Records |
Author |
Matti Wiegmann; Jens Kersten; Friederike Klan; Martin Potthast; Benno Stein |
Title |
Analysis of Detection Models for Disaster-Related Tweets |
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 |
872-880 |
Keywords |
Tweet Filtering; Crisis Management; Evaluation Framework |
Abstract |
Social media is perceived as a rich resource for disaster management and relief efforts, but the high class imbalance between disaster-related and non-disaster-related messages challenges a reliable detection. We analyze and compare the effectiveness of three state-of-the-art machine learning models for detecting disaster-related tweets. In this regard we introduce the Disaster Tweet Corpus~2020, an extended compilation of existing resources, which comprises a total of 123,166 tweets from 46~disasters covering 9~disaster types. Our findings from a large experiments series include: detection models work equally well over a broad range of disaster types when being trained for the respective type, a domain transfer across disaster types leads to unacceptable performance drops, or, similarly, type-agnostic classification models behave more robust at a lower effectiveness level. Altogether, the average misclassification rate of~3,8\% on performance-optimized detection models indicates effective classification knowledge but comes at the price of insufficient generalizability. |
Address |
Bauhaus-Universit\“at Weimar German Aerospace Center (DLR); German Aerospace Center (DLR); German Aerospace Center (DLR); Leipzig University; Bauhaus-Universit\”at Weimar |
Corporate Author |
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Thesis |
|
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 |
|
Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-77 |
ISBN |
2411-3463 |
Medium |
|
Track |
Social Media for Disaster Response and Resilie |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
matti.wiegmann@uni-weimar.de |
Approved |
no |
Call Number |
|
Serial |
2278 |
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Author |
Kenny Meesters; Bartel A. Van De Walle |
Title |
Towards an impact evaluation framework for the collaborative information supply chain in humanitarian crisis response |
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 |
536-545 |
Keywords |
Supply chains; Impact evaluation; Information supply chain; Requirement analysis; Systems development; User participation; Information systems |
Abstract |
Emerging technologies provide opportunities for the humanitarian responders' community to enhance the effectiveness of their response to crisis situations. A part of this development can be contributed to a new type of information supply chains -driven by collaboration with digital, online communities- enabling organizations to make better informed decisions. However, how exactly and to what extend this collaboration impacts the decision making process is unknown. To improve these new information exchanges and the corresponding systems, an evaluation method is needed to assess the performance of these processes and systems. This paper builds on existing evaluation methods for information systems and design principles to propose such an impact evaluation framework. The proposed framework has been applied in a case study to demonstrate its potential to identify areas for further improvement in the (online) collaboration between information suppliers and users. |
Address |
Tilburg University, Netherlands |
Corporate Author |
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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 |
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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 |
9783923704804 |
Medium |
|
Track |
Humanitarian Challenges |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
759 |
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Author |
Ulrich Meissen; Agnès Voisard |
Title |
Increasing the effectiveness of early warning via context-aware alerting |
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 |
431-440 |
Keywords |
Disaster prevention; Alert systems; Context-awareness; Disaster prevention and mitigations; Early Warning System; Early warning systems; Evaluation modeling; New information and communication technologies; Research results; Information systems |
Abstract |
The effective implementation of early warning is one of the best investments for disaster prevention and mitigation. In the last decade, we have witnessed strong efforts and progress towards better risk detection, monitoring and prediction. However, the best warnings are ineffective if they cannot be distributed in a timely way and targeted to people at risk. With the evolvement of new Information and Communication Technologies, we have new opportunities and face new challenges for improving classical warning processes. Based on our experience and research results from two user-centered hydro-meteorological Early Warning Systems (EWS) we present an approach for context-aware alerting that can increase considerably the effectiveness of warning. Furthermore, we introduce an applied evaluation model for the effectiveness of an EWS. |
Address |
Fraunhofer Institute for Software and Systems Engineering (ISST), Mollstr. 1, 10178 Berlin, Germany; Institute of Computer Science, FU Berlin, Germany |
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 |
|
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 |
763 |
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Author |
Michael Erskine; Scott Seipel; Cayson Seipel |
Title |
Development of a Geospatial Agent-Based Simulation of Disaster Evacuations for Battery Electric Vehicle (BEV) Policy |
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 |
532-540 |
Keywords |
Battery Electric Vehicles; Government Policy; Hurricane Evacuation; Geospatial Agent-Based Simulation |
Abstract |
Several nations have signaled their intent to phase out petroleum-based engines for passenger vehicles and promote a transition to battery electric vehicles (BEVs). While researchers have established the long-term environmental benefits of BEVs, there are critical considerations for policymakers in areas prone to natural disasters. This research intends to develop a geospatial-based model to explore and simulate the evacuation of BEVs during a disaster. This work-in-progress (WiPe) paper examines the variables essential to creating an effective hurricane simulation. The final simulation model is intended to allow for the evaluation of BEV policy options under a variety of scenarios. We describe the considerations made during the development of this geospatial agent-based simulation under various hurricane parameters. Finally, we mention the expected benefits of our work and hint at possible policy directions. |
Address |
Middle Tennessee State University; Middle Tennessee State University; Middle Tennessee State University |
Corporate Author |
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Thesis |
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Publisher |
|
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 |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
|
Track |
Geospatial Technologies and Geographic Information Science for Crisis Management |
Expedition |
|
Conference |
|
Notes |
|
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2437 |
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Author |
Thomas Münzberg; Marcus Wiens; Frank Schultmann |
Title |
A strategy evaluation framework based on dynamic vulnerability assessments |
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 |
45-54 |
Keywords |
Climate change; Decision support systems; Flood control; Information systems; Linear programming; Multiobjective optimization; Risk perception; Decision supports; Evaluation framework; Flood management; Goal programming; Management strategies; Strategy evaluations; Test strategies; Vulnerability assessments; Risk assessment |
Abstract |
Assessing a system's vulnerability is a widely used method to estimate the effects of risks. In the past years, increasingly dynamic vulnerability assessments were developed to display changes in vulnerability over time (e.g. in climate change, coastal vulnerability, and flood management). This implies that the dynamic influences of management strategies on vulnerability need to be considered in the selection and implementation of strategies. For this purpose, we present a strategy evaluation framework which is based on dynamic vulnerability assessments. The key contribution reported in this paper is an evaluation framework that considers how well strategies achieve a predefined target level of protection over time. Protection Target Levels are predefined objectives. The framework proposed is inspired by Goal Programming methods and allows distinguishing the relevance of time-dependent achievements by weights. This enables decision-makers to evaluate the overall performance of strategies, to test strategies, and to compare the outcome of strategies. |
Address |
Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany; Institute for Industrial Production, Karlsruhe Institute of Technology, Germany |
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 |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
798 |
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Author |
Ahmed Nagy; Lusine Mkrtchyan; Klaas Van Der Meer |
Title |
A CBRN detection framework using fuzzy logic |
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 |
266-271 |
Keywords |
Data mining; Decision support systems; Disaster prevention; Fuzzy set theory; Information systems; Decision supports; Degree of credibility; Disaster management; Distributed approaches; Evaluation approach; Human activities; Ordered weighted aggregations; Potential values; Fuzzy logic |
Abstract |
Identifying a chemical, biological, radiological, and nuclear incident (CBRN) is a challenge. Evidence and health symptoms resulting from CBRN malevolent incident overlap with other normal non malevolent human activities. However, proper fusion of symptoms and evidence can aid in drawing conclusions with a certain degree of credibility about the existence of an incident. There are two types of incidents directly observable, overt, or indirectly observable, covert, which can be detected from the symptoms and consequences. This paper describes a framework for identifying a CBRN incident from available evidence using a fuzzy belief degree distributed approach. We present two approaches for evidence fusion and aggregation; the first, two level cumulative belief degree (CBD) while the second is ordered weighted aggregation of belief degrees (OWA). The evaluation approach undertaken shows the potential value of the two techniques. |
Address |
SCK/CEN, Belgium |
Corporate Author |
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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 |
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Abbreviated Series Title |
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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 |
804 |
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|
Author |
Nasik Muhammad Nafi; Avishek Bose; Sarthak Khanal; Doina Caragea; William H. Hsu |
Title |
Abstractive Text Summarization of Disaster-Related Documents |
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 |
881-892 |
Keywords |
Disaster Reporting; Text Summarization; Information Extraction; Reinforcement Learning; Evaluation Metrics |
Abstract |
Abstractive summarization is intended to capture key information from the full text of documents. In the application domain of disaster and crisis event reporting, key information includes disaster effects, cause, and severity. While some researches regarding information extraction in the disaster domain have focused on keyphrase extraction from short disaster-related texts like tweets, there is hardly any work that attempts abstractive summarization of long disaster-related documents. Following the recent success of Reinforcement Learning (RL) in other domains, we leverage an RL-based state-of-the-art approach in abstractive summarization to summarize disaster-related documents. RL enables an agent to find an optimal policy by maximizing some reward. We design a novel hybrid reward metric for the disaster domain by combining \underline{Vec}tor Similarity and \underline{Lex}icon Matching (\textit{VecLex}) to maximize the relevance of the abstract to the source document while focusing on disaster-related keywords. We evaluate the model on a disaster-related subset of a CNN/Daily Mail dataset consisting of 104,913 documents. The results show that our approach produces more informative summaries and achieves higher \textit{VecLex} scores compared to the baseline. |
Address |
Kansas State University; Kansas State University; Kansas State University; Kansas State University; Kansas State University |
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 |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-78 |
ISBN |
2411-3464 |
Medium |
|
Track |
Social Media for Disaster Response and Resilie |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
nnafi@ksu.edu |
Approved |
no |
Call Number |
|
Serial |
2279 |
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Author |
Nicoletta Baroutsi |
Title |
A Practitioners Guide for C2 Evaluations: Quantitative Measurements of Performance and Effectiveness |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
|
Issue |
|
Pages |
170-189 |
Keywords |
Performance, Effectiveness, Evaluation, Crisis Response Management, Command & Control, Quantitative Measurements |
Abstract |
Quantitative evaluations are valuable in the strive for improvements and asserting quality. However, the field of Command & Control (C2) evaluations are hard to navigate, and it is difficult to find the correct measurement for a specific situation. A comprehensive Scoping Study was made concerning measurements of C2 performance and effectiveness. A lack of an existing appropriate framework for discussing C2 evaluations led to the development of the Crisis Response Management (CRM) Matrix. This is an analysis tool that assigns measurements into categories, and each category display unique strengths, weaknesses and trends. The analysis yielded results proving to be too rich for a single article, thusly, this is the first of two articles covering the results. In this article, the Practitioners Guide focus on results valuable for someone interested in evaluating C2. Each evaluation has specific requirements that, for best result, ought to be reflected in the chosen measurement. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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 |
978-0-692-12760-5 |
Medium |
|
Track |
Command and control studies |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2098 |
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Author |
Jason R.C. Nurse; Sadie Creese; Michael Goldsmith; Rachel Craddock; Glyn Jones |
Title |
An initial usability evaluation of the secure situation awareness system |
Type |
Conference Article |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Information systems; Crisis management; Human experience; Situation awareness; System evaluation; Usability; User testing; Bioinformatics |
Abstract |
The importance of situation awareness systems in crisis-management scenarios cannot be emphasised enough. These systems enable entire disaster situations to be mapped out in a real-time fashion thereby aiding significantly in human decision-making and the necessary positioning, management and deployment of resources. As a result of the core role these systems play in responding to crises, it is vital that they are highly usable and optimized for human cognition and experience. In this paper we consider this reality in the context of an initial evaluation of the visualisation interface of a situation-awareness tool called Secure Situation Awareness (SSA). Our evaluation seeks to gather useful feedback from potential end-users on the usability of the tool's interface to feed into the design and development of interfaces for similar systems. © 2012 ISCRAM. |
Address |
Department of Computer Science, University of Oxford, United Kingdom; Thales UK Research and Technology, United Kingdom |
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 |
Human Experiences in the Design of Crisis Response and Management Services and Systems |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
176 |
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Author |
Oscar Durán; Edward Ruiz; Catalina Esquivel |
Title |
Towards a Monitoring and Follow Up System for the Costa Rican Risk Management System |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Monitoring; Disaster Risk Management; Information Shared; Government; Decision Making; Evaluation; Public Policies |
Abstract |
The institutions that make up the Costa Rican Risk Management System are in charge of implementing the National Policy on Risk Management. It is necessary to highlight the scope of each institution regarding such implementation. This paper presents the proposal for a monitoring and follow up model. The monitoring to be implemented must process and provide precise information for decision making. This work presents the conceptual and methodological aspects for the aforementioned monitoring system. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3418 |
ISBN |
978-84-608-7984-39 |
Medium |
|
Track |
Planning, Foresight and Risk Analysis |
Expedition |
|
Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1358 |
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Author |
Peter Otto; Salvatore Belardo |
Title |
A theoretical evaluation of information processing resources during organizational crisis |
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 |
262-271 |
Keywords |
Computer simulation; Information systems; Stresses; Crisis; Crisis management; Double-loop learning; Organizational learning; Single-loop learning; Theoretical evaluation; Theoretical framework; Yerkes-dodson laws; Computer aided instruction |
Abstract |
The purpose of this paper is to present a model for testing different organizational learning characteristics and their effects on performance rate in times of an unexpected temporary increase in workload. Drawing on the theoretical frameworks of Yerkes-Dodson law, the stress-buffering effect of coping resources, and established crisis management models, the authors examine the hypotheses of curvilinear and interactional influence of single and double-loop learning on stress levels during crises. Using a simulation model, we identify thresholds in single and double-loop learning environments, where increases in workload lead to dysfunctional effects of stress. The findings indicate support for the hypothesis that an organization that employs double-loop learning is less susceptible to negative stress in times of a crisis. Overall, the study highlights the characteristics of different learning types and its effects on stress. It is suggested that experiments with a simulation model lead to a better understanding of how information processing resources that people have access to in stress events, buffers or protects them from negative effects. |
Address |
Management Information Systems, School of Business, Dowling College, NY, United States; Management Science and Information Systems, School of Business, University at Albany, Albany, NY, United States |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
|
Track |
SYSTEM DYNAMICS MODELING FOR EMERGENCY MANAGEMENT |
Expedition |
|
Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
822 |
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Author |
Christopher E. Oxendine; Emily Schnebele; Guido Cervone; Nigel Waters |
Title |
Fusing non-authoritative data to improve situational awareness in emergencies |
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 |
762-766 |
Keywords |
Damage detection; Earth (planet); Damage assessments; Emergency; Emergency evacuation; Emergency operations; Evacuation; Non-authoritative data; Situational awareness; Spatio-temporal data; Information systems |
Abstract |
In order to coordinate emergency operations and evacuations, it is vital to accurately assess damage to people, property, and the environment. For decades remote sensing has been used to observe the Earth from air, space and ground based sensors. These sensors collect massive amounts of dynamic and geographically distributed spatiotemporal data every day. However, despite the immense quantity of data available, gaps are often present due to the specific limitations of the sensors or their carrier platforms. This article illustrates how nonauthoritative data such as social media, news, tweets, and mobile phone data can be used to fill in these gaps. Two case studies are presented which employ non-authoritative data to fill in the gaps for improved situational awareness during damage assessments and emergency evacuations. |
Address |
Department of Geography and Environmental Engineering, United States Military Academy, United States; Department of Geography and GeoInformation Science, George Mason University, United States; Department of Geography, Penn State University, United States |
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 |
Social Media in Crisis Response and Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
825 |
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Author |
Pauline Tobergte; Alena Knispel; Lennart Landsberg; Ompe Aimé Mudimu |
Title |
Evaluation of Tabletop Exercises in Emergency Response Research and Application in the Research Project SORTIE |
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 |
415-427 |
Keywords |
tabletop exercise; training; observation; evaluation; emergency services |
Abstract |
This paper presents the fields of application of the tabletop exercise in emergency response by explaining the method in emergency response research. The authors illustrate the tabletop exercise of the Institute for Rescue Engineering and Civil Protection (IRG) of the TH Köln in a research project on Sensor Systems for Localization of Trapped Victims in Collapsed Infrastructure (acronym: SORTIE) as an application example. Subsequently, the quantitative and qualitative evaluation methods used generally and specifically for the tabletop exercise of the research project SORTIE are considered, and the technical implementation is explained. The evaluation method used in the tabletop exercise consists of three sub-areas (participant survey; exercise observation; photo, video and audio recordings). Further, the analysis of the evaluation using statistical tools is explained. Finally, this paper refers to possible sources of error in the evaluation of tabletop exercises, such as exercise artificiality and subjectivity of the exercise observers. |
Address |
TH Köln |
Corporate Author |
|
Thesis |
|
Publisher |
|
Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
Language |
English |
Summary Language |
|
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
|
Track |
Command and Control Studies |
Expedition |
|
Conference |
|
Notes |
|
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2429 |
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|
|
Author |
Kenneth S. Pelman; Anthony C. Robinson |
Title |
An interactive mapping application for rapid evacuation planning |
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 |
Information systems; Planning; World Wide Web; Commercial software; Emergency situation; Evacuation; Evacuation planning; Interactive development; Interactive mapping; Mashups; Spatial informations; Mapping |
Abstract |
Current GIS solutions for evacuation planning are frequently based on expensive and difficult to use commercial software solutions. These tools require a GIS analyst to generate and interpret results for decision makers. This paper introduces a web-based interactive mapping tool called EvacSpace that can provide emergency managers with actionable spatial information to develop plans for potential citizen evacuations in common emergency situations. Easy-to-use web mapping software and services are blended together with cloud computing methods to support interactive, visually-enabled evacuation planning and scenario evaluation. Here we show our current progress through a case study application to characterize the usefulness and utility of EvacSpace for the rapid, interactive development and assessment of evacuation plans. |
Address |
GeoVISTA Center, Department of Geography, Pennsylvania State University, United States |
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 |
Geographic Information Science |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
838 |
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|
|
Author |
Sofie Pilemalm; Niklas Hallberg |
Title |
Exploring service-oriented C2 support for emergency response for local communities |
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 |
159-166 |
Keywords |
Command and control systems; Information systems; Quality assurance; Command and control; Emergency response; Literature studies; Natural disasters; Scenario-based evaluation; Scenario-driven evaluation; Service orientation; Service Oriented; Emergency services |
Abstract |
The increased impact of natural disasters and terror attacks on our society has augmented the awareness of needs for advances in emergency response. For local communities it is vital to make use of existing resources. Service-oriented technology provides new possibilities for the enhancement of command and control (C2) systems. However, to gain full use of the technology, it must harmonize with the supported organizations and their work procedures. This paper explores the possibilities and usefulness of service oriented C2-systems for emergency response at the local community level. The study was performed in five steps: (1) literature study, (2) interviews, (3) scenario design, (4) prototyping service-oriented C2 systems, and (5) a scenario based evaluation. The results show that service-oriented C2 systems would support and enhance emergency response at the local community level. Still, several issues that need to be further considered remain, not the least the ability of quality assurance of services. |
Address |
Swedish Defense Research Agency, Sweden |
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 |
Virtual Teams and Virtual Communities in Emergency Preparedness and Response |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
843 |
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|
Author |
Quanlai Zhao; Guofeng Su; Hongyong Yuan |
Title |
Fast Marching Method Applied For Emergency Evacuation in High-rise Building Fire |
Type |
Conference Article |
Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Evacuation path; Fast marching method; Global potential energy field; Risk distribution |
Abstract |
In this paper, we use the fast marching method to solve the emergency evacuation in high-rise building fire. This method is a numerical method which is used to solve the Eikonal equation in rectangular grids. As we know, building fires are very common in the world. They have caused a great deal of personnel casualty and property losses. How to reduce the casualty and ensure the life safety of trapped persons and rescuers have become the most important problem of the fire department. We carry out fire experiment and FDS simulation to research the structure fire firstly. Second, we divide the construction into 0.4m*0.4m grid. This size is a person who occupied when he is standing. After that, we use interpolation method to analyze the experiment and FDS simulation data so that we can get the risk value of each grid. At last, we calculate the global potential energy field of the scene based on the fast marching method and obtain a safest path for the trapped persons. The safest path represents the fastest-risk-decline path. In the cause of fire rescue we can provide the safest path to the trapped persons through evacuation signals of the building in order to guide them to evacuate and self-rescue. |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
|
Track |
Analytical Modelling and Simulation |
Expedition |
|
Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1195 |
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|
|
Author |
Radianti, J.; Pilemalm, S.; Steen-Tveit, K.; Rustenberg, K. |
Title |
Enhancing Learning from Incidents by Reconstruction of Events: Using the SQUARE Tool for Evaluation |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
663-675 |
Keywords |
Learning from Incidents; Event Reconstruction-Based Evaluation; Tabletop Exercise |
Abstract |
Evaluation after exercise and incidents—often called After Action Review or AAR—are important to enhance the emergency management (EM) response capability. However, evaluation supporttools for event reconstruction after incidents and exercises are not yet fully available. We engaged EM stakeholders in a tabletop exercise based on snow chaos and car accidents scenarios to evaluate a fully functional prototype. The tool assists information sharing in real-time and enhances debriefing process of any EM response and exercise. Analysis of reflective discussions and an open question survey shows that the EM participants consider the features of the prototype to facilitate better learning from incidents. However, they have different attitudes concerning the adoption, management, and application of the tool in organizations. For instance, more security features are required to comply with regulations. We argue that the tool is an important first step to fill the gap on the need for “event reconstruction-based evaluation.” |
Address |
Department of Information Systems, University of Agder |
Corporate Author |
|
Thesis |
|
Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
|
Original Title |
|
Series Editor |
Hosssein Baharmand |
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
1 |
ISSN |
|
ISBN |
|
Medium |
|
Track |
Command and Control Studies |
Expedition |
|
Conference |
|
Notes |
http://dx.doi.org/10.59297/EQKP4179 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2555 |
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|
|
Author |
Wolfgang Raskob; Valentin Bertsch; Jutta Geldermann.; Sandra Baig; Florian Gering |
Title |
Demands to and experience with the decision support system rodos for off-site emergency management in the decision making process in Germany |
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 |
269-278 |
Keywords |
Accidents; Civil defense; Decision making; Decision support systems; Disasters; Information systems; Risk management; Sensitivity analysis; Decision making process; Emergency management; Emergency situation; Integrated evaluation; Multi-criteria decision analysis; Multi-criteria evaluation; Radiological accidents; Stakeholder involvement; Artificial intelligence |
Abstract |
Emergency situations, man-made as well as natural, can differ considerably. However, they share the characteristic of sudden onset, involve complex decisions and necessitate a coherent and effective emergency management. In the event of a nuclear or radiological accident in Europe, the real-time on-line decision support system RODOS provides support from the early phase through to the medium and long-term phases. This paper describes the demands to a Decision Support System from a user-centred view as well as experiences gained from conducting moderated decision making workshops based on a hypothetical accident scenario focusing on the evaluation of long-term countermeasures using the simulation capabilities of the RODOS system and its recently integrated evaluation component Web-HIPRE, a tool for multi-criteria decision analysis (MCDA). |
Address |
Forschungszentrum Karlsruhe (FZK), IKET, Karlsruhe, Germany; University of Karlsruhe (TH), DFIU, Karlsruhe, Germany; Federal Office for Radiation Protection (BfS), Germany |
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 |
NUCLEAR EMERGENCY MANAGEMENT |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
869 |
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|
|
Author |
Robert Zinke; Laura Künzer; Benjamin Schröder; Christina Schäfer |
Title |
Integrating Human Factors into Evacuation Simulations – Application of the Persona Method for Generating Populations |
Type |
Conference Article |
Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
Volume |
|
Issue |
|
Pages |
127-138 |
Keywords |
Persona method; pedestrian simulation; preparedness; human factors; evacuation |
Abstract |
For assessing evacuation dynamics in disaster situations, current approaches of pedestrian simulations increasingly include additional human characteristics. One aim is to assess realistic effects of structural changes of an infrastructure on evacuation behavior displayed by users. Creating agents with supplementary physical and psychological human characteristics and assembling the agents in accordance to the user's population may be beneficial not only to support decision making. The analysis of simulated effects of, e.g., informational strategies will foster crisis and disaster management. This paper combines knowledge about users in subway systems and highlights benefits of using the Persona method to improve objectivity in the specification of different user types. Persona method is adapted to pedestrian simulation. Using data from the authors´ field studies, personas are developed and implemented for an evacuation simulation. First findings suggest that including personas into pedestrian simulation influences the results with respect to the required safe evacuation time (RSET). |
Address |
Team Human Factors; Jülich Supercomputing Centre; CIK -Paderborn University |
Corporate Author |
|
Thesis |
|
Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
14th International Conference on Information Systems for Crisis Response And Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2005 |
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|
|
Author |
Anthony C. Robinson; Alexander Savelyev; Scott Pezanowski; Alan M. MacEachren |
Title |
Understanding the utility of geospatial information in social media |
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 |
918-922 |
Keywords |
Information systems; Job analysis; Visualization; Evaluation; Geo-spatial informations; Geographic information; Geovisual analytics; Situational awareness; Social media; Visual analytics; Visual analytics systems; Information science |
Abstract |
Crisis situations generate tens of millions of social media reports, many of which contain references to geographic features and locations. Contemporary systems are now capable of mining and visualizing these location references in social media reports, but we have yet to develop a deep understanding of what end-users will expect to do with this information when attempting to achieve situational awareness. To explore this problem, we have conducted a utility and usability analysis of SensePlace2, a geovisual analytics tool designed to explore geospatial information found in Tweets. Eight users completed a task analysis and survey study using SensePlace2. Our findings reveal user expectations and key paths for solving usability and utility issues to inform the design of future visual analytics systems that incorporate geographic information from social media. |
Address |
Department of Geography, GeoVISTA Center, Penn State University, United States |
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 |
Social Media |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
883 |
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|
|
Author |
Eli Rohn; Gil Erez |
Title |
Fighting agro-terrorism in cyberspace: A framework for intention detection using overt electronic data sources |
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 |
Bioterrorism; Chemical detection; Data mining; Information retrieval; Information systems; Risk assessment; World Wide Web; Authorship; Cyber-terrorism; Digital shadow; Intelligence; Text mining; Terrorism |
Abstract |
Agro Terrorism is “a hostile attack, towards an agricultural environment, including infrastructures and processes, in order to significantly damage national and international political interests”. This special session within the early warning track is aimed at reducing agro-terrorism related risks by either means of prevention (intelligence gathering using data mining and chatter mining, for example) or means to response to such an attack by early detection of exotic/foreign pathogenic agents, early prediction of disease dispersion patterns, implementation of biosecurity measures, and the development of future methodologies and techniques related to food defense and post-event response. This paper focuses on intention detection using overt data sources on the World Wide Web as they relate to agro-terrorism threats. The paper focuses on early detection that can lead to prevention of such acts, yet a variety of the techniques presented here are also useful for helping in post-event perpetrators detection. © 2012 ISCRAM. |
Address |
Software and Information Systems Engineering Department, Ben Gurion University, Israel; Counter Agro Terrorism Research Center, Israel |
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 |
Planning and Foresight |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
196 |
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|
|
Author |
Jorge H. Roman; Linn Marks Collins; Ketan K. Mane; Mark L.B. Martinez; Carolyn E Dunford; James E. Powell Jr. |
Title |
Reducing information overload in emergencies by detecting themes in web content |
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 |
101-107 |
Keywords |
Information retrieval; Information retrieval systems; Information systems; Internet; Knowledge management; Disaster response; Emergency information; Information overloads; Unstructured texts; Web content; Web crawl; Websites |
Abstract |
Information on the Web has become increasingly important in disaster response. Yet much of this information is redundant. We are creating a suite of electronic knowledge management (eKM) tools that can be used to reduce by an order of magnitude the information that people need to read in order to gain and maintain awareness of web content during emergencies. In this paper, we describe research-in-progress on developing these tools and applying them to web content from organizations' websites and individuals' blogs. Results so far indicate that organizations' websites and individuals' blogs provide redundant coverage of general issues and that each provides additional information about specific issues. By using the tools we are developing, responders and victims will be able to quickly gather an overview of general issues derived from many websites, then learn more about specific issues by navigating to a few websites. |
Address |
Los Alamos National Laboratory, 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 |
Methods for Mitigating Information Overload |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
888 |
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|
Author |
Rouba Iskandar; Julie Dugdale; Elise Beck; Cécile Cornou |
Title |
PEERS: An integrated agent-based framework for simulating pedestrians' earthquake evacuation |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
86-96 |
Keywords |
Seismic risk, human behavior, interdisciplinarity, evacuation, agent-based model |
Abstract |
Traditional seismic risk assessment approaches focus on assessing the damages to the urban fabric and the resultant socio-economic consequences, without adequately incorporating the social component of risk. However, the human behavior is essential for anticipating the impacts of an earthquake, and should be included in quantitative risk assessment studies. This paper proposes an interdisciplinary agent-based modeling framework for simulating pedestrians' evacuation in an urban environment during and in the immediate aftermath of an earthquake. The model is applied to Beirut, Lebanon and integrates geo-spatial, socio-demographic, and quantitative behavioral data corresponding to the study area. Several scenarios are proposed to be explored using this model in order to identify the influence of relevant model parameters. These experiments could contribute to the development of improved of emergency management plans and prevention strategies. |
Address |
Université Grenoble Alpes, ISTerre, Pacte, LIG; Université Grenoble Alpes, LIG; Université Grenoble Alpes, Pacte; Université Grenoble Alpes, ISTerre |
Corporate Author |
|
Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
rouba.iskandar@univ-grenoble-alpes.fr |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2316 |
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|
|
Author |
Heiko Roßnagel; Jan Zibuschka; Olaf Junker |
Title |
On the effectiveness of mobile service notification for passenger egress during large public events |
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 |
Benchmarking; Information systems; Agent based simulation; Broadcast messages; Evacuation strategy; Key performance indicators; Large public events; Mobile service; Passenger egress; Simulation; Mobile telecommunication systems |
Abstract |
In this contribution we evaluate the effectiveness of mobile services for passenger egress of a train station during a large public event using an agent-based simulation approach. For this simulation we built a virtual replica of the Cologne central train station and collected empirical data on passenger numbers and their movements during a large public event. We simulate several different scenarios and compare the results using key performance indicators, such as time for egress. Our results show that dedicated cell broadcast messages under the described circumstances can be used to decrease evacuation time significantly and that the simulation can be used to quickly investigate the relevant key performance indicators needed to asses and evaluate the effectiveness of different notification and evacuation strategies. |
Address |
Fraunhofer IAO, Germany; Airport Research Center, Germany |
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 |
Early Warning and Alert Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
891 |
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|
|
Author |
Schmidt-Colberg, A.; Löffler-Dauth, L. |
Title |
A Human-Centric Evaluation Dataset for Automated Early Wildfire Detection from a Causal Perspective |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
933-943 |
Keywords |
Wildfire Detection; Supervised Learning; Causality; Evaluation |
Abstract |
Insight into performance ability is crucial for successfully implementing AI solutions in real-world applications. Unanticipated input can lead to false positives (FP) and false negatives (FN), potentially resulting in false alarms in fire detection scenarios. Literature on fire detection models shows varying levels of complexity and explicability in evaluation practices; little supplementary information on performance ability outside of accuracy scores is provided. We advocate for a standardized evaluation dataset that prioritizes the end-user perspective in assessing performance capabilities. This leads us to ask what an evaluation dataset needs to constitute to enable a non-expert to determine the adequacy of a model's performance capabilities for their specific use case. We propose using data augmentation techniques that simulate interventions to remove the connection to the original target label, providing interpretable counterfactual explanations into a model's predictions. |
Address |
Fraunhofer FOKUS |
Corporate Author |
|
Thesis |
|
Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
|
Original Title |
|
Series Editor |
Hosssein Baharmand |
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
1 |
ISSN |
|
ISBN |
|
Medium |
|
Track |
AI for Crisis Management |
Expedition |
|
Conference |
|
Notes |
http://dx.doi.org/10.59297/KHML7113 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2577 |
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