| Records |
| Author |
Stella Moehrle |
Title  |
On the assessment of disaster management strategies |
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 |
215-219 |
| Keywords |
Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Case based reasoning systems; Decision makers; Disaster management; Disasters |
| Abstract |
Decision support systems can recommend strategies for disaster management, which can be further discussed by decision-makers. To provide rationales for the recommendations, the strategies need to be assessed according to relevant criteria. If several strategies are available, the criteria can be used for ranking the strategies. This paper addresses the issue concerning the choice of suitable criteria from several perspectives. The assessment integrates concepts on robustness, experience with regard to the implementation of a strategy, quantifiable ratios which can be deduced from simulations, and system-specific parameters. Objectives are to facilitate transparency with respect to the assessments, to provide a basis for discussions concerning the strategies, and to preserve adaptability and flexibility to account for the variability of disasters and users' preferences. The assessment should be used for ranking solutions gained from a case-based reasoning system and to reveal contributions of criteria values to the overall assessment. |
| Address |
Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany |
| Corporate Author |
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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 |
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Abbreviated Series Title |
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| Series Volume |
|
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 |
776 |
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| Author |
Huizhang Shen; Jingwen Hu; Jidi Zhao; Jing Dong |
| Title |
Ontology-based modeling of emergency incidents and crisis management |
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; Database systems; Decision support systems; Information systems; Ontology; Reusability; Risk management; Semantics; Crisis management; Crisis response; Decision supports; Emergency Decision-making; Emergency Incidents; Emergency management systems; Emergency response; Relational Database; Information management |
| Abstract |
With the frequent occurrence of emergency incidents in recent years, developing intelligent and effective decision support systems for emergency response and management is getting crucial to the government and public administration. Prior research has made many efforts in constructing crisis databases over the decades. However, existing emergency management systems built on top of these databases provide limited decision support capabilities and are short of information processing and reasoning. Furthermore, ontology based on logic description and rules has more semantics description capability compared to traditional relational database. Aiming to extend existing studies and considering ontology's reusability, this paper presents an approach to build ontology-based DSSs for crisis response and management. © 2012 ISCRAM. |
| Address |
Department of Management Information Systems, Shanghai Jiao Tong University, Shanghai, 200052, China; Department of Public Administration, East China Normal University, Shanghai, 200062, China |
| Corporate Author |
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Thesis |
|
| Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
| 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 |
9780864913326 |
Medium |
|
| Track |
Intelligent Systems |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
206 |
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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 |
|
Issue |
|
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 |
|
Thesis |
|
| Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
| Track |
Intelligent Systems |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
238 |
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| Author |
Gerd Van Den Eede; Bartel A. Van De Walle |
| Title |
Operational risk in incident management: A cross-fertilisation between ISCRAM and IT governance |
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 |
53-60 |
| Keywords |
Artificial intelligence; Decision support systems; Group theory; Information systems; Knowledge management; Mapping; Cognitive mapping; Financial institution; Incident Management; Iscram; IT governance; Learning organisation; Normal Accidents Theory; Operational risks; Reliability theory |
| Abstract |
The objectives of the research reported by the authors in this paper are threefold. First, the authors want to fine-tune the rresearch methodology on risk identification based on cognitive mapping techniques and group decision support systems (GDSS) developed earlier (Rutkowski et al., 2005). Second, the authors want to determine how High Reliability Theory (HRT) – through the characteristics of High Reliability Organisations (HROs) – can be applied in the particular organisational context of an important economic sector like banking. Third, the authors want to inquire into how Information Systems for Crisis Response and Management can benefit from experiences gained in a mainstream context. More specifically, the use of the Information Technology Infrastructure Library (ITIL) methodology will be explored from the perspective of Incident Management as a sub-process of ICT management. |
| Address |
Vlekho Business School, Belgium; Tilburg University, Netherlands |
| Corporate Author |
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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 |
KNOWLEDGE MANAGEMENT |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
228 |
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| Author |
Qing Gu; David Mendonça |
| Title |
Patterns of group information-seeking in a simulated emergency response environment |
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 |
109-116 |
| Keywords |
Artificial intelligence; Decision support systems; Information retrieval; Information systems; Information use; Emergency response; Emergency situation; Expertise; Information seeking; Information seeking behaviors; Emergency services |
| Abstract |
Groups in emergency response environment may be confronted with problems that cannot be solved by following predefined procedures. They must therefore engage in a collective search for relevant information, cooperating and collaborating as they move towards the deadline. Information technologies and expertise may help shape group information seeking and determine its effectiveness. By understanding how response personnel search for information in emergencies and extending the findings to determine demands on information systems, we may begin to understand how to support and train for skillful information seeking in emergency situations. Accordingly, this research evaluates the impact of decision support systems and member expertise on group information-seeking behavior in a simulated emergency response environment. The results of the evaluation are then used to identify how information technologies may further support information seeking in emergency response. |
| Address |
Information Systems Department, New Jersey Institute of Technology, Newark, NJ, United States |
| Corporate Author |
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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 |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
| Track |
RESEARCH METHODS |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
552 |
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| Author |
Peter Serwylo; Paul Arbon; Grace Rumantir |
| Title |
Predicting patient presentation rates at mass gatherings using machine learning |
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 |
Artificial intelligence; Data mining; Forecasting; Information systems; Event Types; Heat indices; Machine learning techniques; Mass gathering; Optimization techniques; Predictive models; Predictive variables; Time of day; Learning systems |
| Abstract |
Mass gatherings have been defined as events where more than 1,000 people are present for a defined period of time. Such an event presents specific challenges with respect to medical care. First aid is provisioned on-site at most events in order to prevent undue strain on the local emergency services. In order to allocate enough resources to deal with the expected injuries, it is important to be able to accurately predict patient volumes. This study used machine learning techniques to identify which variables are the most important in predicting patient volumes at mass gatherings. Data from 201 mass gatherings across Australia was analysed, finding that event type is the most predictive variable, followed by the state or territory, heat index, humidity, whether it is bounded, and the time of day. Variables with little bearing on the outcome included the presence of alcohol, whether the event was indoors or outdoors, and whether it had one point of focus. The best predictive models produced acceptable predictions of the patient presentations 80% of the time, and this could be further improved using optimization techniques. |
| Address |
Monash University, Australia; Flinders University, Australia |
| Corporate Author |
|
Thesis |
|
| 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 |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
| Track |
Planning and Foresight |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
938 |
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| Author |
Milica Stojmenovic; Gitte Lindgaard |
| Title |
Probing PROBE: A field study of an advanced decision support prototype for managing chemical, biological, radiological, nuclear, and explosives (CBRNE) events |
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 |
90-99 |
| Keywords |
Artificial intelligence; Communication; Decision support systems; Information systems; Probes; Chemical; biological; radiological; nuclear; Communication breakdowns; Decision supports; Event management; First responders; Management decisions; Management team; Teamwork; Human resource management |
| Abstract |
The purpose of this field study was investigate teamwork and communication among event management personnel, to assess the degree to which PROBE, the advanced prototype they were using to manage a CBRNE simulation, would adequately meet their needs. The study was a continuation of previous research conducted in the early phase of PROBE development. Two communication-related analyses were applied to identify instances of effective and of ineffective communication among the management team. These revealed that communication was mostly effective. However, the one serious communication breakdown that was observed could have had fatal consequences. It showed that great care must be taken to ensure the safety of first responders at all times when evaluating prototypes in the field. A list of questions was generated from the lessons learned to assist future researchers prepare for CBRNE field studies. |
| Address |
Swinburne University of Technology, Australia; Carleton University, Canada |
| 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 |
Command and Control Studies |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
|
| Call Number |
|
Serial |
978 |
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| Author |
Gesine Hofinger; Robert Zinke; Laura Künzer |
| Title |
Psychological requirements for crisis and emergency decision-support systems for public transport control centers |
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 |
Application programs; Artificial intelligence; Control rooms (power plants); Decision support systems; Employment; Information systems; Control center; Crisis management; Emergency situation; Industrial logistics; Production process; Public transportation; Requirements analysis; Software applications; Mass transportation |
| Abstract |
Control center staff is used to working with software applications for e.g. surveillance of production processes, for controlling and timing of industrial logistics, and for recording and filing incidents and actions. Yet, decision-support systems for emergency situations pose additional demands on employees in this domain. This paper reports first findings for psychological requirements for decision support systems in the rise of emergencies as identified in a federal German research project in the domain of public transportation. In control centers both the humans on duty who have to intervene during an emergency, and the technical system which provides decision-alternatives for supporting the action are considered. Based on findings of the project, psychological, technical and organizational requirements identified in interviews, observations, document analysis and additional relevant literature are generalized. |
| Address |
University of Jena, Germany |
| 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 |
|
| 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 |
9789724922478 |
Medium |
|
| Track |
User Centred Design Process for EMIS |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
588 |
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| Author |
Muhammad Imran; Firoj Alam; Umair Qazi; Steve Peterson; Ferda Ofli |
| Title |
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
|
Issue |
|
Pages |
761-773 |
| Keywords |
Social Media, Damage Assessment, Artificial Intelligence, Image Processing. |
| Abstract |
Rapid damage assessment is one of the core tasks that response organizations perform at the onset of a disaster to understand the scale of damage to infrastructures such as roads, bridges, and buildings. This work analyzes the usefulness of social media imagery content to perform rapid damage assessment during a real-world disaster. An automatic image processing system, which was activated in collaboration with a volunteer response organization, processed ~280K images to understand the extent of damage caused by the disaster. The system achieved an accuracy of 76% computed based on the feedback received from the domain experts who analyzed ~29K system-processed images during the disaster. An extensive error analysis reveals several insights and challenges faced by the system, which are vital for the research community to advance this line of research. |
| Address |
Qatar Computing Research Institute Hamad Bin Khalifa University Doha, Qatar; Qatar Computing Research Institute Hamad Bin Khalifa University Doha, Qatar; Qatar Computing Research Institute Hamad Bin Khalifa University Doha, Qatar; Montgomery County, Maryland Community Emergency Response Team United States; Qatar Computing Research Institute Hamad Bin Khalifa University Doha, Qatar |
| Corporate Author |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
978-1-949373-27-68 |
ISBN |
2411-3454 |
Medium |
|
| Track |
Social Media for Disaster Response and Resilie |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
mimran@hbku.edu.qa |
Approved |
no |
| Call Number |
|
Serial |
2269 |
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| Author |
Klaus Granica; Thomas Nagler; Markus M. Eisl; Mathias Schardt; Helmut Rott |
| Title |
Satellite remote sensing data for an alpine related disaster management GIS |
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 |
221-232 |
| Keywords |
Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Interferometry; Observatories; Satellites; Transportation routes; Change detection; Digital terrain model; Disaster management; Dss; Earth observations; GIS based decision support systems; Satellite remote sensing; Satellite remote sensing data; Disasters |
| Abstract |
Natural disasters are an age-old problem that occur regularly in alpine regions, posing a major threat to the safety of settlements and transport routes. Within the project “Safety of Alpine Routes – Application of Earth Observation Combined with GIS (Hannibal)”, financed by the Ministry of Transport and Innovation, information relevant for disaster management has been extracted from satellite remote sensing and integrated into a newly developed GIS based Decision Support System (DSS). Some of the required map information were inferred from ERS- or from SPOT5- and QUICKBIRD satellites, others were taken from conventional data sources such as maps or Digital Terrain Models. |
| Address |
JOANNEUM Research, Austria; ENVEO, Austria; GEOSPACE, Austria |
| Corporate Author |
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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 |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
| Track |
GEOGRAPHIC INFORMATION SYSTEMS |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
542 |
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| Author |
Gerhard Wickler; Stephen Potter |
| Title |
Standard Operating Procedures: Collaborative development and distributed use |
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 |
Artificial intelligence; Information systems; Open source software; Agent Framework; Artificial intelligence planning; Collaborative development; Distributed development; Open-source; Standard operating procedures; Virtual collaboration; Wiki extensions; Standardization |
| Abstract |
This paper describes a system that supports the distributed development and deployment of Standard Operating Procedures. The system is based on popular, open-source wiki software for the SOP development, and the I-X task-centric agent framework for deployment. A preliminary evaluation using an SOP for virtual collaboration is described and shows the potential of the approach. |
| Address |
AIAI, University of Edinburgh, Edinburgh, SC, United Kingdom |
| Corporate Author |
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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 |
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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 |
|
| ISSN |
2411-3387 |
ISBN |
|
Medium |
|
| Track |
Intelligent Systems |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
1085 |
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| Author |
Benny Carlé; Fernand Vermeersch; Carlos Rojas Palma |
| Title |
Systems improving communication in case of a nuclear emergency: Two information exchange systems in the Belgian Nuclear Research Center |
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 |
57-62 |
| Keywords |
Artificial intelligence; Civil defense; Communication systems; Decision support systems; Information management; Information systems; Radioactive materials; Risk management; Crisis communications; Crisis response; Decision support system (dss); Emergency management; Emergency response; Nuclear emergencies; Emergency services |
| Abstract |
Creating a 'common view' between all stakeholders on the course of an emergency situation and the possible consequences is a challenge for any crisis management organisation. In the SCKâEUR¢CEN nuclear emergency preparedness research two projects address two different and particular communication or information management challenges. The HINES system aims at creating a common view by using an information system as a communication tool in an on-site nuclear emergency response room. The MODEM project uses XML-technology to stimulate communication between scientific experts from different countries and institutes by facilitating the exchange of information used in decision support models used to assess the impact of a release of radioactive material in the environment. Both systems are implemented in prototype phase and used regularly during exercises. © Proceedings ISCRAM 2004. |
| Address |
SCK CEN, Belgian Nuclear Research Center, Boeretang 200, 2400 Mol, Belgium |
| Corporate Author |
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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 |
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| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971080 |
Medium |
|
| Track |
Poster Session |
Expedition |
|
Conference |
1st International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
89 |
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| Author |
Stephen Potter; Yannis Kalfoglou; Harith Alani; Michelle Bachler; Simon Buckingham Shum; Rodrigo Carvalho; Ajay Chakravarthy; Stuart Chalmers; Sam Chapman; Beibei Hu; Alun Preece; Nigel Shadbolt; Austin Tate; Mischa Tuffield |
| Title |
The application of advanced knowledge technologies for emergency 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 |
361-368 |
| Keywords |
Artificial intelligence; Decision support systems; Decision supports; Emergency response; Intelligent messaging; Semantic technologies; Sensemaking; Emergency services |
| Abstract |
Making sense of the current state of an emergency and of the response to it is vital if appropriate decisions are to be made. This task involves the acquisition, interpretation and management of information. In this paper we present an integrated system that applies recent ideas and technologies from the fields of Artificial Intelligence and semantic web research to support sense-and decision-making at the tactical response level, and demonstrate it with reference to a hypothetical large-scale emergency scenario. We offer no end-user evaluation of this system; rather, we intend that it should serve as a visionary demonstration of the potential of these technologies for emergency response. |
| Address |
University of Edinburgh, United Kingdom; University of Southampton, United Kingdom; Open University, United Kingdom; University of Sheffield, United Kingdom; University of Aberdeen, United Kingdom |
| Corporate Author |
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Thesis |
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| 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 |
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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 |
9789054874171; 9789090218717 |
Medium |
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| Track |
ASCM |
Expedition |
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Conference |
4th 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 |
852 |
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| Author |
Marnix De Ridder; Chris Twenhöfel |
| Title |
The design and implementation of a decision support and information exchange system for nuclear emergency management in the Netherlands |
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 |
33-38 |
| Keywords |
Artificial intelligence; Decision support systems; Information dissemination; Information systems; Risk management; Communication facilities; Crisis management; Design and implementations; Emergency response; Information exchange system; Information exchanges; Information infrastructures; Nuclear emergencies; Information management |
| Abstract |
An information system for decision support and information exchange is designed and a prototype has been build for use in the Back Office Radiological Information (BORI) of the EPAn; the Dutch nuclear emergency organisation. System developments are directed at a fast and efficient production of a radiological status report and the improvement of information exchange and communications between the participating institutes of BORI. Special attention has been given to network security and the information infrastructure to manage virtual workplaces. We have chosen for a standard web based system development for the presentation and communication facilities. This is supplemented by a GIS based system for the aggregation of measurement data and model calculations. © Proceedings ISCRAM 2004. |
| Address |
Laboratory for Radiation Research, National Institute for Public Health and the Environment, P.O. Box 1, 3720 BA Bilthoven, 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 |
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| Track |
Emergency Response Information Systems |
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 |
98 |
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| Author |
Tim A. Majchrzak; Oliver Noack; Herbert Kuchen; Philipp Neuhaus; Frank Ückert |
| Title |
Towards a decision support system for the allocation of traumatized patients |
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 |
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Issue |
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Pages |
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| Keywords |
Artificial intelligence; Information systems; Business rules; Crisis management; Development project; IT system; Patient dispatching; Related works; Traumatized patients; Decision support systems |
| Abstract |
We present a decision support system for the allocation of traumatized patients. The assignment of patients to vehicles and hospitals is a task that requires detailed up-to-date information but has to be carried out quickly. We pro-pose to support medical staff with an IT system. We especially encourage such a system to be used in cases of mass incidents as it is very problematic – yet essential – To provide all injured with adequate healthcare as fast as possible. Our proposal is a system based on business rules. In this paper we describe the development project's background as well as the system's requirements and some details of its implementation. Moreover, we explain an exemplary scenario to show strengths of our approach. Besides discussing related work, we draw an overview of future tasks. |
| Address |
Department of Information Systems, University of Muenster, Germany; Department of Medical Informatics, University Hospital Muenster, 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 |
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Medium |
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| Track |
Geo-Information Support |
Expedition |
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Conference |
7th 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 |
738 |
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| Author |
Matthias Max; Sigmund Kluckner; Susann Jentzsch |
| Title |
Trainings for crisis information systems in civil protection: A German perspective |
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 |
518-527 |
| Keywords |
Artificial intelligence; Computer simulation; Decision support systems; Personnel training; Research and development management; Civil protection; Command and control centers; Crisis management; Personal experience; Qualitative study; Simulation; Streamline operations; Technical development; Human resource management |
| Abstract |
Much research and technical development has been conducted to make crisis management more efficient, especially regarding crisis information systems used to streamline operations of authorities during a crisis. Experts from the German Red Cross mention that there is a need for the development and improvement of specific training methods and structures for such new crisis information systems in command and control centers. They also say that computer simulations could be a practical possibility to train crisis management and response staff. To substantiate this information, interviews were conducted with key officials in the field of German civil protection: command and control center staff, command and control center software trainers and crisis information system managers. This paper presents a qualitative study in the field of training German response personnel in crisis management information systems. The results are presented in three sections: suitable training strategies and structures, challenges and best practices for the implementation of trainings and using simulation as a training method for crisis information systems. The results contain personal experiences, opinions and known best-practices of the interview partners. |
| Address |
German Red Cross, Austria; AIT Austrian Institute of Technology, 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 |
Practitioner Cases and Practitioner-Centered Research |
Expedition |
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Conference |
11th 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 |
748 |
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| Author |
Soudip Roy Chowdhury; Muhammad Imran; Muhammad Rizwan Asghar; Amer-Yahia, S.; Carlos Castillo |
| Title |
Tweet4act: Using incident-specific profiles for classifying crisis-related messages |
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 |
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Issue |
|
Pages |
834-839 |
| Keywords |
Artificial intelligence; Disaster prevention; Classification methods; Crisis informatics; Disaster management; Micro-blogging platforms; Microblogging; Precision and recall; Standard machines; Twitter data-analytics; Information systems |
| Abstract |
We present Tweet4act, a system to detect and classify crisis-related messages communicated over a microblogging platform. Our system relies on extracting content features from each message. These features and the use of an incident-specific dictionary allow us to determine the period type of an incident that each message belongs to. The period types are: Pre-incident (messages talking about prevention, mitigation, and preparedness), during-incident (messages sent while the incident is taking place), and post-incident (messages related to the response, recovery, and reconstruction). We show that our detection method can effectively identify incident-related messages with high precision and recall, and that our incident-period classification method outperforms standard machine learning classification methods. |
| Address |
University of Trento, Italy; Fehler Textmarke Nicht Definiert, University of Trento, Italy; CNRS, LIG, France; QCRI, Doha, Qatar |
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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 |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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| Track |
Social Media |
Expedition |
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Conference |
10th 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 |
396 |
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| Author |
Nan Zhang; Clare Bayley; Simon French |
| Title |
Use of web-based group decision support for crisis management |
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 |
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Issue |
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Pages |
55-58 |
| Keywords |
Artificial intelligence; Information systems; Websites; Collaboration; Crisis management; Crisis situations; Distributed decision making; Group decision supports; Small-scale experiment; Web-based group decision support system (wGDSS); Decision support systems |
| Abstract |
Web-based group decision support systems (wGDSS) are becoming more common in organizations. In this paper, we provide a review and critique of the literature on wGDSS, raising a number of issues that need addressing. Then we report on a small scale experiment using Groupsystems ThinkTank to manage an issue to do with food safety. We also describe how we propose to use ThinkTank in a crisis situation. |
| Address |
Manchester Business School, United Kingdom |
| 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 |
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| ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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| Track |
Social Networking, Web Collaboration and e Participation in Crisis and Risk Managements |
Expedition |
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Conference |
5th 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 |
1146 |
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| Author |
Lennart Landsberg; David Ganske; Christopher Munschauer; Ompe Aimé Mudimu |
| Title |
Using Existing Data to Support Operational Emergency Response in Germany – Current Use Cases, Opportunities and Challenges |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
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Issue |
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Pages |
406-415 |
| Keywords |
Emergency Response; Data Analytics; Artificial Intelligence (AI); Dispatch Strategies; Resilience |
| Abstract |
The availability of resources in the fire and ambulance services in Germany is facing a radical change. Demographic and social transition is reducing the availability of volunteer personnel, and increasing traffic congestion in cities is resulting in longer travel times for emergency vehicles. This paper presents the findings of the definition phase of a research project that addresses these changes. It shows the basic idea of how resilience of fire and ambulance services can be improved by analyzing operational data from past incidents using artificial intelligence (AI). The primary objective is the development of a decision support system for control center dispatchers, which ensures optimal use of available resources. As the result of the definition phase, this paper gives an overview of existing data, current as well as future use cases and also highlights risks and challenges that have to be considered. |
| Address |
TH Köln; TH Köln; TH Köln; TH Köln |
| Corporate Author |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. 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 |
978-1-949373-27-39 |
ISBN |
2411-3425 |
Medium |
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| Track |
Data and Resilience: Opportunities and Challenges |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
lennart_walter.landsberg@th-koeln.de |
Approved |
no |
| Call Number |
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Serial |
2240 |
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| Author |
Xiang Yao; Murray Turoff |
| Title |
Using task structure to improve Collaborative Scenario Creation |
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 |
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Issue |
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Pages |
591-594 |
| Keywords |
Artificial intelligence; Decision support systems; Collaborative Scenario Creation; Creation process; Design tasks; Entity-relationship; Modeling methodology; Task structure; Design |
| Abstract |
This paper provides a task structure design for collaborative scenario elicitation. Task structure design is part of this effort to design a new Collaborative Scenario Creation (CSC) system. The complexity of the scenario creation process hinders participants, especially novice participants, from prudently designing scenarios. Research in Group Decision Support Systems (GDSS) shows that task structure helps to improve processes and collaborations. To design task structure for collaborative scenario elicitation, this paper invokes the Entity-Relationship data modeling methodology. |
| Address |
New Jersey Institute of Technology, 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 |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
| 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 |
9789054874171; 9789090218717 |
Medium |
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| Track |
CSE |
Expedition |
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Conference |
4th 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 |
1125 |
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| Author |
Felix Riedel; Fernando Chaves |
| Title |
Workflows and decision tables for flexible early warning systems |
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 |
Artificial intelligence; Decision support systems; Information systems; Decision supports; Flexibility; Rules; Usability; Work-flows; Decision tables |
| Abstract |
Today's decision support systems for crisis management are mostly designed to support a fixed process that integrates a given set of information sources. This means policies that govern the crisis management process are tightly integrated with the implementation, which makes it hard to adapt the system to changing requirements. Modern systems are expected to be adaptable and need to evolve along with the availability of new information sources and changing business processes. Previous work suggested using workflow systems to manage crisis management processes. Current approaches that use workflow systems are not end-user friendly or not flexible enough. In this paper we present our approach that combines workflows and decision tables for creating more flexible decision support systems. While workflows are used to orchestrate services and implement information logistics in the decision support processes, embedded rule sets are used to provide flexibility and adaptability of workflows. The rule sets are authored using decision tables which are an easy-to-use representation that allows end-users to express rules in an intuitive way. © 2012 ISCRAM. |
| Address |
Fraunhofer IOSB, 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 |
Early Warning and Expert Systems for Disaster Management |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
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Serial |
194 |
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