The Hidden Curriculum podcast

E58 Mid-career moves with Tom Dee

0:00
1:07:21
15 Sekunden vorwärts
15 Sekunden vorwärts

In this episode we talk with Tom Dee about moving between institutions and building a career after tenure. Tom is the Barnett Family Professor at Stanford University's Graduate School of Education, a Senior Fellow at the Hoover Institution and at the Stanford Institute for Economic Policy Research (SIEPR), and faculty director of the John W. Gardner Center for Youth and Their Communities. He serves on the editorial boards of the American Educational Research Journal, the Journal of Policy Analysis and Management, and Education Finance and Policy. His research uses quantitative methods to inform education policy and practice, with a focus on educational inequality, the economics of education, and program evaluation.


Sebastian Tello-Trillo is an Associate Professor of Public Policy and Economics at the Frank Batten School of Leadership and Public Policy at the University of Virginia.


Alex Hollingsworth is an associate professor at Ohio State University.


In this episode we discuss:


- Tom's workflow of controlled chaos: moving from research meeting to research meeting, writing papers "from the inside out", reading far outside economics, and keeping bullet-point files of ideas

- Stephen Covey's big rocks, scheduling your priorities, and giving people the syntax to say no

- Work-life balance across the seasons of a career, and the intra-household trade-offs that academic ambition creates

- Moving institutions: which dimensions of the job to weigh, why not to over-index on a dean, how to use your network to learn what a place is really like, and how senior offers come about

- Tom's own path from Swarthmore to Stanford, including the offer he first turned down

- What changes after tenure: the long post-tenure career, finding the agency to pivot, and working with policymakers and practitioners through research-practice partnerships

- The social waste of the top-five publication race, and why a PNAS paper on AP Computer Science reached far more people than a top econ journal would have

- Preregistering quasi-experimental evaluations: many-analyst studies, decision trees instead of rigid plans, and why Tom thinks economists have an open science problem


📚 Resources mentioned:


- Dee, T. (2025). "The Case for Preregistering Quasi-Experimental Program and Policy Evaluations." *Evaluation Review* 49(5): 931-945: https://doi.org/10.1177/0193841X251326738

- Huntington-Klein et al. (2021). "The influence of hidden researcher decisions in applied microeconomics." *Economic Inquiry* (the many-analysts study Alex mentions): https://digitalcommons.oberlin.edu/faculty_schol/4406

- Gelman and Carlin, "Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors" (Alex's pick for Tom): https://sites.stat.columbia.edu/gelman/research/published/retropower_final.pdf

- Stephen Covey's "big rocks" : https://www.youtube.com/watch?v=xWQWYYDBl7o

- The New Yorker on In Our Time: https://www.newyorker.com/culture/podcast-dept/escape-the-news-with-the-british-podcast-in-our-time-with-melvyn-bragg

- Tom's PNAS paper on the rollout of AP Computer Science Principles (https://www.pnas.org/doi/10.1073/pnas.2422298122)


🎮 Recommendations of the week:


- 🎙️ Tom's rec: the BBC Radio 4 podcast In Our Time with Melvyn Bragg, three academics on one topic, perfect for unloading the dishwasher

- 🚂 Alex's rec: Epic Train Journeys from Above, gorgeous low-stakes background viewing for late-night email

- 🧅 Sebastian's rec: caramelized onion pasta, a foolproof weeknight recipe (just Google it)

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