Chris Wiggins

8 statements across 3 episodes · 2 bullish · 0 bearish · 1 people on the record · first statement Dec 5, 2013 by Chris Wiggins · said 1 times in 1 episodes since 2013 · across every show →

On the record as a speaker too: Chris Wiggins's record, appearances and statements → this page counts the times other people say the name.

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Everything said about Chris Wiggins, oldest first

Dec 5, 2013
Insight
Wiggins: Students incorrectly assume that published academic papers are inherently true
“My biggest pain point is, is trying to re-educate students who have read a bad paper, and because it was published, they think it's true.”
Chris Wiggins Dec 5, 2013 ▶ 50:18 Panel Discussion // Data Driven #16 // May 2013
Dec 5, 2013 neutral
Insight
Wiggins: Data science hiring should prioritize listening skills over domain expertise
“So, I think what you're looking for is not a particularly somebody with a domain background, but somebody who's proven themselves to be a good listener.”
Chris Wiggins Dec 5, 2013 ▶ 35:45 Panel Discussion // Data Driven #16 // May 2013
Jan 16, 2015
Insight
Tech companies and digital media now operate as church, state, and engineering
“I like to think about the New York Times or any technology company now as church, state, and engineering”
Chris Wiggins Jan 16, 2015 ▶ 9:00 Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
Jan 16, 2015
Insight
Data literacy requires critical, rhetorical, and functional skills equally
“Critical literacy, rhetorical literacy, and functional literacy, I think, are all equally important parts of having a data literate society.”
Chris Wiggins Jan 16, 2015 ▶ 27:34 Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
Jan 16, 2015 positive
Insight
Wiggins: Supervised models beat clustering because errors are clear
“Working on, on supervised learning or predictive models to be reassuring because I know if I'm wrong. Whereas, you know, models where I'm clustering, I sort of never know at the end of the day, should I have clustered things a different way?”
Chris Wiggins Jan 16, 2015 ▶ 10:38 Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
Jan 16, 2015
Insight
Data science differs from ML through interdisciplinary domain collaboration
“The thing that makes data science different from machine learning is not just getting epsilon better predictive accuracy on learning, you know, cat's faces from pictures. It's this thing where you interact with somebody from a different discipline, and then so…”
Chris Wiggins Jan 16, 2015 ▶ 4:07 Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
May 31, 2023
Assertion Not checkable as stated
Wiggins: The New York Times data science team has about 22 people
“So the data science team is about a 22 person team that develops and deploys machine learning. For newsroom and business problems.”
Chris Wiggins May 31, 2023 ▶ 17:14 A Conversation with Chris Wiggins - Author of "How Data Happened"
May 31, 2023 positive
Opinion
Wiggins: Data science, not physics, won World War II
“I grew up as a physicist thinking that, you know, physics really won World War II, but now that I'm a data scientist, I realize that it was actually data science that won World War II, but that story was classified for about 75 years, which is the story of how…”
Chris Wiggins May 31, 2023 ▶ 9:33 A Conversation with Chris Wiggins - Author of "How Data Happened"
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