How Data Happened

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A01=Chris Wiggins
A01=Matthew L. Jones
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ai
algorithmic
applied mathematics
artificial intelligence
Author_Chris Wiggins
Author_Matthew L. Jones
automatic-update
big data
Category1=Non-Fiction
Category=PDR
Category=TBX
Category=UY
COP=United States
data analysis
data science
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
eq_tech-engineering
history of technology
Language_English
machine learning
PA=Available
popular science
Price_€20 to €50
PS=Active
softlaunch

Product details

  • ISBN 9781324006732
  • Weight: 589g
  • Dimensions: 160 x 239mm
  • Publication Date: 05 May 2023
  • Publisher: WW Norton & Co
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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From facial recognition—capable of checking us onto flights or identifying undocumented residents—to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn’t just appear: they are part of a history that goes back centuries, from the birth of eugenics in Victorian Britain to the development of Google search.

Expanding on the popular course they created at Columbia University, Chris Wiggins and Matthew Jones illuminate the ways in which data has long been used as a tool and a weapon in arguing for what is true, as well as a means of rearranging or defending power. By understanding the trajectory of data—where it has been and where it might yet go—Wiggins and Jones argue that we can understand how to bend it to ends that we collectively choose, with intentionality and purpose.

Chris Wiggins, an associate professor of applied mathematics at Columbia University, is the New York Times’s chief data scientist. He lives in New York City. Matthew L. Jones is a professor of history at Princeton University and has been a Guggenheim Fellow. He lives outside Princeton, New Jersey.

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