Tatiana Filatova

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.

From cognitive maps to agent-based models

This paper aims to contribute to developing better ways for incorporating essential human elements in decision making processes for modelling of complex socio-ecological systems. It presents a step-wise methodology for integrating perceptions of stakeholders into formal simulation models...

Farmers’ Drought Risk Perception

This study investigates and compares the contribution of objective and subjective factors in explaining farmers’ drought risk perception by means of survey data analysis which collected data on risk perceptions, farm characteristics, and various other personality traits in the southwest Netherlands.

Coping with drought risk

In the perspective of increasing droughts risks because of climate change, adaptation is key to decrease farmer’s vulnerability and to secure the agricultural sector’s performance at the aggregate level. Using the results of a recent survey, we explore farmers’ adaptive behaviour to drought in the south-west Netherlands.

Drivers of urban resilience to climate change in the USA

This study explores several private adaptation responses to flood risk, that are driven by various behavioral triggers. We conducted a survey among households in hazard-prone areas in eight coastal states in the USA to examine the decision to retreat from flood zones.
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