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	Author	Yikun Liu; Sung Pil Moon; Mark Pfaff; Jill L. Drury; Gary L. Klein
	Title	Collaborative option awareness for emergency response decision making			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	Decision making; Decision support systems; Information systems; Visualization; Collaboration; Collaborative decision making; Decision supports; Option awareness; Robust decision-making; Emergency services
	Abstract	We have been using exploratory modeling to forecast multiple plausible outcomes for a set of decision options situated in the emergency response domain. Results were displayed as a set of box-plots illustrating outcome frequencies distributed across an evaluative dimension (e.g., cost, score, or utility). Our previous research showed that such displays provide what we termed “option awareness” – an ability to determine robust options that will have good outcomes across the broadest number of plausible futures. This paper describes an investigation into extending this approach to collaborative decision making by providing a visualization of both collaborative and individual decision spaces. We believe that providing such visualizations will be particularly important when each individuals decision space does not account for the synergy that may emerge from collaboration. We describe how providing collaborative decision spaces improves the robustness of joint decisions and engenders high confidence in these decisions.
	Address	Indiana University, Indianapolis, United States; MITRE Corporation, Bedford, MA, United States; MITRE Corporation, McLean, VA, 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	Analytical Information Systems	Expedition		Conference	8th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	719
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	Author	Wolfgang Raskob; Florian Gering; Valentin Bertsch
	Title	Approaches to visualisation of uncertainties to decision makers in an operational decision support system			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	Artificial intelligence; Decision support systems; Information systems; Risk management; Visualization; Agricultural management; Decision making process; Operational decision support; Radiological emergency; Rodos; Uncertain informations; Uncertainties; Uncertainty handling; Decision making
	Abstract	Decision making in case of any emergency is associated with uncertainty of input data, model data and changing preferences in the decision making process. Uncertainty handling was from the beginning an integral part of the decision support system RODOS for the off-site emergency management following nuclear or radiological emergencies. What is missing so far is the visualisation of the uncertainties in the results of the model calculations. In this paper we present the first attempt to visualise uncertain information in the early and late phase of the decision making process. For the early phase, the area of sheltering was selected as example. For the later phase, the results of the evaluation subsystem of RODOS were selected being used for the analysis of remediation measures such as agricultural management options. Both attempts are still under discussion but the presentation of the early phase uncertainty will be realised in the next version.
	Address	Forschungszentrum Karlsruhe (FZK), Karlsruhe, Germany; Federal Office for Radiation Protection, Neuherberg, Germany; Karlsruhe Institute of Technology, Karlsruhe, Germany
	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	870
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	Author	Vitaveska Lanfranchi; Suvodeep Mazumdar; Fabio Ciravegna
	Title	Visual design recommendations for situation awareness in social media			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	792-801
	Keywords	Data visualization; Design; Information systems; Visualization; Design recommendations; Emergency responders; Online social medias; Real-time information; Situation awareness; Situational awareness; Social media; Visual analytics; Emergency services
	Abstract	The use of online Social Media is increasingly popular amongst emergency services to support Situational Awareness (i.e. accurate, complete and real-time information about an event). Whilst many software solutions have been developed to monitor and analyse Social Media, little attention has been paid on how to visually design for Situational Awareness for this large-scale data space. We describe an approach where levels of SA have been matched to corresponding visual design recommendations using participatory design techniques with Emergency Responders in the UK. We conclude by presenting visualisation prototypes developed to satisfy the design recommendations, and how they contribute to Emergency Responders' Situational Awareness in an example scenario. We end by highlighting research issues that emerged during the initial evaluation.
	Address	OAK Group, University of Sheffield, 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	Visual Analytics for Crisis Management	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	678
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	Author	Vimala Nunavath; Jaziar Radianti; Tina Comes; Andreas Prinz
	Title	Visualization of Information Flows and Exchanged Information: Evidence from an indoor fire game			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	Emergency Management; information flow; information tracking; Situational Awareness; visualization
	Abstract	Understanding information flows is essential to improve coordination information systems. Aims of such systems are typically reducing information overload and improving situational awareness. Yet, there is a lack of intuitive and easily understandable tools that help to structure and visualize the ad hoc information flows that occur during search and rescue operations. In this paper, we present the concept of such an analysis, and present findings from an indoor serious fire game. For this game, we describe the interactions of Emergency Responders (ER), including individual information (over-)load, and descriptions of content of communications. This approach therefore provides an effective way to learn about active teams, information flows, exchanged information, and overload.
	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	Human Centred Design and Evaluation	Expedition		Conference	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	yes
	Call Number				Serial	1221
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	Author	Sung Pil Moon; Yikun Liu; Steven O. Entezari; Afarin Pirzadeh; Andrew Pappas; Mark Pfaff
	Title	Top health trends: An information visualization tool for awareness of local health trends			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	177-187
	Keywords	Automation; Decision support systems; Information analysis; Public health; Social networking (online); Automated process; Decision aids; Health trends; Information visualization; Intelligent information; Natural disasters; Situation awareness; Visualization technique; Information systems
	Abstract	We developed an intelligent information visualization tool to enable public health officials to detect healthrelated trends in any geographic area of interest, based on Twitter data. Monitoring emergent events such as natural disasters, disease outbreaks, and terrorism is vital for protecting public health. Our goal is to support situation awareness (SA) for personnel responsible for early detection and response to public health threats. To achieve this goal, our application identifies the most frequently tweeted illnesses in a ranked chart and map for a selected geographic area. Automated processes mine and filter health-related tweets, visualize changes in rankings over time, and present other keywords frequently associated with each illness. User-centered visualization techniques of monitoring, inspecting, exploring, comparing and forecasting supports all the three stages of SA. An evaluation conducted with experts in health-related domains provided significant insights about awareness of localized health trends and their practical use in their daily work.
	Address	Indiana University, IN, United States; MESH Coalition, IN, 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	Critical Infrastructures	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	783
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	Author	Stijn Oomes
	Title	Organization awareness in crisis management: Dynamic organigrams for more effective disaster response			Type	Conference Article
	Year	2004	Publication	Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2004
	Volume		Issue		Pages	63-68
	Keywords	Disasters; Information systems; Crisis management; Disaster response; Real time visualization; Situation awareness; Structural damages; Support systems; Emergency services
	Abstract	Disaster response organizations are ad-hoc assemblies of multiple emergency services that collaborate with the goal to minimize the number of casualties and possible (infra)structural damage. In order to be effective, emergency personnel not only needs shared awareness of the situation but also awareness of the organization. We propose an organization awareness support system that contains a dynamic organigram that provides people with a real-time visualization of the organization that they belong to. Â© Proceedings ISCRAM 2004.
	Address	Delft Cooperation on Intelligent Systems (DECIS), Delftechpark 24, 2628 XH Delft, Netherlands
	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	9076971080	Medium
	Track	Poster Session	Expedition		Conference	1st International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	178
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	Author	Sterl, S.; Billig, A.; Taffo, F.W.; Gerhold, L.
	Title	Visualizing the Psychosocial Situation in Crises and Disasters: Conceptualizing a Multi-Functional Crisis Information Platform (CIP-PS)			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	252-262
	Keywords	Crisis Information Platform; Psychosocial Situation Picture; Data Integration And Visualization; Dashboard; Vulnerable Communities
	Abstract	Crises and disasters are becoming more frequent, long-lasting, complex, and interdependent. This can lead to negative psychosocial consequences in vulnerable population groups, increasing the need to (1) monitor psychosocial indicators and (2) make information on psychosocial topics available to decision-makers, the scientific community, and the public. In this WiPe paper, we present a way to systematically visualize, research, and document different types of psychosocial data in crises and disasters by developing a “Multi-Functional Crisis Information Platform for Psychosocial Situations”, called CIP-PS. The CIP-PS has three components, i.e., an information dashboard (CIP-DAB), a research platform (CIP-REP), and a documentation (CIP-DOC) component which together help visualize, research and document psychosocial topics, such as the psychosocial situation picture in Germany. The platform is a valuable tool for presenting relevant psychosocial information in the context of disaster public health. Its strength lies in an extensive connection between the three components related to healthcare informatics.
	Address	Technische Universitaet Braunschweig; Fraunhofer Institute for Open Communication Systems
	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	Disaster Public Health and Healthcare Informatics	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/RRNM2516			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2523
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	Author	Shubham Gupta; Craig A. Knoblock
	Title	Building geospatial mashups to visualize information for crisis management			Type	Conference Article
	Year	2010	Publication	ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings	Abbreviated Journal	ISCRAM 2010
	Volume		Issue		Pages
	Keywords	Data integration; Decision making; Disaster prevention; Information systems; Visualization; Crisis management; Data-sources; Disaster management; Effective solution; Geo-spatial; Integrated approach; Mash-up; Mashups; Data visualization
	Abstract	In time-sensitive environments such as disaster management, decision-making often requires rapidly gathering the information from diverse data sources and then visualizing the collected information to understand it. Thus, it is critical to reduce the overhead in data integration and visualization for efficient decision-making. Geospatial mashups can be an effective solution in such environments by providing an integrated approach to extract, integrate and view diverse information. Currently, mashup building tools exist for creating mashups, but none of them deal with the issue of data visualization. An improper visualization of the data could result in users wasting precious time to understand the data. In this paper, we introduce a programming-by-demonstration approach to data visualization in geospatial mashups that allows the users to customize the data visualization.
	Address	Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina del Rey, CA 90292, 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	Geo-Information Support	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	555
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	Author	Seungwon Yang; Haeyong Chung; Xiao Lin; Sunshin Lee; Liangzhe Chen; Andrew Wood; Andrea Kavanaugh; Steven D. Sheetz; Donald J. Shoemaker; Edward A. Fox
	Title	PhaseVis1: What, when, where, and who in visualizing the four phases of emergency management through the lens of 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	912-917
	Keywords	Civil defense; Classification (of information); Data visualization; Information systems; Risk management; 10-fold cross-validation; Classification algorithm; Classification evaluation; Emergency management; Potential utility; ThemeRiver; Through the lens; Twitter; Disasters
	Abstract	The Four Phase Model of Emergency Management has been widely used in developing emergency/disaster response plans. However, the model has received criticism contrasting the clear phase distinctions in the model with the complex and overlapping nature of phases indicated by empirical evidence. To investigate how phases actually occur, we designed PhaseVis based on visualization principles, and applied it to Hurricane Isaac tweet data. We trained three classification algorithms using the four phases as categories. The 10-fold cross-validation showed that Multi-class SVM performed the best in Precision (0.8) and Naïve Bayes Multinomial performed the best in F-1 score (0.782). The tweet volume in each category was visualized as a ThemeRiver[TM], which shows the 'What' aspect. Other aspects – 'When', 'Where', and 'Who' – Are also integrated. The classification evaluation and a sample use case indicate that PhaseVis has potential utility in disasters, aiding those investigating a large disaster tweet dataset.
	Address	Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, United States; Department of Accounting and Information Systems, Virginia Tech, Blacksburg, VA 24061, United States; Department of Sociology, Virginia Tech, Blacksburg, VA 24061, 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	1122
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	Author	Ryan K. Williams; Nicole Abaid; James McClure; Nathan Lau; Larkin Heintzman; Amanda Hashimoto; Tianzi Wang; Chinmaya Patnayak; Akshay Kumar
	Title	Collaborative Multi-Robot Multi-Human Teams in Search and Rescue			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	973-983
	Keywords	Search \& Rescue; Autonomy; Lost-Person Modeling; GIS; Visualization
	Abstract	Robots such as unmanned aerial vehicles (UAVs) deployed for search and rescue (SAR) can explore areas where human searchers cannot easily go and gather information on scales that can transform SAR strategy. Multi-UAV teams therefore have the potential to transform SAR by augmenting the capabilities of human teams and providing information that would otherwise be inaccessible. Our research aims to develop new theory and technologies for field deploying autonomous UAVs and managing multi-UAV teams working in concert with multi-human teams for SAR. Specifically, in this paper we summarize our work in progress towards these goals, including: (1) a multi-UAV search path planner that adapts to human behavior; (2) an in-field distributed computing prototype that supports multi-UAV computation and communication; (3) behavioral modeling that yields spatially localized predictions of lost person location; and (4) an interface between human searchers and UAVs that facilitates human-UAV interaction over a wide range of autonomy.
	Address	Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech
	Corporate Author				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		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-27-87	ISBN	2411-3473	Medium
	Track	Technologies for First Responders	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	rywilli1@vt.edu			Approved	no
	Call Number				Serial	2288
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	Author	Robert T. Brigantic; David S. Ebert; Courtney D. Corley; Ross Maciejewski; George A. Muller; Aimee E. Taylor
	Title	Development of a quick look pandemic influenza modeling and visualization tool			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	Decision making; Disasters; Information systems; Public health; Visualization; Community resources; Infectious disease; Interactive simulations; Mass casualty; Medical professionals; Mitigation strategy; Pandemic influenza; Visualization tools; Emergency services
	Abstract	Federal, State, and local decision makers and public health officials must prepare and exercise complex plans to contend with a variety of possible mass casualty events, such as pandemic influenza. Through the provision of quick look tools (QLTs) focused on mass casualty events, such planning can be done with higher accuracy and more realism through the combination of interactive simulation and visualization in these tools. If an event happens, the QLTs can then be employed to rapidly assess and execute alternative mitigation strategies, and thereby minimize casualties. This can be achieved by conducting numerous “what-if” assessments prior to any event in order to assess potential health impacts (e.g., number of sick individuals), required community resources (e.g., vaccinations and hospital beds), and optimal mitigative decision strategies (e.g., school closures) during the course of a pandemic. In this presentation, we overview and demonstrate a pandemic influenza QLT, discuss some of the modeling methods and construct and visual analytic components and interface, and outline additional development concepts. These include the incorporation of a user selectable infectious disease palette, simultaneous visualization of decision alternatives, additional resource elements associated with emergency response (e.g., first responders and medical professionals), and provisions for other potential disaster events.
	Address	Pacific Northwest National Laboratory, United States; Purdue University, United States
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Seattle, WA	Editor	S. French, B. Tomaszewski, C. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN		Medium
	Track	Safety and Security Education	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	345
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	Author	Ramsey, A.; Kale, A.; Kassa, Y.; Gandhi, R.; Ricks, B.
	Title	Toward Interactive Visualizations for Explaining Machine Learning Models			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	837-852
	Keywords	Explainable Ai; Data Visualization; Bridge Health; Decision Trees
	Abstract	Researchers and end users generally demand more trust and transparency from Machine learning (ML) models due to the complexity of their learned rule spaces. The field of eXplainable Artificial Intelligence (XAI) seeks to rectify this problem by developing methods of explaining ML models and the attributes used in making inferences. In the area of structural health monitoring of bridges, machine learning can offer insight into the relation between a bridge’s conditions and its environment over time. In this paper, we describe three visualization techniques that explain decision tree (DT) ML models that identify which features of a bridge make it more likely to receive repairs. Each of these visualizations enable interpretation, exploration, and clarification of complex DT models. We outline the development of these visualizations, along with their validity by experts in AI and in bridge design and engineering. This work has inherent benefits in the field of XAI as a direction for future research and as a tool for interactive visual explanation of ML models.
	Address	University of Nebraska at Omaha; University of Nebraska at Omaha; University of Nebraska at Omaha; University of Nebraska at Omaha
	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	Infrastructure Health Monitoring During Crises and Disaster	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/ENJI5258			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2570
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	Author	Oleg Aulov; Adam Price; Milton Halem
	Title	AsonMaps: A platform for aggregation visualization and analysis of disaster related human sensor network observations			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	802-806
	Keywords	Data visualization; Disaster prevention; Disasters; Information systems; Population statistics; Sensor networks; Visualization; Citizen science; Crowdsourcing; Disaster management; Human sensor networks; Situational awareness; Social media datum; Emergency services
	Abstract	In this paper, we describe AsonMaps, a platform for collection, aggregation, visualization and analysis of near real-time, geolocated quantifiable information from a variety of heterogeneous social media outlets in order to provide emergency responders and other coordinating federal agencies not only with the means of listening to the affected population, but also to be able to incorporate this data into geophysical and probabilistic disaster forecast models that guide their response actions. Hurricane Sandy disaster is examined as a use-case scenario discussing the different types of quantifiable information that can be extracted from Instagram and Twitter.
	Address	University of Maryland Baltimore County, 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	Visual Analytics for Crisis Management	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	280
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	Author	Olawunmi George; Rizwana Rizia; MD Fitrat Hossain; Nadiyah Johnson; Carla Echeveste; Jose Lizarraga Mazaba; Katinka Hooyer; Zeno Franco; Mark Flower; Praveen Madiraju; Lisa Rein
	Title	Visualizing Early Warning Signs of Behavioral Crisis in Military Veterans: Empowering Peer Decision Support			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	crisis, mental health, visualization, veterans, clinical decision
	Abstract	Several attempts have been made at creating mobile solutions for patients with mental disorders. A preemptive approach would definitely outdo a reactive one. This project seeks to ensure better crisis detection, by assigning patients (veterans) to caregivers (mentors). This is called the mentor-mentee approach. Enhanced with the use of mobile technology, veterans can stay connected in their daily lives to mentors, who have gone through the same traumatic experiences and have overcome them. A mobile application for communication between veterans and their mentors has been developed, which helps mentors get constant feedback from their mentees about their state of well-being. However, being able to make good deductions from the data given as feedback is of great importance. Under-represent ing or over-representing the data could be dangerously misleading. This paper presents the design process in this project and the key things to note when designing a data visualization for timely crisis detection and decision-making.
	Address	Marquette University;Medical College of Wisconsin;Dryhootch of America
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T11- Community Engagement & Healthcare Systems	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1948
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	Author	Ola Leifler; Johan Jenvald
	Title	Critique and visualization as decision support for mass-casualty emergency management			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	155-159
	Keywords	Civil defense; Decision support systems; Disasters; Expert systems; Information systems; Visualization; Critical constraints; Critique; Decision supports; Domain knowledge; Emergency management; Emergency situation; Planning problem; Visual cues; Risk management
	Abstract	Emergency management in highly dynamic situations consists of exploring options to solve a planning problem. This task can be supported through the use of visual cues that are based on domain knowledge of the current domain. We present an approach to use visualization of critical constraints in timelines and hierarchical views as decision support in mass-casualty emergency situations.
	Address	Department of Computer and Information Science, Linköpings Universitet, SE-581 83 Linköping, Sweden; VSL Research Labs, P.O. Box 15012, SE-580 15 Linköping, Sweden
	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	DECISION SUPPORT SYSTEMS	Expedition		Conference	2nd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	685
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	Author	Muhammad Imran; Shady Elbassuoni; Carlos Castillo; Fernando Díaz; Patrick Meier
	Title	Extracting information nuggets from disaster- Related messages 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	791-801
	Keywords	Artificial intelligence; Data visualization; Disasters; Information retrieval; Information systems; Learning systems; Social networking (online); Emergency responders; Extracting information; Machine learning methods; Situational awareness; Social media; Supervised classification; Twitter; Visualization system; Emergency services
	Abstract	Microblogging sites such as Twitter can play a vital role in spreading information during “natural” or man-made disasters. But the volume and velocity of tweets posted during crises today tend to be extremely high, making it hard for disaster-affected communities and professional emergency responders to process the information in a timely manner. Furthermore, posts tend to vary highly in terms of their subjects and usefulness; from messages that are entirely off-topic or personal in nature, to messages containing critical information that augments situational awareness. Finding actionable information can accelerate disaster response and alleviate both property and human losses. In this paper, we describe automatic methods for extracting information from microblog posts. Specifically, we focus on extracting valuable “information nuggets”, brief, self-contained information items relevant to disaster response. Our methods leverage machine learning methods for classifying posts and information extraction. Our results, validated over one large disaster-related dataset, reveal that a careful design can yield an effective system, paving the way for more sophisticated data analysis and visualization systems.
	Address	University of Trento, Italy; American Univ. of Beirut, Lebanon; QCRI, Qatar; Microsoft Research, Qatar
	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	613
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	Author	Michael Aupetit; Muhammad Imran
	Title	Interactive Monitoring of Critical Situational Information on Social Media			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	673-683
	Keywords	Social media; disaster management; information visualization
	Abstract	According to many existing studies, the data available on social media platforms such as Twitter at the onset of a crisis situation could be useful for disaster response and management. However, making sense of this huge data coming at high-rate is still a challenging task for crisis managers. In this work, we present an interactive social media monitoring tool that uses a supervised classification engine and natural language processing techniques to provide a detailed view of an on-going situation. The tool allows users to apply various filtering options using interactive timelines, critical entities, and other logical operators to get quick access to situational information. The evaluation of the tool conducted with crisis managers shows its significance for situational awareness and other crisis management related tasks.
	Address	Qatar Computing Research Institute, HBKU Doha, Qatar
	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	Social Media Studies	Expedition		Conference	14th International Conference on Information Systems for Crisis Response And Management
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2055
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	Author	Michael Ammann; Tuomas Peltonen; Juhani Lahtinen; Kaj Vesterbacka; Tuula Summanen; Markku Seppänen; Pilvi Siljamo; Annakaisa Sarkanen; Minna Rantamäki
	Title	KETALE Web application to improve collaborative emergency management			Type	Conference Article
	Year	2010	Publication	ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings	Abbreviated Journal	ISCRAM 2010
	Volume		Issue		Pages
	Keywords	Civil defense; Data visualization; Decision support systems; Disasters; Information management; Information systems; Risk management; Weather forecasting; Collaboration; Collaborative decisions; Design and implementations; Distributed modeling; Emergency management; Operational aspects; Requirement analysis; WEB application; World Wide Web
	Abstract	KETALE is a database and web application intended to improve the collaborative decision support of the Finnish Radiation and Nuclear Safety Authority (STUK) and of the Finnish Meteorological Institute (FMI). It integrates distributed modeling (weather forecasts and dispersion predictions by FMI, source term and dose assessments by STUK) and facilitates collaboration and sharing of information. It does so by providing functionalities for data acquisition, data management, data visualization, and data analysis. The report outlines the software development from requirement analysis to system design and implementation. Operational aspects and user experiences are presented in a separate report.
	Address	Radiation and Nuclear Safety Authority, Finland; Finnish Meteorological Institute, Finland
	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	Poster Session	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	264
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	Author	Menelaos Bakopoulos; Sofia Tsekeridou; Eri Giannaka; Zheng-Hua Tan; Ramjee Prasad
	Title	Command & control: Information merging, selective visualization and decision support for emergency handling			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	Biometrics; Decision support systems; Flow visualization; Information management; Information systems; Local area networks; Personal digital assistants; Visualization; Command posts; Crisis management; Decision supports; First responders; Information merging; Video annotations; Wearable sensors; Merging
	Abstract	Emergency situations call for the timely collaboration and error free communication of first responder (FR) teams from their Command Posts (CP) and between themselves. First responder teams must form and adapt their plans and actions as a real-time critical situation unfolds. This paper presents an advanced Command Post application that manages a diversity of FR teams during an emergency. Data from biometric, fire and/or gas sensors in addition to received annotated videos from first responders on site, carrying personal digital assistants (PDAs), are simultaneously managed. The presented system provides properly configured access to and alert-dependent visualization of real time location, biometric, gas, fire and annotated video data from FRs in the field to allow for effective reaction and decision support from CP personnel. Additionally, the system forms an information management system for all necessary information to be quickly handy during emergency handling, such as FR information, critical infrastructure information, historical information, etc. This system has been validated through qualitative analysis in a field trial at the M30 tunnel in Madrid by participating end users.
	Address	Athens Information Technology, Greece; Aalborg University, Denmark
	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	Command and Control Studies	Expedition		Conference	8th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	284
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	Author	Matthias Lendholt; Martin Hammitzsch; Peter Löwe
	Title	Harmonization of data formats for tsunami simulation products			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	365-369
	Keywords	Computer simulation; Electronic data interchange; Information systems; Interoperability; Cost-effective approach; Data format; Information visualization; Open Standards; Proprietary technologies; Spatial informations; Tsunami early-warning systems; Tsunami simulation; Tsunamis
	Abstract	The development of sustainable tsunami early warning systems (TEWS) requires the adoption of proven standards for components on all system levels. This is crucial to ensure the successful operation of the overall system in the long term. Currently, components, data formats and models used to build an individual TEWS come from independent development efforts, using non-standardized proprietary interfaces. Integrating these components into a TEWS requires additional work effort due to the proprietary technologies and formats. This article discusses alternative cost-effective approaches. The successful integration of the TEWS system components depends critically on the adoption and application of industry standards and good practices. From this perspective, this article examines the role of tsunami simulation models, and the challenge to integrate the data products generated from independent tsunami models for a TEWS. The significance of tsunami simulation products, consisting of data and metadata, for the overall early warning workflow is described, including data exchange (among multiple TEWS) and information visualization in combination with additional spatial information. As an outcome, the use of standardized data formats for simulation products is recommended for future work. This approach is demonstrated on a simulation of the March 2011 Tohoku-Oki mega thrust earthquake.
	Address	German Research Centre for Geosciences, 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	Emergency Management Information Systems	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	687
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	Author	Mark F. Taylor; Russell J. Graves
	Title	Adaptive risk-readiness decision support for infrastructure protection			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	161-169
	Keywords	Flow visualization; Information systems; Resource allocation; Risk assessment; Risk management; Visualization; Adaptive decision making; Collaboration; Decision support interfaces; Decision supports; Dynamic decision; Emergency management; Infrastructure protection; Readiness assessment; Decision support systems
	Abstract	This paper presents a system concept for integrating the mass of information critical to infrastructure protection operations. Our main focus and contribution lies in (1) coupling risk assessments into a dynamic decision support process, and (2) providing a collaboration and visualization decision support interface for representing complex and changing infrastructure protection information. The system concept supports adaptive decision making based upon dynamic risk and readiness assessments. Users benefit from having a more comprehensive and up-to-date risk picture on which to base their judgments.
	Address	MITRE Corporation, United States
	Corporate Author				Thesis
	Publisher	Royal Flemish Academy of Belgium	Place of Publication	Brussels	Editor	B. Van de Walle, B. Carle
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9076971099	Medium
	Track	DECISION SUPPORT SYSTEMS	Expedition		Conference	2nd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	998
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	Author	Marco Romano; Teresa Onorati; Paloma Díaz; Ignacio Aedo
	Title	Improving emergency response: Citizens performing actions			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	170-174
	Keywords	Mobile computing; Risk management; Advanced visualizations; Community engagement; Emergency management; Emergency response; Mobile applications; Operation center; Remote supervision; Situation awareness; Information systems
	Abstract	The role of common citizens within the emergency management (EM) process is crucial in order to support efficiently the operators' activities during the response phase. Moreover, their participation is strictly related to their profile and their experience in previous events. In a previous contribution we identified the different roles that the citizens can play for an effective cooperation with the EM workers. In this paper, we introduce an emergency tool based on a mobile application designed to support the activities of the citizens acting as Agent. The Agents have specific capabilities recognized by the EM Operation Center (OC) to execute actions under the remote supervision of the EM operators. The proposed tool allows the Agents to receive information from the OC and to visualize it through an advanced visualization modality. In particular, available information is previously collected by the center from the witnesses and the affected people that have alerted about it.
	Address	Universidad Carlos III de Madrid, Spain
	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	889
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	Author	Magnus Jändel; Sinna Lindquist; Linus Luotsinen
	Title	Social coverage maps			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	241-250
	Keywords	Flow visualization; Information systems; Urban planning; Visualization; Command and control; Crisis management; Emergency planning; Human behaviours; Radioactive contamination; Social simulations; Visual representations; Wireless services; Electronic warfare
	Abstract	This paper introduces Social Coverage Maps (SCM) as a visual representation of the societal impact of localized disruptions in urban areas. Incited by the recent deliberate interruption of wireless services for the purpose of crowd control in San Francisco, we focus on the use of SCMs for representing emergent effects of electronic warfare. As a prequel we discuss maps and other visualizations as representations of human behaviour and relations. The SCM concept is defined and grounded in simulation-based parameters. Using an experimental scenario based on cell phone jamming in a city we show how SCMs are generated using an agent-based population simulator. We find that Social Coverage Maps could become a useful tool for analysing emergent effects of actions and events including electronic warfare, roadblocks, smoke, teargas, chemical and radioactive contamination with applications in operational and emergency planning as well as crisis management.
	Address	Swedish Defence Research Agency, Sweden
	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	618
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	Author	Linn Marks Collins; James E. Powell Jr.; Carolyn E Dunford; Ketan K. Mane; Mark L.B. Martinez
	Title	Emergency information Synthesis and awareness using E-SOS			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	618-623
	Keywords	Human computer interaction; Information management; Information science; Information systems; Web services; Websites; Awareness tool; Cognitive overload; Emergency Response Information Systems; Information synthesis; Information visualization; User centered designs; Systems engineering
	Abstract	In an emergency, people need to be able to report and find relevant information quickly. Fulfilling these information needs is the design goal of E-SOS: Emergency Situation Overview and Synthesis, a research project in progress. E-SOS will consist of (1) a website where users can report information, (2) web services that find and synthesize related information from multiple sources, and (3) interface tools that visualize and display links to this information. In this paper we describe three of these services and tools: the topic, geographic, and information space awareness tools. When a user writes a report, the topic awareness tool will execute a federated search and display links to related information. The information space awareness tool will highlight these links in a visualization of the information space. If the user refers to a location, the geographic awareness tool will focus a map on this location and display topic-related icons.
	Address	Los Alamos National Laboratory Research Library, Knowledge Systems and Human-Computer Interaction Team, Los Alamos, NM 87545-1362, 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	HCI for Emergencies	Expedition		Conference	5th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	403
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	Author	Lindsley G. Boiney; Bradley Goodman; Robert Gaimari; Jeffrey Zarrella; Christopher Berube; Janet Hitzeman
	Title	Taming multiple chat room collaboration: Real-time visual cues to social networks and emerging threads			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	660-668
	Keywords	Decision making; Flow visualization; Information systems; Social networking (online); Chat; Collaboration; Collaboration environments; Exchange of information; Information exchanges; Real time decision-making; Real-time information sharing; Situational awareness; Internet
	Abstract	Distributed teams increasingly rely on collaboration environments, typically including chat, to link diverse experts for real time information sharing and decision-making. Current chat-based technologies enable easy exchange of information, but don't focus on managing those information exchanges. Important cues that guide face-to-face collaboration are either lost or missing. In some military environments, operators may juggle over a dozen chat rooms in order to collaborate on complex missions. This often leads to confusion, overload, miscommunication and delayed decisions. Our technology supports chat management. A summary display bar reduces the number of chat rooms operators need open by providing high level situational awareness pointers, in real-time, to: a) rooms with increasing message activity levels, b) rooms in which important collaborators are participating (those in the operator's social network), and c) rooms in which operator-selected keywords are used. This ability to peripherally monitor less critical chat rooms reduces operator overload, while enhancing the ability to rapidly detect important emerging discussion threads. © 2008 The MITRE Corporation. All rights reserved.
	Address	MITRE Corp, 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	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	335
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