Repetitive floods intensify outmigration and climate gentrification in coastal cities

Our results suggest that pure market-driven processes can cause shifts in demographics in climate-sensitive hotspots placing low-income households further at risk...

Culture plays a role in climate change adaptation

To better encourage adaptation at a household level (and not just for the wealthy), it is critical that we better understand what motivates adaptation by looking at who adapts and why...

How do we build our Agent Based Models?

We first start from the theory to isolate the cause-effect relationships and to formulate hypotheses. We then collect a set of very different data, ranging from market transactions to GIS, Lab experiments and surveys to test alternative behavioral theories and compare to observed macro data.
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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.