Live at #INFORMS2023: Reflections on the profession of O.R.

Welcome to the latest episode in a special series of the Resoundingly Human podcast, recorded in person at the 2023 INFORMS Annual Meeting in Phoenix. For this episode I am absolute delighted to be joined by Jeff Camm with Wake Forest University. Jeff is delivering the Omega-Rho Lecture: Reflections on the Profession of Operations Research and Some Thoughts on its Future and he is joining me today to share a special behind the scenes look at his presentation.

In some ways that big data phenomenon I think led to people focusing more on the data and less on the decisions and so there are pluses and minuses to the big data, if you want to call it the big data phenomenon. But it’s definitely helped bring to the forefront, analytics, O.R., management science, because we have so much data now, companies are being more data centric, so to me that’s been sort of the big paradigm shift with big data.

Interviewed this episode:

Jeff Camm

Wake Forest University

Jeffrey D. Camm is Senior Associate Dean for Faculty, the Inmar Presidential Chair in Analytics, and the Academic Director of the Center for Analytics Impact at the Wake Forest University School of Business. His area of research is applied optimization. A firm believer in practicing what he preaches, he has consulted for numerous corporations including among others, Procter and Gamble, Owens Corning, GE, Duke Energy, Tyco, Ace Hardware, Corning, Boar’s Head, Starbucks, Road Runner Sports, Brooks Running Shoes and Kroger. He previously served for six years as the editor in chief of Interfaces (now the INFORMS journal on Applied Analytics).

Jeff earned a PhD in Management Science from Clemson University and a BS in Mathematics from Xavier University (Ohio). Prior to joining Wake Forest, he held the Joseph S. Stern Chair in Business Analytics in the Lindner College of Business at the University of Cincinnati and he has been a visiting professor at the Tuck School of Business at Dartmouth College and the School of Engineering at Stanford University.

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