Dr. Dmitri Bershadskyy

About me

I am a methodologically versatile economist working on topics of digitalization and environmental economics and striving for fruitful interdisciplinary research between economics and various fields of engineering. My scientific credo is: "Theory and Empirics are just two sides of the same coin. It is our task to demonstrate this."

 Academic Short Profile

Research focus

Digitalization, Environmental Economics, Behavioral Economics, Machine Learning, Software Engineering

Research methods

Laboratory and Online Experiments, Surveys, Structural Literature Review, Software Engineering

Teaching experience

Behavioral Economics, Experimental Economics, Game Theory, Applied Behavioral Economics and Digitalization 

Scientific Presentations

Among others at conference of: Economic Science Association (ESA), Spring Meeting of Young Economists (SMYE), Jahrestagung vom Verein für Socialpolitik (VfS), International Meeting on Experimental and Behavioral Social Sciences (IMEBESS), German Association for Experimental Economic Research (GfeW), International Conference on Social Dilemmas (ICSD)

Guest Lectures and other Presentations

Society for Consumer Research ("Artificial Intelligence - Between Phantasy and Practice"); Zeppelin University ("Lying and Lie Detection"); University of Applied Sciences Magdeburg ("Motivation in Sports"); Various Science Slams; Various presentations at "Long Night of the Sciences" and "Science Festival".

Most recent activities (Mar. 2025)

Based on our interdisciplinary research with software engineers and psychologist (https://doi.org/10.1007/s10664-024-10517-w ), we've made to the guidelines on standards in software engineering experiments: https://www2.sigsoft.org/EmpiricalStandards/docs/standards?standard=Experiments#. One requests integrated and four pending.

Our paper on financial incentives in software engineering got published at PeerJ Computer Science (https://doi.org/10.7717/peerj-cs.2650). It is a pre-registered report which includes the first-time ever application of experimental economics methods to empirical software engineering.

Presentation at the colloquium of the department of social psychology. „Incurring personal costs for a better society – kindness behind public goods contributions” 

I was ranked third at the teaching evaluation system for Master's Courses

Presentation of our work on "Seeing Is Believing: How (X)AI-Augmented Advice Guides Human Evidence Accumulation in Perceptual Decision-Making" at the 22nd CEMS Research Seminar.

For an extensive summary, see my CV.

Contact: 

Chair of Economic Policy

Google Scholar

dmitri[at]bershadskyy.com