Daniel Barkoczi

Daniel Barkoczi is a Research Fellow at the University of Southern Denmark's Faculty of Business and Social Sciences, specializing in computational models of collective behavior. His research examines how individual decision-making strategies interact with social structures to produce group-level outcomes in domains including organizational learning, innovation diffusion, and collective problem-solving.

He holds a PhD in Psychology from Humboldt University Berlin and a Master's in Cognitive and Decision Science from University College London. Prior to joining SDU, he conducted research at the Max Planck Institute for Human Development and Linköping University's Institute for Analytical Sociology.

Barkoczi's research integrates computational modeling, behavioral experiments, and network analysis to investigate:

• Mechanisms of social influence in networked environments
• Collective adaptation in complex systems
• Optimization of group problem-solving strategies
• Algorithmic impacts on opinion formation
• Cross-environmental analysis of search behavior

His publication trends show consistent focus on collective intelligence phenomena, with recent work exploring adaptive systems (2023), algorithmic influence (2021), and team-based problem solving (2020). Earlier research established foundations in social learning strategies (2016-2018) and recommendation systems (2015-2017).

Barkoczi collaborates with the Strategic Organization Design (SOD) research group and maintains affiliations with international research networks including the Max Planck Institute and Linköping University.