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Author Chanvi Kotak; Brian Tomaszewski; Erik Golen pdf  isbn
openurl 
  Title (up) 3-1-1 Calls Hot Spot Analysis During Hurricane Harvey: Preliminary Results 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 350-361  
  Keywords Hurricane Harvey, 3-1-1 data calls, hot spot analysis.  
  Abstract Hurricane Harvey caused massive damage and necessitated the need for identification of areas under high risk. During Harvey, the city of Houston received more than 77000, 3-1-1 calls for assistance. Due to damage caused to the infrastructure, it became difficult to handle and respond to the crisis. Geographic Information Systems (GIS) is a vital technology to assist with real-time disaster monitoring. we investigated if a correlation could be found between 311 data calls made during the Hurricane Harvey and aerial images captured during the event, specifically to see if 311 data could be ground-truthed via hot spot analysis. Preliminary results indicate that visual representation of 3-1-1 call data can aid in analyzing the expected areas of high traffic of calls for assistance and plan an effective way to manage resources. Future work will involve more in-depth analysis of combined 3-1-1 call data with satellite imagery using image classification techniques.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2113  
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Author Ilan Noy; Jacob Pastor Paz; Olga Filippova; Ken Elwood pdf  openurl
  Title (up) A Building Inventory for Seismic Policy in an Earthquake-Prone City 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 145-152  
  Keywords Earthquake-prone, building inventory, retrofit, building occupancy, building standards  
  Abstract We describe the creation of a building inventory database that is created for Wellington, New Zealand's earthquake-prone capital city. This database aims to assist the generation of research on the risks, impacts, and viable solutions for reducing the seismic risk of existing multi-story concrete buildings in Wellington's Central Business District. The database includes structural, economic and market information on every building in the CDB. Its primary purpose is to inform a multi-disciplinary project whose aims are: (1) to provide best scientific knowledge about the expected seismic performance of concrete buildings; (2) to assess the impact of multiple building failures including the downstream consequences of associated cordoning; (3) to provide a path for seismic retrofitting that includes prioritization of retrofits; and (4) to inform the design of a regulatory structure that can facilitate the reduction of risk associated with earthquake vulnerable concrete buildings as described in aims (1)-(3).  
  Address Victoria University of Wellington; Victoria University of Wellington; University of Auckland; University of Auckland  
  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 1684  
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Author Min Zhu; Ruxue Chen; Shi Chen; Shaobo Zhong; Cheng Liu; Tianye Lin; Quanyi Huang; Xin Zhai pdf  isbn
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  Title (up) A Conceptual Double Scenario Model for Predicting Medical Service Needs in the International Disaster Relief Action 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 409-418  
  Keywords Disaster Relief; Medical Service Needs; Scenario Model  
  Abstract Man-made and natural disasters have affected people worldwide. Mass casualty incidents would create a surge in demand for medical services. Medical service needs are the basis of medical strategic readiness plan. In recent years, international actions have been criticized for being ill-adapted to dominating health needs of the affected region. The “Scenario-Response” modeling is an important method in disaster prediction. This research established a medical service needs scenario model with two different levels of ambition: a disaster scenario, in which casualty figure, composition of injuries are constrained by the types of the disaster as well as the degree of the damage, and a country scenario, in which the healthcare needs are constrained by the health coverage and the health condition of local people. Armed conflicts in Yemen and Syria Arab Republic were analyzed by this model. The results showed that the outcome of this model fit the reality.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track 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 2118  
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Author Dick Ooms; Willem-Jan van den Heuvel; Bartel Van de Walle pdf  isbn
openurl 
  Title (up) A Conceptual Framework for Civil-Military Interaction in Peace Support Operations 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 1003-1015  
  Keywords Civil-Military Interaction (CMI), domain modeling, process model, knowledge management, case study.  
  Abstract In complex emergencies, civil and military organizations often find themselves being partners in an international effort aimed at peace keeping, humanitarian relief, and development support. Civil and military partners need to exchange information and to cooperate as required. This assumes effective and efficient Civil-Military Interaction (CMI). However, CMI research literature shows that, in practice, this is far from a reality. In particular, our research indicates that deficiencies in knowledge processes and knowledge management within international civil and military organizations contribute to the causes of ineffective and inefficient CMI. Our research aims to investigate the feasibility of developing technical solutions exploiting knowledge engineering, to support fieldworkers in overcoming these CMI problems. As a first step, this paper introduces a Conceptual Framework (CF) that captures reference models of the CMI domain. The CF has been developed to analyze CMI problems and underlying KM deficiencies. It is being illustrated, explored and validated using real-world case studies.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Open Track Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2172  
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Author Ioan M. Ciumasu pdf  isbn
openurl 
  Title (up) A coordination lattice model for building urban resilience 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 419-427  
  Keywords Resilient communities, Social learning, Data-Information-Knowledge-Action-Result, Foresight, Planning  
  Abstract Common denominators emerge difficultly in projects bridging science and society or/and across disciplines. Managing crises require inter-organizational learning and citizen involvement, but, often such undertakings lead to bargain resulting in sub-optimal decisions. Building resilience into human communities demands complex projects, which further require good problem definition, starting with agreements on values and knowledge, as basis for further agreements on goals and methods. This paper spreads the Data-Information-Knowledge-Action-Result frame over a 4-level process to generate a DIKAR_process matrix and lattice that allows optimal orientation and coordination towards achieving a set of common denominators and coordinated action protocols. This framework allows sequences and cycles that can be formulated and pursued simultaneously, comparatively and iteratively, within any large, heterogeneous constituency of actors involved in building resilience in local communities. The model is illustrated and discussed in relation to urban sustainability issues and complementary methods like knowledge maps, mental models, social learning and scenarios.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track 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 2119  
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Author Yasir Imtiaz Syed; Raj Prasanna; S Uma; Kristin Stock; Denise Blake pdf  openurl
  Title (up) A Design Science based Simulation Framework for Critical Infrastructure Interdependency 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 516-524  
  Keywords Infrastructure, interdependency, electricity, road, restoration.  
  Abstract Critical Infrastructures (CI) such as electricity, water, fuel, telecommunication and road networks are a crucial factor for secure and reliable operation of a society. In a normal situation, most of the businesses operate on an individual infrastructure. However, after major natural disasters such as earthquakes, the conflicts and complex interdependencies among the different infrastructures can cause significant disturbances because a failure can propagate from one infrastructure to another. This paper discusses the development of an integrated simulation framework that models interdependencies between electricity and road infrastructure networks of Wellington region. The framework uses a damage map of electricity network components and integrates them with road access time to the damaged components for determining electricity outage time of a region. The results can be used for recovery planning, identification of vulnerabilities, and adding or discarding redundancies in an infrastructure network.  
  Address Institute of Natural and Mathematical Sciences, Massey University; School of Psychology, Massey University; Joint Centre for Disaster Research, Massey University; GNS Science; 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 Enhancing Resilience of Natural, Built, and Socio-economic Environment Expedition Conference  
  Notes Approved no  
  Call Number Serial 1645  
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Author Rohit Valecha; Onook Oh; H. Raghav Rao pdf  isbn
openurl 
  Title (up) A Model for Assessing Label Quality in Crowdsourced Crisis Mapping Systems: A Case of 2010 Haiti Earthquake 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 1161  
  Keywords  
  Abstract This poster is dedicated to present our research work on the application of crowd and crowdsourcing platforms to crisis situations. In particular, it focuses on crowdsourced crisis mapping solutions. Crowdsourcing has become a popular avenue of research dealing with crisis mapping systems. Crisis mapping systems enable collecting and disseminating crisis information. The contribution of this research is to create a model to assess label quality in the context of crowdsourced crisis mapping. The model was devised in three phases: (1) collection of crisis reports from a crisis mapping platform, (2) crowd-sourced empirical approach to capture labels at scale, and (3) a theory-guided approach for feature selection to create a machine learning model. In the first phase, we collected crisis reports from the Ushahidi platform during the 2010 Haiti earthquake. In the second phase, we utilized CrowdFlower – a crowdsourcing platform for labeling crisis reports based on the input from five crowd volunteers. In the third phase, we adopted situation awareness lens for selecting contextual and collaborative features.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Poster Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2196  
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Author Miriam Klein; Eric Rigaud; Marcus Wiens; Anouck Adrot; Frank Fiedrich; Nour Kanaan; Andreas Lotter; Farnaz Mahdavian; Yannic Schulte; Frank Schultmann pdf  isbn
openurl 
  Title (up) A Multi-Agent System for Studying Cross-Border Disaster Resilience 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 135-144  
  Keywords Multi-agent system, disaster resilience, coordination procedures, cross-border cooperation, volunteer management  
  Abstract Resilience to disasters depends on measures taken before, during and after the occurrence of adverse events. These measures require interactions between people belonging to different organizations (public, private, non-profit) and citizens in normal and stressful situations. The efficiency of resilience measures results from the collective interaction of individuals, groups of individuals, and organizations, as well as the situational characteristics of the decision environment. The aim of the French-German research project INCA is to develop a decision support framework for improving cross-border area resilience to disasters. This project comprises the design and the implementation of a multi-agent system with the objective to study the behavioral and organizational implications of cross-border cooperation for crisis management and disaster resilience. The analyzed measures focus on citizens who require medical support and the integration of volunteers into the crisis management procedure. This paper outlines the potentials of the multi-agent system and provides first implementation insights.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2095  
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Author Quentin Schoen; Sebastien Truptil; Matthieu Lauras; Aurelie Conges; Franck Fontanili pdf  isbn
openurl 
  Title (up) A new approach of monitoring system for Supply Chain management during crisis 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 1140-1142  
  Keywords Crisis, Supply Chain, Sensitive products, Monitoring, Real Time  
  Abstract Sensitive products supply chain and supply chain facing crisis management share several aspects. In both cases, several decision makers have to choose the best options most of the time under pressure, often in emergency and need to access numerous information from the field. This shared monitoring aspect put forward the visualization need to consider in each decision all the crisis potential impacts. Unfortunately, for the transportation steps we focus on, the current transport management systems do not reach these requirements. In this paper, focusing on supply chains during crisis situations, we present a new monitoring system with adapted functionalities. The added value is to connect in real time and relevant way the data from the field to the information on a shared model used to make reliable decisions. We use the French Blood Establishment supply chain to illustrate the proposition.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Poster Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2191  
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Author Nicoletta Baroutsi pdf  isbn
openurl 
  Title (up) A Practitioners Guide for C2 Evaluations: Quantitative Measurements of Performance and Effectiveness 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 170-189  
  Keywords Performance, Effectiveness, Evaluation, Crisis Response Management, Command & Control, Quantitative Measurements  
  Abstract Quantitative evaluations are valuable in the strive for improvements and asserting quality. However, the field of Command & Control (C2) evaluations are hard to navigate, and it is difficult to find the correct measurement for a specific situation. A comprehensive Scoping Study was made concerning measurements of C2 performance and effectiveness. A lack of an existing appropriate framework for discussing C2 evaluations led to the development of the Crisis Response Management (CRM) Matrix. This is an analysis tool that assigns measurements into categories, and each category display unique strengths, weaknesses and trends. The analysis yielded results proving to be too rich for a single article, thusly, this is the first of two articles covering the results. In this article, the Practitioners Guide focus on results valuable for someone interested in evaluating C2. Each evaluation has specific requirements that, for best result, ought to be reflected in the chosen measurement.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Command and control studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2098  
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Author Laura Laguna Salvadó; Matthieu Lauras; Tina Comes pdf  isbn
openurl 
  Title (up) A Sustainability Maturity Assessment Method for the Humanitarian Supply Chain 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 276-290  
  Keywords Sustainable performance, maturity assessment, Humanitarian Supply Chain  
  Abstract The HSC is a key element for the success of HOs relief operations. Today, the HSC performance faces many challenges: (1) the increasing gap between funding and needs; (2) donors ask for more transparency and accountability; (3) the growing urgency of switching to sustainable development is gaining ground in public opinion. Consequently, to maintain a competitive position (order winner) in the near future, considering sustainability in addition to effectiveness and efficiency to measure the performance of the operations becomes fundamental. In the literature, some authors have highlighted that the lack of Decision Support Systems difficult the planning and achievement of sustainability performance objectives in humanitarian operations. Therefore, we propose a sustainability maturity assessment method to improve the sustainability of HSC operations. Using the information gathered from IFRC field research, as well as from the literature, a proof of concept is presented to demonstrate the relevance of the proposal.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Logistics and Supply-Chain Management in Crisis Response Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2107  
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Author Firoj Alam; Ferda Ofli; Muhammad Imran; Michael Aupetit pdf  isbn
openurl 
  Title (up) A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria 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 553-572  
  Keywords social media, artificial intelligence, image processing, supervised classification, disaster management  
  Abstract People increasingly use microblogging platforms such as Twitter during natural disasters and emergencies. Research studies have revealed the usefulness of the data available on Twitter for several disaster response tasks. However, making sense of social media data is a challenging task due to several reasons such as limitations of available tools to analyze high-volume and high-velocity data streams. This work presents an extensive multidimensional analysis of textual and multimedia content from millions of tweets shared on Twitter during the three disaster events. Specifically, we employ various Artificial Intelligence techniques from Natural Language Processing and Computer Vision fields, which exploit different machine learning algorithms to process the data generated during the disaster events. Our study reveals the distributions of various types of useful information that can inform crisis managers and responders as well as facilitate the development of future automated systems for disaster management.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Social Media Studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2131  
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Author Hans Julius Betke pdf  isbn
openurl 
  Title (up) A Volunteer Coordination System Approach for Crisis Committees 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 786-795  
  Keywords spontaneous volunteers, coordination system, prototype demonstration  
  Abstract In disaster situations security authorities and organizations have the responsibility and duty to manage the disaster response. These organizations work in elaborated command and control structures with well trained employees. But in recent events, supported by new technologies like social media and mobile devices, spontaneous volunteers from the local population gained new importance as helpful force in disaster response. The high amount of volunteers bears high potentials to improve the efficiency of several activities through pure manpower. However, these people are not integrated in existing structures and lack a proper qualification. The proper coordination of spontaneous volunteers poses new challenges for disaster authorities. In this paper we introduce the prototype of a novel information system enabling crisis committees to coordinate spontaneous volunteers by semi-automated purposive communication and allocation. The results of first staff exercises are discussed to emphasize potential benefits and open challenges.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Universal Design of ICT in Emergency Management Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2151  
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Author Andrew Flaws; Chris Purchas pdf  isbn
openurl 
  Title (up) A Web GIS Tool for Disaster Waste Management Planning in New Zealand 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 272-278  
  Keywords web GIS, waste, ESRI, disaster  
  Abstract To date, the management of waste-streams generated by natural and anthropogenic disasters in New Zealand has been ad hoc, with planning largely taking place post rather than pre event. A valid reason for this is that the severity and consequences of such events varies widely, dictating the type and quantity of waste produced. To help mitigate problems caused by unplanned waste, a web GIS tool is being developed for use in a pre-event planning exercise and for developing quick early estimates of waste during an event. The tool models the amount of waste generated by different types of natural disasters, quantifying the amount of waste for different waste-streams. The user can then find the nearest suitable waste disposal location, accounting for barriers. This tool could be of great value for local government. It is flexible, so that can quickly and simply be extended to other regions and the intention is for regional councils to host the tool within their own GIS environment.  
  Address T+T; T+T  
  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 978-0-473-45447-0 Medium  
  Track Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making Expedition Conference ISCRAM Asia Pacific 2018: Innovating for Resilience - 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific  
  Notes aflaws@tonkintaylor.co.nz Approved no  
  Call Number Serial 1690  
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Author Hans Christian Augustijn Wienen; Faiza Allah Bukhsh; Eelco Vriezekolk; Roel J. Wieringa pdf  isbn
openurl 
  Title (up) 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.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track 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 Ahmed S. Khalaf; Poom Pianpak; Sultan A. Alharthi; Zahra NaminiMianji; Ruth Torres; Son Tran; Igor Dolgov; Zachary O. Toups pdf  isbn
openurl 
  Title (up) An Architecture for Simulating Drones in Mixed Reality Games to Explore Future Search and Rescue Scenarios 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 971-982  
  Keywords Mixed Reality, Drones, Simulations, Disaster Response, Search and Rescue  
  Abstract The proliferation of unmanned aerial systems (i.e., drones) can provide great value to the future of search and rescue. However, with the increase adoption of such systems, issues around hybrid human-drone team coordination and planning will arise. To address these early challenges, we provide insights into the development of testbeds in the form of mixed reality games with simulated drones. This research presents an architecture to address challenges and opportunities in using drones for search and rescue. On this architecture, we develop a mixed reality game in which human players engage with the physical world and with gameplay that is purely virtual. We expect the architecture to be useful to a range of researchers an practitioners, forming the basis for investigating and training within this unique, new domain.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Open Track Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2169  
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Author Changwon Son; Jukrin Moon; S. Camille Peres; Farzan Sasangohar pdf  isbn
openurl 
  Title (up) An Episode as a Trace of Resilient Performance in Multi-Agency Incident Management Systems 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 942-948  
  Keywords Resilience, Emergency, Incident Management, Episode Analysis  
  Abstract In order to cope with increasing complexity of catastrophic disasters, resilience is considered an essential capability of an incident management system (IMS). As resilience is manifested during systems operation, a naturalistic observational study was conducted to understand how resilient performance dynamically takes place in this domain. The study results were presented using the concept of episodes, each of which uncovers a trace of such resilient performance following an information input called an inject. The episode analysis also facilitated the identification of complex and dynamic interactions among human and technological agents to satisfy work demands, representing work-as-done (WAD) in large-scale emergency response operations.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Designing for Resilience Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2166  
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Author Jun Hu; Xueming Shu; Shiyang Tang pdf  isbn
openurl 
  Title (up) Analysis of Core Social Actors in Nine Types of Mass Incidents Based on Social Network Analysis 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 219-231  
  Keywords mass incidents, social network, social risk, cliques, core-periphery structure  
  Abstract This article studies on the cases of nine types of mass incidents happened in China during the last decade, and study the relationships among various social actors in different types of mass incidents with the methods of social networks from the perspective of relational theory. By constructing the social network of mass incidents, we statistically analyze the relationship intensity between social actors in different types of mass incidents, and calculate the centrality degrees of social actors, which can be regard as index to characterize the social risk of social actors. Meanwhile, we also analyze the cliques and “core-periphery” structure in the social network of mass incidents to get the core social actors in mass incidents, thus providing decision-making references for social leaders to effectively deal with mass incidents and improving emergency response capabilities.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Ethical, Legal and Social Issues Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2102  
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Author Jacob L. Graham; Mark B. Stephens pdf  isbn
openurl 
  Title (up) Analytic Decision Gaming – A Tool to Develop Crisis Response and Clinical Reasoning 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 60-68  
  Keywords Clinical reasoning, crisis response, medical school, scenario-based training, analytic decision game.  
  Abstract Emerging threats provide motivation to develop new methods for preparing the next generation of crisis responders. Bayesian theory shifts reasoning toward a probabilistic, epistemic paradigm, giving rise to Evans' revised heuristic-analytic theory. Researchers at The Pennsylvania State University use scenario-based training and the analytic decision game (ADG) to blend and implement these processes as foundational pedagogy for engaging, educating and training medical students as crisis responders and critical thinkers. The ADG scenarios vary by content and level of expertise, lending themselves readily adaptable to both crisis response preparation and the development of clinical reasoning. The ADG creates a virtual crisis requiring participants to engage in scenario management as role-players. For the past two years, medical students from the Penn State College of Medicine, in their first year of training, have participated in the ADG Lights Out scenario, testing community preparation and resilience after a wide-spread and months-long power outage.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2089  
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Author Stefan Schauer; Stefan Rass; Sandra König; Thomas Grafenauer; Martin Latzenhofer pdf  isbn
openurl 
  Title (up) Analyzing Cascading Effects among Critical Infrastructures 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 428-437  
  Keywords Cascading effects, interdependent critical infrastructures, Markov chains, simulation  
  Abstract In this article, we present a novel approach, which allows not only to identify potential cascading effects within a network of interrelated critical infrastructures but also supports the assessment of these cascading effects. Based on percolation theory and Markov chains, our method models the interdependencies among various infrastructures and evaluates the possible consequences if an infrastructure has to reduce its capacity or is failing completely, by simulating the effects over time. Additionally, our approach is designed to take the intrinsic uncertainty into account, which resides in the description of potential consequences a failing critical infrastructure might cause, by using probabilistic state transitions. In this way, not only the critical infrastructure's risk and security managers are able to evaluate the consequences of an incident anywhere in the network but also the emergency services can use this information to improve their operation in case of a crisis and anticipate potential trouble spots.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track 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 2120  
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Author Marcus Dombois; Timo Bittner; Uwe Rüppel pdf  isbn
openurl 
  Title (up) Approaching the criticality of information for emergency response and control center operations 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 388-397  
  Keywords Criticality analysis, information management, emergency services and procedures  
  Abstract Successful emergency response and control center operations rely on a great number of information sources. The importance of said information becomes immediately obvious if it is not available when required during an emergency situation. This can be described as the criticality of information, signifying a potential need for action to prepare for functional failures. The concept described in this paper approaches the criticality via an analysis that examines various combinations of information sources and situations in order to identify weaknesses and improve existing procedures. The proposed semi-quantitative assessment was developed taking several attributes and characteristics of criticality into account and afterwards conducted in close cooperation with emergency response institutions.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track 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 2116  
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Author Magdalena Granåsen; Mari Olsén; Per-Anders Oskarsson pdf  isbn
openurl 
  Title (up) Assessing Interorganizational Crisis Response Capability – Initial Results of a Systematic Literature 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 190-202  
  Keywords Interorganizational crisis management, capability, assessment  
  Abstract The ability to learn from crises is vital in order to strengthen the capability of societies to manage severe events. This paper presents the initial analysis of a systematic literature review regarding capability assessment of inter-organizational crisis management systems. Inter-organizational crisis management capability is a diverse concept, touching on several related concepts such as resilience, situation awareness and operational performance. During a systematic review process 73 publications were identified. The different aspects of crisis management capability found in the publications were clustered, using an exploratory approach. Nine thematic clusters were identified: interaction, relationships, coordination/C2, system performance, preparedness, situation awareness, resilience, decision making and information infrastructure. A conclusion is that crisis response capability encompasses a multitude of aspects associated with a wide range of assessment methods. The identified publications to a large extent explored aspects of collaboration and coordination, while the actual outcome (system performance) was less explored.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Command and control studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2099  
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Author Shane Errol Halse; Aurélie Montarnal; Andrea Tapia; Frederick Benaben pdf  isbn
openurl 
  Title (up) Bad Weather Coming: Linking social media and weather sensor data 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 507-515  
  Keywords Twitter; weather; sensor data; social media  
  Abstract In this paper we leverage the power of citizen supplied data. We examined how both physical weather sensor data (obtained from the weather underground API) and social media data (obtained from Twitter) can serve to improve local community awareness during a severe weather event. A local tornado warning was selected due to its small scale and isolated geographic area, and only Twitter data found from within this geo-locational area was used. Our results indicate that during a severe weather event, an increase in weather activity obtained from the local weather sensors does correlate with an increase in local social media usage. The data found on social media also contains additional information from, and about the community of interest during the event. While this study focuses on a small scale event, it provides the groundwork for use during a much larger weather event.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Social Media Studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2127  
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Author Anastasios Karakostas; Stefanos Vrochidis; Yiannis Kompatsiaris; Boris Kantsepolsky; Jürgen Moßgraber; Stamatia Dasiopoulou; Benjamin Mandler; Ari Karppinen; Michele Ferri; Iosif Vourvachis; Carmen Castro; Kim Lintrup pdf  isbn
openurl 
  Title (up) beAWARE: Enhancing Decision Support and Management Services in Extreme Weather Climate Events 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 1136-1139  
  Keywords Crisis management, Early warning system, PSAP  
  Abstract In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. The main goal of beAWARE framework is to provide support in all the phases of an emergency incident. More specifically, we propose an integrated solution to support forecasting, early warnings, transmission and routing of the emergency data, aggregated analysis of multimodal data and management the coordination between the first responders and the authorities.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Poster Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2190  
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Author Briony Gray; Mark Weal; David Martin pdf  isbn
openurl 
  Title (up) Building Resilience in Small Island Developing States: Social Media during the 2017 Atlantic Hurricane Season 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 469-479  
  Keywords Social Media, Hurricanes, Resiliency, Community Engagement, SIDS  
  Abstract There are growing concerns that future Atlantic hurricane seasons will be severe and unpredictable due to underlying factors such as climate change. The 2017 season may offer a range of lessons, especially to small island developing states (SIDS), who are looking to build community resilience and heighten community engagement to cope with disaster. While many SIDS utilise a range of media and technology for these purposes, there has been a recent uptake in the use of social media, which may have further potential to support their goals. This paper scopes the use and users of social media in the case of Antigua and Barbuda during the 2017 Atlantic hurricane season. Through a series of qualitative interviews it explains the role that social media currently has, and concludes with suggestions for its improvement in future seasons that are contextualized over the disaster lifecycle phases.  
  Address University of Southampton; University of Southampton; University of Southampton  
  Corporate Author Thesis  
  Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-0-473-45447-0 Medium  
  Track Social Media and Community Engagement Supporting Resilience Building Expedition Conference ISCRAM Asia Pacific 2018: Innovating for Resilience - 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific  
  Notes bjg1g11@soton.ac.uk Approved no  
  Call Number Serial 1688  
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