log from a large-scale drill was carried out. Moreover, this paper provides a definition of several categories for identifying the processes to establish situational awareness and a common operational picture among emergency responders. The analysis process revealed how the actors communicate and revealed an overall communication pattern. |
Address |
University of Agder, Norway, Norway |
Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
|
Track |
T2- Command and control studies |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1931 |
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Author |
Kristine Steen-Tveit; Jaziar Radianti; Bjørn Erik Munkvold |
Title |
SMS-based real-time data collection for evaluation of situational awareness and common operational picture: lessons learned from a field exercise |
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 |
276-284 |
Keywords |
Real-time Data Collection, Emergency Exercises, Situational Awareness, Common Operational Picture. |
Abstract |
Managing complex multi-agency emergency operations requires that the key actors have a holistic, correct and dynamic situational awareness (SA) and that the involved actors establish a common operational picture (COP). Establishing SA and COP are key objectives in many multi-agency exercises, however, reported research shows limitations in existing methods and approaches for collecting the data required for evaluating this. By being able to capture near real-time information during different phases of the exercise we will be better positioned to identify what works well and what does not work in the process of establishing SA and COP. Our paper presents an example of real-time data collection using SMS during a multi-agency field exercise. Overall, the results support the idea of this as an effective method for collecting real-time data for analyzing the formation of SA and a COP among actors in emergency management. |
Address |
Centre for Integrated Emergency Management (CIEM), University of Agder, Norway; University of Agder, Norway; University of Agder, Norway |
Corporate Author |
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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 |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
978-1-949373-27-27 |
ISBN |
2411-3413 |
Medium |
|
Track |
Command & Control Studies |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
kristine.steen-tveit@uia.no |
Approved |
no |
Call Number |
|
Serial |
2228 |
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Author |
Stas Simon Krupenia; Cécilia Aguero; Kees C.H.M. Nieuwenhuis |
Title |
The value of different media types to support command and control situation awareness |
Type |
Conference Article |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Information systems; Military operations; Probes; Audio; C2; Command and control; Photo; Situational awareness; Video; Video cameras |
Abstract |
We investigated the value of different media types (Photo, Video, Audio) to support the situational awareness of a Command and Control (C2) officer monitoring three simultaneous military operations. Twenty-one Polish soldiers individually monitored the real-time battlefield information collected by three (virtual, scripted) platoons. Twice during the monitoring task a series of Situation Awareness (SA) probes were presented (Endsley, 1995). At the end of the task, participants were also given a series of meta-SA probes and preference questions. We found that Video supported Level 2 SA (comprehension) better than the other two media types. We also found that participants preferred to receive information in the Photos and Audio clips than in Video. We conclude that if the goal of the C2 team is to better understand the global situation, then providing the persons-in-the-field with video cameras is a valid solution. However, we obtained no evidence to suggest that such an approach supports the ability to predict what may occur in the future (Level 3 SA). © 2012 ISCRAM. |
Address |
Thales Research and Technology, Netherlands |
Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Command and Control Studies |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
146 |
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Author |
Shalini Kurapati; Gwendolyn Kolfschoten; Alexander Verbraeck; Thomas M. Corsi; Frances Brazier |
Title |
Exploring shared situational awareness in supply chain disruptions |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
|
Issue |
|
Pages |
151-155 |
Keywords |
Information analysis; Information systems; Information sharing; Serious games; Shared situational awareness; Supply chain visibility; Supply-chain disruptions; Supply chains |
Abstract |
Risk and volatility in the form of political issues, natural disasters, terrorism etc., are impending dangers to the normal functioning of today's world. Supply Chains (SCs) are the backbone to societal functions and are heavily affected when such events occur. SC professionals have limited preparedness to deal with disruptions. Shared Situational Awareness (SSA) by means of information sharing, coordination and collaboration among SC partners, can significantly improve the recovery capacity of supply chains from disruptions. To prepare SC professionals for disruptions, a serious game (a tabletop board game) has been developed. The game serves both as an instrument to explore SSA during disruptions and as a training tool for SC practitioners. The paper discusses the design, development and applicability of the serious game based on an SSA framework in multistakeholder systems. |
Address |
TU Delft, Netherlands; University of Maryland, United States |
Corporate Author |
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Thesis |
|
Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Coordination and Collaboration |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
663 |
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Author |
Erkki Kurkinen; Helen T. Sullivan; Markku Häkkinen; Markku Lauttamus |
Title |
Optimizing mobile social media interfaces for rapid internal communication by emergency services |
Type |
Conference Article |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Emergency services; Human computer interaction; Information systems; Law enforcement; Social networking (online); Tracking (position); User interfaces; Geolocations; Interaction methods; Internal communications; Mobile social medias; Operational efficiencies; Situational awareness; Social media; Social media concepts; Mobile devices |
Abstract |
Social media tools are seeing use in crisis situations. Authorities have recognized the value of such tools and are beginning to use services such as Facebook and Twitter to disseminate official information. However, the use of the social media concept as an internal, operational tool by emergency services is in its early stages. Current social media tools for mobile devices are of potential value, yet security concerns can render such systems unsuitable for operational use, and the user interface can hinder operational efficiency due to the inheritance of a text based model for input and display. The research to be described is examining interaction methods that may improve the efficiency and usability of mobile device-based social media for operational use by police services. A Twitter like model for police activity reports can provide a means for enhanced situational awareness for police command authorities, and for individual officers or patrol units engaged in the “professional” media interchanges. The proposed model, SUMO, is based on a hybrid symbolic and text interface to rapidly enter status, integrated with geolocation, and sensor-based data to automatically capture key information, and thereby minimizing the amount effort required create a complete status update. |
Address |
University of Jyväskylä, Finland; Rider University, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Human-Computer Interaction |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
665 |
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Author |
Kimmo Laakso |
Title |
Emergency management: Identifying problem domains in communication |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
|
Issue |
|
Pages |
724-729 |
Keywords |
Accidents; Civil defense; Communication; Disasters; Information systems; Risk analysis; Risk assessment; Delphi method; Emergency management; Major accidents; Organizational cultures; Problem domain; Response plans; Short term planning; Situational awareness; Risk management |
Abstract |
In emergency management, the identification of hazards, analysis of risks, development of mitigation and response plans, maintaining of situational awareness and support of response and recovery are all complex responsibilities. A major accident brings together individuals belonging to many different organizations, having backgrounds in different fields of operation, and representing different organizational cultures. They have to absorb a large amount of information about the accident over a short period of time. In order to take effective action, actors are expected to work smoothly together, thus the flow of information from and to the actors involved is crucial. Nevertheless, there are certain problem domains in the different phases of emergency management, which may weaken the flow of information. In this paper we present the findings of the first round of a Delphi study in which we identified problem domains in communication both in long-term and short-term planning for major accidents. |
Address |
Finland Futures Research Centre, Ahma Engineers Ltd., University of Turku, Finland |
Corporate Author |
|
Thesis |
|
Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Planning and Foresight |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
668 |
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Author |
Lamsal, R.; Read, M.R.; Karunasekera, S. |
Title |
A Twitter narrative of the COVID-19 pandemic in Australia |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
353-370 |
Keywords |
Crisis Informatics; Situational Awareness; Topic Modeling; Granger Causality; Network Analysis |
Abstract |
Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous studies confirm the usefulness of such socially generated discussions for the public, first responders, and decision-makers to gain a better understanding of events as they unfold at the ground level. This study performs an extensive analysis of COVID-19-related Twitter discussions generated in Australia between January 2020, and October 2022. We explore the Australian Twitterverse by employing state-of-the-art approaches from both supervised and unsupervised domains to perform network analysis, topic modeling, sentiment analysis, and causality analysis. As the presented results provide a comprehensive understanding of the Australian Twitterverse during the COVID-19 pandemic, this study aims to explore the discussion dynamics to aid the development of future automated information systems for epidemic/pandemic management. |
Address |
The University of Melbourne |
Corporate Author |
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Thesis |
|
Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
|
Original Title |
|
Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
1 |
ISSN |
|
ISBN |
|
Medium |
|
Track |
Social Media for Crisis Management |
Expedition |
|
Conference |
|
Notes |
http://dx.doi.org/10.59297/GQED8281 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2531 |
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Author |
Vitaveska Lanfranchi; Suvodeep Mazumdar; Fabio Ciravegna |
Title |
Visual design recommendations for situation awareness in social media |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
792-801 |
Keywords |
Data visualization; Design; Information systems; Visualization; Design recommendations; Emergency responders; Online social medias; Real-time information; Situation awareness; Situational awareness; Social media; Visual analytics; Emergency services |
Abstract |
The use of online Social Media is increasingly popular amongst emergency services to support Situational Awareness (i.e. accurate, complete and real-time information about an event). Whilst many software solutions have been developed to monitor and analyse Social Media, little attention has been paid on how to visually design for Situational Awareness for this large-scale data space. We describe an approach where levels of SA have been matched to corresponding visual design recommendations using participatory design techniques with Emergency Responders in the UK. We conclude by presenting visualisation prototypes developed to satisfy the design recommendations, and how they contribute to Emergency Responders' Situational Awareness in an example scenario. We end by highlighting research issues that emerged during the initial evaluation. |
Address |
OAK Group, University of Sheffield, United Kingdom |
Corporate Author |
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Thesis |
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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. |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Visual Analytics for Crisis Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
678 |
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Author |
Laura Petersen; Laure Fallou; Grigore Havarneanu; Paul Reilly; Elisa Serafinelli; Rémy Bossu |
Title |
November 2015 Paris Terrorist Attacks and Social Media Use: Preliminary Findings from Authorities, Critical Infrastructure Operators and Journalists |
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 |
629-638 |
Keywords |
Social media, crisis communication, situational awareness, Paris terrorist attacks, terrorism. |
Abstract |
Crisis communication is a key component of an effective emergency response. Social media has evolved as a prominent crisis communication tool. This paper reports how social media was used by authorities, critical infrastructure operators and journalists during the terrorist attacks that hit Paris on 13th November 2015. A qualitative study was conducted between January and February 2017 employing semi-structured interviews with seven relevant stakeholders involved in this communication process. The preliminary critical thematic analysis revealed four main themes which are reported in the results section: (1) social media is used in crisis times; (2) authorities gained situational awareness via social media; (3) citizens used social media to help one another; and (4) communication procedures changed after these critical events. In conclusion, authorities, citizens and journalists all turned to social media during the attack, both for crisis communication and for increasing situational awareness. |
Address |
|
Corporate Author |
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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 |
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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 |
2137 |
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Author |
Lise Ann St. Denis; Amanda Lee Hughes; Jeremy Diaz; Kylen Solvik; Maxwell B. Joseph; Jennifer K. Balch |
Title |
'What I Need to Know is What I Don't Know!': Filtering Disaster Twitter Data for Information from Local Individuals |
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 |
730-743 |
Keywords |
Crisis Informatics, Social Media, Emergency Management, Situational Awareness. |
Abstract |
We report on the design, development, and evaluation of a user labeling framework for social media monitoring by emergency responders. By labeling Twitter user accounts based on behavior and content, this novel approach identifies tweets from accounts belonging to Individuals generating Personalized content and captures information that might otherwise be missed. We evaluate the framework using training data from the 2018 Camp, Woolsey, and Hill fires. Approximately 30% of the Individual-Personalized tweets contain first-hand information, providing a rich stream of content for social media monitoring. Because it can quickly eliminate most redundant tweets, this framework could be a critical first step in an end-to-end information extraction pipeline. It may also generalize more easily for new disaster events since it relies on general user account attributes rather than tweet content. We conclude with next steps for refining and evaluating our framework in near real-time during a disaster response. |
Address |
CIRES, Earth Lab, University of Colorado, Boulder; Crisis Informatics Lab Brigham Young University; Institute for Computational and Data Sciences, Department of Geography, Penn State University; CIRES, Earth Lab, Department of Geography, University of Colorado, Boulder; CIRES, Earth Lab, University of Colorado, Boulder; CIRES, Earth Lab, Department of Geography, University of Colorado, Boulder |
Corporate Author |
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Thesis |
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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 |
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Series Title |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-66 |
ISBN |
2411-3452 |
Medium |
|
Track |
Social Media for Disaster Response and Resilie |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
Lise.St.Denis@Colorado.edu |
Approved |
no |
Call Number |
|
Serial |
2267 |
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Author |
Ly Dinh; Sumeet Kulkarni; Pingjing Yang; Jana Diesner |
Title |
Reliability of Methods for Extracting Collaboration Networks from Crisis-related Situational Reports and Tweets |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the ISCRAM Asia Pacific Conference 2022 |
Abbreviated Journal |
Proc. ISCRAM AP 2022 |
Volume |
|
Issue |
|
Pages |
181-195 |
Keywords |
Collaboration Networks; Natural Language Processing; Interorganizational Collaboration; Situational Awareness |
Abstract |
Assessing the effectiveness of crisis response is key to improving preparedness and adapting policies. One method for response evaluation is reviewing actual response activities and interactions. Response reports are often available in the form of natural language text data. Analyzing a large number of such reports requires automated or semi automated solutions. To improve the trustworthiness of methods for this purpose, we empirically validate the reliability of three relation extraction methods that we used to construct interorganizational collaboration networks by comparing them against human-annotated ground truth (crisis-specific situational reports and tweets). For entity extraction, we find that using a combination of two off-the-shelf methods (FlairNLP and SpaCy) is optimal for situational reports data and one method (SpaCy) for tweets data. For relation extraction, we find that a heuristics-based model that we built by leveraging word co-occurrence and deep and shallow syntax as features and training it on domain-specific text data outperforms two state-of-the-art relation extraction models (Stanford OpenIE and OneIE) that were pre-trained on general domain data. We also find that situational reports, on average, contain less entities and relations than tweets, but the extracted networks are more closely related to collaboration activities mentioned in the ground truth. As it is widely known that general domain tools might need adjustment to perform accurately in specific domains, we did not expect the tested off-the-shelf tools to perform highly accurately. Our point is to rather identify what accuracy one could reasonably expect when leveraging available resources as-is for domain specific work (in this case, crisis informatics), what errors (in terms of false positives and false negatives) to expect, and how to account for that. |
Address |
University of South Florida; University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign |
Corporate Author |
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Thesis |
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Publisher |
Massey Unversity |
Place of Publication |
Palmerston North, New Zealand |
Editor |
Thomas J. Huggins, V.L. |
Language |
English |
Summary Language |
|
Original Title |
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Series Editor |
|
Series Title |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-0-473-66845-7 |
Medium |
|
Track |
Social Media for Disaster Response |
Expedition |
|
Conference |
|
Notes |
|
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2492 |
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Author |
David F. Merrick; Tom Duffy |
Title |
Utilizing community volunteered information to enhance disaster situational awareness |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
|
Issue |
|
Pages |
858-862 |
Keywords |
Civil defense; Disasters; Information systems; Risk management; Social networking (online); Community volunteered information; Crowd sourcing; Facebook; Situational awareness; Social media; Twitter; Emergency services |
Abstract |
Social media allows the public to engage in the disaster response and recovery process in new and exciting ways. Many emergency management agencies in the United States are embracing social media as a new channel for alerts, warnings, and public outreach, but very few are mining the massive amounts of data available for use in disaster response. The research reflected in this paper strives to help emergency management practitioners harness the power of community volunteered information in a way that is still novel in most parts of the country. Field verification and research combined with survey results attempts to identify and solve many of the barriers to adoption that currently exist. By helping practitioners understand the virtues and limitations of this type of data and information, this research will encourage the use of community volunteered information in the emergency operations center. |
Address |
Florida State University, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Social Media |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
767 |
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Author |
Nathan Elrod; Pranav Mahajan; Monica Katragadda; Shane Halse; Jess Kropczynski |
Title |
An Exploration of Methods Using Social Media to Examine Local Attitudes Towards Mask-Wearing During a Pandemic |
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 |
345-358 |
Keywords |
Social media analytics, situational awareness, sentiment analysis, n-grams, social network analysis |
Abstract |
During the COVID-19 health crisis, local public offcials expend considerable energy encouraging citizens to comply with prevention measures in order to reduce the spread of infection. During the pandemic, mask-wearing has been accepted among health offcials as a simple preventative measure; however, some local areas have been more likely to comply than others. This paper explores methods to better understand local attitudes towards mask-wearing as a tool for public health offcials' situational awareness when preparing public messaging campaigns. This exploration compares three methods to explore local attitudes: sentiment analysis, n-grams, and hashtags. We also explore hashtag co-occurrence networks as a starting point to begin the filtering process. The results show that while sentiment analysis is quick and easy to employ, the results oer little insight into specific local attitudes towards mask-wearing, while examining hashtags and hashtag co-occurrence networks may be used a tool for a more robust understanding of local areas when attempting to gain situational awareness. |
Address |
University of Cincinnati; University of Cincinnati; University of Cincinnati; University of Cincinnati; University of Cincinnati |
Corporate Author |
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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 |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
Track |
Disaster Public Health & Healthcare Informatics in the Pandemic |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
elrodnj@ucmail.uc.edu |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2338 |
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Author |
Babajide Osatuyi; Michael J. Chumer |
Title |
An empirical investigation of alert notifications: A temporal analysis approach |
Type |
Conference Article |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Social networking (online); Time series analysis; Alert notification; Emergency responders; Empirical investigation; Information and Communication Technologies; Intelligence gathering; Situational awareness; Social Network Sites; Temporal analysis; Information systems |
Abstract |
As the deployment of situational awareness mechanisms such as geothermal sensors, use of social network sites, and information and communication technologies (e.g., cell phones) become increasingly widespread to emergency responders, the problem of alert analysis has become very important. Broadcast of large amounts of alerts sent back to command centers for processing may impair the ability of analysts to connect dots that may otherwise adequately enable them to make informed decisions in a timely fashion. This paper investigates trends and patterns embedded in alert notifications generated over a given period of time in order to uncover correlations that may exist in the data. Data for this study are obtained from the National Center for Crisis and Continuity Coordination (NC4). We employ classical time series analysis to understand, explain and predict trends and patterns in the data. This work presents results obtained thus far in the quest for the effect of passage of time on alert patterns. Implications of this work in practice and research are discussed. |
Address |
New Jersey Institute of Technology, United States |
Corporate Author |
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Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Open Track |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
817 |
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Author |
Christopher E. Oxendine; Emily Schnebele; Guido Cervone; Nigel Waters |
Title |
Fusing non-authoritative data to improve situational awareness in emergencies |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
762-766 |
Keywords |
Damage detection; Earth (planet); Damage assessments; Emergency; Emergency evacuation; Emergency operations; Evacuation; Non-authoritative data; Situational awareness; Spatio-temporal data; Information systems |
Abstract |
In order to coordinate emergency operations and evacuations, it is vital to accurately assess damage to people, property, and the environment. For decades remote sensing has been used to observe the Earth from air, space and ground based sensors. These sensors collect massive amounts of dynamic and geographically distributed spatiotemporal data every day. However, despite the immense quantity of data available, gaps are often present due to the specific limitations of the sensors or their carrier platforms. This article illustrates how nonauthoritative data such as social media, news, tweets, and mobile phone data can be used to fill in these gaps. Two case studies are presented which employ non-authoritative data to fill in the gaps for improved situational awareness during damage assessments and emergency evacuations. |
Address |
Department of Geography and Environmental Engineering, United States Military Academy, United States; Department of Geography and GeoInformation Science, George Mason University, United States; Department of Geography, Penn State University, United States |
Corporate Author |
|
Thesis |
|
Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Social Media in Crisis Response and Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
825 |
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|
Author |
Jack Pagotto; Darrell O'Donnell |
Title |
Canada's multi-agency situational awareness system – Keeping it simple |
Type |
Conference Article |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Atoms; Bioinformatics; Civil defense; Computer architecture; Disasters; Geographic information systems; Information dissemination; Information systems; Maps; Risk management; Virtual reality; Cap; Collaboration; Common alerting protocols; Data aggregation; Emergency management; GeoRSS; Hub; Incident; Information exchanges; Multi agencies; Open Standards; Situational awareness; System-of-systems; Information management |
Abstract |
The Canadian Multi-Agency Situational Awareness System (MASAS) is rapidly becoming Canada's national system for exchanging emergency management incident-relevant information amongst multiple agencies and jurisdictions. Through the use of structured information aligned with open standards, and a centrally managed open architecture, MASAS provides a trusted virtual community with the ability to seamlessly exchange emergency management information. MASAS offers an information exchange architecture that is based around a highly resilient system of data aggregation hubs that are easily accessible directly or through third party commercial tools by emergency management officials at all levels, from the smallest community in the most remote areas of Canada's north to key federal stakeholders such as the federal Government Operations Centre or the Canadian military. This paper highlights the key design principles, experimental activities, and technology implementation strategies that are positioning MASAS as a Canadian success story in the making – from coast to coast to coast. © 2012 ISCRAM. |
Address |
Centre for Security Science, Canada; Continuum Loop Inc., Canada |
Corporate Author |
|
Thesis |
|
Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Inter-Organizational Exercises and Operations |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
182 |
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Author |
Paulini, M.S.; Duran, D.; Rice, M.; Andrekanic, A.; Suri, N. |
Title |
KENNEL Threat Detection Boxes for First Responder Situational Awareness and Risk Management |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
208-219 |
Keywords |
Situational Awareness; Hazard Detection; Microsensors; Sensor Fusion; Risk Management |
Abstract |
KENNEL is a deployable IoT-based system consisting of a network of unattended ground sensors, known as Threat Detection Boxes (TDBs), which may be outfitted with any variety of custom and commercial-off-the-shelf sensors for hazard detection. The KENNEL system fills a technological gap for sensor fusion, interpretation, and real-time alerting via existing information management systems, such as Team Awareness Kit (TAK). First responders face a critical need for improved situational awareness, detection, and response to hazardous events. KENNEL provides a first of its kind, low-cost sensing & data fusion platform that is highly extensible, configurable, and self-sustaining, opening a world of modernization and innovation possibilities across the first responder domain. TDBs may also be statically or ad hoc deployed, improving flexibility, stand-off hazard detection, and resilience in the operational domain. From critical infrastructure monitoring to wearables, the system affords timeliness of critical information for effective risk management and increased personnel safety. |
Address |
Air Force Research Laboratory (AFRL/RISD); Institute for Human and Machine Cognition; Institute for Human and Machine Cognition; Air Force Research Laboratory (AFRL/RISD); Institute for Human and Machine Cognition |
Corporate Author |
|
Thesis |
|
Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
|
Original Title |
|
Series Editor |
Hosssein Baharmand |
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
1 |
ISSN |
|
ISBN |
|
Medium |
|
Track |
Technologies for First Responders |
Expedition |
|
Conference |
|
Notes |
http://dx.doi.org/10.59297/PCYP5515 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2519 |
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