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Author | Alexandre Ahmad; Olivier Balet; Jesse Himmelstein; Arjen Boin; Maaike Schaap; Paolo Brivio; Fabio Ganovelli; Enrico Gobbetti; Giovanni Pintore; Jean-Baptiste De La Riviere | ||||
Title | Interactive simulation technology for crisis management and training: The INDIGO project | Type | Conference Article | ||
Year | 2012 | Publication | ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2012 |
Volume | Issue | Pages | |||
Keywords | Artificial intelligence; Augmented reality; Decision support systems; Image reconstruction; Information systems; Managers; Mobile devices; Personnel training; Common operational picture; Crisis management; Crisis simulations; Image-Based Rendering; Interactive simulations; Simulation software; Visualization systems and software; White board; Computer software | ||||
Abstract | To face the urgent need to train strategic and operational managers in dealing with complex crises, we are researching and developing an innovative decision support system to be used for crisis management and interactive crisis training. This paper provides an overview of current decision-support systems, simulation software and other technologies specifically designed to serve crisis managers. These findings inform the design of a new interactive simulation technology system, where a 3D Common Operational Picture (COP) is shared between tactile digital whiteboard in the command center and mobile devices in the field. © 2012 ISCRAM. | ||||
Address | DIGINEXT, France; CRISIS PLAN, France; ISTI, CNR, France; CRS4, Italy; IMMERSION, France | ||||
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 | Open Track | Expedition | Conference | 9th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 68 | |||
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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 | 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 | 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 | Basanta Chaulagain; Aman Shakya; Bhuwan Bhatt; Dip Kiran Pradhan Newar; Sanjeeb Prasad Panday; Rom Kant Pandey | ||||
Title | Casualty Information Extraction and Analysis from News | 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 | casualty, information extraction, news articles, casualty data visualization | ||||
Abstract | During unforeseen situations of crisis such as disasters and accidents we usually have to rely on local news reports for the latest updates on casualties. The information in such feeds is in unstructured text format, however, structured data is required for analysis and visualization. This paper presents a system for automatic extraction and visualization of casualty information from news articles. A prototype online system has been implemented and tested with local news feed of road accidents. The system extracts information regarding number of deaths, injuries, date, location, and vehicles involved using techniques like Named Entity Recognition, Semantic Role Labeling and Regular expressions. The entities were manually annotated and compared with the results obtained from the system. Initial results are promising with good accuracy overall. Moreover, the system maintains an online database of casualties and provides information visualization and filtering interfaces for analysis. | ||||
Address | Dept. of Electronics and Computer Engineering, Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal | ||||
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 | T10- Knowledge, Semantics and AI for RISK and CRISIS management | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1923 | |||
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Author | Benaben, F.; Fertier, A.; Cerabona, T.; Moradkhani, N.; Lauras, M.; Montreuil, B. | ||||
Title | Decision Support in uncertain contexts: Physics of Decision and Virtual Reality | Type | Conference Article | ||
Year | 2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
Volume | Issue | Pages | 54-66 | ||
Keywords | Data Visualization; Virtual Reality; Immersive Technology; Decision Support; Risk; Opportunities; Performance Management. | ||||
Abstract | Virtual Reality (VR) is often used for its ability to mimic reality. However, VR can also be used for its ability to escape reality. In that case, on the one hand VR provides a visualization environment where the user’s senses are still in a familiar context (one can see if something is in front, behind, up, down, far or close), yet on the other hand, VR allows to escape the usual limits of reality by providing a way to turn abstract concepts into concrete and interactive objects. In this paper, the dynamic management of a complex industrial system (a supply chain) is enabled in a VR prototypical environment, through the management of a physical trajectory that can be deflected by the impact of any potentialities such as risks or opportunities, seen as physical objects in the performance space. | ||||
Address | IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; Georgia Institute of Technology | ||||
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 | Visions for Future Crisis Management | Expedition | Conference | ||
Notes | http://dx.doi.org/10.59297/DENR9785 | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2506 | ||
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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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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 | Bruno S. N.; Adriana S. Vivacqua; Marcos R.S. Borges | ||||
Title | A Conceptual Architecture to handle the influx of information in Emergency Situations | 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 | Emergency; Heterogeneous Information Sources; Information Integration; Collaboration; Visualization Of Information; Dashboards. | ||||
Abstract | Emergency situations are characterized by their complexity and the heterogeneity of the available information. Emergency managers are frequently confronted with redundant or irrelevant information, causing the problem of information overload. Evidence of this problem was identified in an exploratory survey conducted in the Center for Integrated Command and Control of Rio de Janeiro (CICC-RJ). In this paper, we present a conceptual architecture that allows a user to handle this influx of information. From a set of available data, a manager can select those of interest, which can then be transformed and mapped into one or more views, and organized in a dashboard. The whole process is interactive, allowing the manager to redefine his/her dashboard as needed. In addition, we provide collaborative mechanisms, given that, at times, it is not possible for a single user to handle such large datasets alone. | ||||
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 | Command and Control Studies | Expedition | Conference | 13th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 1384 | |||
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Author | Aaron Burgman; Nikhil Kalghatgi; Erika Darling; Chris M. Newbern; Kristine Recktenwald; Shawn Chin; Howard Kong | ||||
Title | Emergency data analysis via semantic lensing | 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 | 334-338 | ||
Keywords | Information systems; Semantics; Analysis; Completion time; Decision makers; Emergency preparedness and response; Emergency situation; Filtering strategies; Information visualization; Mapping softwares; Emergency services | ||||
Abstract | Emergency situations often play out over extended geographic regions and can present response personnel with numerous types of data at various level of detail. Such data may be displayed in mapping software tools that organize the data into layers. Sufficiently complex scenarios can result in dense, occluded, and cluttered map displays. We investigated a localized, detail-on-demand filtering strategy called semantic lensing that in certain situations provides a more efficient and desirable approach than filtering global layers for mitigating clutter and occlusion. An initial formal user study with these semantic lenses has shown their value in aiding decision makers during tasks that might occur during detection of and response to emergency situations. Completion times are significantly faster when using lenses, and workloads are significantly lower. Future work will evaluate additional features and task-specific applicability, and may support the distribution of such a lens tool to emergency preparedness and response personnel. | ||||
Address | MITRE Corporation, United States | ||||
Corporate Author | Thesis | ||||
Publisher | Royal Flemish Academy of Belgium | Place of Publication | Newark, NJ | Editor | B. Van de Walle, M. Turoff |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9090206019; 9789090206011 | Medium | |
Track | VISUALIZATION IN EMERGENCY MANAGEMENT | Expedition | Conference | 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 352 | |||
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Author | Bruce D. Campbell; Konrad E. Schroder; Chris E. Weaver | ||||
Title | RimSim visualization : An interactive tool for post-event sense making of a first response effort | 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 | Flow visualization; Information systems; Personnel training; Query processing; Software agents; Visualization; Agent-based behavior; Emergency response; First responders; Interactive tool; Sense making; Simulation; University of Washington; Visualization tools; Emergency services | ||||
Abstract | Upon developing a software agent-based simulator for training roles in emergency response scenarios, the PARVAC team at the University of Washington has pursued building a tool for better investigative review and insight generation on the performance of an emergency response game session team. While our RimSim Response software included the opportunity to re-run a simulated team performance in order to review player and agent behavior, we did not provide our trainees the ability to visually query their performance outside of a sequential review of the emergency response effort. By integrating our RSR visualization components with an existing visual query software package called Improvise, we were able to construct highly-coordinated visualizations of our data model for the ability to apply a sense making approach in the investigation of live player and software agent-based behavior – both as individual players and as combinations of players working on tasks associated with an emergency response scenario. The resultant tool is now our primary visualization tool for discussing first responder team performance and supports the overall RSR objective of training teams to make the most effective, recognition-primed decisions when a real emergency crisis occurs in their community. This paper reviews our visualization tool and demonstrates its use. | ||||
Address | Pacific Rim Regional Visualization and Analytics Center, Univ. of Washington, United States; Center for Spatial Analysis, University of Oklahoma, 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 | Special Session: Assessing Crisis Management Operations and Exercises | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 363 | |||
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Author | Christelle Pierkot; Sidonie Christophe; Jean François Girres | ||||
Title | Exploring multiplexing tools for co-visualization in crisis units | 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 | geovisualization, multiplexing tools, crisis management. | ||||
Abstract | Natural hazards can generate damages in large inhabited areas in a very short time period. Crisis managers must plan interventions very quickly to facilitate the arrival of the first emergency. In a crisis unit, experts visualize heterogeneous visual representations of spatio-temporal information, in order to facilitate decision-making, based on various types of screens, i.e. laptops, tablets, or wall screens. Visualizing all this information at the same time on the same interface would lead to cognitive overload. In this paper, we assume that it could be of interest to provide innovative co-visualization models and tools, to bring hazard, geospatial and climate information together, in a shared interface. We propose to explore spatial and temporal multiplexing tools within a dedicated geovisualization environment, in order to help expert decision-making. The proposition is implemented with the case study of a tsunami event in the Caribbean sea. |
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Address | Univ. Paul-Valéry Montpellier 3, IRD, UMR GRED 220, F34000 Montpellier, France;Univ. Paris-Est, LASTIG GEOVIS, IGN, ENSG, F-94160 Saint-Mande, France | ||||
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 | T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1871 | |||
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Author | Christoph Lamers | ||||
Title | Electronic Visualization for Situational Awareness in Control Rooms | 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 | 1008-1011 | ||
Keywords | Situational Awareness; Situation Map; Command and Control; Visualization | ||||
Abstract | It is generally agreed in crisis management that a comprehensive visualization of the situation is crucial for an appropriate situational awareness of the staff personnel in control rooms. Therefore an expert group of fire officers in the German State North Rhine Westphalia developed a system for this purpose known as the “tactical wall”. The core of the system is a situation map of the relevant area with so-called tactical signs, i. e. defined graphic symbols for hazards, response units and tactical measures. Moreover, the assignment of response units to tactical sectors or staging areas as well as other relevant information such as the management organization is displayed at defined places within the wall. While the system was purely manual in its original version, a new digital version was recently developed. The user interfaces of this system are web-based and can by intuitively operated after a minor training effort. | ||||
Address | State Fire Service Institute North Rhine Westphalia | ||||
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 | Technologies for First Responders | Expedition | Conference | ||
Notes | Approved | no | |||
Call Number | ISCRAM @ idladmin @ | Serial | 2466 | ||
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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 | Jill L. Drury; Amanda Anganes; Heather Byrne; Maria C. Casipe; Roger Dejean; Simone Hill; Tristan Lewis; Jesse Lucas; Eric McCann | ||||
Title | Badge-primed decision making | 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; Decision support systems; Flow visualization; Information systems; Badges; Decision supports; Emergency responders; Emergency response; Icons; Option awareness; Primary contribution; Work-in-progress; Emergency services | ||||
Abstract | We have been investigating new decision support methods for emergency responders. Most recently, we have added to our decision support prototype the concept of “badges”: symbols that cue decision makers to the top-ranked option(s) that are the recommended alternatives for a particular decision. This paper provides the rationale for badges, a description of the initial implementation, results from our first experiment with badges, and a discussion of the next steps. As a report on work-in-progress, the primary contribution of this paper is the description of the concept of badges and its proposed use for emergency response decision making. © 2012 ISCRAM. | ||||
Address | University of Massachusetts Lowell, United States | ||||
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 | Track Decision Support Methods for Complex Crises | Expedition | Conference | 9th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 101 | |||
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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 | 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 | Jürgen Moßgraber; Désirée Hilbring; Hylke van der Schaaf; Philipp Hertweck; Efstratios Kontopoulos; Panagiotis Mitzias; Ioannis Kompatsiaris; Stefanos Vrochidis; Anastasios Karakostas | ||||
Title | The sensor to decision chain in crisis management | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 754-763 | ||
Keywords | Sensors, Internet of Things, Knowledge Base, Ontology Visualization, Decision Support, Early Warning | ||||
Abstract | In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. Decision Support Systems for disaster and crisis situations need to solve the problem of facilitating the broad variety of sensors available today. This includes the research domain of the Internet of Things and data coming from social media. All this data needs to be aggregated and fused, the semantics of the data needs to be understood and the results must be presented to the decision makers in an accessible way. Furthermore, the interaction and integration with risk and crisis management systems are necessary for a better analysis of the situation and faster reaction times. This paper provides an insight into the sensor to decision chain and proposes solutions and technologies for each step. | ||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Universal Design of ICT in Emergency Management | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2148 | |||
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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 | Dennis J. King | ||||
Title | VISTA-a visualization analysis tool for humanitarian situational awareness | 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 | 11-16 | ||
Keywords | Flow visualization; Information systems; Common operating pictures; Department of state; Humanitarian Situational Analysis; Situational awareness; Temporal analysis; Textual information; Visualization analysis; Web-based visualization; Visualization | ||||
Abstract | The US Department of State's Humanitarian Information Unit (HIU) is developing a new product and web-based visualization analysis tool, known as VISTA (Visualized Information & Synthesized Temporal Analysis). VISTA displays geo-spatial, temporal, numerical/graphic data and textual information, all in one product or via a web interface. VISTA is primarily intended for use by decision-makers, analysts, desk/project officers, and others to provide up-to-date common operating picture ie a vista about an emergency, issue or project. | ||||
Address | US Department of State, Humanitarian Information Unit, United States | ||||
Corporate Author | Thesis | ||||
Publisher | Royal Flemish Academy of Belgium | Place of Publication | Newark, NJ | Editor | B. Van de Walle, M. Turoff |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9090206019; 9789090206011 | Medium | |
Track | 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 | 652 | |||
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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 | 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 | 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 | 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 | 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 | |||