Metascience Matters
Tim Errington is the Senior Director of Research at the Center for Open Science. He led the Reproducibility Project: Cancer Biology, Systematizing Confidence in Open Research and Evidence (SCORE), as well as the implementation and evaluation of initiatives such as Registered Reports, Registered Revisions, responsible conduct of research trainings, and open science badges. CONTACT RANDY: Feedback: metasciencematters@gmail.com EPISODE LINKS: Investigating the replicability of preclinical cancer biology (Reproducibility Project: Cancer Biology led by Tim Errington): https://elifesciences.org/articles/71601 Bayer replication study: https://www.nature.com/articles/nrd3439-c1 Amgen replication study: https://www.nature.com/articles/483531a Reproducibility in Cancer Biology: Challenges for assessing replicability in preclinical cancer biology (Companion paper to Reproducibility Project: Cancer Biology): https://elifesciences.org/articles/67995 What is replication?: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000691 Study comparing standard reports and registered reports in psychology: https://journals.sagepub.com/doi/10.1177/25152459211007467 Blog post on the seemingly magical success of revision experiments: https://rajlaboratory.blogspot.com/2013/06/the-magical-results-of-reviewer.html Google's AI co-scientist paper: https://arxiv.org/abs/2502.18864 Machine-readable documents: https://journals.sagepub.com/doi/10.1177/2515245920970949 How open science helps researchers succeed: https://elifesciences.org/articles/16800 ZBW's Expedition to Open Science Land: https://expedition-open-science.org/ OUTLINE: 0:00 - Introduction 4:47 - Tim's origin story as a cancer biologist 6:38 - Initial interest in metascience 9:24 - Starting the Reproducibility Project: Cancer Biology 12:07 - How were the studies that were replicated chosen? 14:41 - Publishing the Reproducibility Project: Cancer Biology as a registered report 17:26 - Results from the Reproducibility Project: Cancer Biology 20:28 - Tim's experience throughout the years running the Reproducibility Project: Cancer Biology 25:21 - The difficulty of running cancer biology studies 27:54 - Judging whether a replication is successful 31:23 - What has the response to the Reproducibility Project: Cancer Biology been? 37:52 - Why aren't replication rates higher? 40:26 - Challenges of running cancer biology replication studies 45:43 - Caveats of preclinical disease models 49:13 - The incentive for positive data in science 57:05 - Systemic intervention vs. Individual policing 1:01:04 - The value of registered reports 1:07:38 - Registered revisions 1:10:48 - Falsifying theories early at the preclinical stage 1:15:21 - Different institutions (e.g., academic, industry) conducting different studies (e.g., preclinical, clinical) 1:17:34 - New initiatives at the Center for Open Science (Replication project of social/behavioral sciences, automated tools for predicting replication success, LifeCycle journal) 1:23:02 - AI scientists are trained on biased literature; distrust of academic literature in drug discovery 1:28:46 - Peer review 1:32:51 - Narrative in science 1:35:06 - 100-200 years into the future 1:40:29 - Advice for high school/undergraduate listeners 1:42:51 - Metascience manifests in every field 1:44:46 - Philosophy of science 1:47:49 - Outro
8 episodios
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