Possible topics for sessions and workshops within this stream are (but are not limited to):

Sensitivity and uncertainty issues in Environmental modelling;

  • Theories, approaches, algorithms and software tools that facilitate model calibration, validation and evaluation;
  • Understanding uncertainties and risks at the environmental system level;
  • Model and system identification for complex environmental processes;
  • Data assimilation approaches in Environmental sciences.

Session D0: General presentations on system identification and uncertainty in environmental computing

Session D1: Beyond Conventional Uncertainty Analysis: New Frameworks, Methods, and Tools for Uncertainty Assessment in Complex Socio-Environmental Models

Session D2: Best Practice in Agent-Based Model Parameterization and Validation

Session D3: Quantifying uncertainty in environmental systems: a Bayesian point of view

Session D4: Including uncertainty within optimisation solution methods used for optimal targeting of best management practices and environmental policy

Session D5: Advances in scenario discovery and robust decision-making frameworks for designing dynamically robust policy pathways

Session D6: Sensitivity analysis for improved model diagnosis, parameter identification, and prediction

Session D7: Complexity, Sensitivity, and Uncertainty Issues in Integrated Environmental Models