Understanding the Replication Crisis in Science and Innovation











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What is the replication crisis in science, and how is it impacting academia and industry? • We explored these topics with industry experts in our webinar: https://www.starlims.com/campaigns/we... • In this audio clip, hear from Assistant Professor Youyou Wu about how those who study the science of science define this problem, that is omni-present across academia and industry. • AUDIO TRANSCRIPT: • Jenny Hu: Youyou, you are the co-author of the article in Kellogg Insight on How AI Can Help Researchers Navigate the Replication Crisis. You talked about a 2016 poll of 1,500 scientists that showed the majority believed science is undergoing a replication crisis. It's estimated that replication failure is the source of over $20 billion in losses across science and industry each year, which is insane. Could you begin by explaining the replication crisis for our audience and share how you first became aware of the issue? • Youyou Wu: Yeah. The replication crisis refers to a significant challenge in science where empirical studies often fail to replicate. In other words, if you repeat the same study, you will not get the same results, which is known as replication failure. This raises the question of how much we can trust the research findings we see in publications and journals. This problem is present in many different disciplines, including psychology, economics, biology, and medicine. • Literally, every empirical discipline is concerned with this problem. I first became explicitly aware of this issue in 2015 when a large-scale replication project was published in the journal Science in my field, psychology. Researchers were trying to replicate 100 psychology studies and discovered that the majority of them, about 60%, were unsuccessful replications. That was a watershed moment for me. • Although before that many scientists, including myself, had suspected that this is a huge issue. We have all seen in our own practices how this is manifested. Like why there are so many, what we call researchers degree of freedom, that could lead to your studies not being replicated successfully, but this study, this science study was the first one that provided concrete evidence to the magnitude of the problem. • ********* • Watch the full webinar to hear how R D scientists are addressing this pressing issue in their labs. • Featuring: • 🔹 Jenny Hu - Head of Customer Success Growth at STARLIMS • 🔹 Uraisha Magan - Head of R D at Newform Foods • 🔹 Youyou Wu - Assistant Professor at University College London • 📢 Don't forget to LIKE, COMMENT, and SUBSCRIBE for more insightful webinars! • 🌐 Follow Us: • Website: www.starlims.com • LinkedIn:   / starlims  

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