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Author (up) Alison J. Hayes; Jessica Lancaster; Zeno Franco; Anne Kissack
Title Disaster medical education & simulated crisis events: A translational approach Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords Human resource management; Information systems; Medical education; Medical problems; Personnel training; Students; Disaster medicine; Evidence-based; Serious gaming; Team-in-the-loop simulation; Translational science; Disasters
Abstract This review addresses current educational and research efforts in disaster medical education (DME) in the United States. Since the events of 9/11, DME has received greater attention. However substantial problems remain in terms of ensuring that large numbers of medical students and residents are exposed to high quality DME – not only Emergency Medicine residents. Barriers to widespread adoption of DME include lack of performance metrics, disagreement task areas, and lack of emphasis on physician leadership. Further, such efforts must ensure retention of key information over periods that are disaster free; utilize objective training metrics that will allow for an evidence base to form; and develop low cost, scalable training approaches that offer greater fidelity to the disaster environment than classroom based instruction. To improve the state of the art, we argue that DME research must move toward a translational science model that integrates important advances in basic information science into application that improve the clinical performance of frontline medical staff who are called on to respond to individual and community needs in the aftermath of disaster. Mid-fidelity, team-in-the-loop simulations developed for disaster manager training may provide an avenue toward improved DME by exposing medical students to scenarios that fundamentally challenge their assumptions in real-time game play. This can be accomplished with lower costs and greater scalability than live exercise or mock-up training approaches. © 2012 ISCRAM.
Address Medical College of Wisconsin, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Healthcare Crisis Management Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 125
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Author (up) Leon J.M. Rothkrantz; Jozef Ristvej.; Zeno Franco
Title Message from the program chairs Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved
Call Number Serial 893
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Author (up) Md Fitrat Hossain; Thomas Kissane; Priyanka Annapureddy; Wylie Frydrychowicz; Sheikh Iqbal Ahamed; Naveen Bansal; Praveen Madiraju; Niharika Jain; Mark Flower; Katinka Hooyer; Lisa Rein; Zeno Franco
Title Implementing Algorithmic Crisis Alerts in mHealth Systems for Veterans with PTSD 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 122-133
Keywords Crisis; Machine Learning Algorithms; mHealth; PTSD
Abstract This paper seeks to establish a machine learning driven method by which a military veteran with Post-Traumatic Stress Disorder (PTSD) is classified as being in a crisis situation or not, based upon a given set of criteria. Optimizing alerting decision rules is critical to ensure that veterans at highest risk for mental health crisis rapidly receive additional attention. Subject matter experts in our team (a psychologist, a medical anthropologist, and an expert veteran), defined acute crisis, early warning signs and long-term crisis from this dataset. First, we used a decision tree to find an early time point when the peer mentors (who are also veterans) need to observe the behavior of veterans to make a decision about conducting an intervention. Three different machine learning algorithms were used to predict long term crisis using acute crisis and early warning signs within the determined time point.
Address Marquette University; Marquette University; Marquette University; Marquette University; Marquette University; Marquette University; Marquette University; Marquette University; Mental Health America; Medical College of Wisconsin; Medical College of Wisconsin; Medical College of Wisconsin
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 978-1-949373-27-12 ISBN 2411-3398 Medium
Track AI Systems for Crisis and Risks Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes mdfitrat.hossain@marquette.edu Approved no
Call Number Serial 2213
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Author (up) Olawunmi George; Rizwana Rizia; MD Fitrat Hossain; Nadiyah Johnson; Carla Echeveste; Jose Lizarraga Mazaba; Katinka Hooyer; Zeno Franco; Mark Flower; Praveen Madiraju; Lisa Rein
Title Visualizing Early Warning Signs of Behavioral Crisis in Military Veterans: Empowering Peer Decision Support 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, mental health, visualization, veterans, clinical decision
Abstract Several attempts have been made at creating mobile solutions for patients with mental disorders. A preemptive approach would definitely outdo a reactive one. This project seeks to ensure better crisis detection, by assigning patients (veterans) to caregivers (mentors). This is called the mentor-mentee approach. Enhanced with the use of mobile technology, veterans can stay connected in their daily lives to mentors, who have gone through the same traumatic experiences and have overcome them. A mobile application for communication between veterans and their mentors has been developed, which helps mentors get constant feedback from their mentees about their state of well-being. However, being able to make good deductions from the data given as feedback is of great importance. Under-represent ing or over-representing the data could be dangerously misleading. This paper presents the design process in this project and the key things to note when designing a data visualization for

timely crisis detection and decision-making.
Address Marquette University;Medical College of Wisconsin;Dryhootch 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 T11- Community Engagement & Healthcare Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1948
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Author (up) Syed Ahmed; Paul A. BiedrzyckiA.; Shannon Opel; David A. Nelson; Marie G. Sandy; Zeno Franco
Title Community engagement for translational disaster research: Fostering public, private & responder group partnerships Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords Disaster prevention; Information science; Information systems; Mergers and acquisitions; Public health; Community engagement; FEMA Whole Community Initiative; Informatics; Professional development; Translational Research; Disasters
Abstract Vulnerable communities are disproportionately impacted by major disasters. Information scientists working to improve disaster planning and mitigation efforts in these communities often involve first responder (practitioner) groups in collaborative design; however, less emphasis has been placed on developing long-term, sustainable crisis informatics partnerships at the population level. Community-based participatory research approaches are gaining attention in the US as an important element in translational science efforts designed to move innovations “from the bench to the curbside.” Community Engagement in Research (CEnR) is a community research approach adopted US National Institutes of Health (NIH) to improve public health intervention. CEnR has implications for improving the generalizability of ISCRAM research, may provide a roadmap for Public/Private/Community disaster research partnerships, and suggests modifications to training for information scientists working in this arena. The CEnR approach also recognizes conflicts that can occur in community/government partnerships, emphasizing the importance of predicting and preventing these situations. © 2012 ISCRAM.
Address Medical College of Wisconsin, United States; Dept. Public Health, City of Milwaukee, United States; University of Wisconsin, Milwaukee, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Special Session Mixed Methods Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 16
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Author (up) 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 (up) 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 (up) 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 (up) 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 (up) 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 (up) 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 (up) 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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