ISCRAM Digital Library -- Query Results

	ISCRAM Digital Library Home \| Show All \| Simple Search \| Advanced Search	Login Quick Search: Field: contains: ...
	1–25 of 772 records found matching your query (RSS):

Search & Display Options

Select All Deselect All

<< 1 2 3 4 5 6 7 8 9 10 >> [11–20]

List View

Citations

Details

	Records
	Author	Patrick Lieser; Julian Zobel; Björn Richerzhagen; Ralf Steinmetz
	Title	Simulation Platform for Unmanned Aerial Systems in Emergency Ad Hoc Networks			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	Simulation Platform; Unmanned Aerial Vehicles; Delay Tolerant Networks; Emergency Ad Hoc Networks
	Abstract
	Address	Technical University Darmstadt, Germany
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T1- Analytical Modeling and Simulation	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1726
Share this record to Facebook



	Author	Radianti, Jaziar; Dokas, Ioannis; Lalone, Nicolas; Khazanchi, Deepak
	Title	20th ISCRAM Conference Proceedings			Type	Book Whole
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	ISCRAM 2023
	Volume		Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	979-8-218-21749-5	Medium
	Track	Proceedings	Expedition		Conference	20th International Conference on Information Systems for Crisis Response and Management
	Notes	http://dx.doi.org/10.59297%2FBLCZ5548			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2601
Share this record to Facebook



	Author	Michael Auer; Melanie Eckle; Sascha Fendrich; Luisa Griesbaum; Fabian Kowatsch; Sabrina Marx; Martin Raifer; Moritz Schott; Rafael Troilo; Alexander Zipf
	Title	Towards Using the Potential of OpenStreetMap History for Disaster Activation Monitoring			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	317-325
	Keywords	OpenStreetMap, OpenStreetMap History, Disaster management, Humanitarian OpenStreetMap Team, Street network analyses
	Abstract	“Over the last couple of years, the growing OpenStreetMap (OSM) data base repeatedly proved its potential for various use cases, including disaster management. Disaster mapping activations show increasing contributions, but oftentimes raise questions related to the quality of the provided \emph{Volunteered Geographic Information} (VGI). In order to better monitor and understand OSM mapping and data quality, we developed a software platform that applies big data technology to OSM full history data. OSM full history data monitoring allows detailed analyses of the OSM data evolution and the detection of remarkable patterns over time. This paper illustrates the specific potential of the platform for disaster activations by means of two case studies. Initial results demonstrate that our flexible and scalable platform structure enables fast and easy information extraction and supports mapping processes and data quality assurance.”
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Geospatial Technologies and Geographic Information Science for Crisis Management (GIS)	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2110
Share this record to Facebook



	Author	Alexander Gabriel; Florian Brauner; Andreas Lotter; Frank Fiedrich; Ompe Aimé Mudimu
	Title	The determination of critical components of European Rail Traffic Management systems towards cyber-attacks			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	291-303
	Keywords	Cyber Attack, (Counter-) Terrorism, Vulnerability, European Rail Traffic Management System (ERMTS), Railway Transport
	Abstract	“Recent events have shown the vulnerability of IT systems of companies, organizations or even governments to hacker attacks. At the same time, information technologies are becoming increasingly established and important in various industries (digitalization). With a view to the modern development of terrorism, cyber-attacks can be used to physically damage critical infrastructures (CI). This leads to a new dimension of cyber-attacks, which are called terrorist cyber-attacks. The following research contributes to the identification of weak information technology components of railway operating systems and thus improves the safety of public transportation in the context of the European railway traffic management system (ERTMS). The core of this paper is an extended literature research on security flaws in the ERTMS. The future introduction of a methodology for evaluating the criticality of information technology system components will build on this using cyber threats and public transportation as examples.”
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Cybersecurity Issues and Innoations for Crisis Response	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2108
Share this record to Facebook



	Author	Sammy Abdelghani Teffali; Nada Mattta; Eric Chatelet
	Title	Generating Crisis Situation by Using Ontology and Fuzzy Theory			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	Crisis, Fuzzy Theory, Ontology, Stress.
	Abstract	A crisis is a complex situation, difficult to manage by the actors. Some of them are under stress it is difficult to deal with problems when consequences cannot be predict. The human conditions (concerning familial and life) and, the influence of the environment related to politics, economic, and media pushe the actors to lose control of the crisis situation. The question we face in this paper is: ?is it possible to use the fuzzy theory for predicting the stress impact in crisis?? Our main hypothesis to represent experience feedback in a situation prediction in order to show negative consequences and correctness actions is taken account. Fuzzy theory concept is used in prediction in order to generate several situations.
	Address	University of technology of troyes, France
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T10- Knowledge, Semantics and AI for RISK and CRISIS management	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1852
Share this record to Facebook



	Author	Tobias Andersson Granberg; Sara Erlander; David Fredman; Lovisa Olovsson; Emma Persson
	Title	Predicting Volunteer Travel Time to Emergencies			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	44-54
	Keywords	Travel time modelling; Lay responder dispatch; Out-of-hospital cardiac arrest; Decision support; First response; Volunteer responders
	Abstract	A model is developed, which can predict the travel time for volunteers that are dispatched as first responders to emergencies. Specifically, the case of lay responders to out of hospital cardiac arrest is studied. Positions from historical responses is used to estimate the real response times, which are used to train and evaluate the new travel time model. The new model considers the road network and the transport mode most likely used by the volunteers. The results for the new model are compared to a model used in an existing volunteer initiative. They show that the new model can make better predictions in 59.7% of the cases. This can be used directly as a base for improving the travel time estimates in existing volunteer initiatives, and to improve the input data to the continuously evolving volunteer resource management systems.
	Address	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	Analytic Modeling and Simulation	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2398
Share this record to Facebook



	Author	Toshihiro Osaragi; Koji Ogino; Noriaki Hirokawa; Takuya Oki
	Title	Severity of Crowding at Evacuation Shelters after a Major Earthquake			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	22-43
	Keywords	large earthquake; evacuation shelter; building damage; water-supply failure; simulation; evacuation behavior
	Abstract	A number of residents are presumed to evacuate to shelters after a large earthquake. However, the congestion of evacuation shelters has not been enough discussed. In this paper, we propose an evacuation behavior model, which includes sub-models on building damage, water-supply failure, power failure, fire damage, and elevator stall. Using the model estimated using the survey data of the past earthquakes, we discuss the congestion of evacuation shelters under the assumption of Tokyo Bay northern earthquake. Finally, we discuss improvement of water pipes for earthquake resistance to reduce the congestion degree of evacuation shelters, which varies according to regional vulnerability.
	Address	Tokyo Institute of Technology
	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	2397
Share this record to Facebook



	Author	Sultan A. Alharthi; Nick LaLone; Ahmed S. Khalaf; Ruth Torres; Lennart Nacke; Igor Dolgov; Zachary O. Toups
	Title	Practical Insights into the Design of Future Disaster Response Training Simulations			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	818-830
	Keywords	Training, Simulation, Disaster Response, Coordination, Mixed Reality
	Abstract	A primary component of disaster response is training. These educational exercises provide responders with the knowledge and skills needed to be prepared when disasters happen. However, traditional training methods, such as high-fidelity simulations (e.g., real-life drills) and classroom courses, may fall short of providing effective and cost-efficient training that is needed for today's challenges. Advances in technology open a wide range of opportunities for training using computer-mediated simulations and exercises. These exercises include the use of mixed reality games and wearable computers. Existing studies report on the usefulness of these technologies for training purposes. This review paper synthesizes prior research and development of disaster response simulations and identifies challenges, opportunities, and lessons learned. Through this review, we provide researchers and designers with an overview of current practices in designing training simulations and contribute practical insights into the design of future disaster response training.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Case studies and reflections from practice	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2154
Share this record to Facebook



	Author	Björn JE Johansson; Amanda Jaber; Joeri van Laere; Peter Berggren
	Title	Crisis Response During Payment Disruptions – The Themes of TRAMS			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	264-275
	Keywords	Crisis Management, Payment Disruptions, Resilience, Thematic Analysis.
	Abstract	A qualitative analysis of observation protocols and audio recordings from 14 crisis response exercises has been conducted revealing eight themes reoccurring in multi-disciplinary team discussions about crisis response to large disruptions to the card payment system. The themes were: Coordinate and collaborate, Payment options, Cash circulation, Fuel and transportation, Security, Inform, communicate and the media, Hoarding and rationing, and Vulnerable groups. The analysis suggest that Swedish society is vulnerable to disruptions in the card payment services, largely due to a low diversity in payment options, the lack of prepared back up solutions for payment, and insufficient cash flows to support a cash only scenario. A longer (several days) disruption in the card payment system will demand coordinating mechanisms for information management, available payment options, and preparedness for rapid establishment of cash flows. Today, these mechanisms do not exist. Simulation exercises with stake-holders are an important mean for increasing awareness about these vulnerabilities and the challenges associated with coping with them.
	Address	Linköping University; Linköping University; Skövde University; Linköping 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	978-1-949373-27-26	ISBN	2411-3412	Medium
	Track	Command & Control Studies	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	bjorn.j.johansson@liu.se			Approved	no
	Call Number				Serial	2227
Share this record to Facebook



	Author	Cornelius Dold; Christopher Munschauer; Ompe Aimé Mudimu
	Title	Real-Life Exercises as a Tool in Security Research and Civil Protection – Options for Data Collections			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	244-250
	Keywords	Real-Life Exercises; Data Collection; Emergency Response; Civil Protection; Large-Scale Exercises
	Abstract	A real-life exercise is a scientific method used by the TH Köln to generate data sets of new technologies and operational concepts derived from research projects. The Institute of Rescue Engineering and Civil Protection (German acronym: IRG) uses a real-time locating system (RTLS), video surveillance, observers and a mass casualty incident benchmark to generate motion profiles, information flows and information on the quality of care. In this practitioner paper these different methods will be discussed and the combination of different data is described. Furthermore, an outlook is given on the extent to which the method will be improved and expand-ed in the future. Concluding it can be said that the combination of all collected data is essential for the evalua-tion of a real-life exercise in security research or civil protection.
	Address	TH Köln – University of Applied Sciences, Cologne; TH Köln – University of Applied Sciences, Cologne; TH Köln – University of Applied Sciences, Cologne
	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	978-1-949373-27-24	ISBN	2411-3410	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	cornelius.dold@th-koeln.de			Approved	no
	Call Number				Serial	2225
Share this record to Facebook



	Author	Tim Grant
	Title	Common Topics in C2 Doctrine for Emergency Management			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	56-68
	Keywords
	Abstract	A set of publications from the online, English-language, Emergency Management (EM) doctrine has been surveyed to identify common topics in Command & Control (C2) at the tactical and operational levels. Jackson's (2013) ontological and epistemological review of the evolution of military doctrine serves as the analytic lens, enabling a link to be made to resilience and agility. The topics identified were mapped to scientific disciplines in C2. The results could be used to draw up a recommended table of contents for comprehensive EM doctrine, to guide the development of curricula for training emergency managers, and to define the user requirements for supporting information systems. In further research, the results should be compared to a similar, ongoing survey of military C2 doctrine.
	Address	Retired But Active Researchers (R-BAR)
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Resilience to cope with the unexpected	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1691
Share this record to Facebook



	Author	Shalini Priya; Manish Bhanu; Sourav Kumar Dandapat; Joydeep Chandra
	Title	Mirroring Hierarchical Attention in Adversary for Crisis Task Identification: COVID-19, Hurricane Irma			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	609-620
	Keywords	Covid-19, Hurricane, Adversarial, Hierarchical attention, Support, Infrastructure Damage
	Abstract	A surge of instant local information on social media serves as the first alarming tone of need, supports, damage information, etc. during crisis. Identifying such signals primarily helps in reducing and suppressing the substantial impacts of the outbreak. Existing approaches rely on pre-trained models with huge historic information as well ason domain correlation. Additionally, existing models are often task specific and need auxiliary feature information.Mitigating these limitations, we introduce Mirrored Hierarchical Contextual Attention in Adversary (MHCoA2) model that is capable to operate under varying tasks of different crisis incidents. MHCoA2 provides attention by capturing contextual correlation among words to enhance task identification without relying on auxiliary information.The use of adversarial components and an additional feature extractor in MHCoA2 enhances its capability to achievehigher performance. MHCoA2 reports an improvement of 5-8% in terms of standard metrics on two real worldcrisis incidents over state-of-the-art.
	Address	Indian Institute of Technology Patna; Indian Institute of Technology Patna; Indian Institute of Technology Patna; Indian Institute of Technology Patna
	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	shalini.pcs16@iitp.ac.in			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2359
Share this record to Facebook



	Author	Laura Petersen; Grigore M. Havarneanu; Natasha McCrone; Garik Markarian; George Kolev
	Title	Universal Design & the PROACTIVE project CBRNe app			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	959-966
	Keywords	Smartphone Disaster App, CBRNe, vulnerable groups, cocreation, universal design
	Abstract	A wide range of disaster apps are currently available on various app stores, however few existing disaster apps address the issue of CBRNe (chemical, biological, radiological, nuclear and explosive) threats. The unique ways in which citizens prepare for and respond to CBRNe incidents merit that such an app exist. But citizens are not a homogenous group, and therefore the concept of universal design will be implemented when filling this gap. The EU H2020 PROACTIVE project will address this by co-creating together with citizens, including vulnerable groups, a disaster app able to be used during CBRNe incidents. This article lays out the methodology X will employ in order to create and validate the disaster app and states some core requirements already co-developed
	Address	Worldwide Railways Organisation (UIC); International Union of Railways; Rinisoft; Rinisoft; Rinisoft
	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	Usability and Universal Design of ICT for Emergency Management	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	petersen@uic.org			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2388
Share this record to Facebook



	Author	Nguyen Bang Tran; Mihai Tanase; Lauren Bennett; Cristina Aponte
	Title	Evaluation of spectral indices for assessing fire severity in Victorian temperate forests, Australia			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	213-222
	Keywords	Fire severity; spectral indices; obligate seeder; resprouter; temperate forests
	Abstract	ABSTRACT Victorian temperate forests, characterized by variable wildfire response traits, such an analysis is missing hindering fire impact estimation over large areas on operational basis. To close this gap, we have evaluated 10 remotely sensed indices across eight areas affected by wildfires in 1998, 2006, 2007, and 2009 which comprise 13 forest types. The analysis was carried out at forest type level and as a function of the regeneration strategies (seeders, basal and epicormic reporters) and structure (tree height and canopy cover) with the six forest groups. Index performance was evaluated by (i) examining index response across four fire severity levels, (ii) the separability index, and (iii) the optimality values analysis. A ranking scoring system was used to compare the index performance to distinguish among severity classes. Initial results demonstrated that there hasn't been a consistency of the best indices capacity but there a consistently worse index among forest groups.
	Address	School of Ecosystem and Forest Sciences, University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria 3121; School of Ecosystem and Forest Sciences, University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria 3121; School of Ecosystem and Forest Sciences, The University of Melbourne, 4 Water Street, Creswick, Victoria 3363, Australia; School of Ecosystem and Forest Sciences, The University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria 3121, Australia; Faculty of Environment, Vietnam National University of Agriculture; Department of Geology, Geography and Environment, University of Alcala, C. Colegios 2, Alcala de Henares 28801
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1683
Share this record to Facebook



	Author	Nasik Muhammad Nafi; Avishek Bose; Sarthak Khanal; Doina Caragea; William H. Hsu
	Title	Abstractive Text Summarization of Disaster-Related Documents			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	881-892
	Keywords	Disaster Reporting; Text Summarization; Information Extraction; Reinforcement Learning; Evaluation Metrics
	Abstract	Abstractive summarization is intended to capture key information from the full text of documents. In the application domain of disaster and crisis event reporting, key information includes disaster effects, cause, and severity. While some researches regarding information extraction in the disaster domain have focused on keyphrase extraction from short disaster-related texts like tweets, there is hardly any work that attempts abstractive summarization of long disaster-related documents. Following the recent success of Reinforcement Learning (RL) in other domains, we leverage an RL-based state-of-the-art approach in abstractive summarization to summarize disaster-related documents. RL enables an agent to find an optimal policy by maximizing some reward. We design a novel hybrid reward metric for the disaster domain by combining \underline{Vec}tor Similarity and \underline{Lex}icon Matching (\textit{VecLex}) to maximize the relevance of the abstract to the source document while focusing on disaster-related keywords. We evaluate the model on a disaster-related subset of a CNN/Daily Mail dataset consisting of 104,913 documents. The results show that our approach produces more informative summaries and achieves higher \textit{VecLex} scores compared to the baseline.
	Address	Kansas State University; Kansas State University; Kansas State University; Kansas State University; Kansas State University
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Amanda Hughes; Fiona McNeill; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-27-78	ISBN	2411-3464	Medium
	Track	Social Media for Disaster Response and Resilie	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	nnafi@ksu.edu			Approved	no
	Call Number				Serial	2279
Share this record to Facebook



	Author	Wang, R.; Li, N.
	Title	Revealing social disparities under natural disasters using large-scale mobility data: A dynamic accessibility perspective			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	797-807
	Keywords	Mobility; Natural Disaster; Social Disparity; Spatial Accessibility
	Abstract	Accessibility is an essential indicator for measuring the functions and equity of urban services, and could be harnessed to provide insights into the social disparities in urban residents’ interaction with urban services. In this study, we attempt to measure urban residents’ accessibility patterns to urban services during natural disasters using an improved gravity model method. Firstly, by analyzing human digital trace data in the Wilmington metropolitan area over three months, we assessed the residents’ accessibility levels of grocery stores and restaurants before, during and after Hurricane Florence, and captured the diverse trends of residents’ responses to the hurricane. Then, we identified and statistically tested the social disparities in residents’ accessibility behaviors in response to the hurricane. The findings may provide new insights for city planners and policymakers in terms of equity evaluations of resource accessibility and resource allocations among different communities and improvement of their resilience against natural disasters.
	Address	Department of Construction Management, Tsinghua University;
	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	Geospatial Technologies, Location Analytics, and Geographic Information Science	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/SNTX2451			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2567
Share this record to Facebook



	Author	Michael Aupetit; Muhammad Imran
	Title	Interactive Monitoring of Critical Situational Information on Social Media			Type	Conference Article
	Year	2017	Publication	Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2017
	Volume		Issue		Pages	673-683
	Keywords	Social media; disaster management; information visualization
	Abstract	According to many existing studies, the data available on social media platforms such as Twitter at the onset of a crisis situation could be useful for disaster response and management. However, making sense of this huge data coming at high-rate is still a challenging task for crisis managers. In this work, we present an interactive social media monitoring tool that uses a supervised classification engine and natural language processing techniques to provide a detailed view of an on-going situation. The tool allows users to apply various filtering options using interactive timelines, critical entities, and other logical operators to get quick access to situational information. The evaluation of the tool conducted with crisis managers shows its significance for situational awareness and other crisis management related tasks.
	Address	Qatar Computing Research Institute, HBKU Doha, Qatar
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Albi, France	Editor	Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN		Medium
	Track	Social Media Studies	Expedition		Conference	14th International Conference on Information Systems for Crisis Response And Management
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2055
Share this record to Facebook



	Author	Paulina Potemski; Nada Matta; Patrick Laclémence
	Title	Modelling Women's Living Conditions' in Violence using KM techniques			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	27-34
	Keywords	Women Conditions Life, Violence, Integrism Women Recruitment, Knowledge Management, Living Condition's Improvement, Tradition.
	Abstract	According to the United Nations Secretary General, gender equality has advanced in recent decades we are leaving in unprecedented global efforts to advance on women' empowerment. For example, girls' access to education has improved, the rate of child marriage declined and progress was made in the area of sexual and reproductive health and reproductive rights, including fewer maternal deaths. Nevertheless, gender equality remains a persistent challenge for countries worldwide and the lack of such equality is a major obstacle to sustainable development (Golombok et al, 1994, UNSG report, 2017). There are various inequity factors women confront. Women are the population that suffers most from different forms of discrimination. All of them root women's inferiority, women's dependence and as a matter of consequence, create a vicious circle of a domination system. Domination systems of men over women are all the more pernicious and harsher when combined with extreme poverty, remote living areas and conflicts. We discuss in this paper the fact that women are the population which underlive most difficult living conditions especially when violence and tradition are combined. Modelling life conditions put on the main factors of this violence and its consequences.
	Address	ICD, University of Technologie of Troyes, Troyes, France; ICD, University of Technologie of Troyes, Troyes, France; ICD, University of Technologie of Troyes, Troyes, France
	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	978-1-949373-27-3	ISBN	2411-3389	Medium
	Track	AI Systems for Crisis and Risks	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	paulina.potemski@utt.fr			Approved	no
	Call Number				Serial	2204
Share this record to Facebook



	Author	Laura Szczyrba; Yang Zhang; Duygu Pamukcu; Derya Ipek Eroglu
	Title	A Machine Learning Method to Quantify the Role of Vulnerability in Hurricane Damage			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	179-187
	Keywords	Vulnerability, Impact, Damage, Machine Learning, Hurricane María.
	Abstract	Accurate pre-disaster damage predictions and post-disaster damage assessments are challenging because of the complicated interrelationships between multiple damage drivers, including various natural hazards, as well as antecedent infrastructure quality and demographic characteristics. Ensemble decision trees, a family of machine learning algorithms, are well suited to quantify the role of social vulnerability in disaster impacts because they provide interpretable measures of variable importance for predictions. Our research explores the utility of an ensemble decision tree algorithm, Random Forest Regression, for quantifying the role of vulnerability with a case study of Hurricane Mar\'ia. The contributing predictive power of eight drivers of structural damage was calculated as the decrease in model mean squared error. A measure of social vulnerability was found to be the model's leading predictor of damage patterns. An additional algorithm, other methods of quantifying variable importance, and future work are discussed.
	Address	Virginia Tech; Virginia Tech; 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	978-1-949373-27-17	ISBN	2411-3403	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	17th International Conference on Information Systems for Crisis Response and Management
	Notes	lszczyrba@vt.edu			Approved	no
	Call Number				Serial	2218
Share this record to Facebook



	Author	Kaisa Riikka Ylinen; Juha Pekka Kilpinen
	Title	Calibrating Ensemble Forecasts to Produce More Reliable Probabilistic Extreme Weather Forecasts			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	1089-1097
	Keywords	Weather forecasts, probabilistic forecasting, statistical calibration, high impact weather events.
	Abstract	Accurate predictions of severe weather events are extremely important for society, economy, and environment. Due to the fact that weather forecasts are inherently uncertain, it is required to give information about forecast uncertainty to all users providing weather forecasts in probabilistic terms utilizing ensemble forecasts. Since ensemble forecasts tend to be under dispersive and biased, they need to be calibrated with statistical methods. This paper presents a method for the calibration of temperature forecasts using Gaussian regression, and the calibration of wind gust forecasts with a box-cox t-distribution method. Statistical calibration was made for the operational European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble prediction system (ENS) forecasts for lead times from 3 to 360 hours. The verification results showed that calibration improved both temperature and wind gust ensemble forecasts. The probabilistic temperature forecasts were better after calibration over whole lead time scale, but the probabilistic wind gust forecasts up to 240 hours.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT)	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2181
Share this record to Facebook



	Author	Hans C.A. Wienen; Faiza A. Bukhsh; Eelco Vriezekolk; Roel J. Wieringa
	Title	Applying Generic AcciMap to a DDOS Attack on a Western-European Telecom Operator			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	Telecommunications, AcciMap, accident analysis, incident analysis
	Abstract	After a large incident on a telecommunications network, the operator typically executes an incident analysis to prevent future incidents. Research suggests that these analyses are done ad hoc, without a structured approach. In this paper, we conduct an investigation of a large incident according to the AcciMap method. We find that this method can be applied to telecommunications networks with a few small changes; we find that such a structured approach yields many more actionable recommendations than a more focused approach and we find that both the onset of an incident and the resolution phase merit their own analysis. We also find that such an analysis costs a lot of effort and we propose a more efficient approach to using this method. An unexpected outcome was that AcciMap may also be very useful for analyzing crisis organizations.
	Address	University of Twente, Netherlands, The;Agentschap Telecom, The Netherlands
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T7- Planning, Foresight and Risk Analysis	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1925
Share this record to Facebook



	Author	Elmhadhbi Linda; Karray Mohamed Hedi; Archimède Bernard
	Title	Towards an Operational Emergency Response System for Large Scale Situations: POLARISC			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	778-785
	Keywords	Emergency response, Emergency Response System, Semantic interoperability, Ontology.
	Abstract	After a lot of recent natural and human-made disasters all over the word, the large scale emergency response process is becoming very critical and challenging. Lives can be lost and property can be harmed. To respond to these major threats, an effective operational emergency response system needs to address the necessity of data sharing, information exchange and correlation between different Emergency Responders (ERs) including firefighters, police, health care services, army, municipality and so on to successfully respond to large scale disasters. Therefore, the goal of this paper is to introduce POLARISC, an interoperable software solution based on a common and modular ontology shared by all the ERs. Its main objective is to solve the problem of semantic difference and heterogeneity of data to guarantee a common understanding among the various ERs in order to coordinate and to obtain a real time operational picture of the situation.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Universal Design of ICT in Emergency Management	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2150
Share this record to Facebook



	Author	Paige Maas; Shankar Iyer; Andreas Gros; Wonhee Park; Laura McGorman; Chaya Nayak; P. Alex Dow
	Title	Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	crisis mapping, crisis informatics, GIS, social media
	Abstract	After a natural disaster or other crisis, humanitarian organizations need to know where affected people are located and what resources they need. While this information is difficult to capture quickly through conventional methods, aggregate usage patterns of social media apps like Facebook can help fill these information gaps. In this paper, we describe the data and methodology that power Facebook Disaster Maps. These maps utilize information about Facebook usage in areas impacted by natural hazards, producing aggregate pictures of how the population is affected by and responding to the hazard. The maps include insights into evacuations, cell network connectivity, access to electricity, and long-term displacement. In addition to descriptions and examples of each map type, we describe the source data used to generate the maps, and efforts taken to ensure the security and privacy of Facebook users. We also describe limitations of the current methodologies and opportunities for improvement.
	Address	Facebook, United States of America
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T8- Social Media in Crises and Conflicts	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	1912
Share this record to Facebook



	Author	Hans Christian Augustijn Wienen; Faiza Allah Bukhsh; Eelco Vriezekolk; Roel J. Wieringa
	Title	Accident Analysis Methods and Models – a Systematic Review			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	398-408
	Keywords	Accident Analysis Methods and Models – a Systematic Review
	Abstract	After a risk has manifested itself and has led to an accident, valuable lessons can be learned that can be taken into account to reduce the risk of a similar accident occurring again. This calls for accident analysis methods. In the past 20 years a large number of accident analysis methods have been proposed and it is difficult to find the right method to apply in a specific circumstance. We conducted a review of the state of the art of accident analysis methods and models across domains. We classify the models using the well-known categorization into sequential, epidemiological and systemic methods. We find that these classes have their own characteristics in terms of speed of application versus pay-off. For optimum risk reduction, methods that take organizational issues into account can add valuable information to the risk management process in an organization.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Planning, Foresight and Risk Analysis	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2117
Share this record to Facebook



	Author	Abbas Ganji; Tom Wilson; Sonia Saveli; Dharma Dailey; Mark Haselkorn
	Title	Cause and Effect: A Qualitative Analysis of Obstacles to Information Sharing During a Regional Disaster Exercise			Type	Conference Article
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages
	Keywords	Information Sharing; Disaster Response; Qualitative Analysis; Collaboration; Coordination
	Abstract	After large-scale disasters, diverse partner agencies rely heavily on an information-sharing environment that supports collaborative work. In the U.S., this occurs under the Incident Command System (ICS), a structured organizational framework for coordinated action. We explore obstacles to information sharing and coordinationobserved at a county-level Emergency Operations Center (EOC) operating under ICS during the response phase of a large-scale regional disaster exercise. Textual observations collected in situ are analyzed for both the effect/manifestation and cause/source of barriers to information sharing. Two-thirds of barriers that manifest as computational issues are not caused by technology breakdowns, and a third caused by unclear processes manifest as computational issues. Overall, obstacles to collaborative work that appear to be related to computational issues are generally attributable to non-technical causes. This indicates that resources directed at improving collaborative management of disasters by enhancing technological capabilities are likely to be misdirected.
	Address	University of Washington, United States of America
	Corporate Author				Thesis
	Publisher	Iscram	Place of Publication	Valencia, Spain	Editor	Franco, Z.; González, J.J.; Canós, J.H.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-84-09-10498-7	Medium
	Track	T2- Command and control studies	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1848
Share this record to Facebook