| Records |
| Author |
Ana C. Calderon; Joanne Hinds; Peter Johnson |
| Title |
IntCris: A tool for enhanced communication and collective decision-making during crises |
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 |
205-214 |
| Keywords |
Computational grammars; Disasters; Hurricanes; Information systems; Autonomous systems; Collaborative technologies; Collective decision-making; Collective intelligences; Decision making process; Emergency response; Hurricane katrina; Large-scale disasters; Decision making |
| Abstract |
Responding to a large-scale disaster such as an earthquake or hurricane is a collective problem. Human agents are increasingly collaborating with non-human agents (autonomous systems) in attempt to respond to a disaster. IntCris is a prototype intended to bring together interaction for human and non-human agents to aid the decision-making process by focusing on how to facilitate the “correct information to the correct agent” problem as well as encouraging new and agile behaviour. We focus on three categories of information: command, report and personal with a formal grammar to accompany the implementation. The requirements for the software were inspired by real life case studies from Hurricane Katrina, the Fukoshima Nuclear Disaster and Hurricane Sandy. The contribution of this work is to advance technology that brings together HAS (human and autonomous system interaction), in addition to enhancing collective intelligence. |
| Address |
University of Bath, 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 |
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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 |
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| ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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| Track |
Decision Support Systems |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
|
Serial |
361 |
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| Author |
Chao Huang; Shifei Shen; Quanyi Huang |
| Title |
An approach based on environment attributes for representation of disaster cases |
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 |
Civil defense; Fuzzy sets; Information systems; Risk management; Case representation; Case retrieval; Emergency management; Environmental contributes; Environmental factors; Large-scale disasters; New approaches; Similar case; Disasters |
| Abstract |
In this paper we overview the ongoing research into the application of case-based reasoning in emergency management, based on which we propose a new approach for representation of large-scale disaster cases. The approach takes the environmental factors into account, and the case is organized according to key scenes, rather than disaster types. Each scene consists of inherent attributes, which are concerned with the disaster type, and environment attributes, which usually facilitate the adjustment of the decision-making, and sometimes play crucial role. To describe the environment attributes, the fuzzy sets are employed to take use of the non-quantitative information. The nearness of the fuzzy sets is used to retrieve the similar case. Based on this approach, the case retrieval could even extract the case with different type but similar environment, supposing the inherent attribute is analogous. © 2012 ISCRAM. |
| Address |
Tsinghua University, China |
| 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 |
|
Edition |
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| 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 |
134 |
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| Author |
Gabriel Jakobson; Nandan Parameswaran; John Buford; Lundy Lewis; Pradeep Ray |
| Title |
Situation-Aware multi-Agent system for disaster relief operations management |
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 |
313-324 |
| Keywords |
Architecture; Disasters; Information systems; Multi agent systems; BDI Agent; Belief-desire-intention models; Disaster relief operations; Disaster situations; Large-scale disasters; Situation assessment; Situation identifications; Situation management; Disaster prevention |
| Abstract |
Natural and human-made disasters create unparalleled challenges to Disaster Situation Management (DSM). One of the major weaknesses of the current DSM solutions is the lack of comprehensive understanding of the overall disaster operational situation, and very often making decisions based on a single event. Such weakness is clearly exhibited by the solutions based on the widely used Belief-Desire-Intention (BDI) models for building the Muiti-Agent Systems (MAS). In this work we present the adaptation of the AESOP situation management architecture to address the requirements of disaster relief operations. In particular, we extend the existing BDI model with the capability of situation awareness. We describe how the key functions of event collection, situation identification, and situation assessment are implemented in MAS architecture suitable to the characteristics of large-scale disaster recovery. We present the details of a BDI agent in this architecture including a skeleton ontology, and the distributed service architecture of the AESOP platform. |
| Address |
Altusys Corp, Australia; University of New South Wales, Australia; Southern New Hampshire University, 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 |
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| ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
|
| Track |
MULTIAGENT SYSTEMS FOR EMERGENCY MANAGEMENT |
Expedition |
|
Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
617 |
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| Author |
Mohammadreza Khalilbeigi; Immanuel Schweizer; Dirk Bradler; Florian Probst; Jürgen Steimle |
| Title |
Towards computer support of paper workflows in emergency management |
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 |
Civil defense; Disaster prevention; Disasters; Human computer interaction; Information systems; Risk management; Command and control centers; Decision making process; Efficient technology; Emergency management; Large-scale disasters; Participatory design; Technological solution; User study; Paper |
| Abstract |
A crucial aspect for large-scale disaster management is an efficient technology support for communication and decision-making processes in command and control centers. Yet, experiences with the introduction of novel technologies in this setting show that field professionals tend to remain attached to traditional workflows and artifacts, such as pen and paper. We contribute the results of a comprehensive field study which analyzes how the information flow is currently performed within different units and persons in the command and control center. These findings provide insights into key aspects of current workflows which should be preserved by novel technological solutions. As our second contribution, by using a participatory design approach and based on our findings, we present a novel approach for computer support in command and control centers. This relies on digital pens and paper and smoothly integrates traditional paper-based workflows with computing, thereby combining the advantages of paper and those of computers. |
| Address |
Telekooperation-TU Darmstadt, Germany; SAP AG Darmstadt, Germany |
| 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 |
|
Medium |
|
| Track |
Human-Computer Interaction |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
|
Serial |
650 |
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| Author |
Stella Moehrle |
| Title |
Generic self-learning decision support system for large-scale disasters |
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; Decision making; Decision support systems; Disaster prevention; Disasters; Information systems; Complex structure; Decision makers; Decision making process; Decision process; Disaster management; Emergency response; Large-scale disasters; Work in progress; Emergency services |
| Abstract |
Large-scale disasters, particularly failures of critical infrastructures, are exceptional situations which cannot be solved with standard countermeasures. The crises are complex and the decision makers face acute time pressure to respond to the disaster. IT based decision support systems provide potential solutions and assist the decision making process. Many decision support systems in emergency response and management concentrate on one kind of disaster. Moreover, complex structures are modeled and recommendations are made rule-based. This work in progress paper describes the first steps towards the development of a generic and self-learning decision support system. The methodology used is case-based reasoning. The paper concludes with a sample emergency decision process. © 2012 ISCRAM. |
| Address |
Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany |
| 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 |
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| ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
| Track |
Track Decision Support Methods for Complex Crises |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
|
Serial |
171 |
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| Author |
Stella Moehrle |
| Title |
Modeling of countermeasures for large-scale disasters using high-level petri nets |
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 |
284-289 |
| Keywords |
Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Petri nets; Automatic processing; Disaster management; Generic approach; Generic decisions; High-level Petri nets; Large-scale disasters; Disasters |
| Abstract |
In order to support decision-making in large-scale disasters, IT-based decision support systems provide appropriate countermeasures to respond to the event. For the implementation of measures, logical and temporal dependencies have to be considered. Furthermore, factors influencing the choice of measures should be taken into account. This paper presents a generic approach to modeling sequences of countermeasures using Highlevel Petri Nets including information about the influencing factors and endangered objects. Moreover, an approach to combining several nets is proposed, which establish new sequences for recommendation. The research is part of the development of a generic decision support system for large-scale disasters. Consequently, the focus is on modeling in a generic manner and on automatic processing. |
| Address |
Institute for Nuclear and Energy Technologies, Germany |
| 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 |
|
Edition |
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| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Decision Support Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
777 |
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| Author |
Gisli Olafsson |
| Title |
Humanitarian response in the age of mass collaboration and networked intelligence |
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; Humanitarian response; Information sharing; Large-scale disasters; Mass collaboration; Mobile communication networks; Networked intelligence; Response systems; Satellite based networks; Societies and institutions |
| Abstract |
The current humanitarian system is based on institutions created during the Industrial Age. It was built when connectivity was a very scarce resource and information sharing was something that only happened during meetings. The increased resiliency of mobile communication networks and the proliferation of satellite based network connectivity have lead to information being much easier to share. At the same time the rise of social networks and the explosive growth of mobile ownership amongst the affected communities has lead to a new way of communicating. Furthermore the large institutional humanitarian response organizations are no longer the only responders, with multiple smaller organizations responding. This paper looks at the opportunities new technologies have provided in rethinking the humanitarian response system and how new approaches may address some of the key issues faced in large-scale disasters in recent years. © 2012 ISCRAM. |
| Address |
NetHope Inc., United States |
| 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 |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
| Track |
Humanitarian Challenges |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
48 |
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