Hypercompetition, score compression and AI co-authorship: a perfect storm for grant success rates

The use of AI in grant writing to address non-scientific selection criteria along with growing application numbers and score inflation have turned many research funding schemes efficiently into lotteries.

Authors

Shina Caroline Lynn Kamerlin (ORCID: https://orcid.org/0000-0002-3190-1173)

Institutions

Georgia Institute of Technology (US)

Publication Details

Journal: EMBO Reports
Published: 2026-04-15
DOI: https://doi.org/10.1038/s44319-026-00779-4
Primary Topic: Academic Publishing and Open Access
Type: article
Field-Weighted Citation Impact: 0.00

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article

Hypercompetition, score compression and AI co-authorship: a perfect storm for grant success rates

Shina Caroline Lynn Kamerlin

Apr 15, 2026

EMBO Reports

Academic Publishing and Open Access

article

Hypercompetition, score compression and AI co-authorship: a perfect storm for grant success rates

Shina Caroline Lynn Kamerlin

April 15, 2026article en

Abstract

EMBO Reports

Georgia Institute of Technology (US)

Openalex Percentile: Top 9%

Academic Publishing and Open Access

DOI Open Access PDF OpenAlex

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Hypercompetition, score compression and AI co-authorship: a perfect storm for grant success rates — Shina Caroline Lynn Kamerlin · EMBO Reports (2026) | TGRS Research Map | TGRS