Key research themes
1. How do different types and sources of uncertainty affect decision-making and management in global sustainability and environmental systems?
This theme focuses on understanding the multifaceted nature of uncertainty inherent in environmental and sustainability challenges and their implications for decision-making and management. It highlights the complexity of 'wicked problems' in sustainability, where uncertainties arise from limited knowledge, nonlinear processes, conflicting stakeholder perspectives, and unpredictable future events. Research investigates classification of uncertainty types (from clear futures to true surprises), methodological approaches to uncertainty quantification, and the influence of uncertainty on policy design and adaptive strategies in managing Earth systems.
2. How can uncertainty be conceptualized, measured, and integrated in economic and financial decision-making under global and domestic shocks?
This theme investigates the conceptual underpinnings and empirical quantification of uncertainty in economics and finance, particularly focusing on its effects on investment, firm behavior, and market outcomes. It includes differentiating types of uncertainty (subjective vs. objective), methodological challenges in measurement (e.g., using survey-based indicators, mutual information), and the heterogeneous impacts of uncertainty shocks across contexts, including distinctions between advanced and emerging economies. The theme also addresses how global uncertainties interplay with domestic risks, influencing financial sector profitability and macroeconomic variables.
3. How is uncertainty conceptualized and modeled in spatial, geographic, and systemic contexts, and what implications does this have for data interpretation and decision-making?
This theme explores the foundations and conceptualizations of uncertainty within geographic information systems (GIS), spatial data, and complex systems. Research addresses challenges in defining geographic objects, classification ambiguity, fuzzy and probabilistic representations, and the communication of uncertainty. The theme also highlights the interplay of uncertainty with ontologies, semantic heterogeneity, and measurement theory, advancing methodological rigor for spatial data analysis and education in uncertainty management.