#57 The Credibility Crisis in Data Science

55:02
 
Share
 

Manage episode 229485037 series 2285898
By Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio streamed directly from their servers.

This week, Hugo will be speaking with Skipper Seabold about the current and looming credibility crisis in data science. Skipper is Director of Data Science at Civis Analytics, a data science technology and solutions company, and also the creator of the statsmodels package for statistical modeling and computing in python. Skipper is also a data scientist with a beard bigger than Hugo's.

They’re going to be talking about how data science is facing a credibility crisis that is manifesting itself in different ways in different industries, how and why expectations aren’t met and many stakeholders are disillusioned. You’ll see that if the crisis isn’t prevented, the data science labor market may cease to be a seller’s market and we’ll have big missed opportunities. But this isn’t an episode of Black Mirror so they’ll also discuss how to avoid the crisis, taking detours through the role of randomized control trials in data science, the rise of methods borrowed from econometrics and how to set realistic expectations around what data science can and can’t do.
LINKS FROM THE SHOW

DATAFRAMED GUEST SUGGESTIONS

FROM THE INTERVIEW

FROM THE SEGMENTS

Guidelines for A/B Testing (with Emily Robinson ~15:48 & ~35:20)

Original music and sounds by The Sticks.

60 episodes available. A new episode about every 8 days averaging 57 mins duration .