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:

What makes ResearchDoc AI the "credit score" of academic publications.
How citations can create the illusion of credibility.
Problems associated with the current peer-review process.
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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Can We Trust Peer-Reviewed Research? | Building A Credit Score For Science With Nicole Kargin