How can we determine whether published research is methodologically sound and likely to be true? Can we trust every peer-reviewed article we read? Joining us to share her thoughts on this complex topic is Nicole Kargin, the founder of ResearchDoc AI.
Nicole attends the University of Austin, a startup university where she is currently a sophomore and a member of the founding class. There, she launched ResearchDoc AI, a company built on the belief that the global replication crisis is a direct result of a broken scientific publication system – and that AI-powered quality assessment can help solve it…
This conversation covers:
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What makes ResearchDoc AI the "credit score" of academic publications.
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How citations can create the illusion of credibility.
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Problems associated with the current peer-review process.
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How to overcome the replication crisis.
Follow along with Nicole and her work on LinkedIn, Twitter, and the Research Doc AI website!
🎧 Listen now on Apple Podcasts: http://apple.co/30PvU9C
🛍️ Recommended Books from this Episode
📖 The Scientific Method: A Guide to Finding Useful Knowledge – A practical guide to improving how research is conducted and evaluated, offering clear frameworks and checklists to produce more reliable, useful scientific outcomes.
👉 Get it here
📘 Trust Factor: The Science of Creating High-Performance Companies – A fascinating look at how trust, culture, and even neurochemistry influence workplace performance, productivity, and team success.
👉 Check it out
📙 How to Write a Lot: A Practical Guide to Productive Academic Writing – A concise, no-nonsense guide to building consistent writing habits and overcoming procrastination—especially for researchers, students, and professionals.
👉 Explore it here
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