The 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017) took place at Albi, Occitanie Pyrénées-Méditerranée, France 21-24 of May 2017. The conference aims at exploring all dimensions of Information System domains to improve and contribute to Crisis and Disaster Management. Each article presented during the ISCRAM conference must cover both “Information Systems” and “Crisis and Disaster Management” research.
3 research papers submitted by the iTRACK consortium partners were accepted by ISCRAM:
- “Machine Learning and Social Media in Crisis Management: Agility vs Ethics” by Lanfranchi, Vitaveska. This paper presents an analysis of the ethical risks and implications of using automated system that learn from social media data to provide intelligence in crisis management. The paper presents a short overview on the use of social media data in crisis management to then highlight ethical implication of machine learning and social media data using an example scenario.
- “Behind the Scenes of Scenario-Based Training: Understanding Scenario Design and Requirements in High-Risk and Uncertain Environments” by Saad Noori, Nadia, Wang, Yan, Comes, Tina, Schwarz, Philipp, Lukosch, Heide (University of Agder and Delft University of Technology). This paper addresses current scenario design processes of simulation exercises, proposes an alternative approach for simulation exercises and introduces a conceptual design of an adapt.
- “Agility in crisis management information systems requires an iterative and flexible approach to assessing ethical, legal and social issues”, by Kroener, Inga; Watson, Hayley; Muraszkiewicz, Julia (Trilateral Research Ltd.) This paper focuses on the assessment of ethical, legal and social issues (ELSI) in relation to agile information systems in the domain of crisis management. The authors provide an example from the iTRACK project to exemplify this move to an iterative approach in practice, drawing on the process of undertaking an ethical and privacy impact assessment for the purpose of this project.
The full text of the above mentioned papers is available on the iTRACK public website under “Publications”.
