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| Author | Vitaveska Lanfranchi; Stuart N. Wrigley; Neil Ireson; Uta Wehn; Fabio Ciravegna | ||||
| Title | Citizens' observatories for situation awareness in flooding | 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 | 145-154 | ||
| Keywords | Flood control; Floods; Information systems; Models; Sensors; Water; Decision making process; Digital technologies; Flood management; Governance; Netherlands; Research plans; Situation awareness; Observatories | ||||
| Abstract | Citizens' observatories are emerging as a means to establish interaction and co-participation between citizens and authorities during both emergencies and the day-to-day management of fundamental resources. In this paper we present a case study in which a model of citizens' observatories is being been translated into practice in the WeSenseIt project. The WeSenseIt citizens' observatory provides a unique way of engaging the public in the decision-making processes associated with water and flood management through a set of new digital technologies. The WeSenseIt citizens' observatory model is being implemented in three case studies based in the UK, the Netherlands and Italy. We describe the findings and our experiences following preliminary evaluations of the technologies and the model of co-participation and describe our future research plans. | ||||
| Address | University of Sheffield, United Kingdom; UNESCO-IHE Institute for Water Education, Netherlands | ||||
| Corporate Author | Thesis | ||||
| Publisher | The Pennsylvania State University | Place of Publication | University Park, PA | Editor | S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780692211946 | Medium | |
| Track | Community Engagement in Crisis Informatics Research | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 680 | |||
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| Author | Yuanyuan Li; Wenguo Weng; Tao Chen; Hongyong Yuan | ||||
| Title | A Chinese earthquake database for casualty modelling | 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 | 493-497 | ||
| Keywords | Database systems; Information systems; Models; Risk assessment; Risk perception; Casualty; China; Comprehensive information; Database records; Earthquake database; Earthquake events; Historical earthquakes; Seismic parameters; Earthquakes | ||||
| Abstract | In order to conduct empirical casualty modelling in China, Chinese historical earthquake events is the essential basis. However, commonly used casualty databases that focus on Chinese earthquakes and provide comprehensive information rarely exist. Regarding this situation, we derived an earthquake casualty database of Mainland China from authorized Chinese published data sources. The casualty database records 520 earthquake events with magnitude 5.0 and greater where at least one casualty is recorded in the time span from 186 BC through December 2011. Each earthquake case contains information on seismic parameters, deaths tolls, number of heavy injuries and light injuries, as well as areas and population of affected regions from intensity VI to intensity IV. Compared with PAGER-CAT, this casualty database provides 146 unique earthquake events and provides more detailed information on heavy injuries and light injures, as well as areas and exposure population of affected regions. This casualty database is an essential supplement for global casualty databases and provides a basis for earthquake casualty modelling on post-earthquake risk estimation in China. | ||||
| Address | Institute of Public Safety Research, Tsinghua University, Beijing, China | ||||
| 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 | Planning, Foresight and Risk Analysis | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 696 | |||
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| Author | Jennifer Mathieu; Mark Pfaff; Gary L. Klein; Jill L. Drury; Michael Geodecke; John James; Paula Mahoney; Georgiy Bobashev | ||||
| Title | Tactical robust decision-making methodology: Effect of disease spread model fidelity on option awareness | 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 | Computer simulation; Information systems; Agent-based model; Computational time; Courses of action; Equation models; Information technology systems; Integration requirements; Model and simulation; Operational environments; Decision making | ||||
| Abstract | We demonstrate a method of validating the utility of simpler, more agile models for supporting tactical robust decision making. The key is a focus on the decision space rather than the situation space in decision making under deep uncertainty. Whereas the situation space is characterized by facts about the operational environment, the decision space is characterized by a comparison of the options for action. To visualize the range of options available, we can use computer models to generate the distribution of plausible consequences for each decision option. If we can avoid needless detail in these models, we can save computational time and enable more tactical decision-making, which will in turn contribute to more efficient Information Technology systems. We show how simpler low fidelity, low precision models can be proved to be sufficient to support the decision maker. This is a pioneering application of exploratory modeling to address the human-computer integration requirements of tactical robust decision making. | ||||
| Address | MITRE Corporation, United States; Indiana University, Indianapolis, United States; RTI International, 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 | 747 | |||
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| Author | Babajide Osatuyi; David Mendonça | ||||
| Title | Requirements for modeling collaborative information foraging behavior: An application to emergency response organizations | 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 | Dynamics; Hardware; Models; Collaborative information; Dynamic process; Emergency response; Extreme environment; Foraging behaviors; Information foraging; Model approach; Model method; Information systems | ||||
| Abstract | Collaborative information foraging refers to the collective activities of seeking and handling information in order to meet information needs. This paper delineates requirements for modeling salient factors that shape collaborative information foraging behavior of groups. Existing modeling approaches are assessed based on their adequacy for measuring identified salient factors that shape collaborative information foraging behavior. A view of information foraging behavior as a dynamic process is presented. Consequently, this paper purports that modeling methods employed to aid understanding of foraging behavior must allow for plausible explanation of the inherent dynamism in foraging activities. This work therefore provides an initial roadmap to defining salient factors that need to be addressed in order to adequately model collaborative information foraging behavior within teams that operate in extreme environments. 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 | Research Methods | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 818 | |||
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| Author | Stephen Potter; Gerhard Wickler | ||||
| Title | Model-based query systems for emergency response | 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 | 495-503 | ||
| Keywords | Artificial intelligence; Information systems; Models; Advanced sensors; Command-and-control; Emergency responders; Emergency response; Fire emergencies; General architectures; Grid technologies; Query systems; Emergency services | ||||
| Abstract | In this paper we describe the approach adopted and experiences gained during a project to develop a general architecture that aims to harness advanced sensor, modelling and Grid technologies to assist emergency responders in tackling emergencies (specifically fire emergencies). Here we focus on the command and control aspects of this architecture, and in particular, on a query-based approach that has been adopted to allow end users to interact with available models of physical and other phenomena. The development of this has provided a number of insights about the use of such models, which along with the approach itself, should be of interest to any considering similar applications. | ||||
| Address | AIAI, School of Informatics, University of Edinburgh, United Kingdom | ||||
| 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 | Intelligent Systems for Crisis and Disaster Management | Expedition | Conference | 5th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 851 | |||
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| Author | Beate Rottkemper; Kathrin Fischer | ||||
| Title | Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations | 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 | 647-657 | ||
| Keywords | Budget control; Decision making; Disasters; Information systems; Mathematical models; Multiobjective optimization; Recovery; Constraint methods; Decision making support; Disaster situations; Humanitarian logistics; Humanitarian operations; Multi objective decision making; Multi-objective optimization models; Scenario Planning; Emergency services | ||||
| Abstract | Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions. | ||||
| Address | Institute for or and is Hamburg, University of Technology, 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 | Analytical Modelling and Simulation | Expedition | Conference | 10th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 895 | |||
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| Author | Peter Serwylo; Paul Arbon; Grace Rumantir | ||||
| Title | Predicting patient presentation rates at mass gatherings using machine learning | 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 | Artificial intelligence; Data mining; Forecasting; Information systems; Event Types; Heat indices; Machine learning techniques; Mass gathering; Optimization techniques; Predictive models; Predictive variables; Time of day; Learning systems | ||||
| Abstract | Mass gatherings have been defined as events where more than 1,000 people are present for a defined period of time. Such an event presents specific challenges with respect to medical care. First aid is provisioned on-site at most events in order to prevent undue strain on the local emergency services. In order to allocate enough resources to deal with the expected injuries, it is important to be able to accurately predict patient volumes. This study used machine learning techniques to identify which variables are the most important in predicting patient volumes at mass gatherings. Data from 201 mass gatherings across Australia was analysed, finding that event type is the most predictive variable, followed by the state or territory, heat index, humidity, whether it is bounded, and the time of day. Variables with little bearing on the outcome included the presence of alcohol, whether the event was indoors or outdoors, and whether it had one point of focus. The best predictive models produced acceptable predictions of the patient presentations 80% of the time, and this could be further improved using optimization techniques. | ||||
| Address | Monash University, Australia; Flinders University, Australia | ||||
| 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 | Planning and Foresight | Expedition | Conference | 8th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 938 | |||
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| Author | Yixing Shan; Lili Yang; Roy Kalawsky | ||||
| Title | Exploring the prescriptive modeling of fire situation assessment | Type | Conference Article | ||
| Year | 2014 | Publication | ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2014 |
| Volume |
Issue | Pages | 60-64 | ||
| Keywords | Hardware; Ecological rationality; Emergency response; Empirical investigation; Fast and frugal heuristics; Judgment analysis; Prescriptive models; Situation assessment; Situation awareness; Information systems | ||||
| Abstract | One of the key assumptions in Endsley's three-level Situation Awareness (SA) model is the critical role of mental models in the development and maintenance of SA. We explored a prescriptive way of modeling this essential mental process of the fire incident commanders' fire ground assessment. The modeling was drawn from the Fast and Frugal Heuristics (FFHs) program, given the strong parallels between its contentions on ecological rationality and the environment demanding of the emergency response context. This paper addresses a number of issues being encountered in the attempt of our empirical investigation. | ||||
| Address | Loughborough University, United Kingdom | ||||
| Corporate Author | Thesis | ||||
| Publisher | The Pennsylvania State University | Place of Publication | University Park, PA | Editor | S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780692211946 | Medium | |
| Track | Analytic Modeling and Simulation | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 942 | |||
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| Author | Huizhang Shen; Jidi Zhao | ||||
| Title | Decision-making support based on the combination of CBR and logic reasoning | 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; Casebased reasonings (CBR); Crisis; Decision making support; Decision modeling; Decision models; Decision process; Emergency response; Logic reasoning; Information systems | ||||
| Abstract | In recent years, various crises arise frequently and cause tremendous economic and life losses. Meanwhile, current emergency decision models and decision support systems still need further improvement. This paper first proposes a new emergency decision model based on the combination of a new case retrieval algorithm for Case-Based Reasoning (CBR) and logic reasoning, and then address a sample flood disaster emergency decision process to explain the application of the model in practice. | ||||
| Address | Department of Management Information Systems, Shanghai Jiao Tong University, China | ||||
| 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 | Intelligent Systems | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 945 | |||
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| Author | André Simões; Armanda Rodrigues; Patricia Pires; Luis Sá | ||||
| Title | Evaluating emergency scenarios using historic data: Flood management | 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 | Artificial intelligence; Cellular automata; Computer simulation; Decision support systems; Flood control; Floods; Geographic information systems; Information systems; Risk management; Civil protection; Complex evaluations; Development process; Emergency management; Emergency scenario; Flood forecasting models; Flood management; Physical conditions; Risk perception | ||||
| Abstract | The evaluation of an emergency scenario is often based on the use of simulation models. The specificity of these models involves the need for a complex evaluation of the problem domain, including the physical conditions behind the considered threat. Based on emergency occurrences data, provided by the Portuguese National Civil Protection Authority, we are currently developing a methodology for evaluating a real situation, based on past occurrences. The aim is to develop a platform that will enable the evaluation of a risk scenario based on existing civil protection data. The methodology under development should enable the evaluation of different scenarios based on the collected available data. This will be achieved thanks to the facilitated configuration of several aspects, such as the geographical region and relevant properties of the considered threat. In this paper, we describe the methodology development process and the current state of the platform for risk evaluation. | ||||
| Address | CITI, FCT/UNL, Portugal; Autoridade Nacional de Protecção Civil, Portugal | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Lisbon | Editor | M.A. Santos, L. Sousa, E. Portela |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9789724922478 | Medium | |
| Track | Geographic Information Science | Expedition | Conference | 8th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 952 | |||
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| Author | Sébastien Truptil; Frédérick Benaben; Hervé Pingaud | ||||
| Title | Collaborative process design for mediation information system engineering | Type | Conference Article | ||
| Year | 2009 | Publication | ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives | Abbreviated Journal | ISCRAM 2009 |
| Volume |
Issue | Pages | |||
| Keywords | Ontology; Systems engineering; Collaborative process; Crisis; Global approaches; Meta model; Models transformations; System of systems; Information systems | ||||
| Abstract | To reduce a crisis, heterogeneous actors must coordinate their actions and exchange information. The ISyCri project aims at facilitating this collaboration by providing a Mediation Information System (MIS), which change the set of partners into a system of systems. The design of this MIS is based on the characterization of the crisis and services of actors. The first step of MIS design consists in deducing a collaborative process involving partners of the crisis reduction (from the characterization of the crisis and services of actors). This step is based on a metamodel, which allows to build models (consistent with each other) and ontologies. The inference of the collaborative process is not a trivial issue: The deducing approach uses ontologies and models transformation to organize services according to characteristics of the crisis. This paper discusses this global approach and an illustrative case of study. | ||||
| Address | Université de Toulouse – Ecole des Mines, D'Albi-Carmaux, France | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Gothenburg | Editor | J. Landgren, S. Jul |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9789163347153 | Medium | |
| Track | Standardization and Ontologies | Expedition | Conference | 6th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 1021 | |||
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| Author | Jian Wang; Daniela Rosca; Williams Tepfenhart; Allen Milewski | ||||
| Title | Incident command system workflow modeling and analysis: A case study | 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 | 127-136 | ||
| Keywords | Information systems; Management information systems; Models; Verification; Work simplification; Formal approach; Incident command systems; Paperless; Work-flows; Workflow; Workflow management systems; Workflow modeling; Workflow modeling and analysis; Fire hazards | ||||
| Abstract | The dynamics and volunteer-based workforce characteristics of incident command systems have raised significant challenges to workflow management systems. Incident command systems must be able to adapt to ever changing surroundings and tasks during an incident. These changes need to be known by all responsible parties, since people work in shifts, get tired or sick during the management of an incident. In order to create this awareness, job action sheets and forms have been created. We propose a paperless system that can dynamically take care of these aspects, and formally verify the correctness of the workflows. Furthermore, during an incident, the majority of workers are volunteers that vary in their knowledge of computers, or workflows. To address these challenges, we developed an intuitive, yet formal approach to workflow modeling, modification, enactment and validation. In this paper, we show how to apply this approach to address the needs of a typical incident command system workflow. | ||||
| Address | Department of Software Engineering, Monmouth University, West Long Branch, NJ 07728, 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 | INCIDENT COMMAND SYSTEMS WORKFLOW MANAGEMENT | Expedition | Conference | 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 1062 | |||
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| Author | Simone Wurster; Ulrich Meissen | ||||
| Title | Towards an economic assessment approach for early warning systems: Improving cost-avoidance calculations with regard to private households | 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 | 439-443 | ||
| Keywords | Disasters; Investments; Early Warning System; Early warning systems; Economic assessments; Investment decisions; Quantitative assessments; Quantitative models; Theoretical framework; Warning technologies; Information systems | ||||
| Abstract | In recent years, Early Warning Systems (EWS) have proven their value by saving many lives. However, most in-vestments into EWS were motivated directly by experienced disaster events and rarely pro-actively by possible up-coming threats. In order to change that we think that besides ethical and humanitarian reasons also the positive economic effects should be analyzed. EWS also help to protect property, but their contribution is not as obvious in that field due to the lack of quantitative models. This paper presents a disaster-independent formula that shows the benefits of EWS. Additional value to existing approaches is based on its advanced focus on behavioral aspects and the benefits of EWS in comparison to warnings issued via social media. We consider this work as an important contribution for future investments into warning technologies. However, yet this model just provides a theoretical framework for necessary empirical studies that are subject of further research. | ||||
| Address | TU Berlin, Germany; Fraunhofer FOKUS, Germany | ||||
| Corporate Author | Thesis | ||||
| Publisher | The Pennsylvania State University | Place of Publication | University Park, PA | Editor | S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780692211946 | Medium | |
| Track | Planning, Foresight and Risk Analysis | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 1107 | |||
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| Author | Telmo Zarraonandia; Mario Rafael Ruíz Vargas; Paloma Díaz; Ignacio Aedo | ||||
| Title | A game model for supporting children learning about emergency situations | 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 systems; Learning systems; Models; Personnel training; Software design; Communication tools; Educational experiences; Educational process; Educational resource; Emergency; Emergency situation; Emergency training; Games; Education | ||||
| Abstract | Despite the undeniable value of computer games as educational resources for teaching children, its actual application in educational processes is hampered due the complexity of their design and the high cost of developing them. In order to foster their adoption for emergency training, we propose a model for describing the different elements of an educational game for this domain. The model might serve to support the game designing process as well as a communication tool between educators and game designers. This way, the educator can specify the requirements of the educational experience he aims to construct, and based on that information the game designer can propose a set of possible configurations of the game elements that can help to attain the specified objectives. | ||||
| Address | Computer Science Department, Universidad Carlos III, Madrid, Spain | ||||
| 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 | 1138 | |||
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| Author | Xiaodan Yu; Deepak Khazanchi | ||||
| Title | Patterns of Information Technology (IT) Adaptation in Building Shared Mental Models for Crisis Management Teams | 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 | case study; Crisis Management; information technology adaptation; Shared mental models | ||||
| Abstract | One of the essential tasks of crisis management is to develop shared mental models (SMM) among teams and members about the crisis at hand, i.e. shared understanding of the task, process, technology and the teams. This is essential for developing an effective crisis management strategy. In this paper we draw lessons from our studies of distributed teams and their adaptation of IT capabilities to impact shared understanding. In particular, we discuss how patterns of the interplay between IT adaptation and SMM development have implications for crisis management teams. | ||||
| 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 | Open Track | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | yes | |||
| Call Number | Serial | 1244 | |||
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| Author | Parvaneh Sarshar; Jaziar Radianti; Jose J. Gonzalez | ||||
| Title | On the Impacts of Utilizing Smartphones on Organizing Rescue Teams and Evacuation Procedures | 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 | Fire; Game; Organizational Models; Search and Rescue; Smartphone App | ||||
| Abstract | A serious fire game with two different scenarios for the search and rescue (SAR) operation was designed and played. In the first scenario, the SAR operation was performed without any smartphone app assistance, while in the second scenario, our recently developed smartphone app was employed to carry out the evacuation. In this paper, the effects of utilizing this app on organizing firefighting teams, performance of the firefighters, and the evacuation procedure are studied. The results collected from a post-game questionnaire, which was answered by the players of the firefighter role, are analyzed, turning out that the employment of the smartphone app is not only preferable and effective, but also user-friendly. It is also shown that a semi-centralized firefighting organizational model suits the second scenario, whereas a decentralized one is typically used in other scenarios, such as the first one. | ||||
| 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 | Understanding Collaborative Work Practices | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | yes | |||
| Call Number | Serial | 1257 | |||
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| Author | Hans Christian Augustijn Wienen; Faiza Allah Bukhsh; Eelco Vriezekolk; Roel J. Wieringa | ||||
| Title | Accident Analysis Methods and Models – a Systematic Review | 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 | 398-408 | ||
| Keywords | Accident Analysis Methods and Models – a Systematic Review | ||||
| Abstract | After a risk has manifested itself and has led to an accident, valuable lessons can be learned that can be taken into account to reduce the risk of a similar accident occurring again. This calls for accident analysis methods. In the past 20 years a large number of accident analysis methods have been proposed and it is difficult to find the right method to apply in a specific circumstance. We conducted a review of the state of the art of accident analysis methods and models across domains. We classify the models using the well-known categorization into sequential, epidemiological and systemic methods. We find that these classes have their own characteristics in terms of speed of application versus pay-off. For optimum risk reduction, methods that take organizational issues into account can add valuable information to the risk management process in an organization. | ||||
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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 | Planning, Foresight and Risk Analysis | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2117 | |||
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| Author | Nadeera Ahagama; Raj Prasanna | ||||
| Title | Disaster Knowledge Transfer in Networks: Enablers and Barriers | 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 | 110-122 | ||
| Keywords | Disaster, Knowledge Transfer, networks, Knowledge Management models | ||||
| Abstract | Most countries are now establishing multi-stakeholder, multi-institutional networks and partnerships to respond to flood disasters. The paucity of research directed towards knowledge transfer in networks keeps some important research questions unanswered. These include (1) how the knowledge of a certain disaster management stakeholder (or a group) is transferred to other stakeholders during the disaster response, and (2) what are the barriers and enablers of knowledge transfer in multi-stakeholder environments. This article analyses knowledge transfer practices employed by a selected local government agency and a community group in Sri Lanka and reflects on the practices with the help of Hedlund's Knowledge Management Model (1994). The grounded theory analysis was used in this study to present the enablers and barriers of knowledge transfer in this context and the findings have a great potential to be used in future research towards developing knowledge management models specific to disaster response. | ||||
| Address | University of Colombo; Joint Centre for Disaster Research / Massey University | ||||
| Corporate Author | Thesis | ||||
| Publisher | Massey Univeristy | Place of Publication | Albany, Auckland, New Zealand | Editor | Kristin Stock; Deborah Bunker |
| Language | English | Summary Language | Original Title | ||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Track | Data Issues for Situation/Disaster Awareness | Expedition | Conference | ||
| Notes | Approved | no | |||
| Call Number | Serial | 1686 | |||
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| Author | Anna Kruspe; Jens Kersten; Friederike Klan | ||||
| Title | Detecting event-related tweets by example using few-shot models | 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 | Social media, Twitter, Relevance, Keywords, Hashtags, Few-shot models, One-class classification | ||||
| Abstract | Social media sources can be helpful in crisis situations, but discovering relevant messages is not trivial. Methods have so far focused on universal detection models for all kinds of crises or for certain crisis types (e.g. floods). Event-specific models could implement a more focused search area, but collecting data and training new models for a crisis that is already in progress is costly and may take too much time for a prompt response. As a compromise, manually collecting a small amount of example messages is feasible. Few-shot models can generalize to unseen classes with such a small handful of examples, and do not need be trained anew for each event. We show how these models can be used to detect crisis-relevant tweets during new events with just 10 to 100 examples and counterexamples. We also propose a new type of few-shot model that does not require counterexamples. |
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| Address | German Aerospace Center (DLR), Germany | ||||
| 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 | T8- Social Media in Crises and Conflicts | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
| Notes | Approved | no | |||
| Call Number | Serial | 1911 | |||
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| Author | Xiaodan Yu; Deepak Khazanchi | ||||
| Title | Studying Virtual Teams during Organizational Crisis from a Sociomaterial Perspective | 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 | 1055 | ||
| Keywords | Virtual team; sociomaterialism; organizational crisis; shared mental models; adaptive use of IT | ||||
| Abstract | In this paper, we propose sociomaterialism as a theoretical lens for studying virtual team management during organizational crisis. In applying this lens, we propose the use of pattern theory as the method of choice for documenting effective practices for managing virtual teams in organizational crisis settings. | ||||
| Address | University of International Business and Economics, Beijing, China; University of Nebraska at Omaha, Omaha, USA | ||||
| 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 | Future Trends | Expedition | Conference | 14th International Conference on Information Systems for Crisis Response And Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2088 | |||
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| Author | Julian Zobel; Patrick Lieser; Tobias Meuser; Lars Baumgärtner; Mira Mezini; Ralf Steinmetz | ||||
| Title | Modeling Civilian Mobility in Large-Scale Disasters | 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 | 119-132 | ||
| Keywords | Civilian disaster communication, Delay-Tolerant Networks, Human mobility, Mobility models, Disaster response, Simulation | ||||
| Abstract | When disasters destroy critical communication infrastructure, smartphone-based Delay-Tolerant Networks (DTNs) can provide basic communication for civilians. Although field tests have shown the practicability of such systems, real-world experiments are expensive and hardly repeatable. Simulations are therefore required for the design and extensive evaluation of novel DTN protocols, but meaningful assertions require realistic mobility models for civilians. In this paper, trace files from a large-scale disaster field test are analyzed to identify typical human behavior patterns in a disaster area. Based on this, we derive a novel civilian disaster mobility model that incorporates identified behaviors such as group-based movement and clustering around points-of-interests such as hospitals and shelters. We evaluate the impact of mobility on DTN communication performance by comparing our model with other established mobility models as well as the trace file dataset in a simulative evaluation based on the field test scenario. In general, our mobility model leads to a more realistic assessment of DTN communication performance compared to other mobility models. | ||||
| Address | Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt | ||||
| 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 | Analytical Modeling and Simulation | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
| Notes | julian.zobel@kom.tu-darmstadt.de | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2319 | ||
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| Author | Kiran Zahra; Rahul Deb Das; Frank O. Ostermann; Ross S. Purves | ||||
| Title | Towards an Automated Information Extraction Model from Twitter Threads during Disasters | 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 | 637-653 | ||
| Keywords | Social media threads; Text summarization; Disasters; Lexicons; Information extraction models; Word embeddings | ||||
| Abstract | Social media plays a vital role as a communication source during large-scale disasters. The unstructured and informal nature of such short individual posts makes it difficult to extract useful information, often due to a lack of additional context. The potential of social media threads– sequences of posts– has not been explored as a source of adding context and more information to the initiating post. In this research, we explored Twitter threads as an information source and developed an information extraction model capable of extracting relevant information from threads posted during disasters. We used a crowdsourcing platform to determine whether a thread adds more information to the initial tweet and defined disaster-related information present in these threads into six themes– event reporting, location, time, intensity, casualty and damage reports, and help calls. For these themes, we created the respective thematic lexicons from WordNet. Moreover, we developed and compared four information extraction models trained on GloVe, word2vec, bag-of-words, and thematic bag-of-words to extract and summarize the most critical information from the threads. Our results reveal that 70 percent of all threads add information to the initiating post for various disaster-related themes. Furthermore, the thematic bag-of-words information extraction model outperforms the other algorithms and models for preserving the highest number of disaster-related themes. | ||||
| Address | University of Zurich; University of Zurich, IBM; University of Twente; University of Zurich | ||||
| 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 | Social Media for Crisis Management | Expedition | Conference | ||
| Notes | Approved | no | |||
| Call Number | ISCRAM @ idladmin @ | Serial | 2444 | ||
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| Author | Ooms, D. | ||||
| Title | Civil-Military Interaction: a Case Study to validate a Conceptual Framework | Type | Conference Article | ||
| Year | 2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
| Volume |
Issue | Pages | 501-515 | ||
| Keywords | Civil-Military Interaction; Case-Study; Models, Validation | ||||
| Abstract | International peace operations in response to complex emergencies require effective interaction between international civil and military participants and local actors. Although these operations frequently occur worldwide, civil-military interaction (CMI) remains problematic. CMI problems are described in the literature at length. However, the knowledge management aspects of these problems have received less attention. The feasibility of technical support solutions for CMI should be investigated using a design science approach. This requires validated models of the structural and behavioral characteristics of the CMI domain. A CMI conceptual framework providing such models has been proposed earlier and should be validated. A case study has been conducted into a Netherlands military CMI organization. This study provides for initial user validation of the models. In follow-on research, the validated conceptual framework is used to structure the investigation of CMI problems, knowledge process deficiencies, and their causal relations. It may subsequently support knowledge engineering-based solution design. | ||||
| Address | Dept. of Computer Science University of Cincinnati; Dept. of Informatics and Networked Systems University of Pittsburgh | ||||
| 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 | Analytical Modeling and Simulation | Expedition | Conference | ||
| Notes | http://dx.doi.org/10.59297/AODV9435 | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2543 | ||
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