Peer Review in High Throughput Biophysics
Spring 2024 Syllabus
Course Days/Hours/Locations: 4/22 - BH413 - 3-5PM, 4/23 - BH413 - 3-5PM, 4/25 - BH413 - 3-4PM, 4/29 - BH413 - 3-5PM, 5/1 - BH513 - 3-5PM, 5/6 - BH413 - 3-5PM, 5/7 - BH413 - 3-5PM
Instructors: James Fraser, Willow Coyote-Maestas
“At its best, peer review is a slow and careful evaluation of new research by appropriate experts. It involves multiple rounds of revision that removes errors, strengthens analyses, and noticeably improves manuscripts.
At its worst, it is merely window dressing that gives the unwarranted appearance of authority, a cursory process which confers no real value, enforces orthodoxy, and overlooks both obvious analytical problems and outright fraud entirely.
Regardless of how any individual paper is reviewed – and the experience is usually somewhere between the above extremes – the sad truth is peer review in its entirety is struggling…”
from The Lancet has made one of the biggest retractions in modern history. How could this happen?
Course Description:
By far, the most widely accepted means of communication is through publishing papers in scientific journals. The process of peer review plays an important role in refining the body of work prior to final publication. Yet, peer review is rarely taught to students in a formal setting, and is largely dependent on individual labs and mentors, leading to variable standards of peer review. Reflecting the evolution of technology, society and scientific culture, preprints have gained popularity in the life sciences in recent years, resulting in a shift in how progress in the life sciences is communicated, and raising questions of how we, as a scientific community, may work towards optimizing the peer review process in the life sciences. This class will use preprint servers (for example, BioRxiv) as a platform for formally teaching students how to peer review manuscripts in a critical and constructive way.
We have modeled this class (and previous versions) after on a course at NYU organized by Gira Bhabha, Damian Ekiert, Liam Holt & Timothee Lionnet.
Racism and Bias in Peer review
We idealize peer review process as an unbiased assessment of science. But bias creeps in to all aspects of evaluation, especially if the evaluators are not willing to acknowledge their own potential biases. These biases accumulate and manifest in harming the careers of scientists from historically marginalized groups.
- Unprofessional peer reviews disproportionately harm underrepresented groups in STEM
- Racism in Science: We need to act now
- Race, Ethnicity, and NIH Research Awards
- Topic choice contributes to the lower rate of NIH awards to African-American/black scientists
- NIH peer review: Criterion scores completely account for racial disparities in overall impact scores and critique by Drugmonkey
- Peer review: a flawed process at the heart of science and journals
Course structure
Students will be paired to serve as “Co-Discussion Leaders” for one BioRxiv manuscript of their choosing. The co-discussion leaders will compose one joint written peer review, with a first draft due immediately to us prior to their presentation, reflecting their original thoughts on the manuscript. For each class, everyone, not just the co-discussion leaders, should be prepared by having the paper carefully. We will start each day by calling on each participant in the class and asking them to share: 1 confusing thing about the paper and 1 cool thing about the paper.
After the round of sharing, the Discussion Leaders will present a joint talk similar in content and quality to a Tetrad or QBC Journal Club presentation, with an estimated 30-40 minute duration (noting that interruptions and discussion may take us closer to an hour).
After the group discussion, the co-discussion leaders will edit their review to reflect what emerged in the discussion. The deadline for this “final” review is May 15th 5PM. The review will be posted (either named or anonymously through James Fraser acting as an “editor”) as comments associated with the preprint on BioRxiv or a Zenodo record. Some commentary on how to name or be anonymous from PreReview
- Writing peer reviews:
- Fraser lab how-to-review
- Our lab’s public reviews
- Advice from Iris Young, also captured as Iris Young’s advice on reviewing
- Peer Review: reviewing as an early career researcher
- How to bring peer review ghostwriters out of the dark
- Advice for keeping on top of the literature
- FAST principles for a thriving preprint feedback culture
- Receiving and responding to peer review (it is important to imagine yourself in this perspective when writing!):
- Examples and commentaries from journals:
Some good guidelines for reviewing
- Don’t be an a$$hole
- Consider that you may have misunderstood something and ask for clarification
- Be constructive
- Have empathy, imagine receiving the review!
- What should be public, what should be private?
- Consider your own biases
- It doesn’t need to be the paper YOU would have written
- Don’t be an a$$hole
Evaluate other reviews by this rubric
April 22
- Intro to class, overview of preprints to review, assigning pairs, expectations for presentations and readers
- New developments in peer review:
- Jessica Polka - Program Director for Open Science, Astera Institute and former Executive Director of ASAPbio - Jessica to join us on zoom
April 23
- How to read a paper for peer review - adapted from HHMI TAP presentation
- Writing and Receiving Peer Review and expecations for written reviews
- pairings for papers to review
- Why do we peer review and what makes good peer review?
- Max Krummel - Universal Principled Review and other experiments
April 24
- no class
April 25
- short class, pitch 2 preprints you are interested in reviewing
April 29
- Maple N Chen and Kevin Alexander Estrada Alamo: Targeting protein-ligand neosurfaces using a generalizable deep learning approach
May 1 - class is in BH-513
- Yifei Chen and 2 anonymous students: Dissecting translation elongation dynamics through ultra-long tracking of single ribosomes
May 6
- Zachary Mullin-Bernstein and Karson Chrispens: Highly multiplexed design of an allosteric transcription factor to sense novel ligands
May 7
- Beniamin Krupkin and Minh Le: A complete map of specificity encoding for a partially fuzzy protein interaction