|
|
Zahra Ashktorab, Christopher Brown, Manojit Nandi, & Aron Culotta. (2014). Tweedr: Mining twitter to inform disaster response. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 354–358). University Park, PA: The Pennsylvania State University.
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.
|
|
|
|
Dick Ooms, & Willem-Jan Van Den Heuvel. (2014). If every nail looks different, you need different hammers: Modeling civil-military interaction. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 349–353). University Park, PA: The Pennsylvania State University.
Abstract: In the response to emergencies and disasters, effective cooperation and information exchange between military and civil actors is essential. However, in practice, the quality of civil-military interaction (CMI) leaves much to be desired. Our research takes an engineering approach, which is complementary to most behavioral-oriented research in the CMI domain. In particular, we seek to support CMI processes with innovative Information Technology solutions. To this end, we are developing a comprehensive conceptual model of the CMI domain, which is currently lacking. This paper contributes to its development by investigating candidate technologies and defining CMI domain model requirements. Exploiting these requirements as criteria, we have evaluated three modeling methods and languages, i.e. the Unified Modeling Language (UML), the Business Process Modeling Notation (BPMN) and the Design and Engineering Methodology for Organizations (DEMO). Based on the comparative study, we conclude that a combination of these is required for modeling the CMI domain.
|
|
|
|
Jens Pottebaum, Robin Marterer, & Steffen Schneider. (2014). Taxonomy of IT support for training emergency response & management. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 374–378). University Park, PA: The Pennsylvania State University.
Abstract: Training is a prerequisite for effective and efficient emergency response and management. Information technology (IT) offers high potential to support various educational methods and environments. One example for interdependent use cases is given by planning, controlling, observation and debriefing of training exercises. Dedicated IT systems are available to support these use cases; nevertheless, there is no joint understanding of system use cases, types and functionality as a fundament for scientific and technological progress. This work in progress paper presents results of literature and market research complemented by expert interviews leading to a taxonomy of relevant IT components and systems.
|
|
|
|
Robert Soden, Nama Budhathoki, & Leysia Palen. (2014). Resilience-building and the crisis informatics agenda: Lessons learned from open cities Kathmandu. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 339–348). University Park, PA: The Pennsylvania State University.
Abstract: Information systems that support crisis responders and disaster risk management efforts are complex sociotechnical phenomena comprised of human capacities and relationships, data and software tools. Research in crisis informatics has highlighted the ways in which emergent groups of digital volunteers, or volunteer technical communities, have mobilized during disaster events to support information management efforts. This paper describes an action research project to support the creation of an ex ante volunteer technical community from among the potentially affected population in Kathmandu, Nepal, one of the most seismically at-risk cities in the world. In exploring this case, we argue that projects that attempt to create local open data ecosystems can be valuable but require investment in their design, execution and on-going maintenance.
|
|
