iEMSs 2022 Conference - Brussels, Belgium

iEMSs 2022 - Session D.3

Advances and applications of robust and adaptive decision making under deep uncertainty

Stream    : D - System Identification and Uncertainty in Environmental Computing

Session Leader: Marjolijn Haasnoot (Utrecht University, Utrecht); Julius Schlumberger (Deltares, Delft ; Water and Climate Risk, VU Amsterdam); Jan Kwakkel (Delft University); Rob Lempert (RAND Corporation, Santa Monica, USA); Jonathan Lamontagne (School of Engineering, Tufts University)

Decision making under deep uncertainty is an increasingly well-established topic area, with a range of methods to help make decisions that are robust and adaptive in the face of multiple plausible futures. This session aims to provide a venue within iEMSs2022 for cutting edge methods and applications in our community, recognising the importance of decision frameworks that explicitly address uncertainty in the broader context of System Identification and Uncertainty in Environmental Computing, as well as Decision making and Public participation in Environmental modelling.


We welcome methodological advances, empirical insights, and emerging applications involving:


- Decision making under deep uncertainty

- Resilience, tipping points

- Robustness metrics

- Adaptive decision making, active adaptive management

- Policy pathways

- Flexibility in decision making

- Value of information

- Exploratory modelling

- Scenario analysis

- Visual analytics