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#metaresearch

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German Reproducibility Network

🔬✨ Interested in improving research transparency & reproducibility? Join the Meta-Science Summer School to design & launch a meta-research study!
➡️ Co-organized by the @GermanRepro
👥 Participants will learn about meta-research by designing and collecting data for a meta-research study in a small team
📅 Date: 15 - 20 June 2025; Apply by March 21, 2025!
🔗 More info: bihealth.org/en/notices/meta-s
🌐 Language: English
📌 Location: Frankfurt, Germany
#OpenScience #Reproducibility #MetaResearch #GRN (lmf)

Invitation to the Meta-Science Summer School and logos of affiliated and organizing institutions: Berlin Institute of Health (BIH), the German Reproducibility Network (GRN), the META REP Priority Program, iRise and the University of Coimbra EXCELScIOR project ERA chair.
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Tom Stafford

Do grant proposal texts matter for funding decisions? A field experiment

link.springer.com/article/10.1

Simsek et al (2024) conduct a randomised experiment on top of panel review of NWO's 2018 Vidi funding round. (using a shadow panel).

"We find that withholding [full] proposal texts from panelists did not detectibly impact their proposal rankings."

#metaresearch #metascience #research

brief comments follow

🧵 1/

Abstract Scientists and funding agencies invest considerable resources in writing and evaluating grant proposals. But do grant proposal texts noticeably change panel decisions in single blind review? We report on a field experiment conducted by The Dutch Research Council (NWO) in collaboration with the authors in an early-career competition for awards of 800,000 euros of research funding. A random half of panelists were shown a CV and only a one-paragraph summary of the proposed research, while the other half were shown a CV and a full proposal. We find that withholding proposal texts from panelists did not detectibly impact their proposal rankings. This result suggests that the resources devoted to writing and evaluating grant proposals may not have their intended effect of facilitating the selection of the most promising science.
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