How did data-empowered algorithms come to shape our personal, professional, and political realities? Why do we view data with primacy in establishing truth, and how did access to data - “the new oil” - come to drive such power? Working together across the two cultures, as a historian and as a practicing data scientist, our speakers will engage us in the functional, critical, and rhetorical capabilities necessary to understand and shape the future of data, as well as data’s interaction with truth and power. You can expect an engaging and accessible journey through 19th-century social physics through the development of mathematical statistics, Artificial Intelligence, Machine learning, and our contemporary corporate embrace of automated decision systems!
Chris Wiggins is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at The New York Times. His latest book, How Data Happened: A History from the Age of Reason to the Age of Algorithms (co-written with Matthew L. Jones), was published last year.
Homepage: www.columbia.e...
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Matthew L. Jones is the Smith Family Professor of History at Princeton University. His latest book, How Data Happened: A History from the Age of Reason to the Age of Algorithms (co-written with Chris Wiggins), was published last year.
Website: www.nescioquid...
Twitter: x.com/nescioquid
Book: wwnorton.com/b...
Audrey Borowski is a research fellow with the Desirable Digitalisation project, a joint initiative of the Universities of Bonn and Cambridge that investigates how to design AI and other digital technologies in responsible ways. She received her PhD from the University of Oxford and is a regular contributor to the Times Literary Supplement and Aeon. Her first monograph Leibniz in His World: The Making of a Savant is forthcoming with Princeton University Press.
Homepage: www.cst.uni-bo...
Book: press.princeto...