Yixing Shan, Lili Yang, & Roy Kalawsky. (2014). Exploring the prescriptive modeling of fire situation assessment. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 60–64). University Park, PA: The Pennsylvania State University.
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.
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Shane Halse, Jess Kropczynski, & Andrea Tapia. (2018). Using Metrics of Stability to Identify Points of Failure and Support in Online Information Distribution during a Disaster. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (p. 1121). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: We utilize the 2012 Hurricane Sandy dataset to investigate methods to measure network stability during a crisis. While previous research on information distribution has focused on individuals that are most connected, or most willing to share information, we examined this dataset for indicators of network stability. The value of this measure is to identify the points of failure within the network. The findings in this paper provide support for the use of social network analysis within the realm of crisis response to identify the points of failure within the network.
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Alexei Sharpanskykh. (2012). An agent-based approach for safety analysis of safety-critical organizations. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Modern safety-critical organizations are characterized by complex, nonlinear dynamics involving many interrelated actors and processes. Safety issues that emerge from these complex dynamics increasingly remain hidden, until an incident or even a serious accident occurs. Traditional safety analysis methods developed long ago for much simpler organizations cannot help identifying, explaining and predicting many safety-related properties of modern organizations. To address this issue, in the paper a formal approach is proposed to establish relations between local dynamics of actors of a complex safety-critical organization and global safetyrelated properties that emerge from these dynamics. In contrast to the traditional approaches, the organizational dynamics are specified by taking the agent perspective with an organizational layer. The application of the approach is illustrated by a simulation case study, in which spread of safety-critical information in an air navigation service provider is investigated. © 2012 ISCRAM.
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Simon French, Nikos Argyris, Jim Q. Smith, Stephanie Haywood, & Matthew C. Hort. (2017). Uncertainty Handling during Nuclear Accidents. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 15–24). Albi, France: Iscram.
Abstract: In the years following Chernobyl, many reports and projects reflected on how to improve emergency management processes in dealing with an accidental offsite release of radiation at a nuclear facility. A common observation was the need to address the inevitable uncertainties. Various suggestions were made and some of these were researched in some depth. The Fukushima Daiichi Disaster has led to further reflections. However, many of the uncertainties inherent in responding to a threatened or actual release remain unaddressed in the analyses and model runs that are conducted to support the emergency managers in their decision making. They are often left to factor in allowances for the uncertainty through informal discussion and unsupported judgement, and the full range of sources of uncertainty may not be addressed. In this paper, we summarise the issues and report on a project which has investigated the handling of uncertainty in the UK's national crisis cell. We suggest the R&D programmes needed to provide emergency managers with better guidance on uncertainty and how it may affect the consequences of taking different countermeasures.
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Simone Wurster, Frank Fiedrich, Michael Klafft, & Andreas Bohn. (2016). Sudden Cardiac Arrest and the Role of Crowd Tasking Apps for Risk Mitigation. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Sudden cardiac arrest (SCA) is among the three most prominent causes of death in industrialized nations. Therefore, experts are calling for solutions, including smartphone-based systems to mobilize volunteers. German researchers are developing a crisis response system with a crowd tasking app. It aims to help reduce the effects of large-scale events, but also of ad-hoc incidents including SCA. This paper describes an approach to determine the potential of the system to increase the survival rate of SCA illustrated by an example. Its concept was analyzed by five experts from three countries and benefited from their feedback.
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Simone Wurster, Michael Klafft, & Marcel Kühn. (2015). Beyond Saving Lives: Assessing the Economic Benefits of Early Warning Apps for Companies in the Context of Hydrological Hazards. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Natural and man-made hazards are increasingly threatening modern societies. Therefore Turoff, Hiltz, Bañuls and Van Den Eede (2013) highlight the need for boosting efforts in planning for emergencies. Advanced early warning systems (EWS) provide opportunities to increase the resilience of societies. Warning via mobile phones is considered to be the best way of alerting but few public authorities already use this warning channel. EWS also help to protect property but their implementation requires significant investments. Cost-benefit estimations are needed for public authorities, insurance companies and the users, particularly private households and enterprises. This paper contributes a disaster-independent formula to disaster research with specific applications for hydrological hazards. Illustrated by a heavy rain scenario, it shows, in particular, the benefits of EWS for companies. A specific focus is put on lead time aspects.
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Min Song, & Peishih Chang. (2008). Automatic extraction of abbreviation for emergency management websites. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 93–100). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we present a novel approach to reduce information proliferation and aid better information structure by automatically generating extraction of abbreviation for emergency management websites. 5.7 Giga Byte web data from 624 emergency management related web sites is collected and a list of acronyms is automatically generated by proposed system (AbbrevExtractor). Being the first attempt of applying abbreviation extraction to the field, this work is expected to provide comprehensive and timely information for emergency management communities in emergency preparedness, training and education. Future work is likely to involve more data collection and intelligent text analysis for dynamically maintaining and updating the list of acronyms and abbreviations.
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Yan Song, & Yao Hu. (2009). Group decision-making method in the field of coal mine safety management based on AHP with clustering. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The complex and changeful system of coal mine increases the difficulty and importance of its decision-making. Individual decisions sometimes can not bring satisfactory outcomes since the decision need broad knowledge and experience which is not in single field but related to many domains of economics, sociology, logic, etc. To improve the validity and objectivity of decision-making, the group decision-making method is feasible and necessary since it can collect more intelligence to choose and judge together. This paper synthetically analyzes the content and characteristic of decision-making in the field of coal mine safety. A methodology for group decision-making using analytic hierarchy process (AHP) with cluster analysis is proposed accordingly. Then a case study using the method indicates that it is effective and helpful to improve the level of decision-making in the field of coal mine safety management in China.
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Sooji Han, & Fabio Ciravegna. (2019). Rumour Detection on Social Media for Crisis Management. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: We address the problem of making sense of rumour evolution during crises and emergencies. We study how
understanding and capturing emerging rumours can benefit decision makers during such event. To this end, we
propose a two-step framework for detecting rumours during crises. In the first step, we introduce an algorithm to
identify noteworthy sub-events in real time. In the second step, we introduce a graph-based text ranking method
for summarising newsworthy sub-events while events unfold. We use temporal and content-based features to
achieve the effective and real-time response and management of crises situations. These features can improve
efficiency in the detection of key rumours in the context of a real-world application. The effectiveness of our
method is evaluated over large-scale Twitter data related to real-world crises. The results show that our framework
can efficiently and effectively capture key rumours circulated during natural and human-made disasters.
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Stephen Kelly, Xiubo Zhang, & Khurshid Ahmad. (2017). Mining Multimodal Information on Social Media for Increased Situational Awareness. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 613–622). Albi, France: Iscram.
Abstract: Social media platforms have become a source of high volume, real-time information describing significant events in a timely fashion. In this paper we describe a system for the real-time extraction of information from text and image content in Twitter messages and combine the spatio-temporal metadata of the messages to filter the data stream for emergency events and visualize the output on an interactive map. Twitter messages for a geographic region are monitored for flooding events by analysing the text content and images posted. Events detected are compared with a ground truth to see if information in social media correlates with actual events. We propose an Intrusion Index as part of this prototype to facilitate ethical harvesting of data. A map layer is created by the prototype system that visualises the analysis and filtered Twitter messages by geolocation.
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Steve Peterson, Chris Thompson, & Cat Graham. (2018). Getting Disaster Data Right: A Call for Real-time Research in Disaster Response. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 851–859). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: In the response phase of disasters, minimal research has been conducted on the near real-time operational usage of social media. Research findings during this phase could provide evidence to the emergency management community that social media content can be retrieved, verified, and ultimately utilized in decision-making. This paper discusses potential strategies for conducting future research in near real-time during disasters to gain insightful knowledge rarely captured. Following the April 25, 2015, magnitude 7.8 Nepal earthquake, a team of 20 digital volunteers were virtually activated for 48 hours to extract medical-related information from multiple social media platforms and Internet sources. This practitioner insight paper examines methods applied to filter, classify, analyze, verify, and distribute the medical-related information in a timely manner. Association of past research studies are applied to the digital volunteer's experience within a case study framework, calling attention to the feasibility of digital volunteers as an information source in future research.
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Milica Stojmenovic, Cathy Dudek, Patrick Noonan, Bruce Tsuji, Devjani Sen, & Gitte Lindgaard. (2011). Identifying user requirements for a CBRNE management system: A comparison of data analysis methods. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The purpose of this paper was to identify an effective user-requirements data analysis method for informing the design of a Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) management decision support system. Data were collected from a large simulation involving medical, police, hazmat/firefighters and subjected to three different kinds of analysis methods: Social Network Analysis, Content Analysis, and Observational Analysis. While all three methods yielded valuable information, the observational method was by far the best for the present purpose.
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Sardar Muhammad Sulaman, Taimor Abbas, Krzysztof Wnuk, & Martin Höst. (2014). Hazard analysis of collision avoidance system using STPA. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 424–428). University Park, PA: The Pennsylvania State University.
Abstract: As our society becomes more and more dependent on IT systems, failures of these systems can harm more and more people and organizations both public and private. Diligently performing risk and hazard analysis helps to minimize the societal harms of IT system failures. In this paper we present experiences gained by applying the System Theoretic Process Analysis (STPA) method for hazard analysis on a forward collision avoidance system. Our main objectives are to investigate effectiveness in terms of the number and quality of identified hazards, and time efficiency in terms of required efforts of the studied method. Based on the findings of this study STPA has proved to be an effective and efficient hazard analysis method for assessing the safety of a safety-critical system and it requires a moderate level of effort.
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Takuya Oki. (2018). Possibility of Using Tweets to Detect Crowd Congestion: A Case Study Using Tweets just before/after the Great East Japan Earthquake. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 584–596). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: During large earthquakes, it is critical to safely guide evacuation efforts and to prevent accidents caused by congestion. In this paper, we focus on detecting the degree of crowd congestion following an earthquake based on information posted to Social Networking Services (SNSs). This research uses text data posted to Twitter just before/after the occurrence of the Great East Japan Earthquake (11 March 2011 at 02:46 PM JST). First, we extract co-occurring place names, proper nouns, and time-series information from tweets about congestion in the Tokyo metropolitan area (TMA). Next, using these extracted data, we analyze the frequency and spatiotemporal characteristics of these tweets. Finally, we identify expressions that describe the degree of crowd congestion and discuss methods to quantify these expressions based on a questionnaire survey and tweets that contain a photograph.
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Tayler Ruggero, & Brian Tomaszewski. (2018). Geographic Information Capacity (GIC) Across International Scales: Comparing Institutional Structures of Germany to the United States. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1153–1155). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Over the last three decades, the number and severity of natural disasters all across the world has been increasing exponentially (Basher, 2006). This paper intends to consider geographic information capacity (GIC) as it relates to government, government regulated organizations, and international organizations, including the United Nations, and their involvement in disaster risk reduction and management. Specifically, the paper aims to understand similarities and differences and the connection between two governmental disaster management organizations, FEMA in the United States and BBK and THW in Germany. We present a comparative analysis on the two countries in terms of their organizational structures, how their structures affect geographic information capacity and how geographic information capacity is related to disaster risk reduction and disaster response. Future work can make comparisons across more countries, including developing countries, to see what structural changes can be made in government entities to help increase GIC when disaster strikes.
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Thomas J. Terry Jr. (2006). Electronic disease reporting & management. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 569–578). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The New Jersey Institute of Technology (NJIT) developed an Electronic Disease Reporting & Management System (EDRMS) that has the capability for the rapid collection, analysis, and dissemination of suspected outbreaks including Chemical and Bio-Terrorism events. Prior to EDRMS, agencies relied on dis-jointed phone and fax reporting and rudimentary methods for data collection, dissemination, follow-up, and remuneration. The objective of this system is to allow collaborative recognition across all the hospitals and public health offices in the state of New Jersey to detect as soon as possible an epidemic occurring of a known or unknown type.
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Thomas Usländer, & Ingo Simonis. (2015). Geospatial ICT Support for Crisis Management and Response. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Efficient crisis response and management requires well-informed actors and stakeholders and effective means for communication and policy enforcement. A secure and dependable geospatial information and communication technology (ICT) infrastructure may be an indispensable aid if it is tailored to the needs of the respective risk and crisis management phases and the various users.
During an ISCRAM 2015 workshop experts of the risk and crisis management community meet software architects and engineers of the geospatial domain. The objective is to investigate use cases and map them to capabilities of an underlying geospatial ICT infrastructure. The workshop shall launch a sustainable discussion between ISCRAM and the Open Geospatial Consortium (OGC), especially its Emergency and Disaster Management (EDM) domain working group, beyond ISCRAM 2015.
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Mirko Thorstensson. (2012). Supporting observers in the field to perform model based data collection. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Computerized support systems enhancing taskforce performance are being increasingly used in different organizations in the emergency response, crisis management and military fields. Organizational demands for improved mission capabilities and reduced budgets impose new requirements on data content and system performance. More information needs to be provided by humans in the field, reporting observations from the evolving course of events in order to enhance possibilities for operational analyses and continuous development of organizational abilities. In this paper, we describe a method that can improve human data-collection abilities and data quality when using human observers as data collecting sensors in distributed tactical operations by applying model-based data collection. We introduce a tool that can support observers in the field, the network-based observer tool that can support human observers in determining what to report and how to report observations. We present results and findings from three different use cases. © 2012 ISCRAM.
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Murray Turoff, & Victor A. Bañuls. (2011). Major extensions to Cross-Impact Analysis. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In recent years Cross-Impact Analysis (CIA) has resurged as a powerful tool for forecasting the occurrence or not of a set of interrelated events in complex situations, such as emergencies. In this sense, CIA can be used for creating working models out of significant events and crisis scenarios. CIA has been combined with other methodological approaches in order to increase its functionality and improve its final outcome. This is the case of the merger of CIA and the technique called Interpretive Structural Modeling (ISM). The CIA-ISM approach aims at contributing to CIA with tools for detecting critical events and supporting graphical representation of scenarios. In this paper, major extensions to CIA-ISM are presented. These extensions are based on the inclusion of initial condition events and outcome events as two new event types that make CIA-ISM much richer in its potential span of application areas. The practical implications of these major extensions to CIA-ISM are illustrated with an example. The usefulness of this contribution to researchers and practitioners concerned with emergency planning and preparedness is also discussed.
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Murray Turoff, Victor A. Bañuls, Linda Plotnick, & Starr Roxanne Hiltz. (2014). Development of a dynamic scenario model for the interaction of critical infrastructures. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 414–423). University Park, PA: The Pennsylvania State University.
Abstract: This paper summarizes the development of a Cross Impact and Interpretive Structural Model of the interactions of 16 critical infrastructures during disasters. It is based on the estimates of seven professionals in Emergency Management areas and was conducted as an online survey and Delphi Process. We describe the process used and the current results, indicating some of the disagreements in the estimates. The initial results indicate some very interesting impacts of events on one another, resulting in the clustering of events into mini-scenarios.
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Michael Tyworth, & Steve Sawyer. (2006). Integrated criminal justice system design: Designing an appropriate governance structure. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 444–449). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: In this paper we discuss interim findings from an ongoing comparative case study of the Automated Regional Justice Information System (ARJIS) in San Diego, CA. Significant attention had been given to the need to integrate information systems across organizational boundaries in the criminal justice domain. We employ a social informatics lens in this research that views the technological artifact as embedded in cultural and institutional context. In our examination of ARJIS we have found that the adoption of a Joint Powers Agreement (JPA) as a governance structure has impacted system design and organizational practices significantly. Specifically, the JPA facilitates participation by member agencies and, allows the ARJIS management team autonomy and flexibility in developing and managing the ARJIS information system.
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Eva Törnqvist, Johan Sigholm, & Simin Nadjm-Tehrani. (2009). Hastily formed networks for disaster response: Technical heterogeneity and virtual pockets of local order. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: As natural and man-made disasters become increasingly common, ensuring effective disaster response, mitigation and recovery is growing into a high-priority task for governments and administrations globally. This paper describes the challenges of collaboration within multi-organisational hastily formed networks for post-disaster response, which are increasingly relying on emerging ICT infrastructures for communication and cooperation. We present an interdisciplinary analysis of the conditions for establishing an effective mutual conversation space for involved stakeholders, and how the development of socio-technological systems affects cognitive and behavioural aspects such as established communities of practice and virtual pockets of local order. Our observations thus far suggest that some of the key issues are overcoming organisational and cultural heterogeneity, and finding solutions for technical interoperability, to ensure effective, pervasive and sustainable information exchange within and between organisations participating in hastily formed networks.
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Valentin Barriere, & Guillaume Jacquet. (2021). How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 766–771). Blacksburg, VA (USA): Virginia Tech.
Abstract: In a classification task, dealing with text snippets and metadata usually requires to deal with multimodal approaches. When those metadata are textual, it is tempting to use them intrinsically with a pre-trained transformer, in order to leverage the semantic information encoded inside the model. This paper describes how to improve a humanitarian classification task by adding the crisis event type to each tweet to be classified. Based on additional experiments of the model weights and behavior, it identifies how the proposed neural network approach is partially over-fitting the particularities of the Crisis Benchmark, to better highlight how the model is still undoubtedly learning to use and take advantage of the metadata's textual semantics.
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Bartel A. Van De Walle, Ronald Spanjers, & Dirk De Wit. (2006). Stakeholder perceptions and standards for information security risks : A case study at a dutch health care organization. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 513–527). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: With the increased use of electronic patient files in Health Care Organizations (HCOs), addressing the risks related to the storage and use of patient information has become increasingly important to avoid intentional or unintentional disclosure, damage to or abuse of patients' personal health records. This has lead governments from various countries to introduce and impose information security standards for HCOs. The Dutch government introduced the NEN 7510 national information security standard; a standard derived from the international ISO 17799 norm. Preceding the implementation phase of NEN 7510 standard at a Dutch HCO, we conducted a field study to identify the information security risks as perceived by the main stakeholder groups in the HCO. We present the differences in the perceived information security risks and threats by end users, management and suppliers, and the degree to which these identified risks will be addressed by the implementation of the NEN 7510 standard.
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Ariën J. Van Der Wal, & Tim J. Grant. (2013). Simulating information sharing in crisis response coalitions as a minority game. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 120–124). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: A major crisis or disaster attracts a response from multiple organizations. These organizations need to work together as a coalition. To do so effectively, they must share information. Differences in organizational culture give information a scarcity value, leading to the emergence of information markets. As the crisis progresses, organizations learn to work together, building up trust and lowering the “price” for information shared. Organizations that have worked together in previous crises have a price advantage. In short, the information sharing changes dynamically. Evolutionary game theory – And the minority game in particular – has been recently applied to markets in which physical goods are exchanged. This paper presents the first results from simulating an information sharing market in crisis response coalitions as a minority game.
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