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	Author	Øyvind Hanssen
	Title	Position Tracking in Voluntary Search and Rescue Operations			Type	Conference Article
	Year	2015	Publication	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2015
	Volume		Issue		Pages
	Keywords	GPS Tracking; Operational Picture; SAR; volunteers
	Abstract	This paper describes how enthusiasts from the radio-amateur and red-cross communities developed and applied position tracking to search and rescue services in Norway. This was based on the APRS standard which has been used by radio-amateurs for some time. The document describes how radio-amateurs designed a tracking device which was robust and simple to use along with a web-based online service, a map server, to display positions along with other geographical information on electronic maps. The software for the tracker and the map server is free and open source. This system has been used in a number of search and rescue missions in Norway since 2009, to support decisions making in the command and control centre.
	Address
	Corporate Author				Thesis
	Publisher	University of Agder (UiA)	Place of Publication	Kristiansand, Norway	Editor	L. Palen; M. Buscher; T. Comes; A. Hughes
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9788271177881	Medium
	Track	Geospatial Data and Geographical Information Science	Expedition		Conference	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1211
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	Author	Øyvind Hanssen
	Title	Improving Trails from GPS Trackers with Unreliable and Limited Communication Channels			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	489-502
	Keywords	GPS tracking, trails, Search and Rescue, APRS
	Abstract	In this document we explore position tracking in the context of land based search and rescue operations, where we also may have a limited and unreliable communication channel. This is the case when using APRS (amateur radio tracking) in voluntary SAR services in Norway. We have looked more closely into trails of movements and how to plot these on the map to present informative real-time pictures to the incident commanders. A simple scheme is proposed to improve trails by piggybacking positions at the end of regular transmissions.Experiments show that a significant amount of positions are recovered. In some cases this can recover useful information, though it depends on the actual situation.
	Address	Nord 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	Geospatial Technologies and Geographic Information Science for Crisis Management (GIS)	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	ohanssen@acm.org			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2350
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	Author	Zvonko Grzetic; Nenad Mladineo; Snjezana Knezic
	Title	Emergency management systems to accommodate ships in distress			Type	Conference Article
	Year	2008	Publication	Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2008
	Volume		Issue		Pages	669-678
	Keywords	Artificial intelligence; Civil defense; Decision support systems; Disasters; Geographic information systems; Information systems; Risk management; Decision support system (dss); Dss; Emergency management; Emergency management systems; European Parliament; Model-based OPC; Multi Criteria Analysis; Operational research; Ships
	Abstract	As a future member of the European Union (EU), Croatia has decided to implement EU Directive 2002/59/EC of the European Parliament and of the Council binding all EU member states to define places of refuge for ships in need of assistance off their coasts, or to develop techniques for providing assistance to such ships. Consequently, the Ministry of the Sea, Tourism, Transport and Development of the Republic of Croatia has initiated a project for developing an effective Decision Support System (DSS) for defining the places of refuge for ships in distress at sea. Such a system would include a model based upon GIS and different operational research models, which would eventually result in establishing an integral DSS. Starting points for analysis are shipping corridors, and 380 potential locations for places of refuge designated in the official navigational pilot book. Multicriteria analysis, with GIS-generated input data, would be used to establish worthiness of a place of refuge for each ship category, taking into account kinds of accident. Tables of available intervention resources would be made, as well as analysis of their availability in respect of response time, and quantitative and qualitative sufficiency.
	Address	Hydrographic Institute of the Republic of Croatia, Zrinsko-Frankopanska 161, 21000 Split, Croatia; University of Split, Faculty of Civil Engineering and Architecture, Matice hrvatske 15, 21000 Split, Croatia
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Washington, DC	Editor	F. Fiedrich, B. Van de Walle
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780615206974	Medium
	Track	Visualization and Smart Room Technology for Decision Making, Information Sharing, and Collaboration	Expedition		Conference	5th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	551
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	Author	Zou, H.P.; Caragea, C.; Zhou, Y.; Caragea, D.
	Title	Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	385-395
	Keywords	Crisis Tweet Classification; Semi-Supervised Few-Shot Learning; Pseudo-Labeling; TextMixUp.
	Abstract	The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and response organizations. However, supervised learning models for monitoring disaster events require large amounts of annotated data, making them unrealistic for real-time use in disaster events. To address this challenge, we present a fine-grained disaster tweet classification model under the semi-supervised, few-shot learning setting where only a small number of annotated data is required. Our model, CrisisMatch, effectively classifies tweets into fine-grained classes of interest using few labeled data and large amounts of unlabeled data, mimicking the early stage of a disaster. Through integrating effective semi-supervised learning ideas and incorporating TextMixUp, CrisisMatch achieves performance improvement on two disaster datasets of 11.2% on average. Further analyses are also provided for the influence of the number of labeled data and out-of-domain results.
	Address	University of Illinois Chicago; Kansas State 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	Social Media for Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/FWXE4933			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2533
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	Author	Zoltán Balogh; Emil Gatial; Ladislav Hluchý
	Title	Poll Sourcing for Crisis Response			Type	Conference Article
	Year	2016	Publication	ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2016
	Volume		Issue		Pages
	Keywords	Crowd-Sourcing; Interoperability; Poll-Sourcing
	Abstract	During large scale crisis response operations there is an acute and continuous need to efficiently and quickly allocate a dynamically changing supply of resources. In this paper we are proposing a system, which uses polls to seamlessly discover, request, collect and aggregate information from engaged resource providers using the web or mobile devices. At the same time we aim to integrate information from sources such as sensors deployed on incident sites, publicly available open data, corporate legacy systems or documents stored on remote locations. The overall process of such Poll Sourcing also encompasses reservation and order of suitable resources. We provide a validation scenario concerning reservation of hospital beds during a mass casualty incident.
	Address
	Corporate Author				Thesis
	Publisher	Federal University of Rio de Janeiro	Place of Publication	Rio de Janeiro, Brasil	Editor	A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3388	ISBN	978-84-608-7984-9	Medium
	Track	Emerging Topics	Expedition		Conference	13th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1417
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	Author	Zoha Sheikh; Hira Masood; Sharifullah Khan; Muhammad Imran
	Title	User-Assisted Information Extraction from Twitter During Emergencies			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	684-691
	Keywords	social media; disaster response; query expansion; supervised learning
	Abstract	Disasters and emergencies bring uncertain situations. People involved in such situations look for quick answers to their rapid queries. Moreover, humanitarian organizations look for situational awareness information to launch relief operations. Existing studies show the usefulness of social media content during crisis situations. However, despite advances in information retrieval and text processing techniques, access to relevant information on Twitter is still a challenging task. In this paper, we propose a novel approach to provide timely access to the relevant information on Twitter. Specifically, we employee Word2vec embeddings to expand initial users queries and based on a relevance feedback mechanism we retrieve relevant messages on Twitter in real-time. Initial experiments and user studies performed using a real world disaster dataset show the significance of the proposed approach.
	Address	National University of Sciences and Technology, Islamabad, Pakistan; 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				Serial	2056
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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	Zijun Long; Richard McCreadie
	Title	Is Multi-Modal Data Key for Crisis Content Categorization on Social Media?			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	1068-1080
	Keywords	Social Media Classification; Multi-modal Learning; Crisis Management; Deep Learning, BERT; Supervised Learning
	Abstract	The user-base of social media platforms, like Twitter, has grown dramatically around the world over the last decade. As people post everything they experience on social media, large volumes of valuable multimedia content are being recorded online, which can be analysed to help for a range of tasks. Here we specifically focus on crisis response. The majority of prior works in this space focus on using machine learning to categorize single-modality content (e.g. text of the posts, or images shared), with few works jointly utilizing multiple modalities. Hence, in this paper, we examine to what extent integrating multiple modalities is important for crisis content categorization. In particular, we design a pipeline for multi-modal learning that fuses textual and visual inputs, leverages both, and then classifies that content based on the specified task. Through evaluation using the CrisisMMD dataset, we demonstrate that effective automatic labelling for this task is possible, with an average of 88.31% F1 performance across two significant tasks (relevance and humanitarian category classification). while also analysing cases that unimodal models and multi-modal models success and fail.
	Address	University of Glasgow; University of Glasgow
	Corporate Author				Thesis
	Publisher		Place of Publication	Tarbes, France	Editor	Rob Grace; Hossein Baharmand
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-82-8427-099-9	Medium
	Track	Social Media for Crisis Management	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2472
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	Author	Zhou Sen; Bartel A. Van De Walle
	Title	How intellectual capital reduces stress on organizational decision-making performance: The mediating roles of task complexity and time pressure			Type	Conference Article
	Year	2014	Publication	ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2014
	Volume		Issue		Pages	220-224
	Keywords	Decision making; Information systems; Knowledge management; Decision-making performance; Intellectual capital; Mediating roles; Organizational decision making; Reduced complexity; Structural equation modeling; Task complexity; Time pressures; Behavioral research
	Abstract	Previous research claimed that organizational stress, due to task complexity and time pressure, leads to considerably negative effects on the decision-making performance of individuals and organizations. At the same time, intellectual capital (IC), in providing intangible internal and external organizational assets has a positive effect on organizational decision-making performance. This paper develops a structural equation model to analyze the relationships among IC, task complexity, time pressure and decision-making performance. Empirical data are collected from 374 participants, who are from universities, institutes, enterprises, government, with different occupations and expertise. We present two conclusions. First, IC consisting of internal capital, human capital and external capital leads to a reduced complexity of tasks and reduced time pressure and hence reduced organizational stress. Second, reduced organizational stress results in higher levels of performance for organizational decision-making.
	Address	Harbin Engineering University, China; Tilburg University, Netherlands
	Corporate Author				Thesis
	Publisher	The Pennsylvania State University	Place of Publication	University Park, PA	Editor	S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780692211946	Medium
	Track	Decision Support Systems	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	937
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	Author	Zhenyu Yu; Chuanfeng Han; Ma Ma
	Title	Emergency decision making: A dynamic approach			Type	Conference Article
	Year	2014	Publication	ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2014
	Volume		Issue		Pages	240-244
	Keywords	Decision theory; Fires; Information systems; Markov processes; Risk management; Decision problems; Dynamic approaches; Dynamic decision making; Dynamic decision problem; Effective management; Emergency decision makings; Emergency management; Markov Decision Processes; Decision making
	Abstract	The dynamic nature of emergency decision making exerts difficulty to decision makers for achieving effective management. In this regard, we suggest a dynamic decision making model based on Markov decision process. Our model copes with the dynamic decision problems quantitatively and computationally, and has powerful expression ability to model the emergency decision problems. We use a wildfire scenario to demonstrate the implementation of the model, as well as the solution to the firefighting problem. The advantages of our model in emergency management domain are discussed and concluded in the last.
	Address	School of Economics and Management, Tongji University, China; Institute of Public Safety Research, Tsinghua University, China
	Corporate Author				Thesis
	Publisher	The Pennsylvania State University	Place of Publication	University Park, PA	Editor	S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780692211946	Medium
	Track	Decision Support Systems	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1134
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	Author	Zhenke Yang; Leon J.M. Rothkrantz
	Title	Emotion sensing for context sensitive interpretation of crisis reports			Type	Conference Article
	Year	2007	Publication	Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers	Abbreviated Journal	ISCRAM 2007
	Volume		Issue		Pages	507-514
	Keywords	Computer science; Computers; Fusion reactions; Context sensitive; Emergent interpretation; Emotion; Emotion modeling; Emotional quality; Environmental agency; Multi-modal; Scenario scripts; Quality control
	Abstract	The emotional qualities of a report play an important role in the evaluation of eye witness reports in crisis centers. Human operators in the crisis center can use the amount of anxiety and stress detected in a spoken report to rapidly estimate the possible impact and urgency of a report and the appropriate response to the reporter. This paper presents ongoing work in automated multi-modal emotion sensing of crisis reports in order to reduce the cognitive load on human operators. Our approach is based on the work procedures adopted by the crisis response center Rijnmond environmental agency (DCMR) and assumes a spoken dialogue between a reporter and a crisis control center. We use an emotion model based on conceptual graphs that is continually evaluated while the dialogue continues. We show how the model can be applied to interpret crisis report in a fictional toxic gas dispersion scenario.
	Address	Man-Machine-Interaction Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628CD Delft, Netherlands
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Delft	Editor	B. Van de Walle, P. Burghardt, K. Nieuwenhuis
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789054874171; 9789090218717	Medium
	Track	EMOT	Expedition		Conference	4th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1123
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	Author	Zewei Zhang; Hongyong Yuan; Lida Huang
	Title	Study on the Utility of Emergency Map in Emergency Response			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	377-387
	Keywords	Emergency Map, communication model, group communication mode, order degree, information transfer efficiency.
	Abstract	As modern cities expand rapidly, the loss of emergency has been more serious. To reduce or even avoid losses caused by disasters, using emergency maps to collect, aggregate, analyze, and communicate information is a prerequisite for efficient response. In this paper, we analyzed the impact factors of information transfer efficiency, and constructed the communication model provided by Emergency Map. By comparing the difference with case deduction between the traditional communication mode in emergency response and the new communication mode based on Emergency Map, which is called Group Communication Mode. We proved the Group Communication Mode had the advantages to improve information transfer efficiency in emergency response. Emergency Map can be an effective tool for the timely transfer of information among departments, which put forward a novel communication mode in emergency decision-making process.
	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	2115
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	Author	Zeno Franco; Syed Ahmed; Craig E. Kuziemsky; Paul A. Biedrzycki; Anne Kissack
	Title	Using social network analysis to explore issues of latency, connectivity, interoperability & sustainability in community disaster response			Type	Conference Article
	Year	2013	Publication	ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2013
	Volume		Issue		Pages	896-900
	Keywords	Data fusion; Disasters; Information systems; Mergers and acquisitions; Social networking (online); Boundary spanning; Community engagement; Community resources; Community vulnerability; Crisis response; Disaster recovery; Disaster response; Social network analysis approaches; Emergency services
	Abstract	Community-based disaster response is gaining attention in the United States because of major problems with domestic disaster recovery over the last decade. A social network analysis approach is used to illustrate how community-academic partnerships offer one way to leverage information about existing, mediated relationships with the community through trusted actors. These partnerships offer a platform that can be used to provide entré into communities that are often closed to outsiders, while also allowing greater access to community embedded physical assets and human resources, thus facilitated more culturally appropriate crisis response. Using existing, publically available information about funded community-academic partnerships in Wisconsin, USA, we show how social network analysis of these meta-organizations may provide critical information about both community vulnerabilities in disaster and assist in rapidly identifying these community resources in the aftermath of a crisis event that may provide utility for boundary spanning crisis information systems.
	Address	Medical College of Wisconsin, United States; U. Ottawa, Canada; City of Milwaukee Public Health Department, United Kingdom
	Corporate Author				Thesis
	Publisher	Karlsruher Institut fur Technologie	Place of Publication	KIT; Baden-Baden	Editor	T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9783923704804	Medium
	Track	Social Media	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	504
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	Author	Zeno Franco; Nina Zumel; Larry E. Beutler
	Title	A ghost in the system: Integrating conceptual and methodology considerations from the behavioral sciences into disaster technology research			Type	Conference Article
	Year	2007	Publication	Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers	Abbreviated Journal	ISCRAM 2007
	Volume		Issue		Pages	115-124
	Keywords	Disaster prevention; Information science; Network security; Social sciences; Civil security; Comparative methods; Conceptual frameworks; Disaster management; Disaster technologies; Federal governments; Performance assessment; Scientific inquiry; Disasters
	Abstract	As the complexity of disasters increases, a transdisciplinary conceptual framework designed to address three key variables-technology, disaster severity, and human characteristics-must be developed and elaborated. Current research at the nexus of disaster management and information science typically addresses one or two of these factors, but rarely accounts for all three adequately-thus rendering formal inquiry open to a variety of threats to validity. Within this tripartite model, several theories of human behavior in disaster are explored using the response of the Federal Government and the general public during Hurricane Katrina as an illustrative background. Lessons learned from practice-based scientific inquiry in the social sciences are discussed to address concerns revolving around measurement and statistical power in disaster studies. Finally, theory building within the transdisciplinary arena of disaster management and information science is encouraged as a way to improve the quality of future research.
	Address	Pacific Graduate School of Psychology, United States; Quimba Software, United States
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Delft	Editor	B. Van de Walle, P. Burghardt, K. Nieuwenhuis
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789054874171; 9789090218717	Medium
	Track	METH	Expedition		Conference	4th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	505
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	Author	Zeno Franco; Nina Zumel; John Holman; Kathy Blau; Larry E. Beutler
	Title	Evaluating the impact of improvisation on the incident command system: A modified single case study using the DDD simulator			Type	Conference Article
	Year	2009	Publication	ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives	Abbreviated Journal	ISCRAM 2009
	Volume		Issue		Pages
	Keywords	Behavioral research; Disaster prevention; Disasters; Human resource management; Information systems; Risk management; Simulators; Improvisation; Incident command systems; Performance assessment; Psychology; Simulation; Intelligent control
	Abstract	This study attempted to evaluate the utility of the Incident Command System (ICS) in varying disaster contexts. ICS is mandated in the United States and practitioners assert that it is an effective organizing system for emergency management. However, researchers contend that the utility of ICS is conflated with inter-team familiarity gained during ICS exercises. A military team-in-the-loop simulator was customized to represent the problems, resources, and command structures found in civilian led disaster management teams. A modified single case design drawn from behavioral psychology was used to explore possible casual relationships between changes team heterogeneity and performance. The design also allowed for the evaluation of improvisation on performance. Further, psychological factors that may underpin improvisation were explored. In addition to some preliminary empirical findings, the successes and difficulties in adapting the DDD simulator are briefly discussed as part of an effort to achieved greater interdisciplinary integration.
	Address	Pacific Graduate School of Psychology, United States; Quimba Software, United States
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Gothenburg	Editor	J. Landgren, S. Jul
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789163347153	Medium
	Track	Research Methods	Expedition		Conference	6th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	506
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	Author	Zeno Franco; Katinka Hooyer; Tanvir Roushan; Casey O'Brien; Nadiyah Johnson; Bill Watson; Nancy Smith-Watson; Bryan Semaan; Mark Flower; Jim Tasse; Sheikh Iqbal Ahamed
	Title	Detecting & Visualizing Crisis Events in Human Systems: an mHealth Approach with High Risk Veterans			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	874-885
	Keywords	Mental health crisis, computational psychology, wearable sensors, aggression, veterans
	Abstract	Designing mHealth applications for mental health interventions has largely focused on education and patient self-management. Next generation applications must take on more complex tasks, including sensor-based detection of crisis events, search for individualized early warning signs, and support for crisis intervention. This project examines approaches to integrating multiple worn sensors to detect mental health crisis events in US military veterans. Our work has highlighted several practical and theoretical problems with applying technology to evaluation crises in human system, which are often subtle and difficult to detect, as compared to technological or natural crisis events. Humans often do not recognize when they are in crisis and under-report crises to prevent reputational damage. The current project explores preliminary use of the E4 Empatica wristband to characterize acute aggression using a combination of veteran self-report data on anger, professional actors simulating aggressive events, and preliminary efforts to discriminate between crisis data and early warning sign data.
	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	Community Engagement & Healthcare Systems	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2159
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	Author	Zeno Franco; Katinka Hooyer; Rizwana Rizia; A B M Kowser Patwary; Mathew Armstrong; Bryan Semaan; Craig Kuziemsky; Bob Curry; Sheikh Ahamed
	Title	Dryhootch Quick Reaction Force: Collaborative Information Design to Prevent Crisis in Military Veterans			Type	Conference Article
	Year	2016	Publication	ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2016
	Volume		Issue		Pages
	Keywords	Veterans; Psychological Crisis; Mhealth; Peer Support; Collaborative Design
	Abstract	Crises range from global catastrophes to personal disasters. However, systematic inquiry on crises rarely employs a comparative approach to examine commonalities between these seemingly very different events. We argue here that individual psychosocial disasters can inform a broader discussion on crises. Our approach applies general crisis theory to a smartphone based psychosocial support system for US military veterans. We engaged in a process designed to explore how veteran peer-to-peer mentorship can be augmented with IS support to display potential early warning signs as first step toward preventative intervention for high risk behaviors. To gain a better understanding of how military veterans might benefit from such a system, this article focuses on a community collaborative design process. The co-design process used the Small Stories method, allowing important cultural characteristics of to emerge, illuminating considerations in IS design with military veterans, and highlighting how humans think about crisis events at the individual level.
	Address
	Corporate Author				Thesis
	Publisher	Federal University of Rio de Janeiro	Place of Publication	Rio de Janeiro, Brasil	Editor	A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3388	ISBN	978-84-608-7984-9	Medium
	Track	Community Engagement and Practitioner Studies	Expedition		Conference	13th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1405
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	Author	Zeno Franco; José J. González; José H. Canós
	Title	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management			Type	Conference Volume
	Year	2019	Publication	Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management	Abbreviated Journal	Iscram 2019
	Volume		Issue		Pages	1447
	Keywords
	Abstract	The theme of ISCRAM 2019 is Towards individual-centric emergency management systems. This edition wishes to highlight the particular needs of the individual stakeholder in Crisis and Emergency Management and to stimulate discussions that enable the design of individual-centric crisis and emergency management systems.
	Address
	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	Proceeding	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2201
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	Author	Zeno Franco; Chris Davis; Adina Kalet; Michelle Horng; Johnathan Horng; Christian Hernandez; Karen Dotson; Andrew Yaspan; Ajay Kumar; Bas Lijnse
	Title	Augmenting Google Sheets to Improvise Community COVID-19 Mask Distribution			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	359-375
	Keywords	Logistics, face masks, Google Sheets, modular software, community engagement
	Abstract	Face mask scarcity in the United States hindered early infection control efforts during the COVID-19 pandemic. Areas with a history of racial segregation and poverty experienced differential COVID-19 death and morbidity rates. Supplying masks equitably and rapidly became an urgent public health priority. A partnership between a local manufacturer with available polypropylene fabric and the Medical College of Wisconsin, which had the capability to assemble and distribute masks, was formed in April, 2020. An improvised logistics framework allowed for rapid distribution more than 250,000 masks, and later facilitated hand-off to other organizations to distribute over 3 million masks. Using an action research framework three phases of the effort are considered, 1) initial deliveries to community clinics, 2) equitable distribution to community agencies while under “safer at home” orders, and 3) depot deliveries and transfer of logistics management as larger agencies recovered. A multi-actor view was used to interrogate the information needs of faculty and staff remotely directing distribution, medical student volunteers delivering masks, and the manufacturer monitorng overall inventory. Logistics information was managed using Google Sheets augmented with a small SQLite component. A phenomenological view, toggling back and forth from the “socio” to the “technical” provides detailed insight into the strengths and limitations of digital solutions for humanitarian logistics, highlighting where paper-based processes remain more efficient. This case study suggests that rather than building bespoke logistics software, supporting relief efforts with non-traditional responders may benefit from extensible components that augment widely used digital tools.
	Address	Medical College of Wisconsin; Medical College of Wisconsin; Medical College of Wisconsin; Marquette University; Medical College of Wisconsin; Medical College of Wisconsin; Medical College of Wisconsin; Code for Milwaukee; University of Muenster; Netherlan
	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	zfranco@mcw.edu			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2339
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	Author	Zeleskidis, A.; Chalarampidou, S.; Dokas, I.M.; Torra, F.
	Title	COBOT Safety Awareness: A RealTSL Demonstration in a Simulated System			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	874-891
	Keywords	COBOT; Safety Awareness; STAMP; Simulation; Safety Level
	Abstract	This work aims to propose the RealTSL methodology to empower collaborative robotic systems with self-safety awareness capability and address the methodology's limitation in determining time ranges for the unsafe system state transitions, which are inputs of the methodology. The COBOT system used in this paper to demonstrate RealTSL is an automated scissor lift robot to be used by first responders for “work at height,” simulated in Simulink™. The demonstration begins by 1) applying STPA to the system, 2) applying Early Warning Sign Analysis based on STAMP (EWaSAP), 3) creating an acyclic diagram that depicts system state transitions towards unsafe states, 4) incorporating the appropriate sensory equipment in the simulation, 5) simulating the system's operation for different scenarios using fault injection and finally 6) use information from the simulations to complete the RealTSL analysis and calculate the safety level of the system in real-time during its simulated operation.
	Address	Democritus University of Thrace
	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	Collaborative Robots for Emergency Situations	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/UTNC4052			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2572
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	Author	Zelenka, J.; Kasanický, T.š; Gatial, E.; Balogh, Z.; Majlingová, A.; Brodrechtova, Y.; Kalinovská, S.; Rehák, R.; Semet, Y.; Boussu, G.
	Title	Coordination of Drones Swarm for Wildfires Monitoring			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	144-151
	Keywords	Forest Fire; Wildfires; Drone; Fire Protection; Fire Monitoring
	Abstract	As a result of climate change and global weather patterns, large forest fires are becoming more frequent in different parts of the world. The focus of the presented work is on creation of a complex coordination and communication framework for a swarm of drones specially tailored for use in preventing and monitoring of forest fires. The presented algorithm has been testing and evaluating using a computer simulation. The testing and validation in relevant environment is scheduled during a pilot demonstration exercise with real personnel and equipment, which will take place in Slovakia on April 2023. The presented work is a part of the SILVANUS EU H2020 project, whose objective is the creation of a climate resilient forest management platform for forest fire prevention and suppression. SILVANUS draws on environmental, technical, and social science experts to support regional and national authorities responsible for forest fire management in their respective countries.
	Address	Institute of Informatics, Slovak Academy of Sciences; Technical University in Zvolen, College of Forestry, Department of Forest Economics and Management; 3MON, Ivanská cesta 2, 82104; Thales Research and Technology
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN	2411-3387	ISBN	979-8-218-21749-5	Medium
	Track	Technologies for First Responders	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/MUJT3755			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2513
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	Author	Završnik, J.; Vošner, H.B.žun; Kokol, P.
	Title	Pandemic crisis management: The EU project STAMINA			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	1070-1070
	Keywords	Pandemic; Crisis Management; STAMINA Project
	Abstract	Pandemics, as COVID-19 showed, can have the potential to result in serious global health threats and crises. Management of such kind of crisis presents a serious challenge due to the number of affected people, differences in legal, administrative, health procedures, political cultures, and the lack of smart interconnected, and compatible digitalized software tolls. The aim of the STAMINA project, sponsored by EU, was to overcome the above challenges and support efficient and effective pandemic management by providing Artificial intelligence-based decision-support technology which could successfully operate at a regional, national, and global level. The project targeted three stages of the emergency management cycle: Prediction, Preparedness, and Response. The STAMINA solution provides national planners, regional crisis management agencies, first responders, and citizens with new tools as well as a clear guide to how they can be used in line with international standards and legislation.
	Address	Community Healthcare Center dr. Adolf; University of Maribor
	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	Posters and Demonstrations	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2590
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	Author	Zainab Akhtar; Ferda Ofli; Muhammad Imran
	Title	Towards Using Remote Sensing and Social Media Data for Flood Mapping			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	536-551
	Keywords	Flood mapping, social media, Satellite imagery, Remote sensing
	Abstract	Ghana's capital, the Greater Accra Metropolitan Area (GAMA) is most vulnerable to flooding due to its high population density. This paper proposes the fusion of satellite imagery, social media, and geospatial data to derive near real-time (NRT) flood maps to understand human activity during a disaster and the extent of infrastructure damage. To that end, the paper presents an automatic thresholding technique for NRT flood mapping using Sentinel-1 images where four different speckle filters are compared using the VV, VH and VV/VH polarization to determine the best polarization(s) for delineating flood extents. The VV and VH bands together on Perona-Malik filtered images achieved the highest accuracy with an F1-score of 81.6%. Moreover, all tweet text and images were found to be located in flooded regions or in very close proximity to a flooded region, thus allowing crisis responders to better understand vulnerable communities and what humanitarian action is required.
	Address	Qatar Computing Research Institute; Qatar Computing Research Institute; Qatar Computing Research Institute
	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	zakhtar@hbku.edu.qa			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2354
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	Author	Zahra Ashktorab; Christopher Brown; Manojit Nandi; Aron Culotta
	Title	Tweedr: Mining twitter to inform disaster response			Type	Conference Article
	Year	2014	Publication	ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2014
	Volume		Issue		Pages	354-358
	Keywords	Data mining; Disaster prevention; Disasters; Extraction; Filtration; Information systems; Social networking (online); Classification methods; Disaster response; Extraction phase; Logistic regressions; Natural disasters; Social media; Specific information; Text mining; Emergency services
	Abstract	In this paper, we introduce Tweedr, a Twitter-mining tool that extracts actionable information for disaster relief workers during natural disasters. The Tweedr pipeline consists of three main parts: classification, clustering and extraction. In the classification phase, we use a variety of classification methods (sLDA, SVM, and logistic regression) to identify tweets reporting damage or casualties. In the clustering phase, we use filters to merge tweets that are similar to one another; and finally, in the extraction phase, we extract tokens and phrases that report specific information about different classes of infrastructure damage, damage types, and casualties. We empirically validate our approach with tweets collected from 12 different crises in the United States since 2006.
	Address	University of Maryland, College Park, United States; University of Texas, Austin, United States; Carnegie Mellon University, United States; Illinois Institute of Technology, United States
	Corporate Author				Thesis
	Publisher	The Pennsylvania State University	Place of Publication	University Park, PA	Editor	S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780692211946	Medium
	Track	Humanitarian Information Systems	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	275
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	Author	Zachary Sutherby; Brian Tomaszewski
	Title	Conceptualizing the Role Geographic Information Capacity has on Quantifying Ecosystem Services under the Framework of Ecological Disaster Risk Reduction (EcoDRR)			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	326-333
	Keywords	Disaster Risk Reduction, Ecosystem Services, Geographic Information Capacity, Hazards.
	Abstract	The use of ecosystems for EcoDRR is a beneficial and a viable option for community stakeholders. For example, ecosystems can mitigate the effects of hazards experienced in anthropogenic communities. Ecosystem services are the underlying reason for this benefit. EcoDRR is the idea of sustainable management, conservation, and restoration of ecosystems to maximize ecosystem services and reduce disaster risks and impacts. The use of geospatial technologies to monitor large-scale ecosystems are often subject to Geographic Information Capacity (GIC), or the ability of ecosystem stakeholders to utilize all existing geographic information, resources, and capacities to monitor ecosystem services. Though these tools are useful, currently there is not a tool that specifically quantifies ecosystem services in the context of DRR. The main contribution of this paper is a conceptual framework intended to quantify ecosystem services in the context of EcoDRR.
	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	2111
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