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	Author	Grégoire Burel; Harith Alani
	Title	Crisis Event Extraction Service (CREES) – Automatic Detection and Classification of Crisis-related Content on Social Media			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	597-608
	Keywords	Event Detection, Word Embeddings, Deep Learning, Convolutional Neural Networks, API
	Abstract	Social media posts tend to provide valuable reports during crises. However, this information can be hidden in large amounts of unrelated documents. Providing tools that automatically identify relevant posts, event types (e.g., hurricane, floods, etc.) and information categories (e.g., reports on affected individuals, donations and volunteering, etc.) in social media posts is vital for their efficient handling and consumption. We introduce the Crisis Event Extraction Service (CREES), an open-source web API that automatically classifies posts during crisis situations. The API provides annotations for crisis-related documents, event types and information categories through an easily deployable and accessible web API that can be integrated into multiple platform and tools. The annotation service is backed by Convolutional Neural Networks (CNNs) and validated against traditional machine learning models. Results show that the CNN-based API results can be relied upon when dealing with specific crises with the benefits associated with the usage word embeddings.
	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	2134
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	Author	Grégoire Burel; Lara S. G. Piccolo; Kenny Meesters; Harith Alani
	Title	DoRES -- A Three-tier Ontology for Modelling Crises in the Digital Age			Type	Conference Article
	Year	2017	Publication	Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2017
	Volume		Issue		Pages	834-845
	Keywords	Crisis Ontology; Situation Awareness; Emergency Model; Events; Reports
	Abstract	During emergency crises it is imperative to collect, organise, analyse and share critical information between individuals and humanitarian organisations. Although dierent models and platforms have been created for helping these particular issues, existing work tend to focus on only one or two of the previous matters. We propose the DoRES ontology for representing information sources, consolidating it into reports and then, representing event situation based on reports. Our approach is guided by the analysis of 1) the structure of a widely used situation awareness platform; 2) stakeholder interviews, and; 3) the structure of existing crisis datasets. Based on this, we extract 102 dierent competency questions that are then used for specifying and implementing the new three-tiers crisis model. We show that the model can successfully be used for mapping the 102 dierent competency questions to the classes, properties and relations of the implemented ontology.
	Address	Knowledge Media Institute (KMi), The Open University, Milton Keynes, United Kingdom; Centre for Integrated Emergency Management (CIEM), University of Agder Kristiansand, Norway
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Albi, France	Editor	Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN		Medium
	Track	New Technologies for Crisis Management	Expedition		Conference	14th International Conference on Information Systems for Crisis Response And Management
	Notes				Approved	no
	Call Number				Serial	2069
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	Author	Guillaume Lambert; Bruno Fontaine; Michel Monneret; Mourad Madani
	Title	How to build an innovative C2 system supporting individual-centric emergency needs ?			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	Emergency hub, personalization, cloud, NG112, AI.
	Abstract	The paper describes the need for, and work in progress to provide the French population with a modern emergency communication infrastructure that uses open source components to deliver real time communications from smart phones as well as traditional routes. The article puts forward the vision of the NexSIS 18-112 project aimed at designing and implementing the next generation AI enhanced emergency services response platform for France. The vision and ambition of the NexSIS 18-112 system is to rewrite the command and control system from scratch at a national level, providing it with state of the art functionalities. Anticipating the future deployment of 5G networks, the work described in the article explains how to ensure the transition of the legacy emergency operation systems to an operational IPbased model, capable of offering voice, video, Instant Messaging, and Real Time Text (RTT) services to emergency services? operators.
	Address	French Ministry of Interior, France;ToMCo, digital strategy advisor
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T5- Intelligent and Semantic Web Systems	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1907
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	Author	Guillermo Romera Rodriguez
	Title	Parler, Capitol Riots, Alt-Right and Radicalization in Social Media			Type	Conference Article
	Year	2023	Publication	Proceedings of the ISCRAM Asia Pacific Conference 2022	Abbreviated Journal	Proc. ISCRAM AP 2022
	Volume		Issue		Pages	268-277
	Keywords	Social Media; Parler; Sentiment Analysis; Alt-Right
	Abstract	Social media platforms have risen in popularity since their inception. These platforms have since then come to be at the forefront of controversies, from being accused of election interference to, more recently, disseminating fake news and campaigns to sway political behavior. One such episode took place on January 6 when a group of individuals stormed the United States Capitol, and the social media platform Parler came under scrutiny. The platform was accused of being a place for right-wing extremists and Trump supporters who claimed the 2020 election was fraudulent. Initial reports suggested these individuals used Parler to organize and call others to action. This paper explores the feasibility of using social media to detect alt-right radicalization and examines its possible relation to the Capitol Insurrection and Parler. Moreover, we examine if those events could have been detected and averted through the investigation of the platform.
	Address	Pennsylvania State University; Pennsylvania State University; Pennsylvania State University
	Corporate Author				Thesis
	Publisher	Massey Unversity	Place of Publication	Palmerston North, New Zealand	Editor	Thomas J. Huggins, V.L.
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-473-66845-7	Medium
	Track	Social Media for Disaster Response	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2500
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	Author	Guoqin Ma; Chittayong Surakitbanharn
	Title	Predicting Hurricane Damage Using Social Media Posts Coupled with Physical and Socio-Economic Variables			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	Social media, disaster management, damage prediction
	Abstract	During a natural disaster or emergency event, individual social media posts or hot spots may not necessarily correlate to the most devastated areas. To better understand the correlation between social media and physical damage, we compare Tweets, data about the physical environment, and socio-economic factors with insurance claim information (as a proxy for physical damage) from 2017 Hurricane Irma in the state of Florida. We use machine learning to identify relevant Tweets, sensitivity analyses to identify socio-economic factors, and statistical regression to determine the predictive capability of insurance claims as a proxy for damage. We find that Tweets alone result in a poorly fitted regression model of insurance claims, but the inclusion of physical features (e.g., power outages, wind level) and socio-economic factors (e.g., population density, education, Internet access) improves the model?s fit. Such models contribute to the knowledge base that may allow social media to predict damage in real-time.
	Address	Stanford University, United States of America
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T8- Social Media in Crises and Conflicts	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1955
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	Author	Hafiz Budi Firmansyah; Jesus Cerquides; Jose Luis Fernandez-Marquez
	Title	Ensemble Learning for the Classification of Social Media Data in Disaster Response			Type	Conference Article
	Year	2022	Publication	ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2022
	Volume		Issue		Pages	710-718
	Keywords	Ensemble learning; image classification; social media; disaster response
	Abstract	Social media generates large amounts of almost real-time data which has proven valuable in disaster response. Specially for providing information within the first 48 hours after a disaster occurs. However, this potential is poorly exploited in operational environments due to the challenges of curating social media data. This work builds on top of the latest research on automatic classification of social media content, proposing the use of ensemble learning to help in the classification of social media images for disaster response. Ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. Experimental results show that ensemble learning is a valuable technology for the analysis of social media images for disaster response,and could potentially ease the integration of social media data within an operational environment.
	Address	Citizen Cyberlab, CUI, University of Geneva, Switzerland; Citizen Cyberlab, CUI, University of Geneva, Switzerland; IIIA-CSIC, Barcelona, Spain
	Corporate Author				Thesis
	Publisher		Place of Publication	Tarbes, France	Editor	Rob Grace; Hossein Baharmand
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-82-8427-099-9	Medium
	Track	Social Media for Crisis Management	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2450
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	Author	Hager, F.; Reuter-Oppermann, M.; Müller, T.; Ottenburger, S.
	Title	Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	565-574
	Keywords	Mass-Casualty Incidents; Simulation, Multicriteria Decision Making
	Abstract	In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility. Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany
	Address	Technical University of Darmstadt; Karlsruhe Institute of Technology
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/SUZB3855			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2547
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	Author	Haiyan Hao; Yan Wang
	Title	Hurricane Damage Assessment with Multi-, Crowd-Sourced Image Data: A Case Study of Hurricane Irma in the City of Miami			Type	Conference Article
	Year	2020	Publication	ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2020
	Volume		Issue		Pages	825-837
	Keywords	Computer Vision, Damage Assessment, Disaster Management, Insurance Claims, Social Networking Platforms.
	Abstract	The massive crowdsourced data generated on social networking platforms (e.g. Twitter and Flickr) provide free, real-time data for damage assessment (DA) even during catastrophes. Recent studies leveraging crowdsourced data for DA mainly focused on analyzing textual formats. Crowdsourced images can provide rich and objective information about damage conditions, however, are rarely researched for DA purposes. The highly-varied content and loosely-defined damage forms make it difficult to process and analyze the crowdsourced images. To address this problem, we propose a data-driven DA method based on multi-, crowd-sourced images, which includes five machine learning classifiers organized in a hierarchical structure. The method is validated with a case study investigating the damage condition of the City of Miami caused by Hurricane Irma. The outcome is then compared with a metric derived from NFIP insurance claims data. The proposed method offers a resource for rapid DA that supplements conventional DA methods.
	Address	University of Florida; University of Florida
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Amanda Hughes; Fiona McNeill; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-27-73	ISBN	2411-3459	Medium
	Track	Social Media for Disaster Response and Resilie	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	hhao@ufl.edu			Approved	no
	Call Number				Serial	2274
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	Author	Hannah Van Wyk; Kate Starbird
	Title	Analyzing Social Media Data to Understand How Disaster-Affected Individuals Adapt to Disaster-Related Telecommunications Disruptions			Type	Conference Article
	Year	2020	Publication	ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2020
	Volume		Issue		Pages	704-717
	Keywords	Telecommunications, Adaptations, Social Media, Cellular Phone Service, Wi-Fi Access.
	Abstract	Information is a critical need during disasters such as hurricanes. Increasingly, people are relying upon cellular and internet-based technology to communicate that information--modalities that are acutely vulnerable to the disruptions to telecommunication infrastructure that are common during disasters. Focusing on Hurricane Maria (2017) and its long-term impacts on Puerto Rico, this research examines how people affected by severe and sustained disruptions to telecommunications services adapt to those disruptions. Leveraging social media trace data as a window into the real-time activities of people who were actively adapting, we use a primarily qualitative approach to identify and characterize how people changed their telecommunications practices and routines--and especially how they changed their locations--to access Wi-Fi and cellular service in the weeks and months after the hurricane. These findings have implications for researchers seeking to better understand human responses to disasters and responders seeking to identify strategies to support affected populations.
	Address	University of Washington; University of Washington
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Amanda Hughes; Fiona McNeill; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-27-64	ISBN	2411-3450	Medium
	Track	Social Media for Disaster Response and Resilie	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	hcvw@uw.edu			Approved	no
	Call Number				Serial	2265
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	Author	Hanne Haaland; Hege Wallevik; Erika Frydenlund; Jose J. Padilla
	Title	Modelers and Ethnographers as Co-Creators of Knowledge: Do We Belong Together?			Type	Conference Article
	Year	2020	Publication	ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2020
	Volume		Issue		Pages	1113-1121
	Keywords	Social Sciences; Modeling; Interdisciplinarity; Citizen-Based Humanitarian Aid; Refugees; Lesvos; Citizen Initiatives for Global Solidarity (CIGS); Prototype Agent-Based Model
	Abstract	In this paper, we explore the process of co-creation of knowledge between modelers and ethnographers through a project focusing on the role played by CIGS (Citizen initiatives for global solidarity) in the refugee crisis in the island of Lesvos, Greece. We describe the process of collaboration and discuss what this type of interdisciplinary collaboration may bring to the development of a research topic when the initial skepticism and questions of epistemological differences have been overcome. Moreover, we address some of the challenges embedded in this type of research collaboration, particularly the skepticism present within the social sciences.
	Address	University of Agder, Norway; University of Agder, Norway; Old Dominion University, US; Old Dominion University, US
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Amanda Hughes; Fiona McNeill; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-27-100	ISBN	2411-3486	Medium
	Track	Visions for Future Crisis Management	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	Hanne.haaland@uia.no			Approved	no
	Call Number				Serial	2301
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	Author	Hannes Restel; Eridy Lukau; Sebastian Sterl; Lars Gerhold
	Title	Detecting Covid-19 Relevant Situations using Privacy-by-Design based Mobile Experience Sampling			Type	Conference Article
	Year	2022	Publication	ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2022
	Volume		Issue		Pages	506-527
	Keywords	Mobile Experience Sampling Method; in-situ frames; Covid-19; Privacy-by-Design; risk perception
	Abstract	To observe psychosocial effects of the Covid-19 pandemic on the population, multiple retrospective studies have been performed in Germany. However, this approach may lead to response bias regarding affective and cognitive processes as it fails to capture situations as they occur (‘in situ’). Identifying those situations in daily life where individuals are emotionally and cognitively affected by Covid-19 can provide valuable insights for mobile experience sampling method studies (MESM) that evaluate participants’ affective and cognitive processes. This study presents an MESM solution (a self-developed smartphone app and server backend) to detect Covid-19 induced ‘in-situ frames’ which was successfully used in a long-term psychosocial study in Berlin (Germany) from November 2021 to January 2022. As highly sensitive personal data (e.g., emotional state, vaccination status and infection state, socio-demographics) have been collected, the solution places a strong emphasis on privacy, pseudo-anonymization, data-minimization, and security. To support long-time motivation for the participants, good usability and user experience containing gamification elements were also realized. The results indicate that Covid-19-related situations expressed by means of a high emotional risk perception could be identified even though participants located themselves in “rather Covid-19 free” private spaces.
	Address	Fraunhofer FOKUS; Freie Universitaet Berlin
	Corporate Author				Thesis
	Publisher		Place of Publication	Tarbes, France	Editor	Rob Grace; Hossein Baharmand
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-82-8427-099-9	Medium
	Track	Disaster Public Health & Healthcare Informatics in the Pandemic	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2436
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	Author	Hans C.A. Wienen; Faiza A. Bukhsh; Eelco Vriezekolk; Roel J. Wieringa
	Title	Applying Generic AcciMap to a DDOS Attack on a Western-European Telecom Operator			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	Telecommunications, AcciMap, accident analysis, incident analysis
	Abstract	After a large incident on a telecommunications network, the operator typically executes an incident analysis to prevent future incidents. Research suggests that these analyses are done ad hoc, without a structured approach. In this paper, we conduct an investigation of a large incident according to the AcciMap method. We find that this method can be applied to telecommunications networks with a few small changes; we find that such a structured approach yields many more actionable recommendations than a more focused approach and we find that both the onset of an incident and the resolution phase merit their own analysis. We also find that such an analysis costs a lot of effort and we propose a more efficient approach to using this method. An unexpected outcome was that AcciMap may also be very useful for analyzing crisis organizations.
	Address	University of Twente, Netherlands, The;Agentschap Telecom, The Netherlands
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T7- Planning, Foresight and Risk Analysis	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1925
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	Author	Hans Christian Augustijn Wienen; Faiza Allah Bukhsh; Eelco Vriezekolk; Roel J. Wieringa
	Title	Accident Analysis Methods and Models – a Systematic Review			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	398-408
	Keywords	Accident Analysis Methods and Models – a Systematic Review
	Abstract	After a risk has manifested itself and has led to an accident, valuable lessons can be learned that can be taken into account to reduce the risk of a similar accident occurring again. This calls for accident analysis methods. In the past 20 years a large number of accident analysis methods have been proposed and it is difficult to find the right method to apply in a specific circumstance. We conducted a review of the state of the art of accident analysis methods and models across domains. We classify the models using the well-known categorization into sequential, epidemiological and systemic methods. We find that these classes have their own characteristics in terms of speed of application versus pay-off. For optimum risk reduction, methods that take organizational issues into account can add valuable information to the risk management process in an organization.
	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	Hans J Scholl; Karyn Hubbell; Jeff Leonard
	Title	Communications and Technology Challenges to Situational Awareness: Insights from the CR16 Exercise			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	28-43
	Keywords
	Abstract	Saving and sustaining lives, stabilizing the incident, and protecting both environment and property from further damage are professional responders' first and foremost objectives when responding to any incident including a catastrophic one. For so doing, responders need to gain situational awareness (SA) so to effectively direct the response. Yet, in a catastrophic incident, critical infrastructures including response assets are damaged and disrupted, which leaves responders without the badly needed complete and verified information for days and even weeks. Critical communication and technology infrastructures used by responders are among those damaged and disrupted critical assets leading to both incomplete SA and a distorted common operating picture (COP). The lack of clear and comprehensive SA/COP and the disruption of communications and technology infrastructures seriously impedes incident commanders from efficiently directing the response effort. This study reports on communication and technology-relatedchallenges that emergency responders faced with regard to situational awareness in a recent large-scale exercise under the name of Cascadia Rising 2016 (CR16). The exercise involved a total of 23,000 active participants. Over four days in June of 2016, CR16 simulated the coordinated response to a rupture of the 800-mile Cascadia Subduction Zone resulting in a magnitude-9 earthquake and tsunami similar to the catastrophic incident in Eastern Japan in 2011. Responders at all levels were severely challenged, and the exercise revealed major vulnerabilities in critical communication and technology infrastructures. Situational awareness was very difficult to establish.
	Address	University of Washington; University of Washington; University of Washington
	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	Resilience to cope with the unexpected	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1651
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	Author	Hans Jochen Scholl; Sarah L. Carnes
	Title	Managerial Challenges in Early Disaster Response: The Case of the 2014 Oso/SR530 Landslide Disaster			Type	Conference Article
	Year	2017	Publication	Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2017
	Volume		Issue		Pages	961-972
	Keywords	Incident Command System (ICS); National Incident Management System (NIMS); coordination challenges; resource challenges; training and preparedness challenges; collaboration; communication and information sharing
	Abstract	The larger the scale, scope, and duration of a disaster, the higher is the number of response units. However, with more units involved in the response also the heterogeneity of responder units drastically increases in terms of capabilities, experiences, practices, techniques, tactics, and procedures. As a result, the coordination and overall management of the response becomes an increasingly challenging endeavor. In the response to the 2014 Oso/SR530 landslide disaster in Washington State over one hundred agencies were involved, which presented a huge coordination task for the incident command. This empirical study is exploratory and focuses on the activities and interactions of professional responders, particularly, in the early phases of the response. It amends and complements previous studies on the subject by identifying and describing in detail various challenges in the early response. It also discusses recommendations on how to tackle and potentially mitigate the challenges identified in future responses.
	Address	University of Washington
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Albi, France	Editor	Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN		Medium
	Track	Response and Recovery	Expedition		Conference	14th International Conference on Information Systems for Crisis Response And Management
	Notes				Approved	no
	Call Number				Serial	2080
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	Author	Hans Julius Betke
	Title	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	Harrasi, A.A.; Grispos, G.; Gandhi, R.
	Title	Using Cybersecurity Testbeds to Evaluate (In)Secure Structural Health Monitoring Systems			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	902-908
	Keywords	Cybersecurity; Structural Health Monitoring Systems; Incident Response; Testbed
	Abstract	An increasing amount of technology is being integrated into bridges and other structures, such as dams and buildings, to proactively look for signs of deterioration or damage. These technologies are collectively known as structural health monitoring systems. While the benefits of integrating this technology are attractive, this integration is also creating an environment that is conducive to security vulnerabilities. While previous research has focused on the broader cybersecurity challenges associated with structural health monitoring systems, limited guidance is available for identifying specific security vulnerabilities in these systems and their implications for responding to security incidents. Hence, this paper presents CYBRBridge, a cybersecurity testbed that provides a sacrificial environment to assist in identifying and exploring vulnerabilities associated with structural health monitoring systems. This paper reports ongoing research efforts to develop the CYBRBridge testbed and initial results identifying vulnerabilities within the wireless components of a commercial structural health monitoring system
	Address	University of Nebraska at Omaha; University of Nebraska at Omaha; University of Nebraska at Omaha
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Cybersecurity and Emergency Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/CPXU9228			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2574
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	Author	Harrison Cole
	Title	Accessible Mitigation Planning: Tactile Hazard Map Design and Evaluation			Type	Conference Article
	Year	2020	Publication	ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2020
	Volume		Issue		Pages	1031-1037
	Keywords	Cartography; Accessibility; Disability; Tactile; Mitigation Planning
	Abstract	While creating a community hazard mitigation plan (HMP) has become recognized as a key component of successful disaster management, significant portions of the process are often inaccessible to people with vision disabilities. Maps in particular are often large, visually dense documents that are printed on two-dimensional paper, or distributed via PDF with no alternate text. For people with profound low vision or who are blind, alternative media is required. The research discussed here proposes that tactile maps may present an accessible and cost-effective medium for representing geospatial data relevant to the hazard mitigation planning process. Using flood insurance rate maps (FIRMs) distributed by the Federal Emergency Management Agency (FEMA) as a starting point, this paper proposes an evaluatory framework for transcribing conventional maps into tactile documents, as well as characterizing users' experiences using them for mitigation planning, directions for future research and generalizing the process for applications in other domains.
	Address	The Pennsylvania State University
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Amanda Hughes; Fiona McNeill; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-27-93	ISBN	2411-3479	Medium
	Track	Usability and Universal Design of ICT for Emergency Management	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	harrisoncole@psu.edu			Approved	no
	Call Number				Serial	2294
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	Author	Haya Aldossary; Graham Coates
	Title	Multi-objective Optimization for Coordinating Emergency Resources in Multiple Mass Casualty Incidents			Type	Conference Article
	Year	2021	Publication	ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2021
	Volume		Issue		Pages	1015-1027
	Keywords	Co-ordination, Neighborhood Search Algorithm, Optimization, Scheduling
	Abstract	Effective co-ordination between resource-constrained emergency services during multiple mass casualty incidents (MCIs) plays a significant role in the response phase. In such a case, the co-ordination problem needs to be solved, namely the allocation of responders-to-incidents, responders-to-casualties, vehicles to travel to casualties at incidents and transport casualties to hospitals, and task assignment to responders and vehicles. A Neighborhood Search Algorithm (NSA) is employed to solve the co-ordination problem with the aim of reducing the suffering of casualties, with varying injuries and health classifications. An application of the NSA is enabled using a hypothetical case study of MCIs including three scenarios in a major urban area of the UK. The experiments conducted show the effectiveness of using different approaches to generate an initial response plan, and the performance of the NSA in developing a final optimized plan.
	Address	Newcastle University; Newcastle University
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-61-5	ISBN		Medium
	Track	Other	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	h.aldossary2@newcastle.ac.uk			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2393
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	Author	Haya Aldossary; Graham Coates
	Title	A Preliminary Optimisation-based Approach to Coordinate the Response of Ambulances in Mass Casualty Incidents			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	MCIs, Optimization-based approach, Co-ordination, Emergency response.
	Abstract	Mass Casualty Incidents (MCIs) may occur with no notice and require a rapid response to manage the casualties and arrange their transportation to hospitals. MCIs may result in different numbers of casualties and fatalities. Further, response time can play a crucial role in reducing fatalities and protecting lives. This paper reports on a preliminary optimisation-based approach, termed MCIER, which has been developed to co-ordinate the response of ambulances to multiple MCIs. In this approach, a realistic representation of the road network is modelled for the geographical area of interest. Also, a Neighbourhood Search Algorithm (NSA) has been developed in order to find the optimum solution to the problem under consideration. A hypothetical case study of a MCI in Newcastle-upon-Tyne has been considered to investigate the effect on response time of the time of day, and day of week, on which the incident occurs.
	Address	Newcastle University, United Kingdom
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T1- Analytical Modeling and Simulation	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1952
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	Author	Hemant Purohit; Jennifer Chan
	Title	Classifying User Types on Social Media to inform Who-What-Where Coordination during Crisis Response			Type	Conference Article
	Year	2017	Publication	Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2017
	Volume		Issue		Pages	656-665
	Keywords	User Classification, Social Media, Crisis Coordination, Organization, Organization-affiliated
	Abstract	Timely information is essential for better dynamic situational awareness, which leads to efficient resource planning, coordination, and action. However, given the scale and outreach of social media�a key information sharing platform during crises, diverse types of users participate in discussions during crises, which affect the vetting of information for dynamic situational awareness and response coordination activities. In this paper, we present a user analysis on Twitter during crises for three major user types�Organization, Organizationaffiliated (a person�s self-identifying affiliation with an organization in his/her profile), and Non-affiliated (person not identifying any affiliation), by first classifying users and then presenting their communication patterns during two recent crises. Our analysis shows distinctive patterns of the three user types for participation and communication on social media during crises. Such a user-centric approach to study information sharing during crisis events can act as a precursor to deeper domain-driven content analysis for response agencies.
	Address
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Albi, France	Editor	Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
	Language	Englisg	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN		Medium
	Track	Social Media Studies	Expedition		Conference	14th International Conference on Information Systems for Crisis Response And Management
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2200
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	Author	Hemant Purohit; Kathleen Moore
	Title	The Digital Crow's Nest: A Framework for Proactive Disaster Informatics & Resilience by Open Source Intelligence			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	949-958
	Keywords	Resilience, Emergency management, Crisis Management, Indicator Analysis, Open Source Intelligence
	Abstract	The research on technology-assisted crisis management has primarily existed for two decades since 9/11. Although, the focus of technology research has been centered around tools to assist the response phase after a disaster. There has been a lack of emphasis on the role and design of technologies to assist the other phases of the crisis management cycle, particularly preparedness and mitigation phases to lead towards the vision of building resilient communities. In this paper, we first identify resilience characteristics of a community from the prior literature. We then analyze a co-occurrence network of concepts in the ISCRAM publications to validate the gap in relating technologies to resilience and conduct an indicator analysis of factors for proactive disaster informatics via a case study of recent disaster. Our analysis leads us to propose a conceptual framework “Digital Crow's Nest” based on Open Source Intelligence to improve the technology design for community resilience.
	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	2167
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	Author	Henke, S.; Widera, A.; Hellingrath, B.
	Title	Evaluation-driven Disaster Management Exercises: A Collaborative Toolkit			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	989-999
	Keywords	Disaster Management Exercise; Evaluation; Learning; Collaboration
	Abstract	Disaster management exercises are a core component of humanitarian organizations’ preparedness strategies. They entail diverse purposes, from training capabilities of participants to testing response plans to enhancing collaboration between organizations and many more. However, it is uncertain how much exercises contribute to preparedness. Rigorous evaluation is needed to exploit learning opportunities of an exercise. Therefore, exercises must target evaluable objectives, which is complicated by the socio-technical openness of the exercise system, the heterogeneity of organizational needs, and the scarcity of resources. Many different tools aim to support evaluation but are limited to specific use cases, resulting in a fragmented overview for practitioners. Due to the excessive effort involved, practitioners often consider exercise evaluation to be of secondary importance. This study thus proposes the conceptual design of a combined toolkit that supports the practitioners in a more rigorous but resource-efficient evaluation to make disaster management exercises more evaluation-driven.
	Address	Chair of Information Systems and Supply Chain Management, University of Münster; Chair of Information Systems and Supply Chain Management, University of Münster; Chair of Information Systems and Supply Chain Management, University of Münster
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Open Track	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/PSIX3279			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2582
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	Author	Henrik Berndt; Daniel Wessel; Lennard Willer; Michael Herczeg; Tilo Mentler
	Title	Immersion and Presence in Virtual Reality Training for Mass Casualty Incidents			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	806-817
	Keywords	User-Centered Design, Virtual Reality Training Simulations, Mass Casualty Incidents, Immersion, Presence
	Abstract	Preparation for mass casualty incidents (MCIs) is highly important but difficult to accomplish. Incidents are rare, often complex, and training is costly. However, with the development of consumer grade virtual reality (VR) hardware, immersive training simulations have become affordable for competency training. To make simulations effective, users have to be immersed and feel present in the simulation. We have developed a VR training system for MCIs in a user centered design process with emergency personnel and further improved the system to increase immersion and presence. In an evaluation with eighteen paramedic trainees, we compare six hypothesized design improvements between the two simulations, such as using a menu or a simulated emergency bag for interaction. Results indicate clear user preferences of interaction styles related to immersion and presence in MCI VR simulations.
	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	Case studies and reflections from practice	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2153
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	Author	Henrique Romano Correia; Ivison da Costa Rubim; Angelica F.S. Dias; Juliana B.S. França; Marcos R.S. Borges
	Title	Drones to the Rescue: A Support Solution for Emergency Response			Type	Conference Article
	Year	2020	Publication	ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2020
	Volume		Issue		Pages	904-913
	Keywords	Emergency, Information System, Collaborative Systems, Decision-making Drones.
	Abstract	Emergency is a threatening condition that requires urgent action, an effective response and within an emergency scenario there may be risks for responders, as well as for those affected. Response time is crucial for affected individuals and environments to be addressed on their needs. In this context, the goal of this work is to support the agents involved in the emergency response, through an application-supported collaborative solution using drones. This solution aims to collect information from the worked emergency scenario, so that, through the collaboration of specialists, there is a greater support for the decision-making made by the responsible agents within this scenario, causing it to occur in a shorter time, thus speeding up the response to the emergency. In this work, the aim was to validate with experts from the Rio de Janeiro Firefighters, who already work with drones, by evaluating the utility of the solution in real scenarios.
	Address	Department of Computer Science – Universidade Federal do Rio de Janeiro, Brazil; Post-graduation Program in Informatics (PPGI) – Universidade Federal do Rio de Janeiro, Brazil; Post-graduation Program in Informatics (PPGI) – Universidade Federal do Rio de Janeiro, Brazil; Department of Computer Science – Federal Rural University of Rio de Janeiro, Brazil; Post-graduation Program in Informatics (PPGI) – Universidade Federal do Rio de Janeiro, Brazil, TECNUN, University of Navarra, Donostia, San Sebastián, Spain
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Amanda Hughes; Fiona McNeill; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-27-80	ISBN	2411-3466	Medium
	Track	Technologies for First Responders	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	henriquercorreia@gmail.com			Approved	no
	Call Number				Serial	2281
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