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Author |
Hans Abbink; Roel Van Dijk; Tamas Dobos; Mark Hoogendoorn; Catholijn M. Jonker; Savas Konur; Peter-Paul Van Maanen; Viara Popova; Alexei Sharpanskykh; Peet Van Tooren; Jan Treur; Jeroen M. Valk; Lai Xu; Pinar Yolum |
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Title |
Automated support for adaptive incident management |
Type |
Conference Article |
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Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
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Volume |
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Issue |
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Pages |
69-74 |
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Keywords |
Cybernetics; Information systems; Adaptive; Automated support; Dynamic property; Formal analysis; Incident Management; Intermediate results; Multi-agent; Automation |
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Abstract |
The project CIM, started in 2003, addresses the problem of automated support for incident management. In this paper some intermediate results are shown, especially on automated support of analysis of errors in traces of incident management. For such traces it can be checked automatically which dynamic properties hold or fail. The potential of the approach is shown in the formal analysis of a given empirical trace. The approach can also be applied in conjunction with simulation experiments. © Proceedings ISCRAM 2004. |
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Address |
Almende, Westerstraat 50, 3016 DJ Rotterdam, Netherlands; Department of Artificial Intelligence, Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam, Netherlands |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9076971080 |
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Track |
POSTER SESSION |
Expedition |
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Conference |
1st 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 |
65 |
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Author |
Rebecca E. Carella; Susan P. McGrath |
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Title |
ARTEMIS personal area networks for emergency remote triage and information management |
Type |
Conference Article |
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Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
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Volume |
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Issue |
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Pages |
592-597 |
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Keywords |
Automation; Personal communication systems; Risk management; Artemis; Automated systems; Embedded sensors; Emergency management; Emergency response; Patient survivals; Remote location; Situational awareness; Information management |
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Abstract |
The Automated Remote Triage and Emergency Management Information System (ARTEMIS) project seeks to provide situational awareness to all level of commands in order to increase patient survival rate during emergencies. By moving the burden of triage off of the medic and into an automated system, more time will be able to be spent on casualty care rather than assessment. Continual monitoring of responders and casualties will alert medics of critical changes in a patient's health that might normally have gone undetected after a patient is initially triaged. ARTEMIS employs a network of embedded sensors worn by responders and casualties to gather the data required for greater situational awareness and to relay the data back to appropriate levels of command both on the field and in remote locations. |
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Address |
Dartmouth College, United States |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
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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 |
9090206019; 9789090206011 |
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Track |
PERSONAL AREA NETWORKS FOR EMERGENCY RESPONSE |
Expedition |
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Conference |
3rd 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 |
374 |
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Author |
Tina Comes; Claudine Conrado; Michael Hiete; Michiel Kamermans; Gregor Pavlin; Niek Wijngaards |
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Title |
An intelligent decision support system for decision making under uncertainty in distributed reasoning frameworks |
Type |
Conference Article |
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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 |
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Volume |
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Issue |
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Pages |
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Keywords |
Automation; Civil defense; Decision making; Decision support systems; Disasters; Expert systems; Information systems; Intelligent systems; Multi agent systems; Risk management; Decision making under uncertainty; Distributed decision support systems; Distributed reasonings; Emergency management; Intelligent decision support systems; Multi-criteria decision analysis; Scenario-based; Theoretical framework; Information filtering |
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Abstract |
This paper presents an intelligent system facilitating better-informed decision making under severe uncertainty as found in emergency management. The construction of decision-relevant scenarios, being coherent and plausible descriptions of a situation and its future development, is used as a rationale for collecting, organizing, filtering and processing information for decision making. The development of scenarios is geared to assessing decision alternatives, thus avoiding time-consuming analysis and processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios, which was constructed using the best expertise available within a limited timeframe. Our theoretical framework is demonstrated in a distributed decision support system by orchestrating both automated systems and human experts into workflows tailored to each specific problem. |
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Address |
Institute for Industrial Production, Karlsruhe Institute of Technology (KIT), Germany; D-CIS Lab / Thales Research and Technology, Netherlands |
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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 |
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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 |
Intelligent Systems |
Expedition |
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Conference |
7th 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 |
406 |
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Author |
Therese Friberg; Stephan Prödel; Rainer Koch |
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Title |
Information quality criteria and their importance for experts in crisis situations |
Type |
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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Pages |
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Keywords |
Automation; Information systems; Crisis management; Crisis situations; Domain experts; Expert validation; Information quality; Information analysis |
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Abstract |
In the past a lot of researchers have defined criteria to determine information quality. Various criteria and dimensions have been identified and examined in different contexts. But very few of them focused on information quality in the context of complex situations, especially in the domain of crisis management. These complex situations demand for an extensive level of information as a basis to the difficult decisions an officer-in-charge has to make. Therefore, if we want to support the decision-making of the leading officers through an at least semi-automated process, we need first of all to find a set of criteria to assess the information quality considering the special requirements of such complex situations. In this paper we describe our approach of defining a criteria set by identifying the characteristics of complex situations, then we analyze existing models of information quality and map their aggregated criteria to the identified characteristics and finally first results of interviews to evaluate the set through the involvement of domain experts are presented. |
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Address |
University of Paderborn, C.I.K, Germany |
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Thesis |
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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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Series Editor |
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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 |
9789724922478 |
Medium |
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Track |
Analytical Information Systems |
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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Approved |
no |
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Call Number |
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Serial |
515 |
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Author |
Sung Pil Moon; Yikun Liu; Steven O. Entezari; Afarin Pirzadeh; Andrew Pappas; Mark Pfaff |
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Title |
Top health trends: An information visualization tool for awareness of local health trends |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
177-187 |
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Keywords |
Automation; Decision support systems; Information analysis; Public health; Social networking (online); Automated process; Decision aids; Health trends; Information visualization; Intelligent information; Natural disasters; Situation awareness; Visualization technique; Information systems |
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Abstract |
We developed an intelligent information visualization tool to enable public health officials to detect healthrelated trends in any geographic area of interest, based on Twitter data. Monitoring emergent events such as natural disasters, disease outbreaks, and terrorism is vital for protecting public health. Our goal is to support situation awareness (SA) for personnel responsible for early detection and response to public health threats. To achieve this goal, our application identifies the most frequently tweeted illnesses in a ranked chart and map for a selected geographic area. Automated processes mine and filter health-related tweets, visualize changes in rankings over time, and present other keywords frequently associated with each illness. User-centered visualization techniques of monitoring, inspecting, exploring, comparing and forecasting supports all the three stages of SA. An evaluation conducted with experts in health-related domains provided significant insights about awareness of localized health trends and their practical use in their daily work. |
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Address |
Indiana University, IN, United States; MESH Coalition, IN, United States |
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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 |
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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 |
9783923704804 |
Medium |
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Track |
Critical Infrastructures |
Expedition |
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Conference |
10th 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 |
783 |
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Author |
Krispijn Scholte; Leon J.M. Rothkrantz |
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Title |
Personal warning system for vessels under bad weather conditions |
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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Volume |
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Issue |
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Pages |
359-368 |
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Keywords |
Alarm systems; Automation; Information systems; Meteorology; Waterway transportation; Weather forecasting; Automatic identification system; Bayesian reasoning; Context sensitive; Early Warning System; Maritime surveillance; Ships |
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Abstract |
Many services provide weather forecasts, including severe weather alerts for the marine. It proves that many ships neglect the warnings because they expect to be able to handle the bad weather conditions. In order to identify possible unsafe situations the Coast Guard needs to observe marine vessel traffic 24 hours, 7 days a week. In this paper we propose a system that is able to support the Coast Guard. Ships can be localized and tracked individually using the Automatic Identification System (AIS). We present a system which is able to send a personal alert to ships expected to be in danger now or the near future. Ships will be monitored in the dangerous hours and routed to safe areas in the shortest time. The system is based on AIS data, probabilistic reasoning and expertise from the Coast Guard. A first prototype will be presented for open waters around the Netherlands. |
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Address |
Staff Regulations at Royal Netherlands Navy, Netherlands; Delft University of Technology, Netherlands |
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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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Series Editor |
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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 |
9780692211946 |
Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
11th 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 |
922 |
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Author |
Xaroula Kerasidou; Monika Büscher; Michael Liegl |
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Title |
Don?t Drone? Negotiating Ethics of RPAS in Emergency Response |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Volume |
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Pages |
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Keywords |
Automation; drones; posthuman phenomenology; responsibility; RPAS |
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Abstract |
This paper explores discourses of automation as a key ethical concern in the development of Remotely Piloted Aircraft Systems for disaster response. We discuss problems arising from ?humanistic? dichotomies that pit human against machine, military against civil uses and experts against laypersons. We explore how it may be possible to overcome human-technology dichotomies. |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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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 |
9788271177881 |
Medium |
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Track |
Ethical, Legal and Social Issues |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International 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 |
1198 |
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