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Practical Significance

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A podcast to inspire listeners with compelling stories from statistics and data science and to propel data-driven careers forward with learning opportunities for all

PublishesMonthlyEpisodes10Founded5 years ago
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ScienceMathematics

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Latest Episodes

Two distinguished leaders in federal statistics—Nancy Potok, former chief statistician of the United States and CEO of NAPx Consulting, and Connie Citro, senior scholar at the National Academies’ Committee on National Statistics, join hosts Donna LaL... more

Grace Wahba was awarded the 2025 International Prize in Statistics in recognition of her groundbreaking work on smoothing splines, which has transformed modern data analysis and machine learning. Wahba was among the earliest to pioneer the use of non... more

Building partnerships is at the heart of this month’s Practical Significance podcast, as cohosts Donna LaLonde and Ron Wasserstein welcome American Statistical Association colleagues Amanda Malloy, director of development, and Amy Farris, director of... more

What happens when you combine statistical expertise, cross-cultural collaboration, and a mission to build statistical capacity internationally? You get the ASA’s Educational Ambassador Program—and one inspiring episode of Practical Significance! Coho... more

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Recent Guests

Ming Yuan
Professor of Statistics at Columbia University, former student and colleague of Grace Wahba
Columbia University
Episode: Practical Significance | Episode 58: Celebrating Grace Wahba—Scholar, Mentor, Pioneer—with Ming Yuan and Yoonkyung Lee
Yoonkyung Lee
Professor of Statistics at The Ohio State University, focuses on statistical learning
The Ohio State University
Episode: Practical Significance | Episode 58: Celebrating Grace Wahba—Scholar, Mentor, Pioneer—with Ming Yuan and Yoonkyung Lee
Andrzej Kosinski
Professor of Biostatistics at Duke University Medical School and former chair of the Committee on International Relations and Statistics
Duke University Medical School
Episode: Practical Significance | Episode 56: Amplifying Global Impact Through the ASA’s Educational Ambassador Program
Paulo Canas Rodrigues
Professor of Statistics and Data Science at the Federal University of Bahia in Brazil and president of the International Society for Business and Industrial Statistics.
Federal University of Bahia
Episode: Practical Significance | Episode 56: Amplifying Global Impact Through the ASA’s Educational Ambassador Program
Lance Waller
Professor in the Department of Biostatistics and Bioinformatics at Emory University
Emory University
Episode: Practical Significance | Episode 55: Forward Stats—Frontiers of Statistics in Science and Engineering: 2035 and Beyond
Kathy Williams
Noah G. Harding Professor of Statistics at Rice University
Rice University
Episode: Practical Significance | Episode 55: Forward Stats—Frontiers of Statistics in Science and Engineering: 2035 and Beyond
Brittney Deal
Director at the National Research Council, overseeing CATS
National Academies of Sciences, Engineering, and Medicine
Episode: Practical Significance | Episode 55: Forward Stats—Frontiers of Statistics in Science and Engineering: 2035 and Beyond
Susan Paddock
Chief Scientist and Executive Vice President at NORC
NORC at the University of Chicago
Episode: Practical Significance | Episode 54: The Power of Saying, “Yes”— Volunteering & Service in the ASA
Bo Li
Professor in statistics and data science at Washington University in St. Louis
Washington University in St. Louis
Episode: Practical Significance | Episode 54: The Power of Saying, “Yes”— Volunteering & Service in the ASA

Hosts

Donna LaLonde
Co-host of the Practical Significance podcast; leads educational initiatives and works at the American Statistical Association as the Associate Executive Director.
Ron Wasserstein
Co-host of the Practical Significance podcast; serves as Executive Director and is involved in various statistical initiatives at the American Statistical Association.

Chart Rankings

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Talking Points

Recent interactions between the hosts and their guests.

Practical Significance | Episode 58: Celebrating Grace Wahba—Scholar, Mentor, Pioneer—with Ming Yuan and Yoonkyung Lee
Q: Yoon, how do you see Grace's intellectual legacy continuing to influence new generations of statistics and data scientists?
Yoon emphasized that Grace's contributions, especially in smoothing splines and kernel methods, continue to impact the field, with her techniques being fundamental tools in statistics and machine learning.
Practical Significance | Episode 58: Celebrating Grace Wahba—Scholar, Mentor, Pioneer—with Ming Yuan and Yoonkyung Lee
Q: Ming, did Grace share any wisdom or advice that has stayed with you over the course of your career?
Ming recalled two key pieces of advice: to embrace difficult problems because hard doesn't mean impossible, and to set clear expectations in collaborations.
Practical Significance | Episode 58: Celebrating Grace Wahba—Scholar, Mentor, Pioneer—with Ming Yuan and Yoonkyung Lee
Q: Yoon, can you talk to us a little bit about Grace, your initial impressions of her as a mentor and a researcher?
Yoon had heard about Grace as a renowned scholar before arriving in the U.S. and was excited about having a female role model, particularly in machine learning, which was just emerging at the time.
Practical Significance | Episode 59: The Data We Need: The State of Federal Statistics
Q: What do you hope the ultimate outcome of the project will be for the federal statistical agencies?
Connie hopes for improved data sharing and quality through collaboration among statistical agencies.
Practical Significance | Episode 59: The Data We Need: The State of Federal Statistics
Q: What keeps you up at night when you think about the future of federal statistical agencies?
Nancy expressed concerns over modernization and retention of qualified staff in a rapidly changing data environment.

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Frequently Asked Questions About Practical Significance

What is Practical Significance about and what kind of topics does it cover?

Focusing on the realms of statistics and data science, the content features engaging discussions, compelling stories, and valuable insights aimed at inspiring listeners and enhancing their professional journeys. Key topics include initiatives from the American Statistical Association, such as their Educational Ambassador Program and various career development opportunities within the field. The podcast emphasizes international collaboration in education, the intersection of statistics and public policy, and the storytelling aspect of data, making it particularly noteworthy for those interested in the practical applications of data science in real-world contexts.

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Which podcasts are similar to Practical Significance?

These podcasts share a similar audience with Practical Significance:

1. The Ezra Klein Show
2. Post Reports
3. Risky Business with Nate Silver and Maria Konnikova
4. Planet Money
5. Stats + Stories

How many episodes of Practical Significance are there?

Practical Significance launched 5 years ago and published 10 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Practical Significance?

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What guests have appeared on Practical Significance?

Recent guests on Practical Significance include:

1. Ming Yuan
2. Yoonkyung Lee
3. Andrzej Kosinski
4. Paulo Canas Rodrigues
5. Lance Waller
6. Kathy Williams
7. Brittney Deal
8. Susan Paddock

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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