Peer Review Paranoia
As a junior faculty member, you've uncovered disturbing evidence of systematic bias in peer reviews at prestigious journals. Through data analysis, you've identified a network of senior reviewers consistently rejecting papers from minority researchers. Now you're face-to-face with the journal's Chief Editor, who may be complicit.
Challenges
0
Survivors
0
Popularity
0
Difficulty
B1-B2
Scenario Overview
Your Role
Assistant Professor of Computer Science, Data Ethics Researcher
Conversation Partner
Dr. Victoria Blackwood, Editor-in-Chief
Setting
Modern executive office with floor-to-ceiling windows overlooking a rainy cityscape. Harsh overhead lighting casts sharp shadows across a minimalist desk.
Location
Institute of Scientific Publishing, 42nd Floor
Learning Objectives
Present statistical evidence of systematic bias without appearing accusatory
Identify specific instances of discriminatory reviews while maintaining professionalism
Secure a commitment to investigate and reform the review process
About This Scenario
As a junior faculty member, you've uncovered disturbing evidence of systematic bias in peer reviews at prestigious journals. Through data analysis, you've identified a network of senior reviewers consistently rejecting papers from minority researchers. Now you're face-to-face with the journal's Chief Editor, who may be complicit.
How It Starts
“Do you know how many accusations of bias cross my desk every month? *shuffles through papers* Your 'statistical analysis' is quite creative, but perhaps your time would be better spent improving your submissions rather than... data mining our review process.”
This is how Dr. Victoria Blackwood, Editor-in-Chief's greeting will start.
Practice Details
Scenario ID
#1117
Category
General
Location Tag
Institute of Scientific Publishing, 42nd Floor
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