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Author | Paul S. Earle; David J. Wald | ||||
Title | Rapid post-earthquake information and assessment tools from the U.S. geological survey national earthquake information center | 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 | 402-408 | ||
Keywords | Geological surveys; Information systems; Rss; Assessment tool; Earthquake location; Earthquake magnitudes; Impact assessments; Information products; Number of peoples; Situational awareness; U.s. geological surveys; Earthquakes | ||||
Abstract | A suite of post-earthquake information products and assessment tools are produced and distributed by the U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC). These products range from the rapid determination of earthquake magnitude and location to tools that provide situational awareness following earthquake catastrophes. The NEIC distributes earthquake location, magnitude, and supporting information through many sources including, text message, pager, and the Internet (e-mail, web-pages and RSS feeds). To aid in the rapid determination of an earthquake's impact, the NEIC has developed tools to 1) map the observed shaking intensity reported from the region affected by the earthquake (Community Internet Intensity Maps), and 2) quantify the number of people exposed to severe shaking (Prompt Assessment of Global Earthquakes for Response). | ||||
Address | US Geological Survey, 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 | REAL-TIME ALERTS FOR EARTHQUAKES AND TSUNAMI | Expedition | Conference | 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 466 | |||
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Author | Robin E. Mays; Mark Zachry; Murat, A.; Mark P. Haselkorn | ||||
Title | Aligning border security workflow and decision making with supporting information and communication systems | 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 | Cognitive systems; Communication; Computers; Decision making; Information services; Information systems; Service oriented architecture (SOA); Adaptive development; C2; C2 systems; C3; C4; Cognitive schemas; Collaborative decision making; Command and control; Common operating environments; Information environment; Situational awareness; System development; Command and control systems | ||||
Abstract | As part of the National Center for Border Security and Immigration (NCBSI) led by the University of Texas at El Paso (UTEP), researchers from the University of Washington, Wayne State University, and UTEP conducted a three-site study of border security operations and the role of command, control and communication (C3) systems in support of those operations. While inevitably bringing some positive capability to the environment, if C3 systems are not consciously aligned with desired practices and decision-making, the implications will not always be for the better. This is especially true of C3 systems in the border security environment because these systems are intimately intertwined with complex and critical workflow and decision-making processes, often in the context of complex and, at times, competing missions. | ||||
Address | University of Washington, United States; Wayne State University, United States | ||||
Corporate Author | Thesis | ||||
Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Lisbon | Editor | M.A. Santos, L. Sousa, E. Portela |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9789724922478 | Medium | |
Track | Command and Control Studies | Expedition | Conference | 8th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 752 | |||
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Author | Babajide Osatuyi; Michael J. Chumer | ||||
Title | An empirical investigation of alert notifications: A temporal analysis approach | 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 | Social networking (online); Time series analysis; Alert notification; Emergency responders; Empirical investigation; Information and Communication Technologies; Intelligence gathering; Situational awareness; Social Network Sites; Temporal analysis; Information systems | ||||
Abstract | As the deployment of situational awareness mechanisms such as geothermal sensors, use of social network sites, and information and communication technologies (e.g., cell phones) become increasingly widespread to emergency responders, the problem of alert analysis has become very important. Broadcast of large amounts of alerts sent back to command centers for processing may impair the ability of analysts to connect dots that may otherwise adequately enable them to make informed decisions in a timely fashion. This paper investigates trends and patterns embedded in alert notifications generated over a given period of time in order to uncover correlations that may exist in the data. Data for this study are obtained from the National Center for Crisis and Continuity Coordination (NC4). We employ classical time series analysis to understand, explain and predict trends and patterns in the data. This work presents results obtained thus far in the quest for the effect of passage of time on alert patterns. Implications of this work in practice and research are discussed. | ||||
Address | New Jersey Institute of Technology, United States | ||||
Corporate Author | Thesis | ||||
Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Seattle, WA | Editor | S. French, B. Tomaszewski, C. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | Medium | ||
Track | Open Track | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 817 | |||
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Author | Ly Dinh; Sumeet Kulkarni; Pingjing Yang; Jana Diesner | ||||
Title | Reliability of Methods for Extracting Collaboration Networks from Crisis-related Situational Reports and Tweets | Type | Conference Article | ||
Year | 2023 | Publication | Proceedings of the ISCRAM Asia Pacific Conference 2022 | Abbreviated Journal | Proc. ISCRAM AP 2022 |
Volume | Issue | Pages | 181-195 | ||
Keywords | Collaboration Networks; Natural Language Processing; Interorganizational Collaboration; Situational Awareness | ||||
Abstract | Assessing the effectiveness of crisis response is key to improving preparedness and adapting policies. One method for response evaluation is reviewing actual response activities and interactions. Response reports are often available in the form of natural language text data. Analyzing a large number of such reports requires automated or semi automated solutions. To improve the trustworthiness of methods for this purpose, we empirically validate the reliability of three relation extraction methods that we used to construct interorganizational collaboration networks by comparing them against human-annotated ground truth (crisis-specific situational reports and tweets). For entity extraction, we find that using a combination of two off-the-shelf methods (FlairNLP and SpaCy) is optimal for situational reports data and one method (SpaCy) for tweets data. For relation extraction, we find that a heuristics-based model that we built by leveraging word co-occurrence and deep and shallow syntax as features and training it on domain-specific text data outperforms two state-of-the-art relation extraction models (Stanford OpenIE and OneIE) that were pre-trained on general domain data. We also find that situational reports, on average, contain less entities and relations than tweets, but the extracted networks are more closely related to collaboration activities mentioned in the ground truth. As it is widely known that general domain tools might need adjustment to perform accurately in specific domains, we did not expect the tested off-the-shelf tools to perform highly accurately. Our point is to rather identify what accuracy one could reasonably expect when leveraging available resources as-is for domain specific work (in this case, crisis informatics), what errors (in terms of false positives and false negatives) to expect, and how to account for that. | ||||
Address | University of South Florida; University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign | ||||
Corporate Author | Thesis | ||||
Publisher | Massey Unversity | Place of Publication | Palmerston North, New Zealand | Editor | Thomas J. Huggins, V.L. |
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-473-66845-7 | Medium | |
Track | Social Media for Disaster Response | Expedition | Conference | ||
Notes | Approved | no | |||
Call Number | ISCRAM @ idladmin @ | Serial | 2492 | ||
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Author | Simon Tucker; Vitaveska Lanfranchi; Neil Ireson; Alfonso Sosa; Gregoire Burel; Fabio Ciravegna | ||||
Title | Straight to the information I need: Assessing collational interfaces for emergency response | Type | Conference Article | ||
Year | 2012 | Publication | ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2012 |
Volume | Issue | Pages | |||
Keywords | Information systems; Emergency response; Information overloads; Paper-based interfaces; Situational awareness; Social media; User study; Emergency services | ||||
Abstract | Collational interfaces gather information from a range of sources and present them to users. Information overload is tackled by processing information in the back-end and providing interactive means to filter and browse data. Such interfaces have applications in emergency response – giving users the right information to act effectively. In this paper we explore a collational interface for emergency response, carrying out a user study that compares it to a paper based interface and one which presents data without collating it. We demonstrate that a collational interface allows users to build a picture of an emergency, but not necessarily in less time. © 2012 ISCRAM. | ||||
Address | Department of Computer Science, University of Sheffield, United Kingdom; Knowledge Media Institute, Open University, United Kingdom | ||||
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 | Social Media and Collaborative Systems | Expedition | Conference | 9th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 221 | |||
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Author | Tomasz Opach; Jan Ketil Rød; Bjørn Erik Munkvold; Jaziar Radianti; Kristine Steen-Tveit; Lars Ole Grottenberg | ||||
Title | Map-based Interfaces for Common Operational Picture | 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 | 506-516 | ||
Keywords | Common Operational Picture, Situational Awareness, Map-based Interface, Cartographic Design, Cartographic Symbolization. | ||||
Abstract | Common operational picture (COP) map-based interfaces display operational information to support integration of emergency responders. Such interfaces integrate different subsystems and present the resulting information into an overview for enabling situation awareness. Literature shows that they are often developed from non-user-centric perspectives and are defined in technological terms that are not adequately capturing the users' needs. Therefore, the aim of this particular work in progress is to get insight into the features and the role of COP map-based interfaces currently being used in Norway to (1) examine their content, functionality, and design; and (2) to understand how such displays are incorporated into the service context. This study structures the knowledge on map displays that constitute part of the COP services. Using workshop and interviews with the developers and users of existing COP map services, we identify requirements for a common operational symbology and common operational functionality to improve such map services and make them interoperable. | ||||
Address | Norwegian University of Science and Technology / Linköping University; Norwegian University of Science and Technology; University of Agder; University of Agder; University of Agder; University of Stavanger | ||||
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 | 978-1-949373-27-48 | ISBN | 2411-3434 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
Notes | tomasz.opach@ntnu.no | Approved | no | ||
Call Number | Serial | 2249 | |||
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Author | Alena L. Benson; Keith Biggers; Jim Wall; Mark P. Haselkorn | ||||
Title | Adaptive development of a common operating environment for crisis response and 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 | Information services; Information systems; Interoperability; Network security; Service oriented architecture (SOA); Collaborative decision making; Common operating environments; Information environment; Situational awareness; System development; Response time (computer systems) | ||||
Abstract | Complex information and communication systems present a special challenge to system designers because these are generally deployed as large, distributed systems with diverse user groups. Crisis response and management organizations in particular expect systems to be interoperable, resilient, flexible and provide lasting benefit. Currently, systems such as Virtual USA (Department of Homeland Security) and WatchKeeper (United States Coast Guard) seek to create common situational awareness for all participating agencies in security and incident response operations. We propose adaptive development as a system development model to build upon the ideas of systems such as Virtual USA and WatchKeeper in order to create sustainable and adaptable systems. Adaptive development supports ongoing improvement through user-driven design and modification in the target environment. An internet-based dashboard demonstrated during a United States Coast Guard Sector Seattle incident response exercise serves as an emergent case study for the adaptive model. | ||||
Address | University of Washington, United States; Texas AandM 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 | Special Session: Puget Sound Regional Initiatives towards a Common Operating Environment | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 305 | |||
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Author | Laura Petersen; Laure Fallou; Grigore Havarneanu; Paul Reilly; Elisa Serafinelli; Rémy Bossu | ||||
Title | November 2015 Paris Terrorist Attacks and Social Media Use: Preliminary Findings from Authorities, Critical Infrastructure Operators and Journalists | 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 | 629-638 | ||
Keywords | Social media, crisis communication, situational awareness, Paris terrorist attacks, terrorism. | ||||
Abstract | Crisis communication is a key component of an effective emergency response. Social media has evolved as a prominent crisis communication tool. This paper reports how social media was used by authorities, critical infrastructure operators and journalists during the terrorist attacks that hit Paris on 13th November 2015. A qualitative study was conducted between January and February 2017 employing semi-structured interviews with seven relevant stakeholders involved in this communication process. The preliminary critical thematic analysis revealed four main themes which are reported in the results section: (1) social media is used in crisis times; (2) authorities gained situational awareness via social media; (3) citizens used social media to help one another; and (4) communication procedures changed after these critical events. In conclusion, authorities, citizens and journalists all turned to social media during the attack, both for crisis communication and for increasing situational awareness. | ||||
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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 | Social Media Studies | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2137 | |||
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Author | Anthony C. Robinson; Alexander Savelyev; Scott Pezanowski; Alan M. MacEachren | ||||
Title | Understanding the utility of geospatial information in social media | Type | Conference Article | ||
Year | 2013 | Publication | ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2013 |
Volume | Issue | Pages | 918-922 | ||
Keywords | Information systems; Job analysis; Visualization; Evaluation; Geo-spatial informations; Geographic information; Geovisual analytics; Situational awareness; Social media; Visual analytics; Visual analytics systems; Information science | ||||
Abstract | Crisis situations generate tens of millions of social media reports, many of which contain references to geographic features and locations. Contemporary systems are now capable of mining and visualizing these location references in social media reports, but we have yet to develop a deep understanding of what end-users will expect to do with this information when attempting to achieve situational awareness. To explore this problem, we have conducted a utility and usability analysis of SensePlace2, a geovisual analytics tool designed to explore geospatial information found in Tweets. Eight users completed a task analysis and survey study using SensePlace2. Our findings reveal user expectations and key paths for solving usability and utility issues to inform the design of future visual analytics systems that incorporate geographic information from social media. | ||||
Address | Department of Geography, GeoVISTA Center, Penn State University, United States | ||||
Corporate Author | Thesis | ||||
Publisher | Karlsruher Institut fur Technologie | Place of Publication | KIT; Baden-Baden | Editor | T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9783923704804 | Medium | |
Track | Social Media | Expedition | Conference | 10th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 883 | |||
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Author | Sandra König; Stefan Schauer | ||||
Title | Cascading Threats in Critical Infrastructures with Control Systems | 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 | Cascading failures, industrial control systems, critical infrastructures, hybrid situational awareness | ||||
Abstract | Critical infrastructures (CIs) increase in complexity due to numerous dependencies on other CIs but also due to the ongoing digitalization in the industry sector. This yields an increased risk of failure of a single CI as the overall systems gets very fragile and sensitive to errors Failure of a single component may affect large parts of an infrastructure due to cascading effects. One way to support functionality of a CI is the use of Industrial Control Systems (ICS) that allow monitoring remote sites and controlling processes. However, this is an additional source for threats as recent cyber-attacks have shown. Further, the additional information for such cyber systems is often not efficiently combined with existing information on the physical infrastructure. We here propose a method to combine these two sources of information in order to estimate the impact of a security incident on CIs, taking into account cascading effects of threats. An implementation of the model allows simulation of the dynamics inside a CI and yields a record of the status of each asset of the CI. The way the assets change their states illustrates the consequences of an incident on the entire CI. Visualization of the results provides an overview on the situation of the entire CI at a certain point of time and a sequence of such visualization over an entire period of time illustrates the changes over time. The results from this analysis may be used to support security officers in analyzing the current (hybrid) state of their CI in case of an incident and thus increase the hybrid situational awareness. | ||||
Address | Austrian Institute of Technology, Austria | ||||
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 | T14 - Protecting Critical Infrastructures in Crisis Situations | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1932 | |||
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Author | Tiina Ristmae; Dimitra Dionysiou; Miltiadis Koutsokeras; Athanasios Douklias; Eleftherios Ouzounoglou; Angelos Amditis; Anaxagoras Fotopoulos; George Diles; Pantelis Linardatos; Konstantinos Smanis; Pantelis Lappas; Marios Moutzouris; Manolis Tsogas; Dani | ||||
Title | The CURSOR Search and Rescue (SaR) Kit: an innovative solution for improving the efficiency of Urban SaR Operations | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 867-880 | ||
Keywords | Urban Search and Rescue, Victim detection, Rescue robotics, Sensors, Situational awareness | ||||
Abstract | CURSOR (Coordinated Use of miniaturized Robotic equipment and advanced Sensors for search and rescue OpeRations) is an ongoing European H2020 project with the main objective to enhance the efficiency and safety of Urban Search and Rescue (USaR) operations on disaster sites. CURSOR's approach relies on the integration of multiple mature and emerging technologies offering complementary capabilities to an USaR system, so as to address several challenges and capability gaps currently encountered during first responder missions. The project's research and development are structured around an earthquake master scenario. CURSOR aspires to advance the state-of the-art in several key aspects, including reduced time for victim detection, increased victim localization accuracy, enhanced real-time worksite information management, improved situational awareness and rescue team safety. | ||||
Address | Federal Agency for Technical Relief (THW) – Headquarters Staff Unit Research & Innovation Management; Institute of Communication and Computer Systems – National Technical University of Athens; Institute of Communication and Computer Systems – National Tec | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Technologies for First Responders | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | Tiina.Ristmaee@thw.de | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2379 | ||
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Author | Geoffrey Hoare; Mary Beth Russell; Aaron Kite-Powell; Rick France | ||||
Title | Developing H1N1 hospital surge dashboard indicators: A demonstration | 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 | Health care; Information systems; Public health; Esf-8; Florida; H1n1; Medical emergency; Situational awareness; Surge; Hospitals | ||||
Abstract | Developing key state-wide indicators of Florida's health care system's public health capacity during the H1N1 Pandemic has been challenging. This demonstration outlines work to develop a key indicator of patient surge caused by the H1N1 outbreak. Further work to calibrate this measure and relate it to surge in other health care organizations is outlined. | ||||
Address | Florida Department of Health, United States | ||||
Corporate Author | Thesis | ||||
Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Seattle, WA | Editor | S. French, B. Tomaszewski, C. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | Medium | ||
Track | Planning, Foresight and/or Risk Analysis | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 585 | |||
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Author | Kristine Steen-Tveit; Jaziar Radianti | ||||
Title | Analysis of Common Operational Picture and Situational Awareness during Multiple Emergency Response Scenarios | 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 | Full-scale drill, elicitation methods, situational awareness, common operational picture, information needs. | ||||
Abstract | Disaster response operations require communication and coordination between agencies that seldom occurs in everyday workday situations. Furthermore, in such hybrid environments it is necessary to establish a common operational picture for the responders involved to support collaborative decision-making. The emergency responders must gain situational awareness, and this can further affect the quality of how they deal with the situation. Training in emergency situations is shown to be efficient for learning. In order to understand the complexity of working in unpredictable environments, an analysis of an audio-log from a large-scale drill was carried out. Moreover, this paper provides a definition of several categories for identifying the processes to establish situational awareness and a common operational picture among emergency responders. The analysis process revealed how the actors communicate and revealed an overall communication pattern. | ||||
Address | University of Agder, Norway, Norway | ||||
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 | T2- Command and control studies | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1931 | |||
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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 | Nathan Elrod; Pranav Mahajan; Monica Katragadda; Shane Halse; Jess Kropczynski | ||||
Title | An Exploration of Methods Using Social Media to Examine Local Attitudes Towards Mask-Wearing During a Pandemic | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 345-358 | ||
Keywords | Social media analytics, situational awareness, sentiment analysis, n-grams, social network analysis | ||||
Abstract | During the COVID-19 health crisis, local public offcials expend considerable energy encouraging citizens to comply with prevention measures in order to reduce the spread of infection. During the pandemic, mask-wearing has been accepted among health offcials as a simple preventative measure; however, some local areas have been more likely to comply than others. This paper explores methods to better understand local attitudes towards mask-wearing as a tool for public health offcials' situational awareness when preparing public messaging campaigns. This exploration compares three methods to explore local attitudes: sentiment analysis, n-grams, and hashtags. We also explore hashtag co-occurrence networks as a starting point to begin the filtering process. The results show that while sentiment analysis is quick and easy to employ, the results oer little insight into specific local attitudes towards mask-wearing, while examining hashtags and hashtag co-occurrence networks may be used a tool for a more robust understanding of local areas when attempting to gain situational awareness. | ||||
Address | University of Cincinnati; University of Cincinnati; University of Cincinnati; University of Cincinnati; University of Cincinnati | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Disaster Public Health & Healthcare Informatics in the Pandemic | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | elrodnj@ucmail.uc.edu | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2338 | ||
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Author | Holzhüter, M.; Huhle, G.; Reuter-Oppermann, M.; Hellriegel, J.; Klafft, M. | ||||
Title | Acceptance study on application systems to improve situational incident management through bi-directional communication between citizens and decision-makers in emergencies and crises situations | Type | Conference Article | ||
Year | 2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
Volume | Issue | Pages | 197-207 | ||
Keywords | Emergency Control Centre; Situational Awareness; Acceptance of ICT; Population; Crowdsourcing; Video Support; Bidirectional Communication | ||||
Abstract | Efficient hazard prevention and disaster control depend on situational awareness. Situational information is – among others – provided by citizens on the ground. Disaster managers are often reluctant to use such information on a large scale or in a systematic way for fear of being overwhelmed by information overload in a stressful crisis. New information technologies for crisis management are strongly dependent on the acceptance of the people using them and can only be successful as socio-technical systems. Therefore, 354 employees of public and private emergency operation centres as well as members of crisis management teams were asked to assess different information sharing technologies. 504 people from the public responded to an online survey about their willingness to use such technologies. The results indicate a high level of acceptance by both user groups for bi directional communication technologies for situation management and the improvement of situational awareness. | ||||
Address | Fraunhofer FOKUS; COREVAS GmbH & CO.KG; Technische Universität Darmstadt; Fraunhofer FOKUS; Fraunhofer FOKUS | ||||
Corporate Author | Thesis | ||||
Publisher | University of Nebraska at Omaha | Place of Publication | Omaha, USA | Editor | Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language | English | Summary Language | Original Title | ||
Series Editor | Hosssein Baharmand | Series Title | Abbreviated Series Title | ||
Series Volume | Series Issue | Edition | 1 | ||
ISSN | ISBN | Medium | |||
Track | Technologies for First Responders | Expedition | Conference | ||
Notes | http://dx.doi.org/10.59297/ZLXU9879 | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2518 | ||
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Author | Albert Y. Chen; Feniosky Peña-Mora; Saumil J. Mehta; Stuart Foltz; Albert P. Plans; Brian R. Brauer; Scott Nacheman | ||||
Title | A GIS approach to equipment allocation for structural stabilization and civilian rescue | Type | Conference Article | ||
Year | 2010 | Publication | ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings | Abbreviated Journal | ISCRAM 2010 |
Volume | Issue | Pages | |||
Keywords | Artificial intelligence; Decision support systems; Disaster prevention; Disasters; Geographic information systems; Information systems; Lifesaving equipment; Radio frequency identification (RFID); Equipment allocation; Illinois fire service institutes; Resource repositories; Situational awareness; Structural condition; Structural stabilization; Urban search and rescue; Urban search and rescue operations; Emergency services | ||||
Abstract | Efficient request and deployment of critical resources for urban search and rescue operations is vital to emergency response. This paper presents a RFID (Radio Frequency Identification) supported system for on-site data collection to communicate structural condition, to track search and rescue status, and to request and allocate appropriate resources. The system provides a unified interface for efficient posing, gathering, storing and sharing of building assessment information. Visualization and easy access of such information enables rescuers to response to the disaster with better situational awareness. Resource requests are sent to the GIS resource repository service that enables a visual disaster management environment for resource allocation. Request and deployment of critical resources through this system enables lifesaving efforts, with the appropriate equipment, operator, and materials, become more efficient and effective. System development at the Illinois Fire Service Institute has shown promising results. | ||||
Address | University of Illinois, Urbana-Champaign, United States; Columbia University, United States; Construction Engineering Research Lab, United States; Universitat of Politècnica, Catalunya, Spain; Illinois Fire Service Institute, United States; Thornton Tomasetti, 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 | Open Track | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 388 | |||
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Author | Shideh Dashti; Leysia Palen; Mehdi P. Heris; Kenneth M. Anderson; T. Jennings Anderson; Scott Anderson | ||||
Title | Supporting disaster reconnaissance with social media data: A design-oriented case study of the 2013 Colorado floods | 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 | 632-641 | ||
Keywords | Disasters; Information systems; Crisis informatics; Engineering reconnaissance; Extreme events; Infrastructure performance; Situational awareness; Social media; Floods | ||||
Abstract | Engineering reconnaissance following an extreme event is critical in identifying the causes of infrastructure failure and minimizing such consequences in similar future events. Typically, however, much of the data about infrastructure performance and the progression of geological phenomena are lost during the event or soon after as efforts move to the recovery phase. A better methodology for reliable and rapid collection of perishable hazards data will enhance scientific inquiry and accelerate the building of disaster-resilient cities. In this paper, we explore ways to support post-event reconnaissance through the strategic collection and reuse of social media data and other remote sources of information, in response to the September 2013 flooding in Colorado. We show how tweets, particularly with postings of visual data and references to location, may be used to directly support geotechnical experts by helping to digitally survey the affected region and to navigate optimal paths through the physical space in preparation for direct observation. | ||||
Address | University of Colorado Boulder, United States; Federal Highway Administration, United States | ||||
Corporate Author | Thesis | ||||
Publisher | The Pennsylvania State University | Place of Publication | University Park, PA | Editor | S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9780692211946 | Medium | |
Track | Social Media in Crisis Response and Management | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 423 | |||
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Author | Briony Gray; Mark Weal; David Martin | ||||
Title | Supporting Situational Awareness during Disasters: The Case of Hurricane Irma | Type | Conference Article | ||
Year | 2018 | Publication | Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. | Abbreviated Journal | Iscram Ap 2018 |
Volume | Issue | Pages | 123-131 | ||
Keywords | Situational Awareness, Hurricane Irma, Conceptual Framework, Disaster Management, Social Media | ||||
Abstract | In a rapidly globalizing world, disasters and the way in which they are managed are changing. Social media, in conjunction with other online resources, now provide a wealth of information throughout the lifecycle of disasters and are relied upon by individuals and emergency responders alike. The study of such data as a lens for analysis has proved valuable in recent years, with many contributing to targeted emergency response protocols and improved methods for the management strategies of future crises. This study seeks to make a similar contribution by reporting on the use of such data for situational awareness during the case of hurricane Irma, which occurred between September and August 2017. Using a mixed methods approach the paper examines data from social media such as Twitter, as well as other online sources such as blogs and news media, to provide original insight into the disaster. A conceptual framework is then applied to determine the uses and users of social media, and to identify how these change throughout the course of the disaster, thus demonstrating situational awareness over time. The paper concludes with proposed improvements for disaster management and emergency response for future similar disasters, specifically in the hurricane season, in addition to more generalized hazards which are predicted to increase in their frequency and severity due to underlying issues such as climate change. | ||||
Address | University of Southampton; University of Southampton; University of Southampton | ||||
Corporate Author | Thesis | ||||
Publisher | Massey Univeristy | Place of Publication | Albany, Auckland, New Zealand | Editor | Kristin Stock; Deborah Bunker |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-0-473-45447-0 | Medium | ||
Track | Data Issues for Situation/Disaster Awareness | Expedition | Conference | ISCRAM Asia Pacific 2018: Innovating for Resilience - 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific | |
Notes | bjg1g11@soton.ac.uk | Approved | no | ||
Call Number | Serial | 1664 | |||
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Author | Kimmo Laakso | ||||
Title | Emergency management: Identifying problem domains in communication | 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 | 724-729 | ||
Keywords | Accidents; Civil defense; Communication; Disasters; Information systems; Risk analysis; Risk assessment; Delphi method; Emergency management; Major accidents; Organizational cultures; Problem domain; Response plans; Short term planning; Situational awareness; Risk management | ||||
Abstract | In emergency management, the identification of hazards, analysis of risks, development of mitigation and response plans, maintaining of situational awareness and support of response and recovery are all complex responsibilities. A major accident brings together individuals belonging to many different organizations, having backgrounds in different fields of operation, and representing different organizational cultures. They have to absorb a large amount of information about the accident over a short period of time. In order to take effective action, actors are expected to work smoothly together, thus the flow of information from and to the actors involved is crucial. Nevertheless, there are certain problem domains in the different phases of emergency management, which may weaken the flow of information. In this paper we present the findings of the first round of a Delphi study in which we identified problem domains in communication both in long-term and short-term planning for major accidents. | ||||
Address | Finland Futures Research Centre, Ahma Engineers Ltd., University of Turku, Finland | ||||
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 | Planning and Foresight | Expedition | Conference | 10th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 668 | |||
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Author | Christopher E. Oxendine; Emily Schnebele; Guido Cervone; Nigel Waters | ||||
Title | Fusing non-authoritative data to improve situational awareness in emergencies | Type | Conference Article | ||
Year | 2014 | Publication | ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2014 |
Volume | Issue | Pages | 762-766 | ||
Keywords | Damage detection; Earth (planet); Damage assessments; Emergency; Emergency evacuation; Emergency operations; Evacuation; Non-authoritative data; Situational awareness; Spatio-temporal data; Information systems | ||||
Abstract | In order to coordinate emergency operations and evacuations, it is vital to accurately assess damage to people, property, and the environment. For decades remote sensing has been used to observe the Earth from air, space and ground based sensors. These sensors collect massive amounts of dynamic and geographically distributed spatiotemporal data every day. However, despite the immense quantity of data available, gaps are often present due to the specific limitations of the sensors or their carrier platforms. This article illustrates how nonauthoritative data such as social media, news, tweets, and mobile phone data can be used to fill in these gaps. Two case studies are presented which employ non-authoritative data to fill in the gaps for improved situational awareness during damage assessments and emergency evacuations. | ||||
Address | Department of Geography and Environmental Engineering, United States Military Academy, United States; Department of Geography and GeoInformation Science, George Mason University, United States; Department of Geography, Penn State University, United States | ||||
Corporate Author | Thesis | ||||
Publisher | The Pennsylvania State University | Place of Publication | University Park, PA | Editor | S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9780692211946 | Medium | |
Track | Social Media in Crisis Response and Management | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 825 | |||
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Author | Andrea H. Tapia; Nicklaus A. Giacobe; Nicolas LaLone; Pamela J. Soule | ||||
Title | Scaling 911 Messaging for Emergency Operation Centers During Large Scale Events | 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 | 911; Crisis; Disaster; Emergency Management; Emergency Operations Center; Public University; Situational Awareness; Text Messaging | ||||
Abstract | In this paper we imagine that one day soon, mass crisis events will result in thousands of people trying to get emergency help multiple via multiple mediums. Public Access Service Points and 911 Centers will not be able to meet the demand of text-message calls for help during a large scale disaster. While 911 dispatchers will need to respond directly to each individual text message, we present the development and testing of a system that aims to provide this data, in real-time, directly to emergency managers during a large-scale crisis. The system is designed to accept, sort, triage and deliver hundreds of direct text messages from the PSAP and provide them directly to emergency management staff, who can leverage their content. In the hands of the emergency manager, these data can be used to inform resource allocation decisions, enhance their operational situational awareness, and potentially improve the response to the crisis. | ||||
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 | Practitioner Cases and Practitioner-Centered Research | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | yes | |||
Call Number | Serial | 1261 | |||
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Author | Benjamin Herfort; João Porto De Albuquerque; Svend-Jonas Schelhorn; Alexander Zipf | ||||
Title | Does the spatiotemporal distribution of tweets match the spatiotemporal distribution of flood phenomena? A study about the River Elbe Flood in June 2013 | 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 | 747-751 | ||
Keywords | Catchments; Data mining; Information systems; Social networking (online); Spatial distribution; Water levels; Crisis management; Digital elevation model; Geographical features; Situational awareness; Social media; Social media platforms; Spatiotemporal distributions; Twitter; Floods | ||||
Abstract | In this paper we present a new approach to enhance information extraction from social media that relies upon the geographical relations between twitter data and flood phenomena. We use specific geographical features like hydrological data and digital elevation models to analyze the spatiotemporal distribution of georeferenced twitter messages. This approach is applied to examine the River Elbe Flood in Germany in June 2013. Although recent research has shown that social media platforms like Twitter can be complementary information sources for achieving situation awareness, previous work is mostly concentrated on the classification and analysis of tweets without resorting to existing data related to the disaster, e.g. catchment borders or sensor data about river levels. Our results show that our approach based on geographical relations can help to manage the high volume and velocity of social media messages and thus can be valuable for both crisis response and preventive flood monitoring. | ||||
Address | GIScience Department, Heidelberg University, Germany; Dept. of Computer Systems/ICMC, University of Sao Paulo, Brazil | ||||
Corporate Author | Thesis | ||||
Publisher | The Pennsylvania State University | Place of Publication | University Park, PA | Editor | S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 9780692211946 | Medium | |
Track | Social Media in Crisis Response and Management | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 572 | |||
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Author | Terje Gjøsæter; Jaziar Radianti; Weiqin Chen | ||||
Title | Understanding Situational Disabilities and Situational Awareness in Disasters | 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 | Situational Disabilities, Situational Awareness, Universal Design of ICT for Emergency Management | ||||
Abstract | In this paper, a scenario-based approach augmented with personas typically used in universal design and interactive design domains is used to illustrate the occurrence of situational disabilities in emergency situations, and to show how environmental factors can trigger these situational disabilities. With the help of personas representing selected archetypical characteristics and roles, the scenarios are further examined to show how these situational disabilities can affect the situational awareness of different stakeholders, not only in the command and control centers, but also first responders in the field as well as affected members of the public. This approach provides a better understanding of the importance of universal design of ICT for Emergency Management, not only for people with disabilities and the elderly, but for anyone. |
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Address | Oslo Metropolitan University;Centre for Integrated Emegenency Management, University of Agder | ||||
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 | T9- Universal Design of ICT in Emergency Management | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1924 | |||
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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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