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Author |
Kees Boersma; Brian Tomaszeski (eds) |
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Title |
Conference Proceedings of 15th International Conference on Information Systems for Crisis Response and Management |
Type |
Conference Volume |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Abstract |
Each year, ISCRAM brings together top researchers and practitioners working in the area of information systems and crisis management. The conference provides an excellent opportunity to exchange information and knowledge on new research and discuss best practices. The overarching theme for ISCRAM 2018 is Visualizing Crisis, which aims at the interdisciplinary development and design of information systems that enable better crisis planning, response, mitigation, recovery and training by using integrated approaches that combine organizational, behavioral, technical, economic and environmental aspects through visual representation and reasoning. |
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Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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no |
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Call Number |
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Serial |
2198 |
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Author |
Rohit Valecha; Onook Oh; H. Raghav Rao |
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Title |
A Model for Assessing Label Quality in Crowdsourced Crisis Mapping Systems: A Case of 2010 Haiti Earthquake |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1161 |
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This poster is dedicated to present our research work on the application of crowd and crowdsourcing platforms to crisis situations. In particular, it focuses on crowdsourced crisis mapping solutions. Crowdsourcing has become a popular avenue of research dealing with crisis mapping systems. Crisis mapping systems enable collecting and disseminating crisis information. The contribution of this research is to create a model to assess label quality in the context of crowdsourced crisis mapping. The model was devised in three phases: (1) collection of crisis reports from a crisis mapping platform, (2) crowd-sourced empirical approach to capture labels at scale, and (3) a theory-guided approach for feature selection to create a machine learning model. In the first phase, we collected crisis reports from the Ushahidi platform during the 2010 Haiti earthquake. In the second phase, we utilized CrowdFlower – a crowdsourcing platform for labeling crisis reports based on the input from five crowd volunteers. In the third phase, we adopted situation awareness lens for selecting contextual and collaborative features. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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no |
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Call Number |
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Serial |
2196 |
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Author |
Yossi Nygate; William Johnson; Mark Indelicato; Miguel Bazdresch; Clark Hochgraf |
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Title |
Intelligent Wireless Infrastructure Management for Emergency Communications |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1156-1160 |
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Keywords |
communications, LTE, deployable, QoS, big data analytics |
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Abstract |
This poster describes the research of a collaborative faculty-led research that will enable first responders to identify and visualize geo-located quality of service and coverage gaps in wireless and deployable networks during an emergency event and support the deployment additional LTE base stations within FirstNet to augment network coverage and capacity. Our crowd sourced cellular metrics system uses big data analytics to detect changes in coverage and usage patterns and recommends where to deploy additional communication assets. The approach uses machine learning methods to measure and model coverage gaps and automatically implement bandwidth prioritization on whatever communication assets are available. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Track |
Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
2195 |
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Author |
Tayler Ruggero; Brian Tomaszewski |
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Title |
Geographic Information Capacity (GIC) Across International Scales: Comparing Institutional Structures of Germany to the United States |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1153-1155 |
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Keywords |
Geographic information capacity, disaster risk reduction, international scales, comparative analysis |
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Abstract |
Over the last three decades, the number and severity of natural disasters all across the world has been increasing exponentially (Basher, 2006). This paper intends to consider geographic information capacity (GIC) as it relates to government, government regulated organizations, and international organizations, including the United Nations, and their involvement in disaster risk reduction and management. Specifically, the paper aims to understand similarities and differences and the connection between two governmental disaster management organizations, FEMA in the United States and BBK and THW in Germany. We present a comparative analysis on the two countries in terms of their organizational structures, how their structures affect geographic information capacity and how geographic information capacity is related to disaster risk reduction and disaster response. Future work can make comparisons across more countries, including developing countries, to see what structural changes can be made in government entities to help increase GIC when disaster strikes. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2194 |
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Author |
Terje Gjøsæter; Jaziar Radianti; Weiqin Chen |
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Title |
Universal Design of ICT for Emergency Management: A Research Agenda |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1148-1152 |
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Keywords |
Universal Design of ICT, Accessibility, Design for All, Emergency Management, Research Agenda. |
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Abstract |
Information and communication technologies (ICT) are becoming increasingly important in emergency management and crisis communication. ICT tools are developed and adopted in all phases of the emergency management cycle. On the one hand, these tools contribute to better disaster preparedness and effective response. On the other hand, the lack of consideration of universal design in these tools also creates new barriers for different stakeholders, particularly the elderly and people with disabilities. The primary objective of this paper is to give an overview of the current state of the emerging research field of Universal Design of ICT for emergency management and provide a Research Agenda to highlight ways to uncover how the increasing introduction of ICT in emergency management can contribute to removing barriers instead of adding more barriers. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Track |
Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
2193 |
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Author |
Sebastian Schmitz; Lennart Landsberg; Tim Brüstle; Johannes Weinem; Ompe Aimé Mudimu |
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Title |
Evaluation of a flying localization system for the rescue of buried victims – A scenario based training approach |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1143-1147 |
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Keywords |
Urban search and rescue, unmanned aerial vehicle, scenario development, scenario based training, emergency exercise |
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Abstract |
The objective of this study was to develop various scenarios for evaluating an unmanned aerial vehicle that is developed for the localization of buried people after a building collapse. To test their concept of implementing this system into the command structure of organized first response the authors plan to carry out a tabletop exercise in laboratory scale and a large-scale exercise. Scenario based training is used as methodic approach for these exercises. To develop realistic scenarios, relevant national and international organizations and their requirements have been identified. Also, the requirements of the localization system have been taken into account. Furthermore, real incidents have been analyzed and their match with the requirements has been verified. As result one national and one international scenario, based on real incidents, are developed. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2192 |
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Author |
Quentin Schoen; Sebastien Truptil; Matthieu Lauras; Aurelie Conges; Franck Fontanili |
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Title |
A new approach of monitoring system for Supply Chain management during crisis |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1140-1142 |
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Keywords |
Crisis, Supply Chain, Sensitive products, Monitoring, Real Time |
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Abstract |
Sensitive products supply chain and supply chain facing crisis management share several aspects. In both cases, several decision makers have to choose the best options most of the time under pressure, often in emergency and need to access numerous information from the field. This shared monitoring aspect put forward the visualization need to consider in each decision all the crisis potential impacts. Unfortunately, for the transportation steps we focus on, the current transport management systems do not reach these requirements. In this paper, focusing on supply chains during crisis situations, we present a new monitoring system with adapted functionalities. The added value is to connect in real time and relevant way the data from the field to the information on a shared model used to make reliable decisions. We use the French Blood Establishment supply chain to illustrate the proposition. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2191 |
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Author |
Anastasios Karakostas; Stefanos Vrochidis; Yiannis Kompatsiaris; Boris Kantsepolsky; Jürgen Moßgraber; Stamatia Dasiopoulou; Benjamin Mandler; Ari Karppinen; Michele Ferri; Iosif Vourvachis; Carmen Castro; Kim Lintrup |
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Title |
beAWARE: Enhancing Decision Support and Management Services in Extreme Weather Climate Events |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1136-1139 |
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Keywords |
Crisis management, Early warning system, PSAP |
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Abstract |
In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. The main goal of beAWARE framework is to provide support in all the phases of an emergency incident. More specifically, we propose an integrated solution to support forecasting, early warnings, transmission and routing of the emergency data, aggregated analysis of multimodal data and management the coordination between the first responders and the authorities. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Track |
Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2190 |
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Author |
Fiona Jennet McNeill; Diana Bental; Jeremy Bryans; Paolo Missier; Jannetta Steyn |
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Title |
Informing decision makers: facilitating communication and trust for decision makers during crises |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1133-1135 |
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Keywords |
Command and Control, decision making, data integration, information gathering, provenance, trust |
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Abstract |
This paper describes our approach to facilitating automated data sharing during a crisis management scenario. There are a number of reasons why this is difficult, of which we are addressing two of the main ones. Firstly, data in different organisations (and organisations) is mismatched in that different terminology, structure, specificity and data formats are used, so automated comprehension of data is problematic. Secondly, is that it is hard to assess the trustworthiness of data from other organisations. We have developed data-matching and provenance-based solutions to these problems individually. In this paper, we discuss how best these approaches can be integrated so that decision makers can quickly and automatically be presented with data to match, or approximately match, their data needs, together with the right information for them to understand the quality and meaning of this data, and introduce the CEM-DIT (Communication for Emergency Management through Data Integration and Trust) system. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2189 |
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Author |
Francisco José Quesada Real; Fiona McNeill; Gábor Bella; Alan Bundy |
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Title |
Identifying Semantic Domains in Emergency Scenarios |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1130-1132 |
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Keywords |
Semantic domains, domain adaptation, emergency domains categorisation |
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Abstract |
Emergency scenarios are characterised by the participation of multiple and diverse organisations which come from different areas. This diversity is enriching in terms of expertise and approaches to tackle problems, however, it also provokes misunderstandings caused by semantic interoperability problems. There are some approaches which propose tackling these problems by using domain adaptation algorithms. Nevertheless, it is not trivial their application in emergency scenarios where the term “domain” is used in many different ways, not being clear either what it means or which domains are involved in these scenarios. In this paper, we identify semantic domains involved in emergency scenarios by analysing papers published in proceedings of ISCRAM and ISCRAM-med conferences. As a result, a categorisation of these domains has been developed, with the aim of providing a resource that can be used by domain adaptation algorithms to tackle problems such as those involving semantic interoperability. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
2188 |
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Author |
Steve Peterson; Denis Gusty |
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Title |
Incorporating Digital Volunteers into Exercises: A Case Study on CAUSE V |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1126-1129 |
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Keywords |
experiment, social media, digital volunteers, research, exercise |
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Abstract |
The U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) and Canada Department of National Defence's Centre for Security Science conducted its fifth Canada-U.S. Enhanced Resiliency Experiment (CAUSE V) on November 15 – 16, 2017 along the border between the Canadian province of British Columbia and the state of Washington. The experiment tested emerging technologies to promote more effective communication and information sharing for emergency management officials and first responder agencies on both sides of the border in response to a Mt. Baker volcanic eruption and lahar mudflow scenario. The CAUSE V experiment explored the use of trained digital volunteers to provide operational and public information support to emergency management professionals. These digital volunteers were assigned to monitor simulated social media platforms, identifying information according to pre-assigned mission assignments, including misinformation and rumor control, and reporting this information to emergency management officials and first responder agencies. Researchers from the University of Washington were in attendance to specifically observe the efforts of the digital volunteers during the experiment. Research observations, and the benefits of integrating the research and practitioner communities, will be highlighted on the poster. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
2187 |
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Author |
Sofia Eleni Spatharioti; Sara Wylie; Seth Cooper |
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Title |
Identifying and Assessing Points of Interest through Crowdsourced Image Analysis |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1123-1125 |
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Keywords |
crowdsourcing, Amazon Mechanical Turk, points of interest |
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Abstract |
During a natural disaster, major damages to critical structures such as bridges or power lines can severely disrupt community functions for long periods of time, making the task of swiftly identifying this type of damage vital for response and recovery. However, survey flight paths are often designed with a main focus of complete and quick coverage of affected areas through aerial photography, which is then assigned to volunteers to aid in damage report and labeling. We designed a crowdsourcing interface that focuses on locating points of interest and assessing damage using images from survey flights. We tested our design using a disaster and a non-disaster application by recruiting volunteers on Amazon Mechanical Turk. We found that the type of structure may cause difficulties for crowd workers in providing accurate assessments and that designing flights to also target structures may provide higher quality imagery for this type of task. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2186 |
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Author |
Lizheng Deng; Hongyong Yuan; Lida Huang |
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Title |
Optimal UAV 3D Path Planning in Mountainous Environments for Post-Earthquake Multi-region Search |
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 |
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Volume |
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Issue |
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Pages |
1122-1122 |
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Keywords |
Post-earthquake rescue, UAV search, 3D path simulation, real mountainous terrain, hybrid algorithm. |
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Abstract |
During the earthquake rescue, rapidly locating the trapped person is a critical issue to reduce casualties. Compared with the ground search after the earthquake, the unmanned aerial vehicle (UAV) life detection is not only more expeditious but also safer. For shortening the mission completion time of UAV, we propose the coupling method of Dijkstra's algorithm and simulated annealing (SA) algorithm to optimize the search path. Concisely, the mathematical model is further abstracted as the Traveling Salesman Problem (TSP) and the shortest loop can be obtained by SA algorithm. The real geo-environment of Jiuzhaigou and the actual large-scale rescue scenarios are taken into consideration. Setting six key search areas as our life detection objects, the UAV 3D path simulation is conducted with MATLAB, which achieves the obstacle avoidance. Our UAV path planning method can significantly speed up the search process and save more people in the post-disaster search. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2185 |
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Author |
Shane Halse; Jess Kropczynski; Andrea Tapia |
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Title |
Using Metrics of Stability to Identify Points of Failure and Support in Online Information Distribution during a Disaster |
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 |
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Volume |
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Issue |
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Pages |
1121-1121 |
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Keywords |
Information distribution, Social Media, Stability, Hurricane Sandy, Hurricane, Twitter, Social Network Analysis, Crisis |
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Abstract |
We utilize the 2012 Hurricane Sandy dataset to investigate methods to measure network stability during a crisis. While previous research on information distribution has focused on individuals that are most connected, or most willing to share information, we examined this dataset for indicators of network stability. The value of this measure is to identify the points of failure within the network. The findings in this paper provide support for the use of social network analysis within the realm of crisis response to identify the points of failure within the network. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2184 |
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Author |
Yaniv Mordecai; Boris Kantsepolsky |
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Title |
Intelligent Utilization of Dashboards in Emergency Management |
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 |
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Volume |
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Issue |
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Pages |
1108-1119 |
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Keywords |
Emergency Management, Natural Disasters, Dashboards, Business Intelligence, Decision Support Systems. |
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Abstract |
Effective decision-supporting visualization is critical for strategic, tactic, and operational management before and during a large-scale climate or extreme weather emergency. Most emergency management applications traditionally consist of map-based event and object visualization and management, which is necessary for operations, but has small contribution to decision makers. At the same time, analytical models and simulations that usually enable prediction and situation evaluation are often analyst-oriented and detached from the operational command and control system. Nevertheless, emergencies tend to generate unpredictable effects, which may require new decision-support tools in real-time, based on alternative data sources or data streams. In this paper, we advocate the use of dashboards for emergency management, but more importantly, we propose an intelligent mechanism to support effective and efficient utilization of data and information for decision-making via flexible deployment and visualization of data streams and metric displays. We employ this framework in the H2020 beAWARE project that aims to develop and demonstrate an innovative framework for enhanced decision support and management services in extreme weather climate events. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2183 |
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Author |
Federico Angaramo; Claudio Rossi |
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Title |
Online clustering and classification for real-time event detection in Twitter |
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 |
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Volume |
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Issue |
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Pages |
1098-1107 |
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Keywords |
Event detection, Social Media, Clustering, Machine Learning, Twitter |
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Abstract |
Event detection from social media is a challenging task due to the volume, the velocity and the variety of user-generated data requiring real-time processing. Despite recent works on this subject, a generalized and scalable approach that could be applied across languages and topics has not been consolidated, yet. In this paper, we propose a methodology for real-time event detection from Twitter data that allows users to select a topic of interest by defining a simple set of keywords and a matching rule. We implement the proposed methodology and evaluate it with real data to detect different types of events. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
2182 |
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Author |
Kaisa Riikka Ylinen; Juha Pekka Kilpinen |
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Title |
Calibrating Ensemble Forecasts to Produce More Reliable Probabilistic Extreme Weather Forecasts |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1089-1097 |
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Keywords |
Weather forecasts, probabilistic forecasting, statistical calibration, high impact weather events. |
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Abstract |
Accurate predictions of severe weather events are extremely important for society, economy, and environment. Due to the fact that weather forecasts are inherently uncertain, it is required to give information about forecast uncertainty to all users providing weather forecasts in probabilistic terms utilizing ensemble forecasts. Since ensemble forecasts tend to be under dispersive and biased, they need to be calibrated with statistical methods. This paper presents a method for the calibration of temperature forecasts using Gaussian regression, and the calibration of wind gust forecasts with a box-cox t-distribution method. Statistical calibration was made for the operational European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble prediction system (ENS) forecasts for lead times from 3 to 360 hours. The verification results showed that calibration improved both temperature and wind gust ensemble forecasts. The probabilistic temperature forecasts were better after calibration over whole lead time scale, but the probabilistic wind gust forecasts up to 240 hours. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
2181 |
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Author |
Alessandro Farasin; Paolo Garza |
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Title |
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1081-1088 |
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Keywords |
Spatio-temporal sequence mining, Data characterization |
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Abstract |
Nowadays large amounts of climatology data, including daily precipitation data, are collected by means of sensors located in different locations of the world. The data driven analysis of these large data sets by means of scalable machine learning and data mining techniques allows extracting interesting knowledge from data, inferring interesting patterns and correlations among sets of spatio-temporal events and characterizing them. In this paper, we describe the PERCEIVE framework. PERCEIVE is a data-driven framework based on frequent spatio-temporal sequences and aims at extracting frequent correlations among spatio-temporal precipitation events. It is implemented by using R and Apache Spark, for scalability reasons, and provides also a visualization module that can be used to intuitively show the extracted patterns. A preliminary set of experiments show the efficiency and the effectiveness of PERCEIVE. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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|
Call Number |
|
Serial |
2180 |
|
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Author |
Iftikhar Ali; Vahid Freeman; Senmao Cao; Wolfgang Wagner |
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Title |
Sentinel-1 Based Near-Real Time Flood Mapping Service |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1074-1080 |
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Keywords |
Sentinel-1, EODC, Flood mapping service, SAR, Azure Service Bus. |
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Abstract |
Globally floods are categorized as one of most devastating natural disasters and annually causing a major loss to human lives and economy. For rapid damage assessment and planning relief activities a large scale spatio-temporal overview is required to assist local authorities. This paper aims to provide an overview of a Sentinel-1 based near-real time flood mapping/monitoring service; which is implemented as an operational service under the framework of I-REACT (Improving Resilience to Emergencies through Advanced Cyber Technologies) project. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
2179 |
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Author |
Efstratios Kontopoulos; Panagiotis Mitzias; Jürgen Moßgraber; Philipp Hertweck; Hylke van der Schaaf; Désirée Hilbring; Francesca Lombardo; Daniele Norbiato; Michele Ferri; Anastasios Karakostas; Stefanos Vrochidis; Ioannis Kompatsiaris |
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Title |
Ontology-based Representation of Crisis Management Procedures for Climate Events |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1064-1073 |
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Keywords |
Crisis management, ontology, semantic integration, decision support, description logics |
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Abstract |
One of the most critical challenges faced by authorities during the management of a climate-related crisis is the overwhelming flow of heterogeneous information coming from humans and deployed sensors (e.g. cameras, temperature measurements, etc.), which has to be processed in order to filter meaningful items and provide crisis decision support. Towards addressing this challenge, ontologies can provide a semantically unified representation of the domain, along with superior capabilities in querying and information retrieval. Nevertheless, the recently proposed ontologies only cover subsets of the relevant concepts. This paper proposes a more “all-around” lightweight ontology for climate crisis management, which greatly facilitates decision support and merges several pertinent aspects: representation of a crisis, climate parameters that may cause climate crises, sensor analysis, crisis incidents and related impacts, first responder unit allocations. The ontology could constitute the backbone of the decision support systems for crisis management. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
2178 |
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Author |
Adam Widera; Chiara Fonio; Sandra Lechtenberg; Bernd Hellingrath |
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Title |
Measuring Innovations in Crisis Management |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1051-1062 |
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Keywords |
Performance measurement, crisis management, innovation |
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Abstract |
Crisis management (CM) organizations regularly face the challenge to assess the potential impact of a change in their socio-technical setup. No matter if a new software, a new tool, a simple workflow or a broader organizational structure become available, CM organizations need to estimate the potential added value under a high degree of uncertainty. In general, the more reliable information about the new solution is available, the more informed the decisions are. One promising way in assessing the potential impact of new CM solutions can be found through its application in an as realistic as possible and an as secure as necessary setup. However, such artificial scenarios like simulation exercises hold the risk of measuring the performance of the solution itself rather than its contribution to the CM operation. In this paper we review the state of the art in measuring crisis management performance, discuss the results in the context of performance measurement in general and present a performance measurement approach supporting a structured assessment of innovative CM solutions applied within collaborative demonstration project. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Open Track |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
2177 |
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Author |
Flavio Horita; Ricardo Vilela; Renata Martins; Danielle Bressiani; Gilca Palma; João Porto de Albuquerque |
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Title |
Determining flooded areas using crowd sensing data and weather radar precipitation: a case study in Brazil |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1040-1050 |
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Keywords |
Crowd sensing data, Weather radar precipitation, Kernel density estimation, Flood management, Collaborative platforms |
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Abstract |
Crowd sensing data (also known as crowdsourcing) are of great significance to support flood risk management. With the growing volume of available data in the past few years, researchers have used in situ sensor data to filter and prioritize volunteers' information. Nevertheless, stationary, in situ sensors are only capable of monitoring a limited region, and this could hamper proper decision-making. This study investigates the use of weather radar precipitation to support the processing of crowd sensing data with the goal of improving situation awareness in a disaster and early warnings (e.g., floods). Results from a case study carried out in the city of São Paulo, Brazil, demonstrate that weather radar data are able to validate flooded areas identified from clusters of crowd sensing data. In this manner, crowd sensing and weather radar data together can not only help engage citizens, but also generate high-quality data at finer spatial and temporal resolutions to improve the decision-making related to weather-related disaster events. |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Open Track |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
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Call Number |
|
Serial |
2176 |
|
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Author |
David Paulus; Kenny Meesters; Bartel Van de Walle |
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Title |
Turning data into action: supporting humanitarian field workers with open data |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1030-1039 |
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Keywords |
Humanitarian disaster response, decision-making support, information needs, information systems |
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Abstract |
In the aftermath of disasters, information is of the essence for humanitarian decision makers in the field. Their concrete information needs is highly context-influenced and often they find themselves unable to access the right information at the right time. We propose a novel ICT-based approach to address these information needs more accurately. First, we select a group of in-field decision makers and collect their concrete information needs in the disaster aftermath. We then review to what extent existing data and tools can already address these needs. We conclude that existing solutions fall short in meeting important information needs of the selected group. We describe the design of an information system prototype to address these gaps more accurately. We combine data of the International Aid Transparency Initiative and the Humanitarian Data Exchange to form the data-backend of our system. We describe our implementation approach and evaluation plan. |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Open Track |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
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Call Number |
|
Serial |
2175 |
|
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Author |
Josey Chacko; Christopher Zobel; Loren Rees |
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Title |
Challenges of Modeling Community-Driven Disaster Operations Management in Disaster Recurrent Areas: The Example of Portsmouth, Virginia |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1022-1029 |
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Keywords |
Community-Driven Disaster Operations, Disaster Management, Community Engagement, Recurrent Disasters, Resilience. |
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Abstract |
Although one of the dominant paradigms in managing disaster operations is that of modeling decisions around the activities of humanitarian organizations, recent literature has highlighted the importance of managing disaster operations from the perspective of the affected community. Modeling community-driven disaster operations has a unique set of challenges, however, several of which are highlighted in this research effort. These include engaging the community and coordinating amongst multiple decision makers, defining a clear community objective, and planning with long decision horizons. Using the urban area of Portsmouth, Virginia as a case study, this work in progress paper demonstrates a decision approach which addresses these critical elements of community-driven disaster operations management. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Track |
Open Track |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2174 |
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Author |
Robin Gandhi; Deepak Khazanchi; Daniel Linzell; Brian Ricks; Chungwook Sim |
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Title |
The Hidden Crisis : Developing Smart Big Data pipelines to address Grand Challenges of Bridge Infrastructure health in the United States |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1016-1021 |
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Keywords |
Big Data, Bridge Health, Infrastructure, Disaster |
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Abstract |
The American Society of Civil Engineers (ASCE) Report Card for America's Infrastructure gave bridges a C+ (mediocre) grade in 2017. Approximately, 1 in 5 rural bridges are in critical condition, which presents serious challenges to public safety and economic growth. Fortunately, during a series of workshops on this topic organized by the authors, it has become clear that Big Data could provide a timely solution to these critical problems. In this work in progress paper we describe a conceptual framework for developing SMart big data pipelines for Aging Rural bridge Transportation Infrastructure (SMARTI). Our framework and associated research questions are organized around four ingredients: o Next-Generation Health Monitoring: Sensors; Unmanned Aerial Vehicle/System (UAV/UAS); wireless networks o Data Management: Data security and quality; intellectual property; standards and shared best practices; curation o Decision Support Systems: Analysis and modeling; data analytics; decision making; visualization, o Socio-Technological Impact: Policy; societal, economic and environmental impact; disaster and crisis management. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
|
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Open Track |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2173 |
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