By Enago Academy | Speaker: Dr. Timothy Errington

The question of whether science can truly replicate itself has sparked one of the most important debates in modern research. Is reproducibility in science a systemic challenge or has it been overstated?

In this episode of Research and Beyond, host Krishna Kumar speaks with Timothy Errington, Senior Director of Research at the Center for Open Science, to examine what large-scale replication studies reveal about reproducibility in research..

Drawing on evidence from the SCORE Project and the Reproducibility Project, Tim grounds the debate in data—moving beyond perception to what replication efforts show in practice.

Together, they explore:

• The “exaggerated issue” debate and what replication data actually reveals
• What the SCORE Project is uncovering: Can humans or AI reliably predict which studies will replicate?
• How reproducibility can be built into research from the start through Registered Reports and transparent protocols
• Building reproducibility into research through Registered Reports and transparent protocols

• The role of AI in research evaluation, where it helps, where it falls short, and what risks it introduces
• What progress would look like: defining a more reliable and transparent research ecosystem

Tune in for a grounded, evidence-led conversation on how research can become more robust, credible, and trustworthy