Marcus Harris
Computational Credibility - Psychometrics - Meta-Research
Marcus Harris is a PhD candidate in Research Methods, Measurement, and Evaluation at the University of Connecticut. His work sits at the intersection of psychology, meta-research, and computational reproducibility.
His emerging research program, Computational Credibility, examines how computational practices contribute to, constrain, and justify the credibility of scientific knowledge. He develops conceptual frameworks, methodological approaches, and computational tools for evaluating the evidentiary foundations of research.
Research Focus - Computational reproducibility and evaluation of research code - Meta-research on scientific practices, incentives, and methodology - Simulation-based methods and psychometric evaluation
Current Work - Current projects and collaborations - Developing a rubric to evaluate reproducible statistical code - Studying how researchers interpret and apply reproducibility standards - Building open teaching materials for reproducible computational research