Records |
Author |
Einar Bjørgo |
Title |
Satellite imagery and GIS for disaster response & management in the United Nations: The UNOSAT approach |
Type |
Conference Article |
Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
Volume |
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Issue |
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Pages |
105-110 |
Keywords |
Disaster prevention; Disasters; Geographic information systems; Human resource management; Information management; Information systems; Remote sensing; Satellite imagery; Space optics; Charter; Gmoss; Rapid mapping; Respond; United Nations; Emergency services |
Abstract |
Remote sensing and Geographic Information Systems (GIS) have the potential to provide United Nations (UN) humanitarian agencies and their partners with much needed disaster related information and improved management of resources. However, the technical nature of these tools requires considerable expertise to fully benefit from satellite images and related geographic information. The UN Office for Project Services (UNOPS) is implementing the UNOSAT service on behalf of the UN Institute on Training and Research (UNITAR) together with several private actors. UNOSAT provides the UN and its partners with the expertise in Earth Observation (EO) and GIS applications. As a crisis is part of a spectrum of disaster related events, UNOSAT provides services in all phases of humanitarian assistance, including planning, crisis response, relief and development. UNOSAT's objectives are to facilitate the territory planning and monitoring processes of local authorities, local technicians, development project managers and humanitarian field operators working in coordination with or within the framework of UN activities, on issues such as disaster management, risk prevention, peace keeping operations, post conflict reconstruction, environmental rehabilitation and social and economic development. A key part of this work is to accelerate and expand the use of accurate geographic information derived from EO-satellite imagery. UNOSAT is also involved in several international initiatives aimed at improved crisis response and management, such as the International Charter “Space and Major Disasters”, an important asset in providing timely information to relief personnel on the ground. By working closely with its UN sister agencies, UNOPS/UNOSAT offers a one-stop-shop for satellite imagery and GIS services related to disaster response & management within the United Nations. © Proceedings ISCRAM 2004. |
Address |
United Nations Office for Project Services (UNOPS), UNOSAT, CERN DIV IT/DI/UN, CH-1211, Geneva, Switzerland |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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 |
9076971080 |
Medium |
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Track |
Conference Keynote |
Expedition |
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Conference |
1st 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 |
81 |
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Author |
Simon French; Carmen Niculae |
Title |
Believe in the model: Mishandle the emergency |
Type |
Conference Article |
Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
Volume |
|
Issue |
|
Pages |
9-14 |
Keywords |
Artificial intelligence; Civil aviation; Civil defense; Decision making; Decision support systems; Disasters; Forecasting; Information systems; Risk management; Crisis management; Cynefin; Decision support system (dss); Emergency management; Model prediction; Uncertainty; Economic and social effects |
Abstract |
During the past quarter century there have been many developments in scientific models and computer codes to help predict the ongoing consequences in the aftermath of many types of emergency: e.g. storms and flooding, chemical and nuclear accident, epidemics such as SARS and terrorist attack. Some of these models relate to the immediate events and can help in managing the emergency; others predict longer term impacts and thus can help shape the strategy for the return to normality. But there are many pitfalls in the way of using these models effectively. Firstly, non-scientists and, sadly, many scientists believe in the models' predictions too much. The inherent uncertainties in the models are underestimated; sometimes almost unacknowledged. This means that initial strategies may need to be revised in ways that unsettle the public, losing their trust in the emergency management process. Secondly, the output from these models form an extremely valuable input to the decision making process; but only one such input. Most emergencies are events that have huge social and economic impacts alongside the health and environmental consequences. While we can model the latter passably well, we are not so good at modelling economic impacts and very poor at modelling social impacts. Too often our political masters promise the best 'science-based' decision making and too late realise that the social and economic impacts need addressing. In this paper, we explore how model predictions should be drawn into emergency management processes in more balanced ways than often has occurred in the past. © Proceedings ISCRAM 2004. |
Address |
Manchester Business School, University of Manchester, Booth Street West, Manchester M15 6PB, United Kingdom |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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 |
9076971080 |
Medium |
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Track |
Conference Keynote |
Expedition |
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Conference |
1st 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 |
111 |
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Author |
Michael Alles; Alexander Kogan; Miklos Vasarhelyi; Starr Roxanne Hiltz; Murray Turoff |
Title |
Assuring homeland security: Continuous monitoring, control and assurance of Emergency Preparedness |
Type |
Conference Article |
Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
Volume |
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Issue |
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Pages |
1-7 |
Keywords |
Civil defense; Information systems; Risk management; Assurance; Continuous auditing; Crisis management; Emergency management; Emergency response; Emergency services |
Abstract |
This paper examines the potential relationships of Auditing and Emergency Preparedness with respect to the domain of the design of Emergency Response Information Systems. It proposes normative objectives for the integration of all these areas in the design of future organizational systems. It also proposes a series of steps to evolve in this direction and create a new interdisciplinary professional community to guide research and development for this field of endeavor. © Proceedings ISCRAM 2004. |
Address |
Accounting Information Systems, Rutgers University, United States; Department of Information Systems, New Jersey Institute of Technology, United States |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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 |
9076971080 |
Medium |
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Track |
Conference Keynote |
Expedition |
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Conference |
1st 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 |
71 |
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Author |
Marcos R. S. Borges; Kelli De Faria Cordeiro; Maria Luiza M Campos; Tiago Brade Marino |
Title |
Linked open data and the design of information infrastructure for emergency management systems |
Type |
Conference Article |
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 |
Volume |
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Issue |
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Pages |
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Keywords |
Civil defense; Disasters; Emergency services; Information systems; Management information systems; Risk management; Collaborative decision making; Emergency management; Emergency management systems; Government agencies; Information infrastructures; Linked open data (LOD); Linked open datum; Semantic web approach; Information management |
Abstract |
Correct information is a vital resource during disasters. Without adequate information, response actions may be ineffective. What is the source of information of emergency management systems? Besides that originated from sensors, the emergency team and the public in general, a very relevant source is government data, such as demographic and geographic data, road maps, etc. The heterogeneity of information formats is a well-known problem that affects organizations and communities that want to access public data. Today, most public agencies provide access to their data, but the great majority is unreadable by automated mechanisms. Besides, most of them do not provide a dictionary meaning for the published content. A solution to this problem is of particular importance to emergency response organizations that need access to all information available to better respond to disasters and crisis. The linked open data (LOD) initiative allows the interconnection of data, using standards in the context of the semantic web approach. In ideal conditions, government agencies publish their public data, thus allowing the use of automated data concerned consumers, whether they are other government agencies or citizens. Efforts aimed to link government data are growing in several countries around the world. This talk presents the LOD concepts and describes an architecture that uses LOD in the design of an Emergency Management System. It describes a scheme for collecting available data from government agencies, such as departments of health, transport, works, that can supply information needs during an emergency response operation. |
Address |
Graduate Program in Informatics, Universidade Federal Do Rio de Janeiro, Brazil |
Corporate Author |
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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 |
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 |
9789724922478 |
Medium |
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Track |
Conference Keynote |
Expedition |
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Conference |
8th 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 |
337 |
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Author |
Michael K. Lindell |
Title |
Evacuation modelling: Algorithms, assumptions, and data |
Type |
Conference Article |
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 |
Volume |
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Issue |
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Pages |
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Keywords |
Algorithms; Decision making; Hurricanes; Information systems; Empirical data; Evacuation modelling; Hurricane evacuation; Information display; Local government; Training program; Uncertainty analysis |
Abstract |
Survey researchers need to, Find out what assumptions evacuation modelers are making and collect empirical data to replace incorrect assumptions;, Obtain data on the costs of evacuation to households, businesses, and local government; and, Extend their analyses to address the logistics of evacuation and the process of re-entry. Evacuation modelers need to, Incorporate available empirical data on household evacuation behavior, and, Generate estimates of the uncertainties in their analyses. Cognitive scientists need to, Conduct experiments on hurricane tracking and evacuation decision making to better understand these processes, and, Develop training programs, information displays, and performance aids to assist local officials who have little or no previous experience in hurricane evacuation decision making. |
Address |
Texas A and M University, Hazard Reduction and Recovery Center, 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 |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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 |
9789724922478 |
Medium |
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Track |
Conference Keynote |
Expedition |
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Conference |
8th 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 |
707 |
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