Records |
Author |
Nadeera Ahagama; Raj Prasanna |
Title |
Disaster Knowledge Transfer in Networks: Enablers and Barriers |
Type |
Conference Article |
Year |
2018 |
Publication |
Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. |
Abbreviated Journal |
Iscram Ap 2018 |
Volume |
|
Issue |
|
Pages |
110-122 |
Keywords |
Disaster, Knowledge Transfer, networks, Knowledge Management models |
Abstract |
Most countries are now establishing multi-stakeholder, multi-institutional networks and partnerships to respond to flood disasters. The paucity of research directed towards knowledge transfer in networks keeps some important research questions unanswered. These include (1) how the knowledge of a certain disaster management stakeholder (or a group) is transferred to other stakeholders during the disaster response, and (2) what are the barriers and enablers of knowledge transfer in multi-stakeholder environments. This article analyses knowledge transfer practices employed by a selected local government agency and a community group in Sri Lanka and reflects on the practices with the help of Hedlund's Knowledge Management Model (1994). The grounded theory analysis was used in this study to present the enablers and barriers of knowledge transfer in this context and the findings have a great potential to be used in future research towards developing knowledge management models specific to disaster response. |
Address |
University of Colombo; Joint Centre for Disaster Research / Massey University |
Corporate Author |
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Thesis |
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Publisher |
Massey Univeristy |
Place of Publication |
Albany, Auckland, New Zealand |
Editor |
Kristin Stock; Deborah Bunker |
Language |
English |
Summary Language |
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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 |
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ISBN |
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Medium |
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Track |
Data Issues for Situation/Disaster Awareness |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
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Serial |
1686 |
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Author |
Kiran Zahra; Rahul Deb Das; Frank O. Ostermann; Ross S. Purves |
Title |
Towards an Automated Information Extraction Model from Twitter Threads during Disasters |
Type |
Conference Article |
Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
Volume |
|
Issue |
|
Pages |
637-653 |
Keywords |
Social media threads; Text summarization; Disasters; Lexicons; Information extraction models; Word embeddings |
Abstract |
Social media plays a vital role as a communication source during large-scale disasters. The unstructured and informal nature of such short individual posts makes it difficult to extract useful information, often due to a lack of additional context. The potential of social media threads– sequences of posts– has not been explored as a source of adding context and more information to the initiating post. In this research, we explored Twitter threads as an information source and developed an information extraction model capable of extracting relevant information from threads posted during disasters. We used a crowdsourcing platform to determine whether a thread adds more information to the initial tweet and defined disaster-related information present in these threads into six themes– event reporting, location, time, intensity, casualty and damage reports, and help calls. For these themes, we created the respective thematic lexicons from WordNet. Moreover, we developed and compared four information extraction models trained on GloVe, word2vec, bag-of-words, and thematic bag-of-words to extract and summarize the most critical information from the threads. Our results reveal that 70 percent of all threads add information to the initiating post for various disaster-related themes. Furthermore, the thematic bag-of-words information extraction model outperforms the other algorithms and models for preserving the highest number of disaster-related themes. |
Address |
University of Zurich; University of Zurich, IBM; University of Twente; University of Zurich |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
Language |
English |
Summary Language |
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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 |
978-82-8427-099-9 |
Medium |
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Track |
Social Media for Crisis Management |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2444 |
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Author |
Ooms, D. |
Title |
Civil-Military Interaction: a Case Study to validate a Conceptual Framework |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
501-515 |
Keywords |
Civil-Military Interaction; Case-Study; Models, Validation |
Abstract |
International peace operations in response to complex emergencies require effective interaction between international civil and military participants and local actors. Although these operations frequently occur worldwide, civil-military interaction (CMI) remains problematic. CMI problems are described in the literature at length. However, the knowledge management aspects of these problems have received less attention. The feasibility of technical support solutions for CMI should be investigated using a design science approach. This requires validated models of the structural and behavioral characteristics of the CMI domain. A CMI conceptual framework providing such models has been proposed earlier and should be validated. A case study has been conducted into a Netherlands military CMI organization. This study provides for initial user validation of the models. In follow-on research, the validated conceptual framework is used to structure the investigation of CMI problems, knowledge process deficiencies, and their causal relations. It may subsequently support knowledge engineering-based solution design. |
Address |
Dept. of Computer Science University of Cincinnati; Dept. of Informatics and Networked Systems University of Pittsburgh |
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 |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/AODV9435 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2543 |
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Author |
Christoph Aubrecht; Klaus Steinnocher; Hermann Huber |
Title |
DynaPop – Population distribution dynamics as basis for social impact evaluation in crisis management |
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 |
314-318 |
Keywords |
Information systems; Population distribution; Population dynamics; Risk assessment; Activity patterns; Crisis management; Evacuation planning; Population distribution patterns; Population dynamics models; Population exposure; Spatial disaggregation; Spatio-temporal models; Economic and social effects |
Abstract |
In this paper ongoing developments regarding the conceptual setup and subsequent implementation logic of a seamless spatio-temporal population dynamics model are presented. The DynaPop model aims at serving as basic input for social impact evaluation in crisis management. In addition to providing the starting point for assessing population exposure dynamics, i.e. the location and number of affected people at different stages during an event, knowledge of spatio-temporal population distribution patterns is also considered crucial for a set of other related aspects in disaster risk and crisis management including evacuation planning and casualty assessment. DynaPop is implemented via a gridded spatial disaggregation approach and integrates previous efforts on spatio-temporal modeling that account for various aspects of population dynamics such as human mobility and activity patterns that are particularly relevant in picturing the highly dynamic daytime situation. |
Address |
AIT Austrian Institute of Technology, Energy Department, Austria; AIT Austrian Institute of Technology, Safety and Security Department, Austria |
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 |
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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 |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
279 |
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Author |
Arif Cagdas Aydinoglu; Elif Demir; Serpil Ates |
Title |
Designing a harmonized geo-data model for Disaster Management |
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 |
|
Issue |
|
Pages |
|
Keywords |
Disaster prevention; Geographic information systems; Information systems; Semantics; Standards; Data specifications; Disaster management; Dynamic data; Generic conceptual models; Geo-data; Land cover; Semantic interoperability; Disasters |
Abstract |
There are problems for managing and sharing geo-data effectively in Turkey. The key to resolving these problems is to develop a harmonized geo-data model. General features of this model are based on ISO/TC211 standards, INSPIRE Data Specifications, and expectations of Turkey National GIS actions. The generic conceptual model components were defined to harmonize geo-data and to produce data specifications. In order to enable semantic interoperability, application schemas were designed for data themes such as administrative unit, address, cadastre/building, hydrographic, topography, geodesy, transportation, and land cover/use. The model, as base and the domain geo-data model, is a starting point to create sector models in different thematic areas. Disaster Management Geo-data Model model was developed as an extension of base geo-data model to manage geo-data collaborate on disaster management activities. This model includes existing geo-data special for disaster management activities and dynamic data collecting during disaster. |
Address |
Istanbul Technical University, Turkey |
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 |
|
Track |
Interoperability and Standards |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
281 |
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Author |
Catherine Lowry Campbell; Fadi Deek; Murray Turoff; Bartel A. Van De Walle |
Title |
Measuring consensus and conflict among stakeholders in emergency response information system requirements negotiations |
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 |
121-126 |
Keywords |
Information systems; Requirements engineering; Asynchronous negotiations; Emergency Response Information Systems; Preference models; Software requirements; Stakeholder preferences; Emergency services |
Abstract |
This paper introduces the experimental design we developed for the analysis of asynchronous negotiations among five different stakeholders as they work towards consensus on the functional system requirements that are needed for a common emergency response information system. We present three analytical preference models to measure the evolving consensus and conflict among the stakeholders as they modify their preferences during the negotiation. We illustrate the use of these techniques for obtaining a detailed understanding of the negotiation dynamics among the stakeholders. © Proceedings ISCRAM 2004. |
Address |
Information Systems Department, New Jersey Institute of Technology, Newark NJ, United States; Department of Information Systems and Management, Tilburg University, Tilburg, Netherlands |
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 |
|
Track |
Emergency Response Stakeholders and Cooperation |
Expedition |
|
Conference |
1st International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
87 |
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Author |
Jean-François Gagnon; Martin Rivest; François Couderc; Sébastien Tremblay |
Title |
Capturing the task model of experts in emergency response using SYnRGY |
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 |
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Issue |
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Pages |
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Keywords |
Information systems; Risk management; Emergency management; Emergency response; Inherent complexity; Innovative models; Measurement and simulation; Realistic environments; Team measurement; Technological tools; Emergency services |
Abstract |
The need for better team measurement in realistic environments has been recognized as one of the key challenges that characterize the field of team work studies (Salas, Cooke, & Rosen, 2008). This challenge is particularly hard to address in the context of emergency response, due to the inherent complexity and dynamism of the domain. Emergency response is part of the emergency management cycle, and refers to the mobilization of the adequate actors and resources to mitigate the impact of an incident on the public and on the environment (Abrahamsson, Hassel, and Tehler, 2010). Emergency response often requires the cooperation of multiple agencies such as police, medical, and fire services, consequently increasing the complexity of such operations. We report of how SYnRGY – a human-centered emergency response technological tool – is embedded with extensive measurement and simulation capabilities to allow tracing of experts' task models in a silent and reliable way. We describe how these capabilities; combined with an innovative modeling technique – dynamic cognitive task modeling – can be used to extract experts' representations of the task. We discuss the importance of such a model for training, improvement of emergency response procedures and development of emergency response tools. © 2012 ISCRAM. |
Address |
Université Laval, Canada; Thales Canada Inc., Canada |
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 |
Poster Session |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
115 |
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Author |
Sigmund Kluckner; Johannes Sautter; Matthias Max; Wolf Engelbach; Tina Weber |
Title |
Impacting factors on human reactionsto alerts |
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 |
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Issue |
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Pages |
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Keywords |
Knowledge based systems; Models; Social sciences; Alert; Crisis situations; Human behaviors; Human reaction; Literature reviews; Modeling and simulating; Support crisis management; Warning; Behavioral research |
Abstract |
Crisis response authorities have to deal with the unpredictability of their population's behavior. One of the complex challenges is to understand the people's reaction after an official alert in a crisis situation has been issued. This paper elaborates a knowledge base to describe impacting factors on human reactions in alerting situations. For this purpose, a literature review in the theme of human behavior after warnings was conducted and augmented with information gathered in a series of interviews in German-speaking countries. The outcome is phrased as factors that might impact the human reaction to a warning. This knowledge base shall support crisis management practitioners in the elaboration of alerting strategies as well as allow researchers to systematically structure human behavior aspects for the purpose of modeling and simulating alert effects. © 2012 ISCRAM. |
Address |
University of Stuttgart, Germany; German Red Cross, 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 |
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Track |
Special Session Mixed Methods |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
142 |
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Author |
Felix Wex; Guido Schryen; Dirk Neumann |
Title |
Operational emergency response under informational uncertainty: A fuzzy optimization model for scheduling and allocating rescue units |
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 |
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Issue |
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Pages |
|
Keywords |
Artificial intelligence; Decision support systems; Fuzzy set theory; Information systems; Monte Carlo methods; Optimization; Computational evaluation; Coordination; Decision support models; Fuzzy optimization model; Heuristic solutions; Informational uncertainty; Linguistic assessment; Operational emergency; Scheduling |
Abstract |
Coordination deficiencies have been identified after the March 2011 earthquakes in Japan in terms of scheduling and allocation of resources, with time pressure, resource shortages, and especially informational uncertainty being main challenges. We suggest a decision support model that accounts for these challenges by drawing on fuzzy set theory and fuzzy optimization. Based on requirements from practice and the findings of our literature review, the decision model considers the following premises: incidents and rescue units are spatially distributed, rescue units possess specific capabilities, processing is non-preemptive, and informational uncertainty through linguistic assessments is predominant when on-site units vaguely report about incidents and their attributes, or system reports are not exact. We also suggest a Monte Carlo-based heuristic solution procedure and conduct a computational evaluation of different scenarios. We benchmark the results of our heuristic with results yielded through applying a greedy approach. The results indicate that using our Monte Carlo simulation to solve the decision support model inspired by fuzzy set theory can substantially reduce the overall harm. © 2012 ISCRAM. |
Address |
Albert-Ludwigs-Universität Freiburg, Germany; Universität Regensburg, 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 |
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Track |
Intelligent Systems |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
238 |
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Author |
Michael R. Bartolacci; Christoph Aubrecht; Dilek Ozceylan Aubrecht |
Title |
A portable base station optimization model for wireless infrastructure deployment in disaster planning and management |
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 |
50-54 |
Keywords |
Base stations; Disaster prevention; Disasters; Information systems; Mathematical models; Optimization; Wireless telecommunication systems; Ad hoc mobile networks; Cellular mobile networks; Disaster planning; Optimization modeling; Real-time management; Wireless communications; Wireless infrastructure deployments; Wireless telecommunications; Emergency services |
Abstract |
Disaster response requires communications among all affected parties including emergency responders and the affected populace. Wireless telecommunications, if available through a fixed structure cellular mobile network, satellites, portable station mobile networks and ad hoc mobile networks, can provide this means for such communications. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and mobile network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures of the deployment or minimizing overall 'cost' (including time aspects) to deploy. This work-in-progress does not focus on the question of what entity will operate the portable base during a disaster, but on optimizing the placement of mobile base stations or similar network nodes for planning and real time management purposes. An optimization model is proposed for the staging and placement of portable base stations to support disaster relief efforts. |
Address |
Pennsylvania State University – Berks, United States; AIT Austrian Institute of Technology, Austria; World Bank, United States; Sakarya University, Turkey |
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 |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
294 |
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Author |
Louise K. Comfort; Milos Hauskrecht; Jeen-Shang Lin |
Title |
Dynamic networks: Modeling change in environments exposed to risk |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
576-585 |
Keywords |
Adaptive systems; Complex networks; Information systems; Models; Small-world networks; Complex adaptive systems; Dynamic environments; Emergency response systems; Interdependent systems; Situational assessment; Sociotechnical systems; Transportation system; University of Pittsburgh; Risk assessment |
Abstract |
Modeling the interaction between interdependent systems in dynamic environments represents a promising approach to enabling communities to assess and manage the recurring risk to which they are exposed. We frame the problem as a complex, adaptive system, examining the interaction between transportation and emergency response as a socio-technical system. Using methods of spatial and statistical analysis, we overlaid the engineered transportation system on the organizational emergency response system to identify the thresholds of fragility in each. We present a research design and preliminary results from a small-scale study conducted in the Pittsburgh Metropolitan Region that examined the interaction between the transportation and emergency response systems. These results informed the design of a Situational Assessment Module for emergency managers, currently under development at the University of Pittsburgh. |
Address |
University of Pittsburgh, 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 |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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 |
9780615206974 |
Medium |
|
Track |
Impact of Disasters on Industry and Economic Effects |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
410 |
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Author |
Kelli de Faria Cordeiro; Maria Luiza M Campos; Marcos R. S. Borges |
Title |
Adaptive integration of information supporting decision making: A case on humanitarian logistic |
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 |
225-229 |
Keywords |
Artificial intelligence; Decision support systems; Information systems; Natural language processing systems; Graph database; Heterogeneous information; Humanitarian logistics; Knowledge integration; Linked open datum; Multi-perspective views; Relational data models; Semantic representation; Decision making |
Abstract |
There is an urgent demand for information systems to gather heterogeneous information about needs, donations and warehouse stocks to provide an integrated view for decision making in humanitarian logistics. The dynamic flow of information, due to the unpredicted events, requires adaptive features. The traditional relational data model is not suitable due to its schema rigidity. As an alternative, Graph Data models complemented by semantic representations, like Linked Open Data on the Web, can be used. Based on both, this research proposes an approach for the adaptive integration of information and an associated architecture. An application example is discussed in a real scenario where relief goods are managed through a dynamic and multi-perspective view. |
Address |
Center for Naval Systems Analysis of Brazilian Navy, Federal University of Rio de Janeiro, Brazil; Federal University of Rio de Janeiro, Brazil |
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 |
Decision Support Systems |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
414 |
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Author |
Dragos Datcu; Leon J.M. Rothkrantz |
Title |
The use of active appearance model for facial expression recognition in crisis environments |
Type |
Conference Article |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
Volume |
|
Issue |
|
Pages |
515-524 |
Keywords |
Face recognition; Gesture recognition; Active appearance models; Automatic evaluation; Automatic facial expression recognition; Computer vision techniques; Context-aware systems; Crisis management systems; Facial expression recognition; Human computer interfaces; Human computer interaction |
Abstract |
In the past a crisis event was notified by local witnesses that use to make phone calls to the special services. They reported by speech according to their observation on the crisis site. The recent improvements in the area of human computer interfaces make possible the development of context-aware systems for crisis management that support people in escaping a crisis even before external help is available at site. Apart from collecting the people's reports on the crisis, these systems are assumed to automatically extract useful clues during typical human computer interaction sessions. The novelty of the current research resides in the attempt to involve computer vision techniques for performing an automatic evaluation of facial expressions during human-computer interaction sessions with a crisis management system. The current paper details an approach for an automatic facial expression recognition module that may be included in crisis-oriented applications. The algorithm uses Active Appearance Model for facial shape extraction and SVM classifier for Action Units detection and facial expression recognition. |
Address |
Man-Machine Interaction Group, Delft University of Technology, 2628 CD, Delft, Netherlands |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
Track |
EMOT |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
425 |
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Author |
Philip Degener; Henning Gösling; Jutta Geldermann. |
Title |
Decision support for the location planning in disaster areas using multi-criteria methods |
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 |
278-283 |
Keywords |
Decision support systems; Disasters; Facilities; Information systems; Location; Societies and institutions; Decision supports; Emergency relief; Facility location models; Facility locations; Multi-criteria method; Personnel resources; Pre-positioning; Warehouse location; Emergency services |
Abstract |
In this paper, a multi-criteria facility location model is represented. The model is meant to support relief organisations to determine the best warehouse location to stock emergency relief supplies in the pre-disaster phase of a natural disaster. As a result of the prepositioning of the goods the relief organisations are able to respond immediately to an occurring disaster. In consideration of a multiplicity of quantitative and qualitative objectives a criteria hierarchy is developed which can be adapted to any specific disaster area by omitting irrelevant goals. Afterwards the multi-criteria methods PROMETHEE I+II as well as different sensitivity analysis are described and the model is applied on a local level in a flood-prone area in Bangladesh. Small organisations with restrictive financial and personnel resources can especially benefit from the clear structure of the model and the user friendliness and high transparency of the PROMETHE I+II methods. |
Address |
Dept. of Organization and Corporate Development, University of Göttingen, Germany; Dept. of Production and Logistics, University of Göttingen, Germany |
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 |
Decision Support Systems |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
439 |
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Author |
Naci Dilekli; Tarek Rashed |
Title |
Towards a GIS data model for improving the emergency response in the Least Developing Countries: Challenges and opportunities |
Type |
Conference Article |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
Volume |
|
Issue |
|
Pages |
57-62 |
Keywords |
Developing countries; Information systems; Risk management; Developed countries; Emergency management; Emergency response; Emergency response practices; Geodatabase data models; GIS data; Home land security; Potential benefits; Emergency services |
Abstract |
Over the past few years, several standardized GIS data models have been developed to document “best practices” database designs for various application domains including the domain of emergency management. The majority of such models, however, have been developed in the context of developed countries as in the case of the Homeland Security geodatabase data model by ESRI®. These data models fail to be successful when transferred and used in the context of Least Developing Countries (LDCs) due to significant contextual differences in the domains of information systems and emergency practices. Therefore, developing GIS data models that are specifically designed for emergency response activities in LDCs are needed to improve existing emergency response practices in these countries. This paper reviews the state of development in GIS data models and the potential benefits and applications of building models that are specifically designed to support emergency response activities in LDCs. We first discusses why it is important to differentiate emergency response activities in LDCs from other contexts. We then present some theoretical considerations in developing GIS data models that can overcome contextual difficulties in LDCs in general and in the domain of information systenms. We finally attempt to provide key guidelines that may help designing a GIS Data Model, while is specifically referenced to the LDCs context. |
Address |
University of Oklahoma, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
Track |
LDCS |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
449 |
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Author |
Gary Eifried |
Title |
A model describing a response to a terrorism incident |
Type |
Conference Article |
Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
Volume |
|
Issue |
|
Pages |
125-127 |
Keywords |
Information systems; Military equipment; Models; Emergency response; Incident response; Information flows; Weapons of mass destructions; Wmd; Terrorism |
Abstract |
Understanding how the response to an incident of terrorism involving a Weapons of Mass Destruction (WMD) transpires is essential to understanding the necessary flow of information within that response. A model describing incident response functions overlaid on a realistic timeline is presented. |
Address |
EAI Corporation, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
Track |
POSTER SESSION |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
471 |
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|
Author |
Mauro Falasca; Christopher W. Zobel; Gary M. Fetter |
Title |
An optimization model for humanitarian relief volunteer management |
Type |
Conference Article |
Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Information systems; Mathematical models; Optimization; Conflicting objectives; Humanitarian logistics; Humanitarian relief; Multi criteria decision making; Multicriteria optimization; Optimization modeling; Solution methodology; Workforce management; Decision making |
Abstract |
One of the challenges of humanitarian organizations is that there exist limited decision technologies that fit their needs. It has also been pointed out that those organizations experience coordination difficulties with volunteers willing to help. The purpose of this paper is to help address those challenges through the development of a decision model to assist in the management of volunteers. While employee workforce management models have been the topic of extensive research over the past decades, no work has focused on the problem of managing humanitarian relief volunteers. In this paper, we discuss a series of principles from the field of volunteer management and develop a multi criteria optimization model to assist in the assignment of volunteers to tasks. We present an illustrative example and analyze a solution methodology where the decision maker exercises his/her preferences by trading-off conflicting objectives. Conclusions, limitations, and directions for future research are also discussed. |
Address |
Dept. of Business Information Technology, Pamplin College of Business, Virginia Tech, 1007 Pamplin Hall, Blacksburg VA, 24061, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
|
Track |
Humanitarian Actions and Operations |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
482 |
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|
Author |
Jose Vargas Florez; Anthony Charles; Matthieu Lauras; Lionel Dupont |
Title |
Designing realistic scenarios for disaster management quantitative models |
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 |
180-189 |
Keywords |
Disaster prevention; Information systems; Disaster management; Disaster scenario; Quantitative approach; Quantitative modeling; Quantitative models; Real situation; Realism; Realistic scenario; Disasters |
Abstract |
Disaster Management has received a lot of attention over the last twenty years, and can now be considered a full research area. But a gap exists between research work proposals and their applications on the field. This is particularly true regarding quantitative approaches. One of the main issues is that the scenarios used to design and validate the proposals are often not accurate and/or too simple compared to the complexity of real situations. Designing realistic scenarios is of prime importance to be able to propose relevant quantitative models which could be implemented by practitioners. This paper tackles this problem by proposing a structured methodology which aims at defining realistic disaster scenarios. The case of earthquakes management in Peru is used to illustrate the consistency of our proposal. |
Address |
Pontificia Universidad Católica Del Peru, Peru; Université Lyon 2 Lumière, DISP, France; Université de Toulouse, Mines Albi, Toulouse Business School, France |
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 |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Disaster Relief Supply Chain Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
500 |
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|
Author |
Franclin Foping; Ioannis M. Dokas |
Title |
A saas-based early warning information fusion system for critical infrastructure safety |
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 |
156-165 |
Keywords |
Critical infrastructures; Information fusion; Information systems; Public works; Software as a service (SaaS); Web services; Communications systems; Complex problems; Deployment models; Early Warning System; Prototype system; Republic of Ireland; Saas; Safety management systems; Information management |
Abstract |
Maintaining the critical infrastructures, such as Drinking Water Treatment Plants (DWTP), transportation, power generation and communications systems, in a safe state is a complex problem. The effective collaboration, as well as the collection aggregation and dissemination of early warning information among the stakeholders of the Safety Management System (SMS) responsible for the safety of these critical infrastructures are some of the challenges that need to be addressed. This paper argues that the Software as a Service (SaaS) deployment model can offer new ways of enhancing the fusion of early warning information during the operation phase of critical infrastructures. It presents the requirements, the architecture and a number of features of a working prototype SaaS-based early warning information fusion system for DWTP safety issues in the Republic of Ireland. It is the first time that a SaaSbased working prototype system is reported of providing early warning information fusion services in the literature. |
Address |
Cork Constraint Computation Centre, UCC, Cork, Ireland |
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 |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Critical Infrastructures |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
501 |
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|
|
Author |
Arthur H. Hendela; Murray Turoff; Starr Roxanne Hiltz |
Title |
Cross impact security analysis using the HACKING Game |
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 |
Crime; Information systems; Models; Personnel training; Collaborative model; Cross-impact analysis; Gaming; Government organizations; Mathematical basis; Natural and man-made disasters; Planning tools; Security expenditures; Personal computing |
Abstract |
Security of network assets is a high priority with little traditional return on investment. Increasingly, cyber attacks are being used by both terrorist and unfriendly government organizations. The HACKING Game, a Cross Impact Analysis planning tool, can be used to plan security resource allocation in computer networks. Cross Impact Analysis provides a mathematical basis to determine the interrelationships of one event with a set of other events. Output from the HACKING Game's Cross Impact Analysis model can be used to help justify security expenditures, with an added benefit of being a training tool for employees learning to protect networks. This paper presents details of the Hacking Game's design and its capabilities. Cross impact modeling can be used to develop games for any situation characterized by a set of offense and defense events to produce an individual or collaborative model for such things as natural and man-made disasters. |
Address |
New Jersey Institute of Technology, 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 |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Planning, Foresight and/or Risk Analysis |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
569 |
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|
|
Author |
Cindy Hui; Mark Goldberg; Malik Magdon-Ismail; William A. Wallace |
Title |
Micro-simulation of diffusion of warnings |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
424-430 |
Keywords |
Information systems; Models; Social networking (online); Axiomatic framework; Diffusion process; Model parameters; Network structures; Simulation; Social network structures; Warning messages; Warnings; Diffusion |
Abstract |
This paper presents a unique view of modeling the diffusion of warnings in social networks where the network structure may change over time. Since the characteristics and actions of people in a community have significant influence on the flow of information through a network, we present an axiomatic framework for modeling the diffusion process through the concept of trust. This ongoing work provides a micro level view of the behavior of individuals and groups in a community. Preliminary experiments were made to explore how model parameters such as trust and the social network structure affect warning message belief and evacuation. |
Address |
Rensselaer Polytechnic Institute, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
Track |
Early Warning Systems |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
606 |
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|
|
Author |
Soumia Ichoua |
Title |
Humanitarian logistics network design for an effective disaster response |
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 |
Disasters; Information systems; Location; Stochastic models; Stochastic systems; Transportation; Disaster response; Humanitarian logistics; Inventory; Local distributions; Pre-positioning; Scenario-based modeling; Stochastic; Strategic decisions; Emergency services |
Abstract |
In this paper we address the problem of pre-positioning emergency supplies prior to a disaster onset. The goal is to ensure a fast and effective response when the disaster strikes. Pre-positioning of emergency supplies is a strategic decision aimed at determining the number and location of local distribution centers as well as their inventory levels for emergency supplies. These decisions must be made in a highly disruption-prone environment where a timely response is vital and resources are scarce. We present and discuss a scenario-based model that integrates location, inventory and routing decisions. |
Address |
Department of Computer Science and Engineering, Johnson C. Smith 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 |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Humanitarian Challenges |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
610 |
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|
|
Author |
Syed Imran; Franclin Foping; Ioannis M. Dokas; John Feehan |
Title |
Towards domain specific modeling approach in early warning system |
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 |
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 |
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. |
Address |
University College, Cork, Ireland |
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 |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Poster Session |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
614 |
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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 |
|
Thesis |
|
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 |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
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 |
Johan Jenvald; Michael Morin; Toomas Timpka; Henrik Eriksson |
Title |
Simulation as decision support in pandemic influenza preparedness and response |
Type |
Conference Article |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
Volume |
|
Issue |
|
Pages |
295-304 |
Keywords |
Decision making; International cooperation; Models; Population statistics; Decision supports; Local community; Pandemic influenza; Preparedness; Response; Simulation; Workflow; Decision support systems |
Abstract |
Outbreak of a destructive pandemic influenza threatens to disrupt societies worldwide. International agencies and national governments have prepared plans and recommendations, but it is often decision-makers with the local authorities that are responsible for implementing the response. A central issue for these decision makers is what interventions are available and effective for the specific local community. The paper presents a simulator architecture and its relation to a workflow for decision support in influenza preparedness and response. The simulator can simulate pandemic scenarios, using localized community models, in the presence of various interventions to support an evaluation of potential response strategies. The architecture includes a customized modeling tool, separated from the simulation engine, which facilitates swift scenario modification and recalculation. This flexibility is essential both to explore alternative solutions in planning, and to adapt to changing requirements, information, and resources in outbreak response. An example simulation, based on actual population data from a reference city, illustrates the approach. |
Address |
VSL Research Labs, Linköping, Sweden; Dept. of Social Medicine and Public Health, Linköping University, Linköping, Sweden; Dept. of Computer and Information Science, Linköping University, Linköping, Sweden |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
Track |
ASCM |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
628 |
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