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Reproducibility Workshop Series: Peer Review In-Person
Overview
Peer review is an essential mechanism for validating research results. This workshop will examine the function of peer review, its shortcomings, and efforts to make peer review more transparent, inclusive, and unbiased. Learn about peer review training opportunities and recognition for review work. Please register below.
Learning Objectives
By the end of this workshop, participants will be able to:
- Name emerging peer review models
- Get credit for peer reviewing research outputs
- Provide feedback on a publicly posted preprint
Instructor: Jessica Polka, PhD - ASAPbio
Instructor Bio
Jessica Polka serves as Executive Director of ASAPbio, a researcher-driven nonprofit organization working to promote innovation and transparency in life sciences publishing in areas such as preprinting and open peer review. Prior to this, she performed postdoctoral research in the department of Systems Biology at Harvard Medical School following a PhD in Biochemistry & Cell Biology from UCSF. Jessica is also a Plan S Ambassador, a research affiliate at MIT Libraries, a steering committee member of Rescuing Biomedical Research, and a member of ASCB’s public policy committee. Formerly, she was president of the board of the nonprofit Future of Research and a member of the NASEM Next Generation Researchers Initiative.
This workshop is part of a series on Biomedical Reproducibility. Other workshops in this series include:
- Sept 19 – Introduction to Reproducibility, Researcher Panel + Reception! - Ariel Deardorff
- Sept 26 – Rigorous Experimental Design – Karla Lindquist, PhD
- Oct 3 – Open Publishing - Veronique Kiermer, PhD, and Dan Morgan
- Oct 10 – Open Protocols – Lenny Teytelman, PhD
- Oct 24 – Open Code – Karthik Ram, PhD
- Oct 31 – Peer Review – Jessica Polka, PhD
- Nov 7 – Data Publishing – Daniella Lowenberg
- Nov 14 – Building a Reproducible Lab – Elizabeth Silva, PhD
- Date:
- Thursday, Oct 31 2019
- Time:
- 3:30pm - 5:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Mission Hall 1400
- Campus:
- Mission Bay
- Categories:
- Data Science Open Access