Stephen is a metascientist with a background in quantitative social science research. His recent published work was concerned with statistical misinterpretations, methodological issues within experimental research, and meta-analytic investigations. However, his meta-research interests are broad: he is happy to get involved in any metascience project that can improve the efficiency of science.

Two metascientific areas of particular interest to Stephen are how artificial intelligence can help improve science, and how data and code sharing may be better encouraged. Concerning the former, Stephen is developing a prototype web-app underpinned by AI that would give researchers, policymakers, journalists, etc, instantaneous methodological summaries of the academic literature. His hope is that by developing such a resource, we can all act from a richer methodological understanding of a literature.

Concerning the latter, from September 2026 Stephen will be employed as a postdoctoral researcher within the Industrial Engineering and Innovation Sciences Department at Eindhoven University of Technology. In this role he will be investigating the link between university open science policies and researcher data and code sharing practices. By the end of this project, Stephen hopes to have identified which policies are most effective, so universities can be more fully informed of how they can best encourage data and code sharing.