Behavioral Data

Behavioral Data

Social sciences provide insights on how people make decisions, which preferences , perceptions and other behavioral factors guide them and how social interactions may influence individual choices. We rely on socio-economic surveys, semi-structured interviews and participatory workshops.

Agent Based Modeling

Agent Based Modeling

Agent-based model is a computer code representing how many heterogeneous adaptive economic agents – households, firms, farmers, governmental institutions – make decisions and interact with each other and their environment according to different behavioral rules.

Micro-Macro Models

Micro-Macro Models

SC3 team develops methods to integrate micro with macro models to quantify economy-wide effects of bounded rationality, learning, and behavioral changes regarding climate change adaptation and mitigation.

SC3 solutions for climate change go from micro to macro level

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?

Want to work with us?

We have several positions open, check them out
Scaling up behavior and autonomous adaptation for macro models of climate change damage assessment

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.

Projects

Knowledge Based Climate Mitigation Systems for a Low Carbon Economy

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.

Kennis voor Klimaat

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.

Changing climate – changing behavior

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.

MIRACLE

MIning Relationships Among variables in large datasets from CompLEx systems

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.

DeSIRE

Designing Systems for Informed Resilience Engineering

 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.

NBS

Nature based solutions

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.

Tatiana on Twitter

Professor in Computational Resilience Economics @UTwente & @UTSEngage, Member @DeJongeAkademie KNAW, @ERC_Research, Leader 4TU.DeSIRE and Board @4TUResilience
Interesting differences in perceptions of climate change https://t.co/nED7PLfiO2 https://t.co/C7djZ3PXQ6
h J R
@tanjafilatova
RT @ridderjeroen: Zeker, we moeten academici anders erkennen en waarderen en kwantitatieve indicatoren alleen zijn vertekenend, maar zo'n r…
h J R
@tanjafilatova
RT @TrivikV: If you research #cities and #networks and want to understand and address inequalities in access, the CUSP lab @tudelftTBM is l…
h J R
@tanjafilatova