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	Author	Anastasia Moumtzidou; Marios Bakratsas; Stelios Andreadis; Anastasios Karakostas; Ilias Gialampoukidis; Stefanos Vrochidis; Ioannis Kompatsiaris
	Title	Flood detection with Sentinel-2 satellite images in crisis management systems			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	1049-1059
	Keywords	Floods, Change Detection, Bi-temporal Analysis, Sentinel-2, Deep Neural Networks.
	Abstract	The increasing amount of falling rain may cause several problems especially in urban areas, which drainage system can often not handle this large amount in a short time. Confirming a flooded scene in a timely manner can help the authorities to take further actions to counter the crisis event or to get prepared for future relevant incidents. This paper studies the detection of flood events comparing two successive in time Sentinel-2 images, a method that can be extended for detecting floods in a time-series. For the flood detection, fine-tuned pre-trained Deep Convolutional Neural Networks are used, testing as input different sets of three water sensitive satellite bands. The proposed approach is evaluated against different change detection baseline methods, based on remote sensing. Experiments showed that the proposed method with the augmentation technique applied, improved significantly the performance of the neural network, resulting to an F-Score of 62% compared to 22% of the traditional remote sensing techniques. The proposed method supports the crisis management authority to better estimate and evaluate the flood impact.
	Address	Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece;
	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	978-1-949373-27-95	ISBN	2411-3481	Medium
	Track	Using Artificial Intelligence to exploit Satellite Data in Risk and Crisis Management	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	moumtzid@iti.gr			Approved	no
	Call Number				Serial	2296
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	Author	Andreas Lotter; Philipp John; Patricia Schütte; Florian Brauner; Frank Fiedrich
	Title	Field Observation of Parallel Working Coordination Groups and Command and Control Centres to Understand and Improve Inter-organizational Information Management – A Methodical Approach			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	303-314
	Keywords	Information Management, Field Observation, Coordination Groups, Command and Control Centres, Risk and Crisis Management.
	Abstract	In emergency response, parallel working coordination groups and command and control centres are responsible to deal with complex events. A well-functioning exchange of information between organizations, officials and these coordination groups is the basis for an efficient risk management. This paper describes a methodical ap-proach for field observation to understand and improve the inter-organizational information management be-tween the involved partners. The method was tested within a practical approach and possible occurring problems during the observation were identified and solutions for these problems are provided.
	Address	University of Wuppertal, Germany; University of Wuppertal, Germany; University of Wuppertal, Germany; Kölner Verkehrs-Betriebe AG; University of Wuppertal, Germany
	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	978-1-949373-27-30	ISBN	2411-3416	Medium
	Track	Command & Control Studies	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	lotter@uni-wuppertal.de			Approved	no
	Call Number				Serial	2231
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	Author	Andrew Arnette; Christopher W. Zobel; Duygu Pamukcu
	Title	Post-Impact Analysis of Disaster Relief Resource Pre-Positioning After the 2013 Colorado Floods			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	237-243
	Keywords	Disaster Operations Management; Facility Location; Humanitarian Operations
	Abstract	Pre-positioning of supplies is important to facilitate disaster relief operations, however it is only after a disaster event occurs that the effectiveness of the pre-positioning strategy can be properly assessed. With this in mind, this paper analyzes a risk-based pre-positioning algorithm, developed for the American Red Cross, in the context of its actual performance in the 2013 Colorado Front Range floods. The paper assesses the relative effectiveness of the pre-positioning approach with respect to historical asset placements, and it discusses changes to the model that are necessary to support such comparisons and allow for further model extensions.
	Address	University of Wyoming; Virginia Tech; Virginia Tech
	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	978-1-949373-27-23	ISBN	2411-3409	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	aarnette@uwyo.edu			Approved	no
	Call Number				Serial	2224
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	Author	Andrew Marinik; Ludwig Gantner; Scott Fritz; Sean Smith
	Title	Developing Performance Metrics of an Emergency Notification System			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	663-668
	Keywords	Emergency Notification System, Early Warning System, Socio-Technical Systems Theory.
	Abstract	The use of emergency notification systems (ENS), or early warning systems, are not only common practice among Institutes of Higher Education (IHEs), but are required by law in the United States. The dramatic increase in use is matched by the increase in community expectation. This community expectation corresponding with societal shifts challenges Public Safety leaders to implement and maintain a broad and highly reliable ENS. Most Public Safety programs lack the internal resources to consistently assess system risk, reliability, and messaging validity of their ENS sufficient to match the required system performance. Virginia Tech Emergency Management is proposing an ENS evaluation system capable of supporting assessment of reliability and risk across the entire system through the lens of Socio-Technical Systems (STS) theory at a practitioner level. By organizing emergency notification/early warning systems through Human Subsystems, Technical Subsystems, and Task Design the practitioner can assess their system by performance and risk.
	Address	Virginia Tech Emergency Management; Virginia Tech Network Infrastructure & Services; Virginia Tech Division of Operations IT; Virginia Tech Police Department
	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	978-1-949373-27-61	ISBN	2411-3447	Medium
	Track	Resilience in Critical Infrastructures	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	amarinik@vt.edu			Approved	no
	Call Number				Serial	2262
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	Author	Anjum, U.; Zadorozhny, V.; Krishnamurthy, P.
	Title	Localization of Events Using Neural Networks in Twitter Data			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	909-919
	Keywords	Social Networking; Event Localization; Twitter; Neural Networks; GAN, BiLSTM
	Abstract	In this paper, we develop a model with neural networks to localize events using microblogging data. Localization is the task of finding the location of an event and can be done by discovering event signatures in microblogging data. We use the deep learning methodology of Bi-directional Long Short-Term Memory (Bi-LSTM) to learn event signatures. We propose a methodology for labeling the Twitter date for use in Bi-LSTM However, there might not be enough data available to train the Bi-LSTM and learn the event signatures. Hence, the data is augmented using generative adversarial networks (GAN). Finally, we combine event signatures at different temporal and spatial granularity to improve the accuracy of event localization. We use microblogging data collected from Twitter to evaluate our model and compare it with other baseline methods.
	Address	Tokyo 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	AI for Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/UVZV1884			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2575
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	Author	Anmol Haque; Duygu Pamukcu; Ruixiang Xie; Mohsen Zaker Esteghamati; Margaret Cowell; Jennifer L. Irish
	Title	Cascading Effects of Mass Gatherings on COVID-19 Infections from a Multi-hazard Perspective: A Case Study of New York City			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	218-227
	Keywords	COVID-19 pandemic, Mass gatherings, Multi-hazard, Vulnerability
	Abstract	The devastating economic and societal impacts of COVID-19 can be substantially compounded by other secondary events that increase individuals' exposure through mass gatherings such as protests or sheltering due to a natural disaster. Based on the Crichton's Risk Triangle model, this paper proposes a Markov Chain Monte Carlo (MCMC) simulation framework to estimate the impact of mass gatherings on COVID-19 infections by adjusting levels of exposure and vulnerability. To this end, a case study of New York City is considered, at which the impact of mass gathering at public shelters due to a hypothetical hurricane will be studied. The simulation results will be discussed in the context of determining effective policies for reducing the impact of multi-hazard generalizability of our approach to other secondary events that can cause mass gatherings during a pandemic will also be discussed.
	Address	Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-61-5	ISBN		Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	anmol91@vt.edu			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2327
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	Author	Anna Kruspe
	Title	Detecting Novelty in Social Media Messages During Emerging Crisis Events			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	860-871
	Keywords	Social media; Clustering; Novelty; Embeddings
	Abstract	Social media can be a highly valuable source of information during disasters. A crisis' development over time is of particular interest here, as social media messages can convey unfolding events in near-real time. Previous approaches for the automatic detection of information in such messages have focused on a static analysis, not taking temporal changes and already-known information into account. In this paper, we present a novel method for detecting new topics in incoming Twitter messages (tweets) conditional upon previously found related tweets. We do this by first extracting latent representations of each tweet using pre-trained sentence embedding models. Then, Infinite Mixture modeling is used to dynamically cluster these embeddings anew with each incoming tweet. Once a cluster reaches a minimum number of members, it is considered to be a new topic. We validate our approach on the TREC Incident Streams 2019A data set.
	Address	German Aerospace Center (DLR), Jena, Germany
	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	978-1-949373-27-76	ISBN	2411-3462	Medium
	Track	Social Media for Disaster Response and Resilie	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	anna.kruspe@dlr.de			Approved	no
	Call Number				Serial	2277
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	Author	Anne-Marie Barthe-Delanoë; Wenxin Mu
	Title	Towards a Context-Aware Systemic Risk Management Framework for the Crisis 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	1122-1129
	Keywords	Context-Awareness; Risk Analysis; Risk Evaluation; Knowledge Base; Systemic Risk
	Abstract	Crisis response is, as any other collaborative networked organization, challenged by changes and vulnerabilities. Moreover, as a complex system with distributed activities and numerous interdependencies, considering the risk of such an organization at a systemic level, including time and space dimensions, is necessary. Systemic risk management is a topic traditionally studied in the finance area. Even if a few researches now focus on the supply chain management area (a more relatable domain regarding crisis response), there is even fewer literature regarding systemic risk management for the crisis response. Thus, this paper proposes first to define systemic risk related to the case of the crisis response. Then, a framework for context-aware systemic risk management is presented, to support the design as well as the follow-up of the crisis response, meeting one of the challenges of the Sendai Framework for Disaster Risk Reduction.
	Address	Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France; Department of Information Management, Jiao Tong University, Beijing, China
	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	978-1-949373-27-101	ISBN	2411-3487	Medium
	Track	Visions for Future Crisis Management	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	annemarie.barthe@ensiacet.fr			Approved	no
	Call Number				Serial	2302
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	Author	Anouck Adrot; Mercedes Aguerre
	Title	Data Ecosystems and Disaster Risk Reduction in Cross-border Regions: Visioning from 2020 Roya Valley Flood Disaster			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	878-886
	Keywords	Data ecosystems; cross-border regions; organizational field; disaster risk reduction
	Abstract	Knowledge on the practical support from data ecosystems to disaster risk reduction remains partial. More specifically, we misunderstand the drivers and challenges inherent to emergency data ecosystems development in cross-border regions. We also miss cases of data ecosystem building in those regions. This research addresses these gaps by abiding by the principles and guidelines of visioning, a prospective and collaborative research design. Based on qualitative interviewing and archive analysis of the case 2020 Roya Valley floods, this work provides a prospect of a segment of data ecosystem that involves an organizational field aiming at Disaster Risk Reduction (DRR) at the French-Italian border. Still in progress, this work provides a comprehensive narration of a fictious data ecosystem. The narration hints at the major benefits and challenges inherent to this potential data ecosystem. This work enriches our understanding of data ecosystems’ features and benefits to cooperation between organizations involved in emergencies at borders (such as governments, civil protection agencies, volunteer-based organizations). In future development it will propose an agenda to support practitioners in the development good practices related to data ecosystems.
	Address	Université Paris-Dauphine PSL; Croix Rouge Française
	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	Visions for Future Crisis Management	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2462
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	Author	Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel (eds)
	Title	18th ISCRAM Conference Proceedings			Type	Conference Volume
	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
	Keywords
	Abstract	The theme of ISCRAM 2021 is ?Embracing the Interdisciplinary Nature of Crisis Management.? These proceedings highlight the range of interdisciplinary research required to understand the design, behavior, and performance of crisis and emergency management systems. We are pleased to present the included papers, which offer excellent contributions on a wide range of topics related to the use of information systems in crisis response and management.
	Address
	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	2411-3387	ISBN	978-1-949373-61-5	Medium
	Track	Proceedings	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2396
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	Author	Anouck Adrot; Samuel Auclair; Julien Coche; Audrey Fertier; Cécile Gracianne; Aurélie Montarnal
	Title	Using Social Media Data in Emergency Management: A Proposal for a Socio-technical Framework and a Systematic Literature Review			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	470-479
	Keywords	data eco-system; data processing; social media; information management; information technology; emergency organization
	Abstract	Data represents an essential resource to the management of emergencies: organizations have been growingly investing in technologies and resources to lever data as an asset before, during, and after disasters and emergencies. However, research on data usage in emergency management remains fragmented, preventing practitioners and scholars from approaching data comprehensively. To address this gap, this research in progress consists of a systematic review of the literature in a two-steps approach: we first propose a socio-technical framework and use it in an exploratory mapping of the main topics covered by the literature. Our preliminary findings suggest that research on data usage primarily focuses on technological opportunities and affordances and, hence, lacks practical implementation aspects in organizations. The expected contribution is double. First, we contribute to a more comprehensive understanding of data usage in emergency management. Second, we propose future avenues for research on data and resilience.
	Address	Dauphine Recherches en Management; French Geological Survey BRGM; IMT Mines Albi; IMT Mines Albi; French Geological Survey BRGM; IMT Mines Albi
	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	Data and Resilience: Opportunities and Challenges	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2433
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	Author	Anton Björnqvist; Marc Friberg; Carl-Oscar Jonson; Jenny Pettersson; Peter Berggren
	Title	An Analysis of a Swedish Medical Command and Control System’s Situation Reports from the COVID-19 Pandemic			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	334-348
	Keywords	Information sharing; crisis management; situation reports; COVID-19; command and control
	Abstract	This paper presents an analysis of situation reports used and created by a crisis management team within the Swedish healthcare sector during the early phase of the COVID-19 pandemic. The analysis was conducted through a deductive content analysis, where categories were identified based on the concepts of common operational pictures, sensemaking, and situation awareness. In the analysis, support for all identified categories was found. Based on the analysis and the concepts, future recommendations regarding what type of information that ought to be included in situation reports were created. These recommendations include, amongst others, the categories of consequences, how it is perceived by the public, objectives, status and implications of information, future scenarios, actions, resources, and work procedures.
	Address	Linköping University; Linköping University; Linköping University; Linköping University; Linköping University
	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	Command and Control Studies	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2422
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	Author	Antone Evans Jr.; Yingyuan Yang; Sunshin Lee
	Title	Towards Predicting COVID-19 Trends: Feature Engineering on Social Media Responses			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	792-807
	Keywords	Big Data Analysis, Machine Learning, COVID-19, Twitter
	Abstract	During the course of this pandemic, the use of social media and virtual networks has been at an all-time high. Individuals have used social media to express their thoughts on matters related to this pandemic. It is difficult to predict current trends based on historic case data because trends are more connected to social activities which can lead to the spread of coronavirus. So, it's important for us to derive meaningful information from social media as it is widely used. Therefore, we grouped tweets by common keywords, found correlations between keywords and daily COVID-19 statistics and built predictive modeling. The features correlation analysis was very effective, so trends were predicted very well. A RMSE score of 0.0425504, MAE of 0.03295105 and RSQ of 0.5237014 in relation to daily deaths. In addition, we found a RMSE score of 0.07346836, MAE of 0.0491152 and RSQ 0.374529 in relation to daily cases.
	Address	University of Illinois Springfield; University of Illinois Springfield; University of Illinois Springfield
	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	Social Media for Disaster Response and Resilience	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	aevan7@uis.edu			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2374
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	Author	Antonio De Nicola; Maria Luisa Villani; Francesco Costantino; Andrea Falegnami; Riccardo Patriarca
	Title	Knowledge Fusion for Distributed Situational Awareness driven by the WAx Conceptual Framework			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	79-85
	Keywords	distributed situational awareness, knowledge fusion, WAx framework, crisis management, cyber-socio-technical systems
	Abstract	Large crisis scenarios involve several actors, acting at the blunt-end of the process, such as rescue team directors, and at the sharp-end, such as firefighters. All of them have different perspectives on the crisis situation, which could be either coherent, alternative or complementary. This heterogeneity of perceptions hinders situational awareness, which is defined as the achievement of an overall picture on the above-mentioned crisis situation. We define knowledge fusion as the process of integrating multiple knowledge entities to produce actionable knowledge, which is consistent, accurate, and useful for the purpose of the analysis. Hence, we present a conceptual modelling approach to gather and integrate knowledge related to large crisis scenarios from locally-distributed sources that can make it actionable. The approach builds on the WAx framework for cyber-socio-technical systems and aims at classifying and coping with the different knowledge entities generated by the involved operators. The conceptual outcomes of the approach are then discussed in terms of open research challenges for knowledge fusion in crisis scenarios.
	Address	ENEA; ENEA – CR Casaccia; Sapienza University of Rome; Sapienza University of Rome; Sapienza University of Rome
	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	AI and Intelligent Systems for Crises and Risks	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	antonio.denicola@enea.it			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2315
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	Author	Anying Chen; Zhongliang Huang; Manchun Liang; Guofeng Su
	Title	Empirical Study of Individual Evacuation Decision-making in Fire Accidents: Evacuate Intention and Herding Effect			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	200-209
	Keywords	Fire Accidents, Evacuation Experiment, Evacuate Intention, Herding Behaviors.
	Abstract	People's decision of evacuating or not could greatly influence the final losses in fire accidents. In order to study people's response under emergent occasions, a fire accident evacuation drill experiment was conducted in an office building without advance notice. 113 Participants' response and their decision-making process were collected by questionnaire survey right after the experiment. In this study, we mainly focused on two aspects of people's response, including participants' evacuate intention and their herding tendency during evacuate decision-making. It is found that the classical Expected Utility Theory (EUT) has certain limitation in explaining individual's evacuation intention, but the relationship between the expected utility and the evacuation intention could be represented with a modified model based on EUT. Furthermore, the herding tendency is found to be different for the two groups of people who intend to evacuate and not to evacuate. People who firstly intend not to evacuate are more easily to form herding behavior and change their minds to evacuate. Based on these findings, models of individual evacuation intention and herding tendency for two groups of people are put forward. Simulation is conducted to investigate the effect of these two changes in people's evacuation decision-making process, and results show that they both increase the final evacuation rate, reflecting the majority's risk aversion characteristics.
	Address	Tsinghua University;Tsinghua University; Tsinghua University; Tsinghua 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	978-1-949373-27-19	ISBN	2411-3405	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	chenay15@mails.tsinghua.edu.cn			Approved	no
	Call Number				Serial	2220
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	Author	Apoorva Chauhan; Amanda Hughes
	Title	COVID-19 Named Resources on Facebook, Twitter, and Reddit			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	679-690
	Keywords	Crisis Named Resources, Facebook, Twitter, Reddit, COVID-19
	Abstract	Crisis Named Resources (CNRs) are social media accounts and pages named after a crisis event. They are created soon after an event occurs. CNRs share a lot of information around an event and are followed by many. In this study, we identify CNRs created around COVID-19 on Facebook, Twitter, and Reddit. We analyze when these resources were created, why they were created, how they were received by members of the public, and who created them. We conclude by comparing CNRs created around COVID-19 with past crisis events and discuss how CNR owners attempt to manage content and combat misinformation.
	Address	University of Waterloo; Brigham Young 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	Social Media for Disaster Response and Resilience	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	apoorva.chauhan@aggiemail.usu.edu			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2364
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	Author	Arnis Parsovs
	Title	Solving the Estonian ID Card Crisis: the Legal Issues			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	459-471
	Keywords	Cyber Resilience, Electronic Identity, Cyber Legislation, eIDAS.
	Abstract	In 2017, Estonia experienced a cyber crisis caused by a vulnerability found in the smart card chips produced by Infineon Technologies AG. Since the affected chip was used in the electronic identity card (ID card) issued by the State to more than half of the Estonian population, the vulnerability posed a risk to the resilience of Estonian e-state and thus quickly escalated into a manageable crisis. This work studies to what extent, in such a national emergency, the involved parties were able to precisely follow the applicable laws and regulations in the field. We enlist the cases where the requirements were not fully followed, either due to the lack of technical preparedness, suboptimal decisions made under heavy time pressure, or the critical nature of the situation.
	Address	STACC OU, Estonia University of Tartu, Estonia
	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	978-1-949373-27-44	ISBN	2411-3430	Medium
	Track	Ethical, Legal, and Social Issues	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	arnis.parsovs@ut.ee			Approved	no
	Call Number				Serial	2245
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	Author	Artur Ricardo Bizon; Luciana P. de Araújo Kohler; Adilson Luiz Nicoletti; Fernanda Dal Bosco; Murilo Schramm da Silva; Thales Bohn Pessatti
	Title	Integration statistical systems for land cover mapping in Southern Brazil			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	498-505
	Keywords	Random Forest, Logistic Regression, Classifier, Google Earth Engine, Remote Sensing.
	Abstract	The remote sensing is a way to optimize the process of land cover classification allowing that this process will be by high definition images of satellite. For the research it was used the Google Earth Engine with JavaScript programming language to classify the images, identifying the areas with forest or reforest. It was identified that classifiers Random Forest and Logistic Regression have a high performance in classify the images. From them it was developed functions to process automatically of new images with purpose of classify them in relation to land cover.
	Address	Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau;Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau
	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	978-1-949373-27-47	ISBN	2411-3433	Medium
	Track	Geospatial Technologies and Geographic Information Science for Crisis Management (GIS)	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	abizon@furb.br			Approved	no
	Call Number				Serial	2248
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	Author	Audun Stolpe; Jo Hannay
	Title	On the Adaptive Delegation and Sequencing of Actions			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	28-39
	Keywords	Decision support, AI Planning, Delegation, Sequencing, Adaptivity, Cognitive processes
	Abstract	Information systems support to crisis response and management relies crucially on presenting actionable information in a manner that supports cognitive processes, and does not overwhelm them. We outline how AI Planning can be used viably to support the \emph{delegation and sequencing} of tasks. The idea is to use standard operating procedures as initial specifications of plans in terms of actors, actions and delegation rules. When expressed in the AI planning language \textit{Answer set Programming} (ASP), machine reasoning can be used in a \textit{pre-incident review} to display relevant delegation and sequencing inherent in a plan. % together with measures of goal achievement. The purpose of this is to uncover weaknesses in the initial plan and to optimize sequencing and delegation to increase the likelihood of achieving goals. Further, adaptive planning can be supported in \textit{during-incident reviews} by updating the current status, upon which ASP will then compute new alternatives. % and corresponding goal achievement measures. At this point, initial goals may no longer be viable and the explicit suggestion of prior sub-optimal goals now worth pursuing can be a game-changer under stress. The conceptual basis we lay out in terms of delegation and sequencing can be readily extended with further planning factors, such as resource requirements, role transfer and goal achievement.
	Address	Norwegian Computing Center; Norwegian Computing Center
	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	AI and Intelligent Systems for Crises and Risks	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	audun.stolpe@its.uio.no			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2310
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	Author	Aurélie Congès; Alexis Evain; Olivier Chabiron; Col. Jacob Graham(USMC, R.); Frédérick Benaben
	Title	Virtual Reality to Train for Crisis Management			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	1100-1112
	Keywords	Virtual reality; Crisis Management; Exercises; Decision-Support System
	Abstract	The EGCERSIS project aims at using virtual reality to improve the efficiency of the crisis management preparation phase. The idea is to tackle the drawbacks of regular crisis management exercises thanks to fully configurable scenarios taking place in digital twins of real critical sites. Virtual exercises will improve, among other things, the frequency, efficiency, and modularity of crisis management preparation, while reducing its costs. In this article, we demonstrate the idea of the project through a simple use-case taking place in a metro station and involving three crisis responders. By linking virtual exercises to our crisis management platform, we also want to demonstrate the usefulness of decision-support systems during a crisis.
	Address	IMT Mines Albi; IMT Mines Albi; Immersive Factory; The Pennsylvania State University; IMT Mines Albi
	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	978-1-949373-27-99	ISBN	2411-3485	Medium
	Track	Visions for Future Crisis Management	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	aurelie.conges@mines-albi.fr			Approved	no
	Call Number				Serial	2300
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	Author	Ayda Kianmehr; Duygu Pamukcu
	Title	Analyzing Citizens’ Needs during an Extreme Heat Event, based on 311 Service Requests: A Case Study of the 2021 Heatwave in Vancouver, British Columbia			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	174-182
	Keywords	Extreme heat; 311 calls; weather-related variables; time-series analysis; hazard preparedness
	Abstract	Heat waves are becoming more common and intense with global climate change, which requires deploying resilience strategies of governments to prepare for long-term trends of higher temperatures and carefully plan emergency responses for such extreme heat events. The British Columbia province of Canada is one of the regions severely affected by extreme climatic events in 2021, which resulted in several deaths and put hundreds of thousands of people scrambling for relief. This study examines the public reactions to one of these extreme climatic events, the 2021 Pacific Northwest heatwave, in a non-emergency service request platform to uncover the types of municipal service needs during severe climatic disasters. City of Vancouver 311 system data is used to identify the impact of the heatwave on the frequency and types of service needs and examine the significance of the relationship between climatic conditions and the non-emergency service volumes.
	Address	Virginia Tech; Virginia Tech
	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	Analytical Modeling and Simulation	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2408
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	Author	Balogh, Z.; Gatial, E.; Dolatabadi, S.H.; Dlugolinský, Štefan; Saltarella, M.; Scipioni, M.P.; Grunwald, D.; Przybyszewski, M.P.; Majlingova, A.; Brodrechtova, Y.; Mojir, K.Y.; Olson, N.; Levak, J.; Chandramouli, K.
	Title	Communication Protocol for using Nontraditional Information Sources between First Responders and Citizens during Wildfires			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	152-165
	Keywords	Communication Protocol; Wildfires; Forest Fires; Drones; Mesh in the Sky; Emergency Response; First Responders
	Abstract	One of the biggest challenges faced during the wildfires is communication. A specific case represents the need to establish communication between first responders and the public. This paper presents a proposal for a generic protocol to ensure effective communication between fire fighters and many citizens at the incident site or in the surrounding area using nontraditional information sources such as a dedicated mobile app or social media. Specific challenges, concepts and technologies relevant to such communication are described specifically customized for forest fires and wildfires. The protocol itself is provided by proposing information flows between the involved actors. Moreover, several technologies including a Citizen Engagement Mobile App, an Edge Micro Data Center for forward command centers, a Mesh in the Sky communication infrastructure or a Dashboard integrating and displaying all the data in one place is shortly introduced. The presented paper is a work in progress.
	Address	Institute of Informatics, Slovak Academy of Sciences in Bratislava; Fincons SpA; ITTI Sp. z o.o.; Technical University in Zvolen; Swedish School of Library and Information Science, University of Borås; RiniGARD; Queen Mary University of London, United Kingdom
	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	2411-3387	ISBN	979-8-218-21749-5	Medium
	Track	Technologies for First Responders	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/YIJK9098			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2514
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	Author	Bas Lijnse
	Title	Modeling Real World Crisis Management Plans with C2Sketch			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	404-413
	Keywords	Crisis Management Plans; Command and Control Systems; C2Sketch
	Abstract	When crisis management plans are described in natural language documents, they may contain logical inconsistencies or ambiguities that are not immediately apparent. To allow automated early detection of such errors, they need to be described in a well defined formalism. C2Sketch is a tool for modeling command and control systems that provides such a structure for formalizing (crisis management) plans. However, C2Sketch is in active development and to what extent real-world crisis management plans can be expressed in it is unknown. In this exploratory study the unstructured text of a small sample of publicly available regional-level crisis management plans was translated systematically into structured C2Sketch mission-plans to uncover limitations and opportunities for further development of the tool. The plans contained enough information to largely capture the networks of actors and their tasks therein, but did contain enough operational information to develop complete C2Sketch models from.
	Address	Netherlands Defence Academy
	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	Command and Control Studies	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2428
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	Author	Ben Ortiz; Laura Kahn; Marc Bosch; Philip Bogden; Viveca Pavon-Harr; Onur Savas; Ian McCulloh
	Title	Improving Community Resiliency and Emergency Response With Artificial Intelligence			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	35-41
	Keywords	Emergency Management, Semantic Segmentation, Inland Flood Modeling, Route Optimization.
	Abstract	New crisis response and management approaches that incorporate the latest information technologies are essential in all phases of emergency preparedness and response, including the planning, response, recovery, and assessment phases. Accurate and timely information is as crucial as is rapid and coherent coordination among the responding organizations. We are working towards a multi-pronged emergency response tool that provide stakeholders timely access to comprehensive, relevant, and reliable information. The faster emergency personnel are able to analyze, disseminate and act on key information, the more effective and timelier their response will be and the greater the benefit to affected populations. Our tool consists of encoding multiple layers of open source geospatial data including flood risk location, road network strength, inundation maps that proxy inland flooding and computer vision semantic segmentation for estimating flooded areas and damaged infrastructure. These data layers are combined and used as input data for machine learning algorithms such as finding the best evacuation routes before, during and after an emergency or providing a list of available lodging for first responders in an impacted area for first. Even though our system could be used in a number of use cases where people are forced from one location to another, we demonstrate the feasibility of our system for the use case of Hurricane Florence in Lumberton, a town of 21,000 inhabitants that is 79 miles northwest of Wilmington, North Carolina.
	Address	Accenture Federal Services; Accenture Federal Services; Accenture Federal Services; Accenture Federal Services; Accenture Federal Services; Accenture Federal Services
	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	978-1-949373-27-4	ISBN	2411-3390	Medium
	Track	AI Systems for Crisis and Risks	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	Laura.kahn@accenturefederal.com			Approved	no
	Call Number				Serial	2205
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	Author	Benaben, F.; Fertier, A.; Cerabona, T.; Moradkhani, N.; Lauras, M.; Montreuil, B.
	Title	Decision Support in uncertain contexts: Physics of Decision and Virtual Reality			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	54-66
	Keywords	Data Visualization; Virtual Reality; Immersive Technology; Decision Support; Risk; Opportunities; Performance Management.
	Abstract	Virtual Reality (VR) is often used for its ability to mimic reality. However, VR can also be used for its ability to escape reality. In that case, on the one hand VR provides a visualization environment where the user’s senses are still in a familiar context (one can see if something is in front, behind, up, down, far or close), yet on the other hand, VR allows to escape the usual limits of reality by providing a way to turn abstract concepts into concrete and interactive objects. In this paper, the dynamic management of a complex industrial system (a supply chain) is enabled in a VR prototypical environment, through the management of a physical trajectory that can be deflected by the impact of any potentialities such as risks or opportunities, seen as physical objects in the performance space.
	Address	IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; Georgia 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	Visions for Future Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/DENR9785			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2506
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