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Review Exchange Network

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Review Exchange Network
In the age of AI,
REN is where you get feedback straight from the expert's head.

Three experts in your field review your paper. You contribute reviews in return to unlock your paper's reviews.

AI is a great tool, and especially useful for drafting, catching typos and logical mistakes. But at the review stage, AI isn't the one judging your paper. It struggles to evaluate novelty, situate work within a literature, feel the zeitgeist of the profession, or weigh genuine contribution against what's already been published. Those calls require a vetted researcher who knows your field, your journals, and what counts as a real advance. At REN, AI doesn't grade your paper; your peers do.

REN is open to any researcher who wants more feedback on their work before sending it to journals. Admission is by application. Applicants should have some publication experience in their discipline so reviews come from people who know the field.

The quality of feedback you give determines the quality you receive. Reviewers are rated after each submission and matched accordingly. Higher rated reviewers are paired with higher rated reviewers and meta reviewers over time.

Papers are only accessible to the members reviewing it, are never publicly listed, and are fully protected throughout the review process. Your reviews are equally private and never shared outside it. At the end of the review process the PDF and the reviews are sent to the author and then deleted from REN. We do not retain this information for privacy reasons.

REN uses a narrow scroll viewer that is non copiable. The PDF itself is never available for download. Reviewers and meta reviewers can only read the paper inside that protected viewer. Pasting is disabled in the review form, all documents are forensically watermarked with reviewer identity, and reviewers sign a declaration at submission confirming they have not shared the paper with anyone. Authors also receive a timestamped email confirmation when they submit, establishing precedence.

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Reviews on REN ask for real engagement with the paper. That takes effort, but it means others will bring the same effort to yours.

Reviewer report 1
Reviewer task, Q1: Paper summary and central claimOpen / close
Q1: From your reading of the paper, what do you think it is trying to do and claim?
Describe what you understand the paper's main argument and contribution to be in your own words. This helps the author understand how their paper is being read before any evaluation begins.
The paper attempts to establish a causal...
Reviewer task, Q2: Contribution and noveltyOpen / close
Q2: Do you agree with the authors' claims about their main contribution? Is the novelty claim convincing, and why or why not?
The most useful assessments explain the specific reasoning behind the judgment. A statement that the contribution is insufficient without explaining why leaves the author with no path forward. The meta reviewer will evaluate both your assessment and the quality of your reasoning.
The question is relevant...
Reviewer task, Q3: How to strengthen the contributionOpen / close
Q3: How would you restate the contribution more precisely? What would make it stronger and more convincing to a journal reviewer?
Be as specific as possible. Vague suggestions like 'sharpen the contribution' are not actionable. Explain exactly what change you have in mind and why it would be more convincing.
The paper should replace...
Reviewer task, Q4: Most consequential weaknessOpen / close
Q4: In your opinion, what is the most consequential weakness of the paper, and why does it undermine the paper's conclusions?
Explain what bias or gap this weakness creates and why it is large enough to affect the results. The meta reviewer will evaluate both the weakness and the quality of your reasoning.
Key identification risk...
Reviewer task, Q5: How to address the most consequential weaknessOpen / close
Q5: If you were the author, how would you address this weakness?
Explain not just what you would do but why your proposed solution would fix the problem you identified.
Implement stacked event studies...
Reviewer task, Q6: Second most consequential weaknessOpen / close
Q6: In your opinion, what is the second most consequential weakness of the paper, and why does it matter?
Apply the same standard as for the most consequential weakness. Identify what bias or gap it creates and why it is consequential enough to address.
Outcome construction risk...
Reviewer task, Q7: How to address the second most consequential weaknessOpen / close
Q7: If you were the author, how would you address this secondary weakness?
Same standard as for the most consequential weakness solution. Explain the mechanism by which your suggestion addresses the problem.
The author should decompose...
Reviewer task, Q8: Journal and editor suggestionsOpen / close
Q8: Which journals would you suggest the author send this paper to? Are there specific types of editors they should target, and types they should try to avoid?
For each journal, explain why the paper fits it. Your editor type suggestions should reflect the methods the paper uses: some editors are trained more in those methods and will read the paper favorably, while editors from other specializations can be systematically less favorable (e.g. an empirical editor for a theory heavy paper). Flagging editor types the author should steer away from is as useful as flagging ones to aim for.
I would suggest the Journal of Development Economics...
By application only. Free for approved members.
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