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Reproducibility is central to many conversations about research credibility—but what can recent large-scale studies actually tell us, especially when considered together? This webinar brings together researchers from the Center for Open Science (COS), the Institute for Replication (I4R), and the META-REP project to compare findings from three complementary efforts examining whether published results can be reproduced using the same data and methods across different research contexts. The discussion will draw on findings from three papers: “Investigating the reproducibility of the social and behavioural sciences” (Tyner et al., 2026), “Computational Reproducibility and Robustness of Empirical Economics and Political Science Research Between 2022 and 2023” (Brodeur et al., 2026), and “Code sharing and reproducibility in survey-based social research: evidence from a large-scale audit” (Krähmer et al., 2026). The participants will summarize the findings from each paper and discuss where these studies converge, where they differ, and what broader insights can be drawn about reproducibility, transparency, and research credibility. The webinar will feature brief presentations followed by a moderated discussion and audience Q&A.

📢 You're invited! 🗓 May 7 |Lyon Join us for the Lyon–Berlin Workshop on Behavioral Research & Meta‑Science A full day of talks on how we conduct, evaluate & strengthen behavioral science — from moral trade‑offs to data access & large‑scale reproducibility projects.

📚 We are pleased to share a recent study authored by several of our partnering researchers at Innsbruck University, entitled “Collective Evidence on Behavioral Interventions Targeting Carbon Pricing Support: A Many-Designs Approach with 55 Studies,” available as a pre-print on Research Square.