Data Conference Databasea Query.Farm index
Speakers

Allen Downey

Employers on the program

  1. 2024–2025PyMC Labs2 talks
  2. 2023Brilliant1 talk
  3. 2022DrivenData1 talk
  4. 2019Olin College3 talks

Bluesky: @allendowney.bsky.social

Events6
Conferences3
Talks71 keynote
Years active2019–2025
Miles between events7,2746 in-person events · 1 country

Appearances by year

201920202021202220232024202520262027
  • PyData
  • SciPy Conference (Scientific Computing with Python)
  • posit::conf (formerly rstudio::conf)

Talks

DateEventConferenceRoleTitleLinks
Dec 8, 2025PyData Boston 2025PyDataspeakerThe SAT math gap: gender difference or selection bias?
as PyMC Labs
Why do male test takers consistently score about 30 points higher than female test takers on the mathematics section of the SAT? Does this reflect an actual…Show less

Why do male test takers consistently score about 30 points higher than female test takers on the mathematics section of the SAT? Does this reflect an actual difference in math ability, or is it an artifact of selection bias—if young men with low math ability are less likely to take the test than young women with the same ability?

Video
Aug 12, 2024posit::conf(2024)posit::conf (formerly rstudio::conf)keynoteA future of data science
as PyMC Labs
In the hype cycle of data science, I suggest that the "peak of inflated expectations" was in 2012, the "trough of disillusionment" was in 2016, and since then,…Show less

In the hype cycle of data science, I suggest that the "peak of inflated expectations" was in 2012, the "trough of disillusionment" was in 2016, and since then, we have climbed the "slope of enlightenment".

Video
Jul 10, 2023SciPy 2023SciPy Conference (Scientific Computing with Python)speakerTaming Black Swans: Long-tailed distributions in the natural and engineered world
as Brilliant
Long-tailed distributions are common in natural and engineered systems; as a result, we encounter extreme values more often than we would expect from a…Show less

Long-tailed distributions are common in natural and engineered systems; as a result, we encounter extreme values more often than we would expect from a short-tailed distribution. If we are not prepared for these "black swans", they can be disastrous.

Nov 9, 2022PyData NYC 2022PyDataspeakerChasing the Overton Window
as DrivenData

You might have heard that "If you are not a liberal at 25, you have no heart. If you are not a conservative at 35, you have no brain." But is it true?

Video
Nov 4, 2019PyData New York City 2019PyDataspeakerThe Inspection Paradox is Everywhere
as Olin College
The inspection paradox is a statistical illusion you’ve probably never heard of. It’s a common source of confusion, an occasional cause of error, and an…Show less

The inspection paradox is a statistical illusion you’ve probably never heard of. It’s a common source of confusion, an occasional cause of error, and an opportunity for clever experimental design.

Video
Jul 8, 2019SciPy 2019SciPy Conference (Scientific Computing with Python)tutorialUntitled
as Olin College
Jul 8, 2019SciPy 2019SciPy Conference (Scientific Computing with Python)speakerGenerational Changes in Support for Gun Laws: A Case Study in Computational Statistics
as Olin College

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Thomas J. Fan4—2023
Isabel Zimmerman3—2025
Daniel Chen3—2024
Julia Signell3—2023
Melissa Weber Mendonça3—2023
Ralf Gommers3—2023
Colin Carroll3—2022
Thomas Caswell3—2022
Benjamin Batorsky2—2025
Caitlin Lewis2—2025
Deepyaman Datta2—2025
Eric Ma2—2025
Isaac Godfried2—2025
Itamar Turner-Trauring2—2025
Kushal Kolar2—2025

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.