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Start by assuming you’re wrong
In this op-ed, I reflect on how we can all learn from basic null hypothesis significance testing: start by assuming you’re wrong.
We have a problem: What 34% reproducibility actually means
In our latest research publication, we partnered with 200 other scientists to explore the robustness of prior research studies.
What does it mean to be a “successful researcher”?
In this op-ed, I share some of my reflections on the scholarly research and our incentive structure, from the perspective of an early career faculty member.
Blind spots in blind review
In our latest research review, we discuss a very recent publication of a field experiment testing the merits of single vs. double blind peer review.
The gatekeepers of academia: What our new study reveals about bias in publishing
In our new research paper, we investigate bias in how journals publish on controversial topics, using a large dataset of 20k publications, combining both human and AI-powered analysis.