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:
[email protected]
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