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	Author	Zvonko Grzetic; Nenad Mladineo; Snjezana Knezic
	Title	Emergency management systems to accommodate ships in distress			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	669-678
	Keywords	Artificial intelligence; Civil defense; Decision support systems; Disasters; Geographic information systems; Information systems; Risk management; Decision support system (dss); Dss; Emergency management; Emergency management systems; European Parliament; Model-based OPC; Multi Criteria Analysis; Operational research; Ships
	Abstract	As a future member of the European Union (EU), Croatia has decided to implement EU Directive 2002/59/EC of the European Parliament and of the Council binding all EU member states to define places of refuge for ships in need of assistance off their coasts, or to develop techniques for providing assistance to such ships. Consequently, the Ministry of the Sea, Tourism, Transport and Development of the Republic of Croatia has initiated a project for developing an effective Decision Support System (DSS) for defining the places of refuge for ships in distress at sea. Such a system would include a model based upon GIS and different operational research models, which would eventually result in establishing an integral DSS. Starting points for analysis are shipping corridors, and 380 potential locations for places of refuge designated in the official navigational pilot book. Multicriteria analysis, with GIS-generated input data, would be used to establish worthiness of a place of refuge for each ship category, taking into account kinds of accident. Tables of available intervention resources would be made, as well as analysis of their availability in respect of response time, and quantitative and qualitative sufficiency.
	Address	Hydrographic Institute of the Republic of Croatia, Zrinsko-Frankopanska 161, 21000 Split, Croatia; University of Split, Faculty of Civil Engineering and Architecture, Matice hrvatske 15, 21000 Split, Croatia
	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	Visualization and Smart Room Technology for Decision Making, Information Sharing, and Collaboration	Expedition		Conference	5th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	551
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	Author	Zeno Franco; Syed Ahmed; Craig E. Kuziemsky; Paul A. Biedrzycki; Anne Kissack
	Title	Using social network analysis to explore issues of latency, connectivity, interoperability & sustainability in community disaster 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	896-900
	Keywords	Data fusion; Disasters; Information systems; Mergers and acquisitions; Social networking (online); Boundary spanning; Community engagement; Community resources; Community vulnerability; Crisis response; Disaster recovery; Disaster response; Social network analysis approaches; Emergency services
	Abstract	Community-based disaster response is gaining attention in the United States because of major problems with domestic disaster recovery over the last decade. A social network analysis approach is used to illustrate how community-academic partnerships offer one way to leverage information about existing, mediated relationships with the community through trusted actors. These partnerships offer a platform that can be used to provide entré into communities that are often closed to outsiders, while also allowing greater access to community embedded physical assets and human resources, thus facilitated more culturally appropriate crisis response. Using existing, publically available information about funded community-academic partnerships in Wisconsin, USA, we show how social network analysis of these meta-organizations may provide critical information about both community vulnerabilities in disaster and assist in rapidly identifying these community resources in the aftermath of a crisis event that may provide utility for boundary spanning crisis information systems.
	Address	Medical College of Wisconsin, United States; U. Ottawa, Canada; City of Milwaukee Public Health Department, United Kingdom
	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	504
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	Author	Yongzhong Sha; Jinsong Yan; Guoray Cai
	Title	Detecting public sentiment over PM2.5 pollution hazards through analysis of Chinese microblog			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	722-726
	Keywords	Air pollution; Information systems; Time series analysis; Crisis; Pm2.5; Public opinions; Sentiment analysis; Social media analysis; Social aspects
	Abstract	Decision-making in crisis management can benefit from routine monitoring of the (social) media to discover the mass opinion on highly sensitive crisis events. We present an experiment that analyzes Chinese microblog data (extracted from Weibo.cn) to measure sentiment strength and its change in relation to the recent PM 2.5 air pollution events. The data were analyzed using SentiStrength algorithm together with a special sentiment words dictionary tailored and refined for Chinese language. The results of time series analysis on detected sentiment strength showed that less than one percent of the posts are strong-positive or strong negative. Weekly sentiment strength measures show symmetric changes in positive and negative strength, but overall trend moved towards more positive opinions. Special attention was given to sharp bursts of sentiment strength that coincide temporally with the occurrence of extreme social events. These findings suggest that sentiment strength analysis may generate useful alert and awareness of pending extreme social events.
	Address	Lanzhou University, Gansu, China; Penn State University, University Park, PA, United States
	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	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	939
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	Author	Yixing Shan; Lili Yang; Roy Kalawsky
	Title	Exploring the prescriptive modeling of fire situation assessment			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	60-64
	Keywords	Hardware; Ecological rationality; Emergency response; Empirical investigation; Fast and frugal heuristics; Judgment analysis; Prescriptive models; Situation assessment; Situation awareness; Information systems
	Abstract	One of the key assumptions in Endsley's three-level Situation Awareness (SA) model is the critical role of mental models in the development and maintenance of SA. We explored a prescriptive way of modeling this essential mental process of the fire incident commanders' fire ground assessment. The modeling was drawn from the Fast and Frugal Heuristics (FFHs) program, given the strong parallels between its contentions on ecological rationality and the environment demanding of the emergency response context. This paper addresses a number of issues being encountered in the attempt of our empirical investigation.
	Address	Loughborough University, United Kingdom
	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	Analytic Modeling and Simulation	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	942
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	Author	Yiting Zheng; Jianguo Chen; Wenjie Tang; Jiaxiang Xu
	Title	Research on Target Diversity and Risk Analysis Model of Terrorist Attack			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	Terrorist Attack; Target Diversity; Risk Analysis Model; The Fuzzy Synthesis Decision-Making Method
	Abstract	Terrorist attack continues to spread in the world which leads to severe casualties and property losses and poses great pressure to the government. Therefore it is essential to identify the potential targets terrorists may select, assess the risk level and take risk management measures in advance. Aiming to this problem, the paper provides a new analysis method. Firstly it investigates target types terrorists prefer to and target diversity based on the data in Global Terrorist Database ; Then it puts forward the target risk analysis of three-dimensional model which considers the threat probabilityã?the target vulnerability and the consequence severity; Finally, the paper calculates and assesses the risk level using the fuzzy synthesis decision-making method, and two examples are given to prove the feasibility of the model. The result can contribute to target risk analysis and emergency preparedness or management of terrorist attack.
	Address
	Corporate Author				Thesis
	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
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3409	ISBN	978-84-608-7984-30	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	1349
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	Author	Yasir Javed; Tony Norris; David Johnston
	Title	Evaluating SAVER: Measuring shared and team situation awareness of emergency decision makers			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	Decision making; Information systems; Systems analysis; Decision performance; Emergency; Large-scale emergency; Optimal decision making; Research interests; Safety and efficiencies; Situation awareness; Team situation awareness; Human resource management
	Abstract	Large scale emergencies are usually responded to by a team of emergency managers or a number of sub teams for safety and efficiency. Team coordination has attracted considerable research interest, especially from the cognitive, human factors, and ergonomic aspects because shared situation awareness (SSA) and team situation awareness (TSA) of team members are critical for optimal decision making. This paper describes the development of an information system (SAVER) based on SSA and TSA oriented systems design. Validation and evaluation of the implemented design show that decision performance is improved by the SAVER system. Â© 2012 ISCRAM.
	Address	Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand; Joint Center of Disaster Research, Massey University, Wellington, New Zealand
	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	Early Warning and Expert Systems for Disaster Management	Expedition		Conference	9th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	135
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	Author	Yan Wang; John E. Taylor
	Title	Tracking urban resilience to disasters: a mobility network-based approach			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	97-109
	Keywords	Fisher information; human mobility; network analysis; Twitter; urban resilience
	Abstract	Disaster resilience is gaining increasing attention from both industry and academia, but difficulties in operationalizing the concept remain, especially in the urban context. Currently, there is scant literature on measuring both spatial and temporal aspects of resilience empirically. We propose a bio-inspired quantitative framework to track urban resilience to disasters. This framework was built upon a daily human mobility network, which was generated by geolocations from a Twitter Streaming API. System-wide metrics were computed over time (i.e. pre-, during and post-disasters). Fisher information was further adopted to detect the perturbation and dynamics in the system. Specifically, we applied the proposed approach in a flood case in the metropolis of São Paulo. The proposed approach is efficient in uncovering the dynamics in human movements and the underlying spatial structure. It adds to our understanding of the resilience process in urban disasters.
	Address	Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech; School of Civil and Environmental Engineering, Georgia Tech
	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	2003
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	Author	Yan Song; Yao Hu
	Title	Group decision-making method in the field of coal mine safety management based on AHP with clustering			Type	Conference Article
	Year	2009	Publication	ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives	Abbreviated Journal	ISCRAM 2009
	Volume		Issue		Pages
	Keywords	Analytic hierarchy process; Cluster analysis; Coal mines; Hierarchical systems; Information systems; Analytic hierarchy process (ahp); Coal mine safety; Group decision-making; Knowledge and experience; Safety management; Decision making
	Abstract	The complex and changeful system of coal mine increases the difficulty and importance of its decision-making. Individual decisions sometimes can not bring satisfactory outcomes since the decision need broad knowledge and experience which is not in single field but related to many domains of economics, sociology, logic, etc. To improve the validity and objectivity of decision-making, the group decision-making method is feasible and necessary since it can collect more intelligence to choose and judge together. This paper synthetically analyzes the content and characteristic of decision-making in the field of coal mine safety. A methodology for group decision-making using analytic hierarchy process (AHP) with cluster analysis is proposed accordingly. Then a case study using the method indicates that it is effective and helpful to improve the level of decision-making in the field of coal mine safety management in China.
	Address	School of Economics and Management, Harbin Engineering University, Harbin 150001, China
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Gothenburg	Editor	J. Landgren, S. Jul
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789163347153	Medium
	Track	Collaboration and Social Networking	Expedition		Conference	6th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	967
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	Author	Xiao LongDeng; Hui Zhang; Ya Qi Tang; Le Yi Ren
	Title	Risk Analysis of International Spreading in 2014 Ebola Outbreak to China Compared to Social Media			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	Airline Data; Ebola; Online Opinion Analysis; Risk analysis; social media
	Abstract	The 2014 West African EbolaOutbreak raisedfrom Sierra Leone, Guinea, and Liberia at December in 2013 has been reported to cause 21296 cases and 8429 deaths until now which became the deadliest recorded in history. In this paper, we proposed the riskanalysis to assess the international spread risk from mentioned three African countries to China by GEM(Global Epidemic Mobility) Model. As another part of analysis, we crawled related online social media data of Ebola from the most four favorite online social networks (including SINA, TENCENT) in China from June to November in 2014.By analyzing these attained social media data and airline data of GEM, we found some interesting results. For example, Beijing has the most importing risk of Ebola while it has the hottest discussion on social network.. Furthermore, we showed analysis of combining social network data with geographicaldemonstration and Chinese citizen sentiment towards this disaster.
	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	Planning, Foresight and Risk Analysis	Expedition		Conference	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	yes
	Call Number				Serial	1304
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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	Viktor Sköld Gustafsson; Tobias Andersson Granberg; Sofie Pilemalm; Martin Waldemarsson
	Title	Managing Natural Hazards in Sweden – Needs for Improved Information and Decision Support Systems			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	376-384
	Keywords	Emergency response; extreme weather events; command and control; needs analysis
	Abstract	This paper explores opportunities for information systems to support emergency response to multiple natural hazards. Interviews were conducted with 12 representatives from actors of the Swedish emergency response system about response to multiple natural hazards. Challenges and needs connected to five themes influencing the response effort were identified: Cooperation, Resource management, Command and control, Common operational picture, and Risk management. The results illuminate a lack of technology to support decisions and analyses during emergency response to both single and multiple natural hazards. Based on this, the paper suggests and discusses information systems and decision support tools to assist in satisfying the identified needs. The findings can inform policy makers in emergency response of where to concentrate the development of collaborative preparedness and response work, and the scientific community of future research directions.
	Address	Linköping University; University of Agder
	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	2425
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	Author	Victor A. Bañuls; Murray Turoff; Joaquin Lopez
	Title	Clustering scenarios using cross-impact analysis			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	Risk analysis; Risk assessment; Computational infrastructure; Cross-impact analysis; Emergency preparedness; Graphical representations; Interpretive structural modeling; Operational issues; Scenario generation; Scenarios; Information systems
	Abstract	Scenarios are frequently used in Emergency Planning and Preparedness. These scenarios are developed based on the hypothesis of occurrence or not of significant events. This is a complex process because of the interrelations between events. This fact, along with the uncertainty about the occurrence or non-occurrence of the events, makes the scenario generation process a challenging issue for emergency managers. In this work a new step-by-step model for clustering scenarios via cross-impact is proposed. The authors. proposal adds tools for detecting critical events and graphical representation to the previous scenario-generation methods based on Cross-Impact Analysis. Moreover, it allows working with large sets of events without using great computational infrastructures. These contributions are expected to be useful for supporting the analysis of critical events and risk assessment tasks in Emergency Planning and Preparedness. Operational issues and practical implications of the model are discussed by means of an example.
	Address	Pablo de Olavide University, Spain; New Jersey Institute of Technology, United States
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Seattle, WA	Editor	S. French, B. Tomaszewski, C. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN		Medium
	Track	Planning, Foresight and/or Risk Analysis	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	286
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	Author	Victor A. Bañuls; Cristina López-Vargas; Fernando Tejedor; Murray Turoff; Miguel Ramirez de la Huerga
	Title	Validating Cross-Impact Analysis in Project Risk Management			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	Scenarios; Cross-Impact Analysis (CIA); Interpretive Structural Modeling (ISM); Risk Events; Project Management
	Abstract	Companies work increasingly more on projects as a means of executing organizational decisions. However, too many enterprise projects result in failure. Hence, firms should follow a risk management method that drives their projects toward success. Nevertheless, project managers often deal with risks intuitively. This is partly because they lack the proper means to correctly manage the underlying risks which affect the entire cycle of their projects. Therefore, one purpose is to identify the critical events that managers may encounter before the beginning of the project and during its development. In addition, we propose CIA-ISM to represent existing relationships between the unforeseen events in the project?s lifetime and their key performance indicators. This also predicts the influence of risks on project performance over time by means of scenarios. The tool proposed would thus help practitioners to manage enterprise projects risks in a more effective and proactive way. We have validated the predictive capability of the CIA-ISM model with 22 real projects. The results show a high level of predictive capability in terms of risk analysis and key performance indicators.
	Address
	Corporate Author				Thesis
	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
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-608-7984-8	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	13th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1338
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	Author	Viavattene Christophe; Priest Sally; Owen Damon; Parker Dennis; Micou Paula; Ly Sophie
	Title	INDRA Model: For A Better Assessment of Coastal Events Disruptions			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	Risk Analysis; Resilience; Vulnerability; Business Continuity; Infrastructure
	Abstract	Natural hazards such as extreme coastal events can generate indirect impacts extending far beyond the exposed areas and the direct aftermath of the event. The recognition of such impacts in risk assessment is essential for preparing, mitigating against such events and for increasing the resilience of coastal communities. However the assessment is often limited to the direct impacts. This paper proposes new methodologies for assessing the indirect impacts of coastal storm events. Eight impacts are considered in the approach: household displacement, a financial recovery of households and businesses, business supply chain disruption, ecosystem recovery, risk to life, utility and transport disruptions. These methodologies are incorporated in the open-source INDRA model (INtegrated DisRuption Assessment) to compare and identify hotspots at a regional using a multi-criteria analysis.
	Address
	Corporate Author				Thesis
	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
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3417	ISBN	978-84-608-7984-38	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	1357
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	Author	Venkata Kishore Neppalli; Murilo Cerqueira Medeiros; Cornelia Caragea; Doina Caragea; Andrea Tapia; Shane Halse
	Title	Retweetability Analysis and Prediction during Hurricane Sandy			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	Twitter; Retweetability Analysis; Retweetability Prediction; Hurricane Sandy; Disaster Events
	Abstract	Twitter is a very important source for obtaining information, especially during events such as natural disasters. Users can spread information in Twitter either by crafting new posts, which are called ?tweets,? or by using retweet mechanism to re-post the previously created tweets. During natural disasters, identifying how likely a tweet is to be highly retweeted is very important since it can help promote the spread of good information in a network such as Twitter, as well as it can help stop the spread of misinformation, when corroborated with approaches that identify trustworthy information or misinformation, respectively. In this paper, we present an analysis on retweeted tweets to determine several aspects affecting retweetability. We then extract features from tweets? content and user account information and perform experiments to develop models that automatically predict the retweetability of a tweet in the context of the Hurricane Sandy.
	Address
	Corporate Author				Thesis
	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
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3388	ISBN	978-84-608-7984-9	Medium
	Track	Social Media Studies	Expedition		Conference	13th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1389
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	Author	Valeriy Klenov
	Title	The moving digital earth (MDE) for monitoring of forthcoming disasters			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	17-23
	Keywords	Information systems; Management information systems; Systems analysis; Debris-flows; Digital Earth; Earth systems; External systems; Hazardous process; High speed computing; River basins; Virtual systems; Disasters
	Abstract	Disasters in Earth Nature Systems (in river basins and in coastal zone) are generated the systems by influence under pressure and impacts of external systems. The water related disasters include the most of hazardous processes on land and sea as follows: floods, avalanches, droughts, landslides, debris-flows, erosion, abrasion, and others. The external systems are not yet able to let know about the Time, Place, and Power of future disasters all together. However, Earth systems allow doing it because of their property to delay on exterior power. The proposed and discussed is the Moving Digital Earth (MDE) technology for outstripping estimation of the Earth Nature Systems response on exterior pressure and impacts. The MDE uses only the knowledge of current System's state and methods of the Digital Systems Analysis (DSA) by high-speed computing.
	Address	Education Centre 654, Canada
	Corporate Author				Thesis
	Publisher	Royal Flemish Academy of Belgium	Place of Publication	Newark, NJ	Editor	B. Van de Walle, M. Turoff
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9090206019; 9789090206011	Medium
	Track	Position and Research in Progress Papers	Expedition		Conference	3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	656
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	Author	Valentin Bertsch; Otto Rentz; Jutta Geldermann.
	Title	Preference elicitation and sensitivity analysis in multi-criteria group decision support for nuclear remediation management			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	395-404
	Keywords	Decision support systems; Pollution; Sensitivity analysis; Uncertainty analysis; Group Decision Making; Multicriteria decision support; Preference elicitation; Preferential uncertainties; Stakeholder involvement; Decision making
	Abstract	The resolution of complex decision situations in crisis and remediation management following a man-made or natural emergency usually requires input from different disciplines and fields of expertise. Contributing to transparency and traceability of decisions and taking subjective preferences into account, multi-criteria decision analysis (MCDA) is suitable to involve various stakeholder and expert groups in the decision making process who may have diverse background knowledge and different views, responsibilities and interests. The focus of this paper is to highlight the role of MCDA in nuclear emergency and remediation management on the basis of a hypothetical case study. Special emphasis is placed on the modelling of the decision makers' preferences. The aim is to explore the sensitivity of decision processes to simultaneous variations of the subjective preference parameters and consequently to contribute to a facilitation of the preference modelling process by comprehensibly visualising and communicating the impact of the preferential uncertainties on the results of the decision analysis.
	Address	Institute for Industrial Production (IIP), University of Karlsruhe (TH), Germany; Department of Production and Logistics, University of Göttingen, Germany
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Delft	Editor	B. Van de Walle, P. Burghardt, K. Nieuwenhuis
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789054874171; 9789090218717	Medium
	Track	PEPA	Expedition		Conference	4th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	317
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	Author	Valentin Barriere; Guillaume Jacquet
	Title	How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing			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	766-771
	Keywords	Transformers, Contextual keywords, Humanitarian Computing, Tweets analysis
	Abstract	In a classification task, dealing with text snippets and metadata usually requires to deal with multimodal approaches. When those metadata are textual, it is tempting to use them intrinsically with a pre-trained transformer, in order to leverage the semantic information encoded inside the model. This paper describes how to improve a humanitarian classification task by adding the crisis event type to each tweet to be classified. Based on additional experiments of the model weights and behavior, it identifies how the proposed neural network approach is partially over-fitting the particularities of the Crisis Benchmark, to better highlight how the model is still undoubtedly learning to use and take advantage of the metadata's textual semantics.
	Address	European Commission's Joint Research Center; European Commission's Joint Research Center
	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	Social Media for Disaster Response and Resilience	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	valbarrierepro@gmail.com			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2371
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	Author	Uwe Krüger; Fabian Wucholt; Clemens Beckstein
	Title	Electronic checklist support for disaster response			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; Quality management; Assistance system; Disaster response; Disaster scenario; Human errors; Intelligent electronics; Mass casualty incidents; Requirements analysis; Simple approach; Disasters
	Abstract	Requirements analysis of IT-support for rescue management showed that electronic checklist support is a vital function of any IT-based assistance system. Although checklists are a simple approach, their successful implementation and use depends on many factors. We nevertheless believe that Intelligent Electronic Checklist Sup-port Systems (IECSS) are especially helpful for the (inter-) organizational cooperation in disaster scenarios like mass casualty incidents (MCIs). In this paper we describe why, when, and how electronic checklists can be used to coordinate the work of the geographically dispersed rescue forces. For this purpose we will have a look at safety-critical and complex tasks in aviation and medicine where checklists already are successfully used and try to profit from this experience for the MCI domain. Â© 2012 ISCRAM.
	Address	Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany; Intercultural Business Communication, Friedrich-Schiller-University, Jena, 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	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	144
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	Author	Ur?ka Demsar; Olga Patenková; Kirsi Virrantaus
	Title	Centrality measures and vulnerability of spatial networks			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	201-209
	Keywords	Damage detection; Electric network analysis; Risk assessment; Betweenness; Centrality measures; Critical location; Dual graphs; Effective management; Graph-theoretic; Spatial network; Street network; Graph theory
	Abstract	Effective management of infrastructural networks in the case of a crisis requires a prior analysis of the vulnerability of spatial networks and identification of critical locations where an interdiction would cause most damage and disruption. This paper presents a preliminary study into how a graph theoretic structural analysis could be used for this purpose. Centrality measures are combined with a dual graph modelling approach in order to identify critical locations in a spatial network. The results of a case study on a street network of a small area in the city of Helsinki indicate that 'betweenness' is the most promising centrality measure for this purpose. Other measures and properties of graphs are under consideration for eventually developing a risk model not only for one but for a group of co-located spatial networks.
	Address	National Centre for Geocomputation, National University of Ireland, Maynooth, Ireland; Helsinki University of Technology, Espoo, Finland
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Delft	Editor	B. Van de Walle, P. Burghardt, K. Nieuwenhuis
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789054874171; 9789090218717	Medium
	Track	GISC	Expedition		Conference	4th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	444
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	Author	Ulrich Meissen; Markus Hardt; Agnès Voisard
	Title	Towards a general system design for community-centered crisis and emergency warning systems			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	155-159
	Keywords	Disaster prevention; Information systems; Meteorological problems; Mobile devices; Systems analysis; Alerting; Community engagement; Early warning; Reference architecture; Situation awareness; Disasters
	Abstract	Early Warning Systems (EWS) provide an effective measure for better disaster preparedness, response, and mitigation. The effectiveness of EWS depends highly on the ability to distribute alert message to the persons that will be affected. In this context mobile devices play already a vital role in the ability to reach people in time and at the endangered location. Most existing approaches focus on mass dissemination methods via SMS and Cell-Broadcasting. As these approaches are effective to inform masses about a disaster with one message for all they have their weaknesses in telling the people how to respond according to their location and provide individual guidance (e.g. by maps) within specific communities. Research in disaster management gives strong evidence that the later is often crucial for better disaster response. Accordingly, we witness an increasing demand for more community-centered warnings systems solutions. This paper introduces the general foundations and architecture for alert services on mobile devices that adapt incoming alert information to the profile and situation of user groups and even individual users. The approach is scalable for different communitycentered warning systems. Its first applicability and community engagement effects are shown in the example of the community-centered public disaster alert system in Germany and a target group specific weather hazard alert system, KATWARN and WIND with currently over 2.5 million subscribed users, which was developed by the authors.
	Address	Fraunhofer FOKUS, Berlin, Germany; Freie Universität Berlin, Germany
	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	Community Engagement in Crisis Informatics Research	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	762
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	Author	Tom Ritchey
	Title	Modeling multi-hazard disaster reduction strategies with computer-Aided morphological analysis			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	339-346
	Keywords	Disaster prevention; Disasters; Information systems; Linguistics; Morphology; Risk assessment; Disaster reduction; Disaster reduction strategy; Engineering science; Knowledge and experience; Mitigation measures; Morphological analysis; Multidimensional problems; Proof of principles; Hazards
	Abstract	Disaster Risk Management (DRM) is a multi-dimensional problem complex requiring knowledge and experience from a wide range of disciplines. It also requires a methodology which can collate and organize this knowledge in an effective, transparent manner. Towards this end, seven specialists from the social, natural and engineering sciences collaborated in a facilitated workshop in order to develop a prototype multi-hazard disaster reduction model. The model, developed with computer-Aided morphological analysis (MA), makes it possible to identify and compare risk reduction strategies, and preparedness and mitigation measures, for different types of hazards. Due to time constraints, the model is neither complete nor accurate-but only represents a proof-of-principle. The workshop was sponsored by the Earthquake Disaster Mitigation Research Center (EDM) in Kobe, in January, 2005.
	Address	Swedish Defense Research Agency, Sweden
	Corporate Author				Thesis
	Publisher	Royal Flemish Academy of Belgium	Place of Publication	Newark, NJ	Editor	B. Van de Walle, M. Turoff
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9090206019; 9789090206011	Medium
	Track	VISUALIZATION IN EMERGENCY MANAGEMENT	Expedition		Conference	3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	879
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	Author	Tom Duffy; Chris Baber; Neville Stanton
	Title	Measuring collaborative sensemaking			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	561-565
	Keywords	Hardware; Social networking (online); Collaborative sensemaking; Consensus; Hierarchical control structure; Information diffusion; Intelligence analysis; International studies; Quantitative method; Shared understanding; Information systems
	Abstract	Problems of collaborative sensemaking are evident in major incident response where sharing salient information is key to the shared understanding of the situation. In this paper we propose that differences in sensemaking performance can be captured through quantitative methods derived from consideration of network structure and information diffusion as the group collaborates to achieve consensus in a problem-solving task. We present analysis from a large international study in which groups of people collaborate to solve an intelligence analysis problem. Our initial analysis suggests that 'edge' groups are able to collaborate more efficiently and perform better than those which have a hierarchical control structure.
	Address	University of Birmingham, United Kingdom; University of Southampton, United Kingdom
	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	Innovations in Research	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	460
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	Author	Tina Comes; Michael Hiete; Niek Wijngaards; Masja Kempen
	Title	Integrating scenario-based reasoning into multi-criteria decision analysis			Type	Conference Article
	Year	2009	Publication	ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives	Abbreviated Journal	ISCRAM 2009
	Volume		Issue		Pages
	Keywords	Decision support systems; Information systems; Chemical incidents; Crisis management; Decision supports; Environmental crisis; Multi-criteria decision analysis; Real-world scenario; Scenario-based; Uncertainties; Environmental management
	Abstract	Multi-criteria decision analysis (MCDA) is a technique for decision support which aims at providing transparent and coherent support for complex decision situations taking into account subjective preferences of the decision makers. However, MCDA does not foresee an analysis of multiple plausible future developments of a given situation. In contrast, scenario-based reasoning (SBR) is frequently used to assess future developments on the longer term. The ability to discuss multiple plausible future developments provides a rationale for strategic plans and actions. Nevertheless, SBR lacks an in-depth performance evaluation of the considered actions. This paper explores the integration of both techniques that combines their respective strengths as well as their application in environmental crisis management. The proposed methodology is illustrated by an environmental incident example. Future work is to conduct validations on the basis of real-world scenarios by public Dutch and Danish chemical incident crisis management authorities.
	Address	Institute for Industrial Production, Universität Karlsruhe (TH), Germany; Thales Research and Technology, D-CIS Lab, Netherlands
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Gothenburg	Editor	J. Landgren, S. Jul
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789163347153	Medium
	Track	Open Track	Expedition		Conference	6th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	407
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	Author	Tina Comes; Frank Schätter; Frank Schultmann
	Title	Building robust supply networks for effective and efficient disaster 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	230-240
	Keywords	Decision support systems; Disaster prevention; Disasters; Distribution of goods; Efficiency; Information systems; Optimization; Decision supports; Effectiveness; Humanitarian relief; Multi-criteria decision analysis; Optimisations; Supply networks; Emergency services
	Abstract	The effective and efficient distribution of relief goods is a key challenge in disaster management. Typically, adhoc supply networks (SNs) need to be built, in which various actors with different interests collaborate. Although information is sparse and highly uncertain, time for SN design is short, and important strategic decisions (e.g., location of facilities), whose revision requires investing substantial time, effort and resources, must be made promptly. This paper presents an iterative approach for the design of robust SNs that combines (i) an optimisation model to identify promising alternatives to be analysed in detail, (ii) a scenario-based approach to analyse the weaknesses of these alternatives and generate alternative solutions for comparison and benchmarking, and (iii) a decision support module for detailed comparisons and consensus building. By following the iterative approach, successively robust SNs are created to enable effective and efficient disaster response. We illustrate our approach by an example from the Haiti 2010 earthquake.
	Address	Institute for Industrial Production, KIT, Germany
	Corporate Author				Thesis
	Publisher	Karlsruher Institut fur Technologie	Place of Publication	KIT; Baden-Baden	Editor	T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9783923704804	Medium
	Track	Decision Support Systems	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	404
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