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Rafael de Sousa Ferreira Costa, Tharcisio Cotta Fontainha, Adriana Leiras, Hugo Tsugunobu Yoshida Yoshizaki, Paulo Gonçalves, & Abdon Baptista de Paula Filho. (2017). IT infrastructure at the Rio de Janeiro City Operations Center – the case of 2016 Olympic and Paralympic Games. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 739–751). Albi, France: Iscram.
Abstract: Rio Operations Center (COR) was the agency of Rio de Janeiro Prefecture responsible for monitoring the Rio 2016 Olympic and Paralympic Games operations, due to its role in the integrated management of the city operations. This paper presents a case study considering a brief theoretical reference and data collected through direct observations, interviews, internal documents and access to the systems and software used by COR. The analysis of the COR IT infrastructure and monitoring teams' preparation for the Olympics revealed a successful development of new teams and conflict solving practice. Despite the use of different sources of information and the development of specific systems for the event, the COR preparation faced some restrictions in analytical functions, security and integration among systems. Nevertheless, regionalization for monitoring and inter-agency coordination, cross-agency instant messaging, and a team for active monitoring of social media emerged as new practices, representing opening venues for future research.
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Tanaporn Panrungsri, & Esther Sangiamkul. (2017). Business Intelligence Model for Disaster Management: A Case Study in Phuket, Thailand. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 727–738). Albi, France: Iscram.
Abstract: This research presents the conceptual Business Intelligence (BI) model for disaster management. BI can provide agility capacity for decision making in dynamic environment among different agencies. This project designs and develop a data warehouse using multi-dimensional model for severity analysis of flood and landslide in risk area using case study from Department of disaster prevention and mitigation (DDMP), Phuket, Thailand. The concept of BI can be applied for extremely heterogeneous data structures and data platform environment to improve data quality and expose to better decision-making for disaster management. In the next stage of this project, we will integrate more data sources from other agencies for example GIS data from Phuket land-use planning and flooding prediction model database. The result of this study will help organization deploy BI more effectively.
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