Dr Tom Hardwicke completed a BSc in Psychology at Cardiff University, MRes in Brain Imaging and Cognitive Neuroscience at The University of Birmingham, and PhD in Experimental Psychology at University College London before joining the Meta-Research Innovation Center at Stanford (METRICS) as a Postdoctoral Fellow in 2017. In 2019 Tom moved to Berlin to help set up the Meta-Research Innovation Center Berlin (METRIC-B). He has now moved to the Department of Psychology at the University of Amsterdam, but continues to collaborate with QUEST and METRIC-B as a Visting Fellow. Tom’s work involves empirical assessments of bias and reproduciblity, developing tools and guidelines to improve research transparency and mitigate error, and evaluating policies and initiatives intended to improve the quality and efficiency of the scientific endeavour, such as pre-registration, Registered Reports, and open data.
METRIC-Berlin Publications
How often do leading biomedical journals use statistical experts to evaluate statistical methods? The results of a survey.
Scientific claims in biomedical research are typically derived from statistical analyses. However, misuse and misunderstanding of …
An empirical assessment of transparency and reproducibility-related research practices in the social sciences (2014-2017)
Serious concerns about research quality have catalyzed a number of reform initiatives intended to improve transparency and …
Estimating the prevalance of transparency and reproducibility-related research practices in psychology (2014-2017)
Psychological science is navigating an unprecedented period of introspection about the credibility and utility of its research. A …
Calibrating the scientific ecosystem through meta-research
Whilst some scientists study insects, molecules, brains, or clouds, other scientists study science itself. Meta-research, or …
Should psychology journals adopt specialized statistical review?
Readers of peer-reviewed research may assume that the reported statistical analyses supporting scientific claims have been closely …
Petitions in scientific argumentation: dissecting the request to retire statistical significance
Petitions have a long history of being used for political, social, ethical, and injustice issues, however, it is unclear how/whether …
Preregistration is hard, and worthwhile
Preregistration clarifies the distinction between planned and unplanned research by reducing unnoticed flexibility. This improves …
Mapping the universe of registered reports
Registered reports present a substantial departure from traditional publishing models with the goal of enhancing the transparency and …
Populating The Data Ark: An attempt to obtain and preserve data from the most highly-cited psychology and psychiatry articles
The vast majority of scientific articles published to-date have not been accompanied by concomitant publication of the underlying …
METRIC-Berlin Talks
Rehabilitating the scientific ecosystem
The scientific method has proven its worth on innumerable occasions. However, serious questions have been raised about the credibility …