• D-Evolution

About Me

Currently, Fatih works as a Post-doctoral Researcher at the Consumer Decision and Sustainable Behavior Lab at the University of Geneva, Switzerland.

Fatih’s academic work is situated at the intersection of a variety of fields in the social, behavioral, and computational sciences, and adopts an integrative perspective to the study of intergroup, interspecies, and human-environment relations. In his work he employs methods from psychology, behavioral and data science—while incorporating theoretical insights from emerging perspectives in evolutionary psychology. His main research interest lies in understanding how elementary kinds of relational (communal, hierarchical, egalitarian) motives underpin meaningful psychological and socio-environmental phenomena and how these relational motives are shaped by––and interact with––macro-structural processes. Topics of particular interest are social power and hierarchies, social and environmental (in-justice and (in)equality, climate change communication, and sustainability. His work utilizes different survey methodologies, experimental methods, machine learning (e.g., Artificial Neural Networks), and Big Data approaches.

At the University of Geneva, Fatih will primarily investigate evidenced-based climate change communication strategies to facilitate increased pro-environmental and pro-social behaviors. To this end, he will develop and experimentally evaluate different psychological intervention methods aimed at sustainable behavior change. His work will be undertaken cooperatively with high-quality video content creators.

Beside his academic work, Fatih serves as a Data Scientist for the Fossil Fuel Non-Proliferation Treaty Initiative (FFNPT). The FFNPT is a global network of scientists, policy makers, and activists engaged in facilitating a rapid and fair transition away from fossil fuels towards renewable energies across the globe. In his role as a Data Scientist for the FFNPT, he is responsible for an interactive online app which he programmed to utilize web-scraping and Natural Language Processing to automatically identify, filter, and visualize climate change mitigation and adaptation policies globally (https://fossilfueltracker.org).

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