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Author Adrot, A.; Aguerre, M. pdf  doi
isbn  openurl
  Title The Impact of conflicts on Data Sharing for Disaster Risk Reduction Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 43-53  
  Keywords Disaster Risk Reduction (DRR); Cross-Border Regions; Cooperation; Data Sharing; Conflicts  
  Abstract Cross-border regions are particularly exposed to hazards and require cooperation for Disaster Risk Reduction (DRR). Accordingly, multiple countries have been investing in technology and jointly innovate to share and process data against disasters. However, these countries’ capacity to share data depends on the history and the context of the border itself. Going further, conflicts between countries – may they be past, present or future – can radically question and endanger collaborative efforts to share data for DRR. This collaborative research, involving a cohort of master students and an NGO, explores the influence of conflicts on data sharing and cooperation for DRR. Still in progress, this research examines how conflicts affect data sharing and how DRR actors manage them. It is based on exploratory archive analysis of three distinct cases of cross-border DRR collaboration within the EU borders, as well as experts and actors interviewing. Preliminary findings reveal that conflicts affect DRR at three levels: i) actors, ii) interactions with DRR actors, iii) relations between local DRR actors and institutions. The expected contribution of this research is theoretical, practical and pedagogical.  
  Address DRM UMR CNRS 7088 Université Paris-Dauphine PSL;French Red Cross  
  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 Visions for Future Crisis Management Expedition Conference  
  Notes http://dx.doi.org/10.59297/VNLE9301 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2505  
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Author Tiago Badre Marino; Bruno Santos Do Nascimento; Marcos R. S. Borges pdf  isbn
openurl 
  Title GIS supporting data gathering and fast decision making in emergencies situations 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 Geographic information systems; Information systems; Landslides; Mobile devices; Mobile telecommunication systems; Risk management; Telecommunication networks; Wireless networks; Data gathering; Data Sharing; Disaster areas; Emergency management; Field assessment; Latin America; Online registration; Web database; Disasters  
  Abstract This proposal rises from the Center for Disasters Scientific Support experience over eleven years supporting over a hundred disasters in Latin America. It also presents a case study applied to landslides assessments in Teresopolis (Brazil) city, when all field-generated knowledge was still registered in paper and later, at the base station, uploaded to database and finally available for managers evaluation and decision. The proposed methodology creates a platform (still under development) which allows online registration from different field agents during their evaluations enabling data upload combining mobile devices and telecommunication network (or Wi-Fi) technologies. Teams can also customize forms for different information classes (i.e. landslide assessment, rescued person, blocked road) and still retain the possibility to attach images, videos, other files related to each inspection. Incoming data are stored into a web database available for a real-time coordinators evaluation wherever they are (sometimes over a thousand of miles away from disaster area). © 2012 ISCRAM.  
  Address Universidade Federal Do Rio de Janeiro, Brazil  
  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 Geographic Information Science and Technology Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 163  
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Author Fiona McNeill; Andriana Gkaniatsou; Alan Bundy pdf  isbn
openurl 
  Title Dynamic data sharing for facilitating communication during emergency responses 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 369-373  
  Keywords Chains; Communication; Data interpretation; Dynamic data sharing; Emergency response; Intelligent queries; Matching; Proof of concept; Query; Query answering; Information systems  
  Abstract This paper describes the CHAIn system, which is designed to facilitate data sharing between disparate organisations during emergency response situations by resolving mismatches in their data. It uses structured data matching to reformulate failed queries in cases where these failed because of incompatibilities between the query (derived from the source schema) and the schema of the queried datasource (the target schema). This reformulation is done by developing matches between the source schema and the target schema. These matches are then used to reformulate the query and retrieve responses relevant to those expected by the original query. Despite the growing interest in intelligent query answering, integration of data matching into query answering is novel, and allows users to successfully query datasources even if they do not know how the data in that source is organized, which is often the case during emergency responses. We describe the proof-of-concept system we have developed and an encouraging initial evaluation.  
  Address Heriot-Watt University, United Kingdom; University of Edinburgh, United Kingdom  
  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 Intelligent Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 758  
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