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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	Zijun Long; Richard Mccreadie
	Title	Automated Crisis Content Categorization for COVID-19 Tweet Streams			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	667-678
	Keywords	COVID-19, Tweet Classification, Crisis Management, Deep Learning
	Abstract	Social media platforms, like Twitter, are increasingly used by billions of people internationally to share information. As such, these platforms contain vast volumes of real-time multimedia content about the world, which could be invaluable for a range of tasks such as incident tracking, damage estimation during disasters, insurance risk estimation, and more. By mining this real-time data, there are substantial economic benefits, as well as opportunities to save lives. Currently, the COVID-19 pandemic is attacking societies at an unprecedented speed and scale, forming an important use-case for social media analysis. However, the amount of information during such crisis events is vast and information normally exists in unstructured and multiple formats, making manual analysis very time consuming. Hence, in this paper, we examine how to extract valuable information from tweets related to COVID-19 automatically. For 12 geographical locations, we experiment with supervised approaches for labelling tweets into 7 crisis categories, as well as investigated automatic priority estimation, using both classical and deep learned approaches. Through evaluation using the TREC-IS 2020 COVID-19 datasets, we demonstrated that effective automatic labelling for this task is possible with an average of 61% F1 performance across crisis categories, while also analysing key factors that affect model performance and model generalizability across locations.
	Address	University of Glasgow; University of Glasgow
	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	2452593L@student.gla.ac.uk			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2363
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	Author	Jingxian Wang; Lida Huang; Guofeng Su; Tao Chen; Chunhui Liu; Xiaomeng Wang
	Title	UAV and GIS Based Real-time Display System for Forest Fire			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	527-535
	Keywords	forest fire, forest fire boundary extraction, UAV, GIS, 3D modeling
	Abstract	When a forest fire occurs, the commander cannot obtain information in time, and the rescue command is like groping in the dark. In order to solve the problem, this research establishes a real-time forest fire display system based on UAV and GIS. The UAV is equipped with visible light and thermal imaging cameras to transmit back forest fire scenes in real time. Based on GIS, the system can extract the boundary of the fire field through image processing and 3D modeling technology, and display various forest fire information on the screen. Through image processing and 3D modeling technology, the boundary of the fire field can be extracted and displayed on the screen. We conducted several experiments to test the accuracy and the reliability of the system. The result shows that the accuracy, reliability and real-time capability can be guaranteed in small-scale forest fires.
	Address	Tsinghua university; Tsinghua university; Tsinghua university; Tsinghua university; Beijing Global Safety Technology Co., Ltd.; Beijing Global Safety Technology Co., Ltd.
	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	Geospatial Technologies and Geographic Information Science for Crisis Management (GIS)	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	690069938@qq.com			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2353
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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	Alexander Gabriel; Babette Tecklenburg; Yann Guillouet; Frank Sill Torres
	Title	Threat analysis of offshore wind farms by Bayesian networks – a new modeling approach			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	174-185
	Keywords	Threat analysis, Bayesian networks, process modeling, Critical infrastructurs
	Abstract	As a result of the ongoing commitment to climate protection in more and more countries and the corresponding expansion of renewable energies, the importance of renewables for the security of electricity supply is also increasing. Wind energy generated in offshore wind farms already accounts for a significant share of the energy mix and will continue to grow in the future. Therefore, approaches and models for security assessment and protection against threats are also needed for these infrastructures. Due to the special characteristics and geographical location of offshore wind farms, they are confronted with particular challenges. In this context, this contribution outlines how an approach for threat analysis of offshore wind farms is to be developed within the framework of the new research project “ARROWS” of the German Aerospace Center. The authors first explain the structure of offshore wind farms and then present a possible modeling approach using Qualitative function models and Bayesian networks.
	Address	German Aerospace Center – Institute for the Protection of Maritime Infrastructures; German Aerospace Center – Institute for the Protection of Maritime Infrastructures; German Aerospace Center – Institute for the Protection of Maritime Infrastructures; Ger
	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	Alexander.Gabriel@dlr.de			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2323
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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	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	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	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	Briony Gray; Matthew Colling
	Title	Supporting Emergency Health Services during a Pandemic: Lessons from the Canadian Red Cross			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	320-332
	Keywords	Pandemic, Health, Emergency Management, The Red Cross, COVID-19
	Abstract	The COVID-19 pandemic has tested Canada's readiness capacity as emergency health needs continue to exceed some communities' capacity to respond. To address this variance, the Canadian Red Cross (in collaboration with local, provincial, territorial, national, and Indigenous partners) have leveraged international experience in humanitarian response and preparedness, developing innovative new response services, delivery modalities, and protocol through which to mitigate and manage risk. This approach breaks down emergency management into two main streams – health interventions and disaster management – to innovatively and effectively cope with increasingly complex and frequent requests for support. Using internal data from within the Canadian Red Cross, this paper presents and discusses the services, roles and expectations of this two-stream approach which has been designed to (i.) support COVID-19 testing and vaccination, (ii.) support outbreak crisis management, especially through epidemic, prevention, and control interventions, and (iii.) support traditional emergency management responses in the midst of a pandemic. It concludes by reporting on the successes of the two-stream approach to date while scoping further the potential evolutionary track of some of these services, their underpinning methodology, and appetite for recovery operations in the near future. This approach may therefore be of value to other organizations or practitioners coping with emergency management challenges during a pandemic.
	Address	The Canadian Red Cross; The Canadian Red Cross
	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	Disaster Public Health & Healthcare Informatics in the Pandemic	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	bjg1g11@soton.ac.uk			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2336
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	Author	Boris Petrenj; Mariachiara Piraina; Giada Feletti; Paolo Trucco; Valentina Urbano; Stefano Gelmi
	Title	Cross-border Information Sharing for Critical Infrastructure Resilience: Requirements and Platform Architecture			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	247-259
	Keywords	Critical Infrastructure, Interdependencies, Resilience, Cross-border, Information sharing, IT Platform, GIS
	Abstract	Resilience of Critical Infrastructures is high on the agenda of countries' efforts. Modern CI highly interdependent and span countries, so disruptions occurring on one side of the border can significantly affect economic and social functions on the other. To build CI resilience, stakeholder organizations must collaborate and exchange information throughout the Emergency Management cycle. In this paper, we present the Critical Infrastructure Platform (PIC in Italian) which is being developed within the SICt project (Resilience of Cross-Border Critical Infrastructure). PIC is a technological piece of a broader cross-border regional resilience strategy between Lombardy Region (Italy) and Canton Ticino (Switzerland) aiming to improve the capacity to manage accidental events involving transportation CI between the two countries. The main goal of the PIC platform is to support secure and effective information-sharing, inter-organizational risk assessment, monitoring and operational coordination under critical situations. The paper presents the key requirements of such ICT system, its high-level architecture including the description of its main modules, main takeaways and future steps.
	Address	Politecnico di Milano; Politecnico di Milano; Politecnico di Milano; Politecnico di Milano; Aria S.p.A., Lombardy Region; Aria S.p.A., Lombardy Region
	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	Cross-Border & Transboundary Resilience	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	boris.petrenj@polimi.it			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2330
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	Author	Boris Petrenj; Paolo Trucco
	Title	Blockchain-based Solutions to support inter-organisational Critical Infrastructure Resilience			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	982-993
	Keywords	Critical Infrastructure, Blockchain, Research agenda, Resilience, Capability, Inter-organizational
	Abstract	This conceptual paper critically discusses opportunities for and challenges to the development and exploitation of blockchain-based solutions for resilience management at inter-organizational level of interdependent Critical Infrastructure (CI) systems. The main premise behind this idea is that trustful information-sharing and inter-institutional collaboration are the key elements of government and private sector efforts to build CI resilience (CIR). The discussion presents a vision that the adoption and adaptation of Blockchain Technology (BCT) could significantly improve the way a network of stakeholders prepares for and performs in face of inevitable CI disruptions. Even though BCT is regarded as technological innovation, the impacts go far beyond information systems. BCT application in this domain would entail significant benefits to organizational, managerial, legal and social issues, but would require adequate operational and organizational changes. We discuss how interdisciplinary approach (BCT and CIR) could address existing challenges, how it could introduce new challenges and how it could support other approaches and paradigms currently being regarded as the future of risk and resilience management. Even though the discussion in this paper is focused on Critical Infrastructure resilience, each point also applies to Crisis/Disaster management domain in general. This is a preliminary overview with the aim to stimulate further discussions and point to possible new, disruptive and interdisciplinary research avenues. To this end, a possible research agenda is eventually proposed.
	Address	Politecnico di Milano; Politecnico di Milano
	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	Visions for Future Crisis Management	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	boris.petrenj@polimi.it			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2390
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	Author	Briony Gray; Matthew Colling
	Title	Understanding Interoperability in Humanitarian Aid Organizations			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	439-447
	Keywords	Interoperability, Humanitarian Aid Organizations, Crisis Management, The Red Cross
	Abstract	Quality and timely knowledge is critical to effective humanitarian operations during crises. Despite this, there remain limitations to its capture, exchange and understanding both in the inter and intra agency settings. To improve this, methods like interoperability should be improved within humanitarian aid organizations and their wider networks. Learning from the experiences and insights of domestic and international delegates of the Canadian Red Cross, this paper highlights that the biggest added values of interoperability to the intra-agency setting are (i.) increasing organizational capacity, expertise and reputation, (ii.) better tools, processes and leveraging valuable knowledge, and (iii.) improved engagement of volunteers, employees and delegates. The most prevalent barriers are (i.) workplace culture, (ii.) differences in operations, context and communications and (iii.) the socio-technical barriers of systems, processes and integration. The paper concludes by presenting lessons for humanitarian organizations to improve interoperability, supporting resilient responses for future crisis management.
	Address	The Canadian Red Cross; The Canadian Red Cross
	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	Enhancing Resilient Response in Inter-organizational Contexts	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	Briony.Gray@redcross.ca			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2345
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	Author	Bruna Diirr; Vânia de Oliveira Neves; Marcus Vinícius Vasconcelos de Almeida Cunha; Ana Beatriz Kapps dos Reis; Jairo Francisco de Souza
	Title	Software Requirements for Disaster Management Systems			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	1042-1054
	Keywords	Software Requirements, Systematic Literature Mapping, Repository Mining, Disaster Management Systems
	Abstract	Disasters are a major global problem and a serious threat to sustainable development. In this context, the development of disaster management systems becomes a complex activity, both due to the unpredictability of the events to be treated and the difficulty in extracting or identifying these systems users' needs (requirements). This study aims to understand the requirements usually elicited for disaster management systems and how such requirements are identified. Thus, a systematic mapping of literature (SM) and an open-source repository mining (RM) were performed. Results bring benefits both to academics and practitioners, as detail several characteristics of disaster management systems that could assist these systems development and decision-making, besides providing inputs to guide further research.
	Address	Universidade Federal do Estado do Rio de Janeiro; Universidade Federal Fluminense; Universidade Federal de Juiz de Fora; Universidade Federal de Juiz de Fora; Federal University of Juiz de Fora
	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	bruna.diirr@uniriotec.br			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2395
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	Author	Aikaterini Christodoulou; John Lioumbas; Kostantinos Zambetoglou; Nikoletta Xanthopoulou
	Title	Combined innovative technologies for ensuring water safety in utilities: The city of Thessaloniki case study			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	929-934
	Keywords	Water safety, satellite images, drones, risk assessment
	Abstract	Innovative technologies such as monitoring the quality of surface water aquifers with satellite images, applying UAV (Unmanned Aerial Vehicle) and drone technology for a variety of operations, water quality measurements with improved techniques along with IoT (Internet of Things) and ICT (Information and Communication Technologies), can provide sufficient data for enhancing water safety in urban water utilities. Specifically, these data could be an effective tool for improving risk assessment process and management of water supply systems. Nevertheless, till now, there is a relative lack of published works that validate the efficiency of combing these technologies on water safety processes by incorporating most of them with a systematic way and during real working conditions in water utilities. This work aims to present the preliminary design concept of a platform that embraces innovating water safety technologies planned to be applied to Thessaloniki's Water Supply and Sewerage Co. S.A Standard Operating Procedures (SOP).
	Address	Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA); Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA); Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA); Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA)
	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	Technologies for First Responders	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	catchristo@eyath.gr			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2385
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	Author	Cody Buntain; Richard Mccreadie; Ian Soboroff
	Title	Incident Streams 2020: TRECIS in the Time of COVID-19			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	621-639
	Keywords	Emergency Management, Crisis Informatics, Twitter, Categorization, Prioritization, COVID-19
	Abstract	Between 2018 and 2019, the Incident Streams track (TREC-IS) has developed standard approaches for classifying the types and criticality of information shared in online social spaces during crises, but the introduction of SARS-CoV-2 has shifted the landscape of online crises substantially. While prior editions of TREC-IS have lacked data on large-scale public-health emergencies as these events are exceedingly rare, COVID-19 has introduced an over-abundance of potential data, and significant open questions remain about how existing approaches to crisis informatics and datasets built on other emergencies adapt to this new context. This paper describes how the 2020 edition of TREC-IS has addressed these dual issues by introducing a new COVID-19-specific task for evaluating generalization of existing COVID-19 annotation and system performance to this new context, applied to 11 regions across the globe. TREC-IS has also continued expanding its set of target crises, adding 29 new events and expanding the collection of event types to include explosions, fires, and general storms, making for a total of 9 event types in addition to the new COVID-19 events. Across these events, TREC-IS has made available 478,110 COVID-related messages and 282,444 crisis-related messages for participant systems to analyze, of which 14,835 COVID-related and 19,784 crisis-related messages have been manually annotated. Analyses of these new datasets and participant systems demonstrate first that both the distributions of information type and priority of information vary between general crises and COVID-19-related discussion. Secondly, despite these differences, results suggest leveraging general crisis data in the COVID-19 context improves performance over baselines. Using these results, we provide guidance on which information types appear most consistent between general crises and COVID-19.
	Address	New Jersey Institute of Technology; University of Glasgow; National Institute of Standards and Technology
	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	cbuntain@njit.edu			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2360
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	Author	Shivam Sharma; Cody Buntain
	Title	An Evaluation of Twitter Datasets from Non-Pandemic Crises Applied to Regional COVID-19 Contexts			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	808-815
	Keywords	covid19, twitter, trecis, cross-validation, machine learning, transfer learning
	Abstract	In 2020, we have witnessed an unprecedented crisis event, the COVID-19 pandemic. Various questions arise regarding the nature of this crisis data and the impacts it would have on the existing tools. In this paper, we aim to study whether we can include pandemic-type crisis events with general non-pandemic events and hypothesize that including labeled crisis data from a variety of non-pandemic events will improve classification performance over models trained solely on pandemic events. To test our hypothesis we study the model performance for different models by performing a cross validation test on pandemic only held-out sets for two different types of training sets, one containing only pandemic data and the other a combination of pandemic and non-pandemic crisis data, and comparing the results of the two. Our results approve our hypothesis and give evidence of some crucial information propagation upon inclusion of non-pandemic crisis data to pandemic data.
	Address	New Jersey Institute of Technology; New Jersey Institute of Technology
	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	cbuntain@njit.edu			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2375
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	Author	Cecilia Hammar Wijkmark; Ilona Heldal; Maria-Monika Metallinou
	Title	Experiencing Immersive VR Simulation for Firefighter Skills Training			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	913-921
	Keywords	Virtual reality, training, firefighter, skills, user experiences
	Abstract	Virtual Reality (VR) technology has gained interest for training in many domains, including firefighter education and training. However, there is hesitation in accepting immersive VR technology, especially for skills training. This paper examines the results from a field study investigating how first-time users experience immersive VR comparing with hot fire live simulation (HF-LS) training, a training involving several human senses. This study included nineteen firefighter students, eight instructors, and seven experienced firefighters using a VR technology simulating fire, smoke, heat, and via haptic feedback hose and pressure experiences. Data investigating user experiences were collected through questionnaires and observations. The results show that experienced firefighters valued the training using this VR technology higher than students. Further findings illustrate a difference between different user groups regarding expectations on the realism of simulated representations. For example, the visual realism of the smoke and the fire was more appreciated by experienced firefighters than students and instructors.
	Address	Western Norway University of Applied Sciences; Western Norway University of Applied Sciences; Western Norway University of Applied Sciences
	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	Technologies for First Responders	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	cecilia.hammar.wijkmark@hvl.no			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2383
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	Author	Claudio Paliotta; Klaus Ening; Sigurd Mørkved Albrektsen
	Title	Micro indoor-drones (MINs) for localization of first responders			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	881-889
	Keywords	Micro indoor-drones, Indoor localisation, Swarm
	Abstract	In this paper, we describe our approach to the localization in GNSS-denied and risky unknown environments offirst responders (FRs). The INGENIOUS project is an EU funded project which is developing a new integratedtoolkit to support the operations of FRs. The micro indoor-drones (MINs) developed within the INGENIOUSproject represent a component of the toolkit which will support the localization of FRs in search-and-rescue (SAR)operations. In this paper, the concept behind the MINs and the current achievements are illustrated.
	Address	SINTEF Digital; SINTEF Digital; SINTEF Digital
	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	Technologies for First Responders	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	claudio.paliotta@sintef.no			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2380
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	Author	Julien Coche; Jess Kropczynski; Aurélie Montarnal; Andrea Tapia; Frédérick Bénaben
	Title	Actionability in a Situation Awareness world: Implications for social media processing system design			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	994-1001
	Keywords	Actionable Information, Situation Awareness, Social Media, Crisis Management
	Abstract	The field of crisis informatics now has a decade-long history of designing tools that leverage social media to support decision-makers situation awareness. Despite this history, there remains few examples of these tools adopted by practitioners. Recent fieldwork with public safety answering points and first responders has led to an awareness of the need for tools that gather actionable information, rather than situational awareness alone. This paper contributes to an ongoing discussion about these concepts by proposing a model that embeds the concept of actionable information into Endsley's model of situation awareness. We also extend the insights of this model to the design implications of future information processing systems.
	Address	IMT Mines Albi; University of Cincinnati; Ecole des Mines d'Albi Carmaux; The Pennsylvania State University; Ecole des Mines d'Albi-Carmaux
	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	Visions for Future Crisis Management	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	coche.emac@gmail.com			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2391
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	Author	Dashley Rouwendal van Schijndel; Audun Stolpe; Jo Erskine Hannay
	Title	Toward an AI-based external scenario event controller for crisis response simulations			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	106-117
	Keywords	Scenario event controller, AI Planning, Modelling and Simulation, Simulation controller
	Abstract	There is a need for tool support for structured planning, execution and analysis of simulation-based training for crisisresponse and management. As a central component of an architecture for such tool support, we outline the design ofan AI-based scenario event controller. The event controller is a component that uses machine reasoning to computethe next state in a scenario, given the actions performed in the corresponding simulation (execution of the scenario).Scenarios are specified in Answer Set Programming, which is a logic programming language we use for automatedplanning of training scenarios. A plan encoding in ASP adds expressivity in scenario specification and enablesmachine reasoning. For exercise managers this gives AI-based tool support for before-action and during-actionreviews to optimize learning. In line with Modelling and Simulation as as Service, our approach externalizes eventcontrol from any particular simulation platform. The scenario, and its unfolding in terms of events, is externalizedas a service. This increases interoperability and enables scenarios to be designed and modified readily and rapidlyto adapt to new training requirements.
	Address	University of Oslo; Norsk Regnesentral; Norsk Regnesentral
	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	d.k.rouwendal@its.uio.no			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2318
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	Author	David Wodak; Kenny Meesters
	Title	How To Improve HO/TO's: An Exploratory Study on The Alignment Between Information, Technology And Crisis teams			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	459-470
	Keywords	Crisis handovers, information technology, organizational processes, information quality, crisis teams
	Abstract	In the last decade, the number of crises has increased, and have become more complex. Crisis response does not only focus on rescue operations, or separate stages but rather it is an integrated and continuous process. During this continuous process, several handovers take place. A handover is an important, critical but challenging moment during a crisis, due to the organizational factors that influence the handover and the technology used to transfer information. Since these are crucial elements of a Crisis handover, it would indicate that the alignment between these factors could lead to the improvement of Crisis handovers. However, certain barriers resulted in a lack of alignment. An important barrier originates from the organizational processes. These have a lack of focus on which crisis managers are involved in the handover and thus create a lack of alignment between the systems and information used by various crisis teams.
	Address	Tilburg University; Tilburg 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	Enhancing Resilient Response in Inter-organizational Contexts	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	D.wodak@hotmail.com			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2347
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	Author	Dimitrios Sainidis; Dimitrios Tsiakmakis; Konstantinos Konstantoudakis; Georgios Albanis; Anastasios Dimou; Petros Daras
	Title	Single-Handed Gesture UAV Control and Video Feed AR Visualization for First Responders			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	835-848
	Keywords	First responders, UAV, gesture control, augmented reality
	Abstract	Unmanned Aerial Vehicles (UAVs) are becoming increasingly widespread in recent years, with numerous applications spanning multiple sectors. UAVs can be of particular benefit to first responders, assisting in both hazard detection and search-and-rescue operations, increasing their situational awareness without endangering human personnel; However, conventional UAV control requires both hands on a remote controller and many hours of training to control efficiently. Additionally, viewing the UAV video-feed on conventional devices (e.g. smartphones) require first responders to glance downwards to look at the screen, increasing the risk of accident. To this end, this work presents a unified system, incorporating single-hand gesture control for UAVs and an augmented reality (AR) visualization of their video feed, while also allowing for backup remote UAV control from any device and multiple-recipient video streaming. A modular architecture allows the upgrade or replacement of individual modules without affecting the whole. The presented system has been tested in the lab, and in field trials by first responders.
	Address	Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for
	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	Technologies for First Responders	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	dsainidis@iti.gr			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2377
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	Author	Duygu Pamukcu; Christopher Zobel; Yue Ge
	Title	Analysis of Orange County, Florida 311 System Service Requests During the COVID-19 Pandemic			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	208-217
	Keywords	Disaster management, COVID-19, 311 system, Orlando
	Abstract	The Orlando metropolitan area in Florida, where Walt Disney World is located, is intimately familiar with impacts of natural disasters because of the yearly threat of hurricanes in the southeastern United States. One of the tools that has aided them in their efforts to monitor and manage such disasters is their 311 non-emergency call system, through which local residents can issue requests to the municipality for disaster-related information or other services. This paper provides a preliminary examination of the potential for the Orange County 311 system to provide actionable information to them in support of their efforts to manage a different type of disaster: the COVID-19 pandemic. The potential of the system to support the County in this context is illustrated through several preliminary analyses of the complete set of service requests that were registered in the first ten months of 2020.
	Address	Virginia Tech; Virginia Tech; University of Central Florida
	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	duygu@vt.edu			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2326
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	Author	Enrique Caballero; Angel Madridano; Dimitrios Sainidis; Konstantinos Konstantoudakis; Petros Daras; Pablo Flores
	Title	An automated UAV-assisted 2D mapping system for First Responders			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	890-902
	Keywords	UAV, drone, 2D Mapping, Swarm, First Responders, Emergency Operations
	Abstract	Recent advances in the Unmanned Aerial Vehicles (UAVs) sector have allowed such systems to carry a range of sensors, thus increasing their versatility and adaptability to a wider range of tasks and services. Furthermore, the agility of these vehicles allows them to adapt to rapidly changing environments making them an effective tool for emergency situations. A single UAV, or a swarm working in collaboration, can be a handy and helpful tool for First Responders (FRs) during mission planning, mission monitoring, and the tracking of evolving risks. UAVs, with their on-board sensors, can, among other things, capture visual information of the disaster scene in a safe and quick manner, and generate an up-to-date map of the area. This work presents a system for UAV-assisted mapping optimized for FRs, including the generation of routes for the UAVs to follow, data collection and processing, and map generation.
	Address	Drone Hopper; Drone Hopper; Centre for Research & Technology, CERTH; Centre for Research & Technology, CERTH; Centre for Research & Technology, CERTH; Drone Hopper
	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	Technologies for First Responders	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	e.caballero@drone-hopper.com			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2381
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