Daniel Heck

Daniel Heck is a Professor of Psychological Methods at Philipps-Universität Marburg. His work bridges statistical modeling, psychometric theory, and cognitive modeling in psychology, with a focus on uncertainty quantification, judgment aggregation, and reproducibility in experimental research. He actively collaborates on Bayesian statistics and network modeling projects.

He mentors PhD students in computational psychology, including Semih Aktepe, Björn Siepe, and Matze Kloft. His team develops tools like RRreg, an R package for anonymized survey data analysis.

Recent research trends include:

• Critiques of paper mills and reproducibility crises
• Interventions for intellectual humility in polarized contexts
• Methodological innovations in dynamic network analysis and simulation studies
• Applications of large language models to formalize psychological theories

He advocates for open science and transparency in research workflows, contributing to debates about AI's role in peer review and ethics in computational methods.