Implicit Biases in Research Evaluation - TIER - CoARA, June 27th, 2025, Coniglione M.

This presentation stems from a survey addressed to researchers in academic institutions and funding agencies, aimed at understanding perceptions of research evaluation and excellence across Europe and beyond, conducted within the TIER (Towards an Inclusive Evaluation of Research) working group of CoARA and presented during an online TIER workshop, the 27th June, 2025. Specifically, these slides present an approach to detecting implicit biases — particularly those related to gender — in evaluation settings. The core finding is that language framing can be used as a proxy for measuring biases that would not otherwise be openly acknowledged. From the survey, which reached approximately 2,000 researchers, it emerged that respondents changed their assessments of stereotypical statements when the same content was expressed using different framings. This led us to investigate the underlying cognitive mechanisms more deeply, with the aim of identifying possible solutions for more equitable practices in research evaluation settings.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-27
DOI
https://doi.org/10.5281/zenodo.18746583
Primary Topic
Gender Studies in Language
Type
article
Field-Weighted Citation Impact
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article

Implicit Biases in Research Evaluation - TIER - CoARA, June 27th, 2025, Coniglione M.

Silvia Penati, Maura Coniglione
Zenodo (CERN European Organization for Nuclear Research)
Gender Studies in Language
article

Implicit Biases in Research Evaluation - TIER - CoARA, June 27th, 2025, Coniglione M.

Silvia Penati, Maura Coniglione
article en

Abstract

This presentation stems from a survey addressed to researchers in academic institutions and funding agencies, aimed at understanding perceptions of research evaluation and excellence across Europe and beyond, conducted within the TIER (Towards an Inclusive Evaluation of Research) working group of CoARA and presented during an online TIER workshop, the 27th June, 2025. Specifically, these slides present an approach to detecting implicit biases — particularly those related to gender — in evaluation settings. The core finding is that language framing can be used as a proxy for measuring biases that would not otherwise be openly acknowledged. From the survey, which reached approximately 2,000 researchers, it emerged that respondents changed their assessments of stereotypical statements when the same content was expressed using different framings. This led us to investigate the underlying cognitive mechanisms more deeply, with the aim of identifying possible solutions for more equitable practices in research evaluation settings.

Zenodo (CERN European Organization for Nuclear Research)
University of Milano-Bicocca (IT)
Gender equality
Openalex Percentile: Top 14%
Gender Studies in Language
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