How are climate risks distributed among various actors? How do behavioral biases affect their economic decisions? What are the roles of social networks, information diffusion and learning in shaping individual choices? What difference does it all make at the level of the entire economy and society? When do behavioral changes in micro levels lead to regime shifts in macro level?
Damage associated with climate change is a core benchmark in science and policy. Macro Integrated Assessment Models estimating damages are criticized for neglecting risk distribution, adaptation dynamics and the possible collapse of regional economies. Micro-level social science studies contain substantial knowledge on individual behavior, decisions under risk and autonomous climate adaptation, and go beyond monetary losses by focusing on resilience. This knowledge can ameliorate theoretical and empirical flaws in current macro assessments, if adequate scaling up methods were to exist.
SCALAR aims to bridge the gap between micro and macro research traditions by modeling the behavioral aspects of autonomous adaptation processes of heterogeneous agents, and integrating them into macro level climate policy models.
The project develop a suite of modeling tools and decision-support systems to inform national and supra-national policy and support communities across Europe working to make the transition to a low-carbon economy.
The KvK programme was started to make the effects of climate change comprehensible and manageable for the Netherlands. Protection against flooding from rivers and the sea has always been the number one priority in the Netherlands.
Integrating adaptive economic behavior in land-use models. The VENI project addresses a gap by incorporating adaptive expectations about land market dynamics and evolution of individual risk perception into land-use models.
The bottom-up structure of ABMs enables simulation and investigation of complex systems and their emergent behavior with a high level of detail; however, such models create large non-linear multidimensional “big data,” which are difficult to analyze using traditional statistical methods.
An extensive interdisciplinary research and capacity building program. The goal is to build a thriving community on Resilience Engineering. Designing solutions for complex social-technical-environmental systems requires linking different domains and disciplines.
As a low-lying delta, the Netherlands must prepare itself for the possible consequences of sea-level rise, ground subsidence, climate change and the increasing human pressure. This programme contributes to that through knowledge development via a joint effort of researchers, government and the private sector.