iEMSs 2022 Conference - Brussels, Belgium

iEMSs 2022 - Session D.4

Identifying and achieving good modelling, models, and model predictions

Stream    : D - System Identification and Uncertainty in Environmental Computing

Session Leader: Janneke Remmers (Hydrology and Quantitative Water Management, Wageningen University and Research, The Netherlands); Serena Hamilton (Fenner School of Environment & Society, Australian National University, Australia); Fateme Zare (Capability Systems Center, University of New South Wales)

Good modelling practice is seeing a new wave of research as previous guidance reaches its teenage years, motivated by increasing mainstream use of models in high stakes policy contexts, new sources of data for validation and model building, and understanding of the subjective, social, and behavioural phenomena underpinning modelling.


This session encourages a broad view on the topics of system identification, uncertainty, and validation with a focus on evaluating the quality of modelling, models, and model predictions.


We welcome methodological contributions and empirical explorations of these issues from a variety of perspectives, including:

-    Efficient and effective modelling
-    Credibility, salience, and legitimacy
-    Usability, reliability and feasibility
-    Responsible, coherent and transparent use of modelling to support policy evidence bases
-    New techniques for model validation and benchmarking
-    Processes and criteria for establishing model quality
-    Organisational processes and institutions to support good modelling practice