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Author (up) Ahmed Abdeltawab Abdelgawad; Tina Comes
Title Evaluation Framework for the iTRACK Integrated System 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 Evaluation Framework, Software Testing, Software Usability, Software Usefulness, Humanitarian Disaster
Abstract Evaluation and testing are major steps in the development of any information system, particularly if it is to be used in high-risk contexts such as conflicts. While thus far there are various approaches for testing against technology requirements; usability or usefulness, there is a lack of a comprehensive evaluation framework that combines the three elements. The lack of such a framework and commonly agreed standards constitutes a barrier for innovation, and at the same time imposes risks to responders if the technology is introduced without proper testing. This paper aims to close this gap. Based on a reviewing of evaluation methods and measurement metrics, we design a comprehensive evaluation framework including common code quality testing metrics, usability testing methods, subjective usefulness questionnaires, and performance indicators. We demonstrate our approach by using the example of an integrated system for the safety and security of humanitarian missions, and we highlight how our approach allows measuring the system?s quality and usefulness.
Address Centre for Integrated Emergency Management (CIEM), University of Agder, Norway
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 T12- Tool Talks Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1869
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Author (up) Bas Lijnse
Title Robust Private Web Maps with Open Tools and Open Data 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 Maps, Web-Based Systems, Tools, Open Data, OpenStreetMap
Abstract Crisis management information often has a geospatial dimension that allows it to be visualized on a map. As

more and more systems are developed as web-based applications, maps have also become a common sight in such

applications. The de-facto solution to add maps to web-based applications is to integrate a third-party service.

For web-based crisis management information systems, this approach has two disadvantages. First, the third-party

service must be available and reachable. Second, by using third-party services you implicitly share what you are

viewing, with the risk of unintentionally exposing sensitive location information. In this Tool Talks paper, we show

how to create a robust and private alternative for web-based maps using open source tools and open data.
Address Netherlands Defence Academy / Radboud University Nijmegen, Netherlands, The
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 T12- Tool Talks Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1875
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Author (up) Philipp Hertweck; Tobias Hellmund; Hylke van der Schaaf; Jürgen Moßgraber; Jan-Wilhelm Blume
Title Management of Sensor Data with Open Standards 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 SensorThings API, FROST, Time series data, sensor data management, data storage
Abstract In an emergency, getting up-to-date information about the current situation is crucial to orchestrate an efficient response. Due to its objectivity, preciseness and comparability, time-series data offer broad possibilities to manage emergency incidents. Since the Internet of Things (IoT) is rapidly growing with an estimated number of 30 billion sensors in 2020, it offers excellent potential to collect time-series data for improving situational awareness. The IoT brings several challenges: caused by a splintered sensor manufacturer landscape, data comes in various structures, incompatible protocols and unclear semantics. To tackle these challenges a well-defined interface, from where uniform data can be queried, is necessary. The Open Geospatial Consortium (OGC) has recognized this demand and developed the SensorThings API standard, an open, unified way to interconnect devices throughout the IoT, which is implemented by the FRaunhofer-Opensource-SensorThings-Server (FROST). This paper presents the standard, its implementation and the application to the domain of crisis management.
Address Fraunhofer IOSB, Germany
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 T12- Tool Talks Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1859
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Author (up) Rahul Pandey; Gaurav Bahl; Hemant Purohit
Title EMAssistant: A Learning Analytics System for Social and Web Data Filtering to Assist Trainees and Volunteers of Emergency Services 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 Training System, Disaster Management, Active Learning, Humanitarian Technology, Social Media Mining
Abstract An increasing number of Machine Learning based systems are being designed to filter and visualize the relevant

information from social media and web streams for disaster management. Given the dynamic disaster events, the

notion of relevant information evolves, and thus, the active learning techniques are often considered to keep

updating the predictive models for the relevant information filtering. However, the active relevant feedback

provided by the human annotators to update the models are not validated. As a result, they can introduce

unconscious biases in the learning process of humans and can result in an inaccurate or inefficient predictive

system. Therefore, this paper describes the design and implementation of an open-source technology-based

learning analytics system ? EMAssistant ? for the emergency volunteers or practitioners – referred as the trainee, to

enhance their experiential learning cycle with the cause-effect reasoning on providing relevant feedback to the

machine learning model. This continuous integration between the cause (providing feedback) and the effect

(observing predictions from the updated model) in a visual form will likely to improve the understanding of the

trainees to provide more accurate feedback. We propose to present the system design as well as provide

hands-on exercises for the conference session.
Address George Mason University, United States 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 T12- Tool Talks Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1900
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