معرفی
Essi Kujansuu is a Researcher at the University of Innsbruck, with affiliations at the University of Turku and the Institute of Replication (I4R). She holds a PhD in Economics from the European University Institute. Her work focuses on experimental economics, exploring themes like fairness, trust, moral behavior, and choice architecture. Recent research emphasizes meta-science and Open Science, particularly computational reproducibility and robustness analysis of published studies.
Her experimental designs often involve real-effort tasks and real-time interaction platforms like oTree. Key contributions include analyzing wage rigidity in labor markets, the psychological impacts of wage cuts, and the effectiveness of nudges under transparency. She collaborates internationally on projects ranging from field experiments in credence goods to assessing reproducibility in quantitative social science through human-AI teams.
Current projects include investigating how transparency affects nudge deployment by choice architects and comparing human vs AI-assisted methods in research reproducibility. She frequently contributes to replication efforts of high-impact studies in development and health economics.
Her technical expertise spans experimental platform development (e.g., Django Channels integration) and advanced statistical methods for reproducibility analysis. Future work aims to bridge behavioral economics with modern computational tools, enhancing both theoretical understanding and practical applications of economic decision-making models.
