One of the major challenges decision-makers face in the preparation for, and response to a crisis is to handle complexity and uncertainty. This is most prominent when handling crises that impact complex networks of socio-technical-economic systems, which lead to cascading effects. In an increasingly dynamical environment, the traditional paradigms of decision theory are challenged: information stems from heterogeneous sources and actors, the implications of a decision need to be assessed across organizations and actors, and time and capacity to make decisions are limited. A major challenge is therefore the design and development of decision-making processes and tools that aim at providing on-time relevant and actionable information to responders, policy-makers and the public.
This track explores how intelligent systems; decision analysis and user-centred approaches can be combined for collaborative sensemaking and decision-making under complexity and uncertainty. The methods and tools presented should aim at providing coherent, timely, and reliable information to decision makers; facilitating communication, collaboration and coordination.
The track chairs will promote actively all Journal publication initiatives. We will also strive at organizing open track sessions to develop or consolidate research collaborations. This entails group research project proposals (e.g., EU-H2020 calls) or bilateral research partnerships (e.g., PhD co-supervision).