Oussema Ben Amara, Daouda Kamissoko, Frédérick Benaben, & Ygal Fijalkow. (2021). Hardware architecture for the evaluation of BCP robustness indicators through massive data collection and interpretation. 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. 71–78). Blacksburg, VA (USA): Virginia Tech.
Abstract: Recently, the concept of robustness measurement has become clearly important especially with the rise of risky events such as natural disasters and mortal pandemics. In this context, this paper proposes an overview of a hardware architecture for massive data collection in the aim of evaluating robustness indicators. This paper essentially addresses the theoretical and general problems that the scientific research is seeking to address in this area, offers a literature review of what already exists and, based on preliminary diagnosis of what the literature has, presents a new approach and some of the targeted findings with a focus on the leading aspects, having a primary objective of explaining the multiple aspects of this research work.
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Dilek Ozceylan, & Erman Coskun. (2008). Defining critical success factors for National Emergency Management Model and supporting the model with information systems. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 376–383). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Natural or man-made disasters frequently occur in different countries and disaster types and consequences might differ immensely depending on that country's unique characteristics. While probability of a man-made disaster occurrence will be high for technologically advanced countries as a result of using technology in almost every aspect of daily life, probability of natural disaster occurrence will be dependent on geological, geographical, and climate related factors. Based on their different risk types and levels, each nation should create their own National Emergency Management Model (NEMM) and because of country specific conditions each plan must be unique. Thus, for each country NEMM should be focusing on different factors which are important and should show that country the importance list of factors. As a result, countries may better distribute their limited resources to reach optimum emergency management plan and execution. In this study, our goal is to three fold. Our first goal is to come up with full list of categories and factors which are important for a successful National Emergency Management Model. In order to achieve this goal, we determined our categories and factors based on our analysis of previous disasters and literature review. The second goal is to determine the importance level of each category and defining critical success factors for different countries. For this purpose, we are planning to use experts from different countries. This part of study is still underway. Finally, we analyze how information systems might be utilized for each category and factors to support a better National Emergency Management Model. This is a first step of a multi-step research.
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Paola Pagliara, Angela Corina, Alessandro Burastero, Paolo Campanella, Luca Ferraris, Marina Morando, et al. (2011). Dewetra, coping with emergencies. 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: Dealing with multi-risk assessment needs reliable forecasting and warning systems able both to rapidly make available observational data and to make accessible forecast tools to the Decision Makers. In this paper we present Dewetra, a real-time integrated system for risk forecasting, monitoring and prevention. We provide a description of its features and examples of its operational use at the Italian Prime Minister Office – National Department for Civil Protection- Centro Funzionale Centrale. In particular is presented its application to flood risk management and to wild fire risk management.
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Jack Pagotto, & Darrell O'Donnell. (2012). Canada's multi-agency situational awareness system – Keeping it simple. 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: The Canadian Multi-Agency Situational Awareness System (MASAS) is rapidly becoming Canada's national system for exchanging emergency management incident-relevant information amongst multiple agencies and jurisdictions. Through the use of structured information aligned with open standards, and a centrally managed open architecture, MASAS provides a trusted virtual community with the ability to seamlessly exchange emergency management information. MASAS offers an information exchange architecture that is based around a highly resilient system of data aggregation hubs that are easily accessible directly or through third party commercial tools by emergency management officials at all levels, from the smallest community in the most remote areas of Canada's north to key federal stakeholders such as the federal Government Operations Centre or the Canadian military. This paper highlights the key design principles, experimental activities, and technology implementation strategies that are positioning MASAS as a Canadian success story in the making – from coast to coast to coast. © 2012 ISCRAM.
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Douglas C. Pattie, & Stefanie Dannenmann. (2008). Evaluation and strengthening of early warning systems in countries affected by the 26 December 2004 Tsunami. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 415–423). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The objective of this international initiative was to provide an integrated framework for strengthening early warning systems in the Indian Ocean region by building on existing systems and facilitating coordination among specialized and technical institutions. The project supported the development of tsunami early warning systems in collaboration with numerous United Nations and other organizations devoted to disaster risk management and risk reduction. For the practitioner of early warning systems, the project has been divided into two areas-warning system development and preparedness. As a cross-cutting theme, the project promoted multi-hazard end-to-end systems in a regional context by emphasizing (i) risk knowledge, (ii) monitoring and warning service, (iii) communications and dissemination of understandable warnings and (iv) response capability and preparedness. The activities of the project were structured into five components-system implementation, integrated risk management, public awareness and education, community-level approaches and project coordination. Practitioners should note that the work represents a first step for establishing a complete tsunami early warning system within a multi-hazard framework.
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Paulini, M. S., Duran, D., Rice, M., Andrekanic, A., & Suri, N. (2023). KENNEL Threat Detection Boxes for First Responder Situational Awareness and Risk Management. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 208–219). Omaha, USA: University of Nebraska at Omaha.
Abstract: KENNEL is a deployable IoT-based system consisting of a network of unattended ground sensors, known as Threat Detection Boxes (TDBs), which may be outfitted with any variety of custom and commercial-off-the-shelf sensors for hazard detection. The KENNEL system fills a technological gap for sensor fusion, interpretation, and real-time alerting via existing information management systems, such as Team Awareness Kit (TAK). First responders face a critical need for improved situational awareness, detection, and response to hazardous events. KENNEL provides a first of its kind, low-cost sensing & data fusion platform that is highly extensible, configurable, and self-sustaining, opening a world of modernization and innovation possibilities across the first responder domain. TDBs may also be statically or ad hoc deployed, improving flexibility, stand-off hazard detection, and resilience in the operational domain. From critical infrastructure monitoring to wearables, the system affords timeliness of critical information for effective risk management and increased personnel safety.
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Gertraud Peinel, Thomas Rose, & Alexander Wollert. (2012). The myth of business process modelling for emergency management planning. 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: Over the last two decades a significant number of projects tried to convey the concept of business process man-agement to the domain of emergency management. Most of these approaches sought a partial automation for the execution of standard operating procedures in the sense of workflow support, while others strived for the sup-port and integration of information management and data streams in command centres during a crisis. This pa-per focuses on the planning of disaster response for reasons of better preparedness. It discusses whether emer-gency management organisations can capitalize on off-the-shelf business process modelling tools to prepare for disasters more effectively, and whether the concepts of process modelling can be applied to standard operating procedures and vice versa. Moreover, it investigates whether such tools can efficiently support a collaborative preparation of police, fire departments, and rescue organizations. This paper will demonstrate why conventional business process means are inapplicable as planning tool in this domain. And it will also give an outlook to so called smart checklists that might be better suited both for the planning and response phase of emergency epi-sodes. © 2012 ISCRAM.
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Gertraud Peinel, Thomas Rose, & Elmar Berger. (2007). Process-oriented risk management for smaller municipalities. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 405–410). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Project ERMA (Electronic Risk Management Architecture) develops a platform for risk managers that can be cus-tomised to individual risk management scenarios in order to meet the needs of small and medium-sized municipali-ties. Due to their limited resources, smaller boroughs call for flexible and intelligent platforms that can be tailored to a set of risk management scenarios that might range from natural disasters to man-made hazards. This paper will promote a process-oriented stance for supporting emergency management operations. The scope of services ranges from decision support via key-indicators with attached process management system up-to alarming services that incorporate citizen relationship management services to keep the citizen well informed and use him for the capture of additional information.
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Carmen Penadés, Marcos R. S. Borges, José H. Canós-Cerdá, & Adriana S. Vivacqua. (2011). A product line approach to the development of advanced emergency plans. 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: Emergency plans play a central role in emergency management processes. However, the technical problems associated to emergency plan development have received very little attention. As a matter of fact, most emergency plans are printed documents prepared with the sole support of a word processing system. As a consequence, new media are the exception in current plans. Moreover, the plans are developed without any methodological support that guides planners through the plan development process. In this paper we introduce DPL(EP), a method for the development of emergency plans. Based on the Document Product Lines process for the development of variable content document families, its main goal is to provide methodological guidance and tool support for the development of emergency plans. The distinguishing characteristics of the method are: first, the use of feature models to describe variability in emergency plan content and in the representation of the plan components; second, the “one organization-one plan” philosophy of the development process that produces customized plan editors; and third, its product line nature that enforces reuse of information elements, making plan development more convenient.
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Pengfei Zhou, Tao Chen, Guofeng Su, Bingxu Hou, & Lida Huang. (2020). Research on the Forecasting and Risk Analysis Method of Snowmelt Flood. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 545–557). Blacksburg, VA (USA): Virginia Tech.
Abstract: Risk analysis of snowmelt flood is an urgent demand in cold highland areas. This paper focuses on the method for the rapid and reliable forecast of daily snowmelt, snow water runoff, and snowmelt flood risk. A neural network algorithm is used to calculate snow density distribution, snow depth and snow-water equivalent with the brightness temperature data. Then, daily snowmelt is predicted using the degree-day factor method with the temperature distribution. On this basis, we use the steepest descent method and Manning formula with hydrographic information to simulate snow water runoff. We also propose a method to predict the snowmelt flood risk with the geographic feature and historical flood data. The evaluated risk is compared with monitored data in the Xinjiang Autonomous Region of China, which shows good consistency. At last, we develop a risk analysis system to generate the snowmelt flood risk map and provide risk analysis service.
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Pettersson, M. N., Axelsson, J., Svenson, P., & Johansson, A. (2023). Towards a Risk Analysis Method for Systems of Systems: A Case Study on Wildfire Rescue Operations. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 530–545). Omaha, USA: University of Nebraska at Omaha.
Abstract: Crisis management (CM) is facing new challenges due to the increasing complexity of contemporary society. To mitigate a crisis, it is often necessary for a collection of independent systems, people, and organizations to cooperate. These collaborating entities constitute an interconnected socio-technical system of systems (SoS). An important question is how a CM SoS should be constructed to minimize the risk of failure and accurately handle a crisis. SoS pose new challenges in analysing risk during interactions. This paper investigates whether the risk analysis method STAMP (System-Theoretic Accident Model and Processes) is suitable for SoS, using a forest fire rescue operation case study. Results show characteristics of various risk sources and identify some SoS characteristics, such as dynamic structure and latent risks, that are not sufficiently handled in STAMP. The study further contributes to the body of knowledge by presenting potential directions for research on SoS risk assessment methods.
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Sofie Pilemalm, Tobias Andersson Granberg, Rebecca Stenberg, & Anders Axelsson. (2012). Emergency response in rural areas. 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: In this study, security and safety in rural parts of Sweden is investigated. New ways of organizing for efficient response can be found in the extended collaboration between societal sectors and in utilizing the local social capital. New categories of first responders and their requirements are identified and we propose non-technical and technical solutions as support. The results' application to large-scale crises is discussed. © 2012 ISCRAM.
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Linda Plotnick, Elizabeth Avery Gomez, Connie White, & Murray Turoff. (2007). Furthering development of a unified emergency scale using Thurstone's Law of Comparative Judgment: A progress report. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 411–418). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In disasters, local civilians on or near the scene, are often first to respond and give aid. Therefore, the public needs to be well-informed with accurate, time critical information. However, a primary information source is event-specific scales that are inconsistent in their categorization and measurement, adding confusion to public responsiveness. These scales are not extendable to new emergencies in a changing world. We argue for development of a unified emergency scale to facilitate communication and understanding. This scale will inform local communities with regional community-specific information, and will be extendable for further use by professional responders. Research in progress elicited 15 dimensions of an emergency using a Delphi-like process and then ranked the dimensions by importance utilizing Thurstone's Law of Comparative Judgment. Contributions of this paper are to highlight the need for an unequivocal, unified scale and further its development.
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Linda Plotnick, Starr Roxanne Hiltz, Rosalie Ocker, & Mary Beth Rosson. (2008). Leadership in partially distributed emergency response software development teams. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 150–158). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Emergency response and preparedness teams that are inter-organizational or international often work together in partially distributed teams (PDTs). A PDT has at least one collocated subteam and at least two subteams that are geographically distributed. Leadership configuration and behaviors present unique challenges in PDTs. This paper describes preliminary results of an initial field experiment with international student teams undertaken to examine leadership in PDTs working on high-level requirements for an emergency preparedness information system. Leadership is viewed through the lens of what leader behaviors, or roles, are enacted by the leaders. Leadership configuration was varied: some teams had just an overall team leader; others had no team leader but had a leader for each subteam, while others had both team and subteam leaders. The findings suggest that leadership configuration matters and that leaders do enact roles similar to those found in studies of fully distributed or traditional collocated teams.
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Quanlai Zhao, Guofeng Su, & Hongyong Yuan. (2015). Fast Marching Method Applied For Emergency Evacuation in High-rise Building Fire. 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: In this paper, we use the fast marching method to solve the emergency evacuation in high-rise building fire. This method is a numerical method which is used to solve the Eikonal equation in rectangular grids. As we know, building fires are very common in the world. They have caused a great deal of personnel casualty and property losses. How to reduce the casualty and ensure the life safety of trapped persons and rescuers have become the most important problem of the fire department. We carry out fire experiment and FDS simulation to research the structure fire firstly. Second, we divide the construction into 0.4m*0.4m grid. This size is a person who occupied when he is standing. After that, we use interpolation method to analyze the experiment and FDS simulation data so that we can get the risk value of each grid. At last, we calculate the global potential energy field of the scene based on the fast marching method and obtain a safest path for the trapped persons. The safest path represents the fastest-risk-decline path. In the cause of fire rescue we can provide the safest path to the trapped persons through evacuation signals of the building in order to guide them to evacuate and self-rescue.
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Jaziar Radianti, Julie Dugdale, Jose J. Gonzalez, & Ole-Christoffer Granmo. (2014). Smartphone sensing platform for emergency management. 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. 379–383). University Park, PA: The Pennsylvania State University.
Abstract: The increasingly sophisticated sensors supported by modern smartphones open up novel research opportunities, such as mobile phone sensing. One of the most challenging of these research areas is context-aware and activity recognition. The Smart Rescue project takes advantage of smartphone sensing, processing and communication capabilities to monitor hazards and track people in a disaster. The goal is to help crisis managers and members of the public in early hazard detection, prediction, and in devising risk-minimizing evacuation plans when disaster strikes. In this paper we suggest a novel smartphone-based communication framework. It uses specific machine learning techniques that intelligently process sensor readings into useful information for the crisis responders. Core to the framework is a content-based publish-subscribe mechanism that allows flexible sharing of sensor data and computation results. We also evaluate a preliminary implementation of the platform, involving a smartphone app that reads and shares mobile phone sensor data for activity recognition.
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Murali Raman, Magiswary Dorasamy, Saravanan Muthaiyah, & Maniam Kaliannan. (2014). Web-based community disaster management and awareness system (CEMAS) in Malaysia. 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. 384–393). University Park, PA: The Pennsylvania State University.
Abstract: Emergency situations are unavoidable. This paper presents the functions inherent in a prototype system that was developed in Malaysia for emergency management. The prototype is potentially useful in Selangor, a state in Malaysia that is prone to natural disasters such as flash floods and landslides. The paper is presented as a report of our on-going project in Malaysia and the intended future work regarding web-based emergency management systems in Malaysia. This prototype development is funded by the Ministry of Education in Malaysia and supported by the National Security Council of Malaysia (Majilis Keselamatan Negara, MKN).
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Wolfgang Raskob, Florian Gering, & Valentin Bertsch. (2009). Approaches to visualisation of uncertainties to decision makers in an operational decision support system. 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: Decision making in case of any emergency is associated with uncertainty of input data, model data and changing preferences in the decision making process. Uncertainty handling was from the beginning an integral part of the decision support system RODOS for the off-site emergency management following nuclear or radiological emergencies. What is missing so far is the visualisation of the uncertainties in the results of the model calculations. In this paper we present the first attempt to visualise uncertain information in the early and late phase of the decision making process. For the early phase, the area of sheltering was selected as example. For the later phase, the results of the evaluation subsystem of RODOS were selected being used for the analysis of remediation measures such as agricultural management options. Both attempts are still under discussion but the presentation of the early phase uncertainty will be realised in the next version.
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Wolfgang Raskob, Valentin Bertsch, Jutta Geldermann., Sandra Baig, & Florian Gering. (2005). Demands to and experience with the decision support system rodos for off-site emergency management in the decision making process in Germany. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 269–278). Brussels: Royal Flemish Academy of Belgium.
Abstract: Emergency situations, man-made as well as natural, can differ considerably. However, they share the characteristic of sudden onset, involve complex decisions and necessitate a coherent and effective emergency management. In the event of a nuclear or radiological accident in Europe, the real-time on-line decision support system RODOS provides support from the early phase through to the medium and long-term phases. This paper describes the demands to a Decision Support System from a user-centred view as well as experiences gained from conducting moderated decision making workshops based on a hypothetical accident scenario focusing on the evaluation of long-term countermeasures using the simulation capabilities of the RODOS system and its recently integrated evaluation component Web-HIPRE, a tool for multi-criteria decision analysis (MCDA).
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Elio Rich. (2006). Modeling risk dynamics in e-operations transitions. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 239–250). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Migrations to new modes of operation are perilous times for most organizations. For firms that routinely work in high-threat, high-reward situations, the risks of innovation are particularly challenging. This paper presents a systems-based approach to understanding these risks, drawing examples from one firm migrating to e-Operations for offshore oil platforms to increase profitability. The firm recently participated in two facilitated group model building exercises to examine the effects of the migration on the organization and resources needed to safely implement multiple changes over time. Based on these exercises, a simulation model of the timing and relative levels of risk, was developed. The results of the workshop and simulation demonstrate the effect of a combined qualitative and quantitative modeling approach to understanding complex problems.
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Tom Ritchey. (2006). Modeling multi-hazard disaster reduction strategies with computer-Aided morphological analysis. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 339–346). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Disaster Risk Management (DRM) is a multi-dimensional problem complex requiring knowledge and experience from a wide range of disciplines. It also requires a methodology which can collate and organize this knowledge in an effective, transparent manner. Towards this end, seven specialists from the social, natural and engineering sciences collaborated in a facilitated workshop in order to develop a prototype multi-hazard disaster reduction model. The model, developed with computer-Aided morphological analysis (MA), makes it possible to identify and compare risk reduction strategies, and preparedness and mitigation measures, for different types of hazards. Due to time constraints, the model is neither complete nor accurate-but only represents a proof-of-principle. The workshop was sponsored by the Earthquake Disaster Mitigation Research Center (EDM) in Kobe, in January, 2005.
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Roberta S. Russell, & Janine S. Hiller. (2015). Applying Best Supply Chain Practices to Humanitarian Relief. 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: With the growth in length and breadth of extended supply chains, more companies are employing risk management techniques and resilience planning to deal with burgeoning and costly supply chain disruptions. As companies can learn from humanitarian groups, so can humanitarian groups learn from industry how to respond, recover, and prepare for these disruptive events. This paper looks at industry leaders in supply chain risk management and explores how humanitarian supply chains can learn from industry best practices.
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Robin E. Mays. (2010). A planning approach to humanitarian logistics. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In humanitarian events, logistics is traditionally considered at time of crisis, and at the tail-end of a project design with little to no strategical, logistical forethought applied. Introducing risk assessment and integrating logistics planning with program plans and training to these plans prior to disaster striking offers a more impactful response at time of disaster. This can be introduced in high risk countries through one on one training, simple templates, spreadsheets and standardized processes.a low to no technological, and highly relational method of building capacity and increasing the impact of an organization.s response to beneficiaries.
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Robin E. Mays, Rebecca Walton, & Bridgette Savino. (2013). Emerging trends toward holistic disaster preparedness. 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. 764–769). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Our research reflects an emerging shift in understandings of effective preparedness practices from siloed approaches toward more holistic views. We trace a shifting perspective emerging in literature and present in the early qualitative data of current preparedness experts' interviews within an international humanitarian organization whose core mission is disaster preparedness and response. Designing effective information systems for disaster preparedness requires us to better understand the dynamic and implicit ways practitioners define effective work. Our pilot research begins to uncover preparedness experts' perspectives, with plans for the study to investigate how preparedness practitioners view, conduct, and evaluate their work at the lowest-level1. Our long-term research goal is to realize implications for the more effective design of tools and systems to support disaster preparedness.
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Anthony C. Robinson, Robert E. Roth, & Alan M. MacEachren. (2010). Challenges for map symbol standardization in crisis management. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: A wide range of local, regional, and federal authorities will generate maps to help respond to and recover from a disaster. It is essential that map users in an emergency situation can readily understand what they are seeing on these maps. Standardizing map symbology is one mechanism for ensuring that geospatial information is interpretable during an emergency situation, but creating an effective map symbol standard is a complex and evolving task. Here we present preliminary results from research into the application of the ANSI 415-2006 INCITS Homeland Security Map Symbol Standard, a point symbol standard intended to support emergency management mapping for the U.S. Department of Homeland Security. This standard has so far not been widely adopted across the full range of DHS missions, and we elaborate on key issues and challenges that should be accounted for when developing future map symbol standards for crisis management.
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