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10/05/24 • 0 min
Power dynamics in the office can have an outsized impact on your career. When we talked to Deborah Gruenfeld in Season One of If/Then, she shared expert insights on navigating workplace power and influence. And some exciting news - that episode has been nominated for a Signal Award. Help us win a Listener Choice Award by casting your vote at stanford.io/ifthenpower. A log-in is required to vote. Thank you for helping us make this possible!
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Power dynamics in the office can have an outsized impact on your career. When we talked to Deborah Gruenfeld in Season One of If/Then, she shared expert insights on navigating workplace power and influence. And some exciting news - that episode has been nominated for a Signal Award. Help us win a Listener Choice Award by casting your vote at stanford.io/ifthenpower. A log-in is required to vote. Thank you for helping us make this possible!
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Previous Episode

Why I Research: Findings Fueled by the Head and the Heart
This special episode of If/Then: Business, Leadership, Society explores the personal stories behind Stanford GSB faculty's groundbreaking research. Discover how individual experiences shape scholarly inquiry.
- Baba Shiv, professor of marketing, examines decision-making and the brain's liking and wanting systems. His self-proclaimed "irrational" nature led him to question whether good decisions are based on reason or emotion.
- Mohammad Akbarpour, professor of economics, found his passion in market design, seeing economics as "the right mix of thinking about humans and mathematics." His research on welfare economics stems from observing economic disparities in his native Iran.
- Deborah Gruenfeld, professor of organizational behavior, studies power dynamics inspired by her early career and family history. Her work reveals how even arbitrary positions of authority can dramatically alter behavior.
These faculty remind us that behind every groundbreaking theory are real people driven by curiosity to make sense of the world around them. Join us to hear how personal journeys fuel impactful business research.
Key Takeaways:
- Personal experiences shape research: Leading scholars draw inspiration from their own lives and observations, leading to innovative research questions and approaches.
- Challenging assumptions drives discovery: Researchers like Baba Shiv, Mohammad Akbarpour, and Deborah Gruenfeld push boundaries by questioning fundamental assumptions in their fields and themselves, leading to new insights.
- Human stories behind data: This episode reveals that even in data-driven fields like economics and organizational behavior, personal narratives and curiosity play a crucial role in shaping impactful research.
More Resources:
- Baba Shiv, faculty profile
- Mohammad Akbarpour, faculty profile
- Deborah Gruenfeld, faculty profile
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. For a full transcript of this episode, visit our podcast’s website: https://www.gsb.stanford.edu/insights/why-i-research-findings-fueled-head-heart
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Next Episode

The Future of Everything: “Kuang Xu: How to Make (and Keep) Genetic Data Private”
One underappreciated fact about the explosion in genetic databases, like consumer sites that provide information about ancestry and health, is that they unlock valuable insights not only into an individual’s past and future, but also for that individual’s entire family.
This raises serious concerns about privacy for people who have never submitted their genetic information for analysis, yet share much the same code as one who did.
This week on If/Then, we’re sharing an interview from The Future of Everything with Stanford GSB Professor Kuang Xu. Xu is an expert in how genetic information can and should be used. He says that the DNA problem weighs heavily on privacy experts in fields ranging from law and engineering to public health and criminal justice.
The fundamental question is: Can we create methods for accessing genetic data while maximizing the privacy of all involved?
The Future of Everything is Produced by Stanford Engineering. For a full transcript of this episode, visit The Future of Everything’s website.
Chapters:
(00:00:00) Introduction
Host Kevin Cool introduces an episode featuring The Future of Everything podcast with host Russ Altman and guest Kuang Xu, a professor at the GSB.
(00:03:24) Genetic Technology and Privacy Risks
The key ideas and methodology behind making genetic searches more private.
(00:06:23) Social Network and Genealogy in Genetic Searches
How a genealogy network functions as a social network in genetic searches.
(00:09:23) Technical Aspects of Securing Genetic Data
The difference between sequential and static methods for genetic searches.
(00:11:19) Practical Application of Sequential Methods
Ways the sequential search method could be applied without compromising privacy.
(00:12:43) First Steps in Sequential Search
What the first steps would look like when using the sequential search method.
(00:14:41) Balancing Accuracy and Privacy
Whether the new privacy methods compromise accuracy in identifying individuals.
(00:15:22) Applications in Genetic Research
How privacy methods can apply to genetic research for disease prediction and beyond.
(00:18:22) Insights During Research
Surprise findings from Kuang’s research on genetic privacy.
(00:21:28) Privacy Beyond Genetics
The possibility of applying these privacy techniques to other sensitive datasets.
(00:22:58) Commercial Interest in Privacy Solutions
The interest from companies in adopting these privacy innovations.
(00:24:09) Genetics and Business School Connection
Kuang’s work at Stanford’s School of Business and how it connects to genetics and privacy.
(00:25:30) Emergency Room Waiting Times
Research related to reducing waiting times in emergency rooms.
(00:26:57) In-Person Voting and COVID-19 Spread
Overview of data collected during in-person voting during COVID-19.
(00:27:54) Conclusion
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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