oDMN: an Integrated Model to Connect Decision-Making Needs to Emerging Data Sources in Disaster Management

Horita, F. E. A., Link, D., Porto de Albuquerque, J. and Hellingrath, B. (2016) oDMN: an Integrated Model to Connect Decision-Making Needs to Emerging Data Sources in Disaster Management. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, USA, 05-08 Jan 2016, pp. 2882-2891. ISBN 9780769556703 (doi: 10.1109/HICSS.2016.361)

Abstract

Disaster managers depend on timely and accurate information for task-related decision-making in highly complex and dynamic environments. New data sources, like online social media provide an increasing volume of data that promises improvements in situation awareness. But it remains difficult to focus data collection on information needs and integrate relevant information back into decision-making. In this paper, we present the observation-aware Decision Model and Notation (oDMN), which connects tasks, decisions, information and data sources based on standardized models and notations as well as on domain-specific information models. The integrated model allows for deriving information requirements and determining the impact of incoming observations on relevant tasks and decisions. To demonstrate its usefulness, we apply the model to a case centered on logistics operations during the 2015 Nepal earthquake response. The results show that the model is indeed able to formally connect tasks, decisions, information and data sources, and thus support better decision-making.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Porto de Albuquerque, Professor Joao
• Authors: Horita, F. E. A., Link, D., Porto de Albuquerque, J., and Hellingrath, B.
• College/School: College of Social Sciences > School of Social and Political Sciences > Urban Studies
• ISSN: 1530-1605
• ISBN: 9780769556703
• Published Online: 10 March 2016