“Masculinity is my new frontier,” says Ashley Martin, an associate professor of organizational behavior at Stanford Graduate School of Business. Martin, whose work examines why gender plays such a central role in how we perceive and make sense of others, has been looking at how traits associated with masculinity are simultaneously organizationally rewarded even as they’re personally harmful to men.

“We spend a lot of time talking about gender inequality through the lens of women’s disadvantage,” she says. “I think that many of the problems that we’re seeing today… are actually bound up in masculinity.”

What impact do you think masculinity and femininity have on our work and our world? Tell us more at ifthenpod@stanford.edu.

Related Content:

• Ashley Martin faculty profile
• Is that Self-Driving Car a Boy or a Girl?
• Why Taking Gender Out of the Equation Is So Difficult

Chapters:

00:00 How movies shape our ideas about masculinity

04:02 Introduction

05:15 How Ashley Martin got into studying gender

05:58 When gender is removed from hiring

07:10 The “pet rock” study

10:35 The universal use of gender

13:02 Gendering objects

15:12 How masculinity affects men

18:13 The current implications of Martin’s research

20:41 What healthier models of masculinity might look like

23:47 Ashley’s next frontier: masculinity, material culture, and social problems

25:07 Conclusion

If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership.

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Steven Callander has spent years building a mathematical framework to answer the question of how people learn from experience. “Here in Silicon Valley, the expression that you learn from failure is very widespread and very intuitive. But the question is… what do you learn? How do you optimally learn from that experience?”

In this episode, Callander, the Herbert Hoover Professor of Public and Private Management and Professor of Political Economy at Stanford Graduate School of Business, explains the hidden, deceptively simple logic of correlated learning — and it may change how you think about finding the right job, the right market, or the right strategy.

“It fascinates me and I can't stop thinking about it,” he says.

Has theory made an impact on your life? Tell us more at ifthenpod@stanford.edu.

Related Content:

• Steven Callander faculty profile
• How to Turn Old Ideas Into Creative Solutions to Modern Problems
• What We’re Still Learning from Silicon Valley’s Bank Collapse

Chapters:

00:00 Ann Miura-Ko on learning and the search for patterns in Venture capital

02:51 Introduction

05:23 What is correlated learning?

06:40 Where does this research apply in the real world?

09:28 Brownian Motion

12:45 Steven Callander’s Framework

15:25 Examples of correlated learning when seeking expert advice

20:53 Applying correlated learning

23:57 Why correlated learning research?

24:51 Conclusion

If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Seemingly unrelated activities — like taking a soccer penalty kick or crafting an online dating profile — involve an embedded economics.

“Understanding and applying economic logic can be valuable in pretty much any job or any other endeavor in your life,” says Paul Oyer, a professor of economics at Stanford Graduate School of Business.

On this episode, Oyer digs into the shared economic logic of online dating and the labor market, explains why pro athletes and sports fans think like economists, and explores how AI has reduced the beneficial friction that was once a part of job searches.

Got a question about the economics of dating, sports, or the job market? Ask us at ifthenpod@stanford.edu.

Related Content:

• Paul Oyer faculty profile
• Utility Player: Paul Oyer Explains How Economics Can Make Sports More Fun

Chapters:

00:00 Strategic decision-making in air traffic control

03:06 Introduction

03:27 Why sports are a useful lens for understanding economics

09:53 Why economics matters far beyond money

10:54 Economics & online

14:36 Applications of game theory

16:54 How AI is reshaping hiring and the labor market

22:25 The labor market challenge economists still have not solved

24:18 Conclusion

If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When should we leap instead of take the obvious next step? Why do we instinctively see gender everywhere? When do our opinions begin to feel less like ideas and more like our identity?

If/Then, from Stanford Graduate School of Business, is back with a new season of sharp, surprising conversations that deepen our understanding of business and leadership.

Each episode brings you into the room with a Stanford GSB faculty member as they discuss their research and how it challenges conventional wisdom, sharpens judgment, and reframes the way we approach complex decisions.

Join us on Wednesdays for a new season of If/Then.

What do you want to hear on If/Then? Email us at ifthenpod@stanford.edu.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on If/Then we’re sharing an episode of GSB at 100, a limited audio series created especially for Stanford Graduate School of Business’s Centennial. GSB at 100 presents a scrapbook of memories, ideas, and breakthroughs as Stanford GSB celebrates its first century and looks around the corner to what the next 100 years may hold.

On this episode of GSB at 100, you’ll experience Centennial Day, hear Dean Sarah A. Soule honor the past, celebrate the present, and look to what the future may hold. GSB at 100 depicts a school defined not only by its innovation and impact, but by its people: curious students, devoted faculty, and accomplished staff — a community of thinkers, dreamers, and doers.

Learn more about the Stanford GSB Centennial

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on If/Then we’re sharing an episode of GSB at 100, a limited audio series created especially for Stanford Graduate School of Business’s Centennial. GSB at 100 presents a scrapbook of memories, ideas, and breakthroughs as Stanford GSB celebrates its first century and looks around the corner to what the next 100 years may hold.

On this episode of GSB at 100, you’ll step inside the classrooms where teaching sparks transformation.

Learn more about the Stanford GSB Centennial

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on [If/Then or View From The Top] we’re sharing an episode of GSB at 100, a limited audio series created especially for Stanford Graduate School of Business’s Centennial. GSB at 100 presents a scrapbook of memories, ideas, and breakthroughs as Stanford GSB celebrates its first century and looks around the corner to what the next 100 years may hold.

On this episode of GSB at 100, you’ll hear from the dedicated and accomplished staff members who work behind the scenes to make Stanford GSB a community unlike anywhere else in the world.

Learn more about the Stanford GSB Centennial

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on If/Then, we’re sharing an episode of What’s Your Problem?, a show from Pushkin Industries where entrepreneurs, engineers, and scientists talk about the future they’re trying to build—and the problems they must solve to get there. Hosted by former Planet Money co-host Jacob Goldstein, each conversation explores the challenges and breakthroughs shaping the next wave of innovation.

In this episode, Goldstein speaks with Fei-Fei Li, Stanford computer scientist, former Chief Scientist of AI and Machine Learning at Google, and one of the most influential figures in the field of computer vision. Li reflects on her pioneering work developing ImageNet, the massive dataset that helped spark the modern AI revolution, and the “north star” questions that have guided her research from neuroscience to machine learning.

Together, they trace how a single insight about how humans see the world led to a paradigm shift in artificial intelligence—and how Li’s vision continues to shape the way we teach machines to see, learn, and collaborate with us.

More Resources:

• Fei Fei Li

• Stanford Institute for Human-Centered Artificial Intelligence (HAI)

• ImageNet

• What’s Your Problem?

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.

Chapters:

(00:00:00) Introducing “What’s Your Problem?”

Kevin Cool introduces the Pushkin Industries podcast hosted by Jacob Goldstein.

00:00:45 — What Is Computer Vision?

Jacob Goldstein and Fei-Fei Li explain how machines learn to see and interpret images.

00:03:18 — Real-World Uses of AI Vision

Li shares examples from healthcare, robotics, and environmental science.

00:05:06 — Discovering the Science of Seeing

How human vision research inspired Li’s lifelong “north star” in AI.

00:09:56 — Creating ImageNet

Li builds a massive image database that transforms computer vision research.

00:13:29 — Defining 30,000 Visual Concepts

How cognitive science helped shape ImageNet’s massive scale.

00:16:41 — Building the Dataset by Hand

Li's team uses global crowdsourcing to label millions of images.

00:19:38 — The 2012 Breakthrough

Jeff Hinton’s neural network shatters records and sparks the deep learning era.

00:22:19 — Data Meets Hardware

Li reflects on how big data and GPUs converged to power modern AI.

00:24:55 — Lightning Round with Fei-Fei Li

Quick insights on resilience, mentorship, and the future of human-AI collaboration.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.