Applying Mathematical Principles to People Analytics with Keith McNulty Part 1

In Part 1 of a two-part series on the ScienceForWork Podcast, ScienceForWork Directors Natasha, Alperen, and Matt have a conversation with Keith McNulty, a Mathematician, statistician, analytics leader, and Industrial-Organizational Psychologist. Keith is a leader in Technology, Science, and Analytics. With a background in mathematics and extensive experience in industry, Keith provides unique insights into how mathematical principles can be applied to organizational data and people analytics.

In this episode, Keith dives into the practical implications of combining science with expert judgment and stakeholder insights to empower better organizational decision-making. His insights and experiences underscore the importance of methodological correctness, the balance between quantitative and qualitative data, and the role of effective communication in applying scientific evidence in people analytics. These are not just theoretical concepts but practical tools for professional development.

Whether you're a data scientist, HR professional, or someone passionate about evidence-based management, this episode will inspire and educate you on the transformative power of people analytics.

LinkedIn: https://www.linkedin.com/in/keith-mcnulty/

https://peopleanalytics-regression-book.org/

https://ona-book.org/

https://blog.keithmcnulty.org/

ScienceForWork is an independent, non-profit foundation of evidence-based practitioners who want to #MakeWorkBetter.

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