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Author |
Angela I. Chung; Jesse F. Lawrence; Carl Christensen |
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Title |
Evaluating the integrability of the quake-catcher network (QCN) |
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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Pages |
386-390 |
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Keywords |
Information systems; Earthquake detection; Earthquake early warning systems; Integrability; New zealand; Seismic networks; Urban networks; Earthquakes |
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Abstract |
This paper reviews the Quake-Catcher Network (QCN), a distributed computing seismic network that uses lowcost USB accelerometers to record earthquakes, and discusses the potential to incorporate QCN stations with traditional seismic networks. These very dense urban networks could then be used to create a working earthquake early warning system, as has been shown by our preliminary tests of the QCN in Christchurch, New Zealand. Although we have not yet attempted to add traditional seismometers to the QCN or supplement existing seismic networks with QCN sensors, we suggest that to do so would not be difficult, due to the simple nature of our network. |
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Stanford University, 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 |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
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Track |
Emergency Management Information Systems |
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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 |
398 |
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Author |
Dimitrios Kavallieros; George Leventakis; Stefanos Malliaros; Ioannis Daniilidis; Vasileios Grizis |
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Title |
PPDR Information Systems ? A Current Status Review Report |
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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Pages |
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Keywords |
Disaster Management; Disaster Preparedness; Early warning systems; Information Systems |
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Abstract |
Public safety organizations include emergency and law enforcement agencies, fire departments, rescue squads, and Emergency Medical Services (EMS). In response to increasing threats of terrorism and natural disasters, safety and security personnel must overcome technology barriers to enhance their efficiency, especially in the neuralgic section of information exchange. Limited availability of information hinders the response time and decision making process. Efficient communications supported by interoperable technology are vital to the situational awareness, scalability, and effectiveness of incident response. This paper?s prime objective is the review of available information systems than can be used to support and assist security agencies. |
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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 Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
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Track |
Planning, Foresight and Risk Analysis |
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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Approved |
yes |
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Call Number |
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Serial |
1307 |
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Author |
Simone Wurster; Michael Klafft; Marcel Kühn |
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Title |
Beyond Saving Lives: Assessing the Economic Benefits of Early Warning Apps for Companies in the Context of Hydrological Hazards |
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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Keywords |
cost-benefit analysis; Early warning systems; warning apps; natural disasters |
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Abstract |
Natural and man-made hazards are increasingly threatening modern societies. Therefore Turoff, Hiltz, Bañuls and Van Den Eede (2013) highlight the need for boosting efforts in planning for emergencies. Advanced early warning systems (EWS) provide opportunities to increase the resilience of societies. Warning via mobile phones is considered to be the best way of alerting but few public authorities already use this warning channel. EWS also help to protect property but their implementation requires significant investments. Cost-benefit estimations are needed for public authorities, insurance companies and the users, particularly private households and enterprises. This paper contributes a disaster-independent formula to disaster research with specific applications for hydrological hazards. Illustrated by a heavy rain scenario, it shows, in particular, the benefits of EWS for companies. A specific focus is put on lead time aspects. |
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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 Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
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Track |
Planning, Foresight and Risk Analysis |
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 |
yes |
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Call Number |
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Serial |
1301 |
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Author |
Simone Wurster; Ulrich Meissen |
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Title |
Towards an economic assessment approach for early warning systems: Improving cost-avoidance calculations with regard to private households |
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 |
439-443 |
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Keywords |
Disasters; Investments; Early Warning System; Early warning systems; Economic assessments; Investment decisions; Quantitative assessments; Quantitative models; Theoretical framework; Warning technologies; Information systems |
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Abstract |
In recent years, Early Warning Systems (EWS) have proven their value by saving many lives. However, most in-vestments into EWS were motivated directly by experienced disaster events and rarely pro-actively by possible up-coming threats. In order to change that we think that besides ethical and humanitarian reasons also the positive economic effects should be analyzed. EWS also help to protect property, but their contribution is not as obvious in that field due to the lack of quantitative models. This paper presents a disaster-independent formula that shows the benefits of EWS. Additional value to existing approaches is based on its advanced focus on behavioral aspects and the benefits of EWS in comparison to warnings issued via social media. We consider this work as an important contribution for future investments into warning technologies. However, yet this model just provides a theoretical framework for necessary empirical studies that are subject of further research. |
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TU Berlin, Germany; Fraunhofer FOKUS, Germany |
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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 |
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Track |
Planning, Foresight and Risk Analysis |
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 |
1107 |
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Author |
Stella van Esch; Marc van den Homberg; Kees Boersma |
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Title |
Looking Beyond the Data: an Assessment of the Emerging Data Ecosystem of Nepal's Flood Early Warning Systems |
Type |
Conference Article |
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Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
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Volume |
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Issue |
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Pages |
282-293 |
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Keywords |
Floods, early warning systems, Nepal, data ecosystem, social shaping of technology |
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Abstract |
Increasingly, data-driven instruments are used in disaster risk reduction to foster more efficient, effective, and evidence-based decision-making. This data revolution brings along opportunities and challenges, which are sometimes related to the data itself, but more often seem related to the environment in which the data is put to use. To provide insight into such an emerging data ecosystem, this paper uses a qualitative case study to assess the use of data in flood early warning systems (EWS) in Nepal. In response to the research question 'How does the data ecosystem impact the opportunities and challenges regarding data use in flood early warning systems in Nepal?', this paper discusses the importance of considering the broader context instead of regarding data as an entity unto itself. It shows how actors, policies and other contextual factors impact the effectiveness of data use by either presenting opportunities, like the establishment of a national disaster data repository, or challenges, like inadequate human resources for working with data. |
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Address |
Vrije Universiteit Amsterdam; 510 – an initiative of The Netherlands Red Cross; Vrije Universiteit Amsterdam |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Edition |
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ISSN |
978-1-949373-61-5 |
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Track |
Data and Resilience: Opportunities and Challenges |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
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Notes |
s.r.van.esch@student.vu.nl |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2333 |
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Author |
Syed Imran; Franclin Foping; Ioannis M. Dokas; John Feehan |
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Title |
Towards domain specific modeling approach in early warning system |
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 |
Accident prevention; Information systems; Open source software; Software engineering; Water supply; Water treatment plants; Domain specific modeling; DSM approaches; Early warning; Early Warning System; Early warning systems; Governance models; Knowledge model; Monitoring mechanisms; Alarm systems |
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Abstract |
It is of practical significance and great value to design and develop a novel Early Warning System (EWS), which will be used by the personnel of institutions involved in the drinking water delivery governance model of Ireland. In order to help the users of our EWS in representing and codifying their knowledge on the complex coincidences that may drive Water Treatment Plants (WTP) to failures or to hazardous states we propose in this paper a novel approach of using Domain Specific Modeling (DSM) in the domain of EWS for Water Treatment Plants. The novelty of our DSM approach also lies in providing a standalone open source software application rendering profiling of the water utilities, early warning signals, monitoring mechanisms of signals along with capability of assessing the “tendency” of a WTP towards failure, given a set of observed early warning signals. |
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University College, Cork, Ireland |
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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 Volume |
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Edition |
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ISSN |
2411-3387 |
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Track |
Poster Session |
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 |
614 |
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Author |
Tina Comes; Brice Mayag; Elsa Negre |
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Title |
Beyond Early: Decision Support for Improved Typhoon Warning Systems |
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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Issue |
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Pages |
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Keywords |
Decision Support; Disaster Response; Early warning systems; indicator framework; Typhoon Haiyan; vulnerability assessment |
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Abstract |
Warnings can help prevent damage and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early warnings. In this paper we analyze the different systems in the light of the initial decisions that need to be made in the response to sudden onset disasters. We outline challenges of current practices and methods, and provide an agenda for future research.
To illustrate our approach, we present a case study of Typhoon Haiyan. Although meteorological services had issued warnings; relief goods were prepositioned; and responders predeployed, the delivery of aid was delayed in some of the worst hit regions. We argue for an integrated consideration of preparedness and response to provide adequate thresholds for early warning systems that focus on decision-makers needs. |
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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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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 |
Decision Support Systems |
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 |
yes |
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Call Number |
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Serial |
1279 |
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Author |
Ulrich Meissen; Agnès Voisard |
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Title |
Increasing the effectiveness of early warning via context-aware alerting |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
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Pages |
431-440 |
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Keywords |
Disaster prevention; Alert systems; Context-awareness; Disaster prevention and mitigations; Early Warning System; Early warning systems; Evaluation modeling; New information and communication technologies; Research results; Information systems |
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Abstract |
The effective implementation of early warning is one of the best investments for disaster prevention and mitigation. In the last decade, we have witnessed strong efforts and progress towards better risk detection, monitoring and prediction. However, the best warnings are ineffective if they cannot be distributed in a timely way and targeted to people at risk. With the evolvement of new Information and Communication Technologies, we have new opportunities and face new challenges for improving classical warning processes. Based on our experience and research results from two user-centered hydro-meteorological Early Warning Systems (EWS) we present an approach for context-aware alerting that can increase considerably the effectiveness of warning. Furthermore, we introduce an applied evaluation model for the effectiveness of an EWS. |
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Address |
Fraunhofer Institute for Software and Systems Engineering (ISST), Mollstr. 1, 10178 Berlin, Germany; Institute of Computer Science, FU Berlin, Germany |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original 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 |
9780615206974 |
Medium |
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Track |
Early Warning Systems |
Expedition |
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Conference |
5th 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 |
763 |
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Author |
Ulrich Meissen; Frank Fuchs-Kittowski |
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Title |
Towards a reference architecture of crowdsourcing integration in early warning systems |
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 |
334-338 |
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Keywords |
Disaster prevention; Disasters; Information systems; Management information systems; Alert systems; Architectural principles; Disaster management; Early warning; Early warning systems; Geo-crowdsourcing; Integrated architecture; Reference architecture; Architecture |
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Abstract |
Crowdsourcing has the potential to become a crucial information source in disaster management. In order to become effective as an integrated part of disaster management systems it is important to set the general architectural foundations for such integrations beyond prototypical experiments. This paper discusses general architectural principles of the application of crowdsourcing in Early Warning Systems (EWS). An integrated architecture is proposed to use classical sensor data and crowdsourcing in an EWS solution. Therefore, typical components of crowdsourcing applications are identified and mapped to monitoring subsystems of EWS's. Three main structural variants of applying crowdsourcing in early warning systems along the example of a prototypical extension of two existing large-scale hydro-meteorological warning systems are presented. |
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Address |
Fraunhofer FOKUS, HTW Berlin, Germany |
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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 |
Geographic Information Science |
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 |
761 |
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