Normalising error detection and trustworthiness assessment in science - Ian Hussey
Автор: RIOT Science Club
Загружено: 2025-08-19
Просмотров: 100
In this engaging talk, Dr. Ian Hussey explores how we can bring greater transparency and accountability to scientific research through forensic meta-science — the practice of identifying and correcting errors in published work. Drawing lessons from the replication movement of the 2010s, he discusses how to build tools, systems, and a culture that support constructive critique and open participation.
He introduces tools like Inspect SR and reflects on challenges in statistical education, power dynamics in research, and how increased public awareness (e.g. post-COVID) has shaped science communication — for better or worse.
Dr. Ian Hussey is a postdoctoral researcher at the University of Bern and Chief Recommender for the ERЯOR Project, which rewards researchers for detecting errors in scientific literature. His work focuses on implicit cognition, measurement, reproducibility, and building practical tools to strengthen research integrity.
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