ThoughtGallery.org > Jill Lepore Discusses “If Then” with Danah Boyd

Jill Lepore Discusses “If Then” with Danah Boyd

The Simulmatics Corporation, launched during the Cold War, mined data, targeted voters, manipulated consumers, destabilized politics, and disordered knowledge―decades before Facebook, Google, and Cambridge Analytica. Jill Lepore, best-selling author of These Truths, came across the company’s papers in MIT’s archives and set out to tell this forgotten history, the long-lost backstory to the methods, and the arrogance, of Silicon Valley.

Founded in 1959 by some of the nation’s leading social scientists―“the best and the brightest, fatally brilliant, Icaruses with wings of feathers and wax, flying to the sun”―Simulmatics proposed to predict and manipulate the future by way of the computer simulation of human behavior. In summers, with their wives and children in tow, the company’s scientists met on the beach in Long Island under a geodesic, honeycombed dome, where they built a “People Machine” that aimed to model everything from buying a dishwasher to counterinsurgency to casting a vote. Deploying their “People Machine” from New York, Washington, Cambridge, and even Saigon, Simulmatics’ clients included the John F. Kennedy presidential campaign, the New York Times, the Department of Defense, and others: Simulmatics had a hand in everything from political races to the Vietnam War to the Johnson administration’s ill-fated attempt to predict race riots. The scientists of Simulmatics believed they had invented “the A-bomb of the social sciences.” They did not predict that it would take decades to detonate, like a long-buried grenade. But, in the early years of the twenty-first century, that bomb did detonate, creating a world in which corporations collect data and model behavior and target messages about the most ordinary of decisions, leaving people all over the world, long before the global pandemic, crushed by feelings of helplessness. This history has a past; If Then is its cautionary tale.

Lepore will be in conversation with danah boyd. boyd is the founder and president of Data & Society, a partner researcher at Microsoft Research, and a visiting professor at New York University. Her research is focused on making certain that society has a nuanced understanding of the relationship between technology and society, especially as issues of inequity and bias emerge. She is the author of It’s Complicated: The Social Lives of Networked Teens, and has authored or co-authored numerous books, articles, and essays. She is a trustee of the National Museum of the American Indian, a director of the Social Science Research Council, and a director of Crisis Text Line. She has been recognized by numerous organizations, including receiving the Electronic Frontier Foundation’s Pioneer/Barlow Award and being selected as a 2011 Young Global Leader of the World Economic Forum. Originally trained in computer science before retraining under anthropologists, danah has a Ph.D. from the University of California at Berkeley’s School of Information.











When: Thu., Sep. 17, 2020 at 7:00 pm - 8:30 pm
Where: Brooklyn Public Library - Central Library
10 Grand Army Plaza
718-230-2100
Price: Free
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The Simulmatics Corporation, launched during the Cold War, mined data, targeted voters, manipulated consumers, destabilized politics, and disordered knowledge―decades before Facebook, Google, and Cambridge Analytica. Jill Lepore, best-selling author of These Truths, came across the company’s papers in MIT’s archives and set out to tell this forgotten history, the long-lost backstory to the methods, and the arrogance, of Silicon Valley.

Founded in 1959 by some of the nation’s leading social scientists―“the best and the brightest, fatally brilliant, Icaruses with wings of feathers and wax, flying to the sun”―Simulmatics proposed to predict and manipulate the future by way of the computer simulation of human behavior. In summers, with their wives and children in tow, the company’s scientists met on the beach in Long Island under a geodesic, honeycombed dome, where they built a “People Machine” that aimed to model everything from buying a dishwasher to counterinsurgency to casting a vote. Deploying their “People Machine” from New York, Washington, Cambridge, and even Saigon, Simulmatics’ clients included the John F. Kennedy presidential campaign, the New York Times, the Department of Defense, and others: Simulmatics had a hand in everything from political races to the Vietnam War to the Johnson administration’s ill-fated attempt to predict race riots. The scientists of Simulmatics believed they had invented “the A-bomb of the social sciences.” They did not predict that it would take decades to detonate, like a long-buried grenade. But, in the early years of the twenty-first century, that bomb did detonate, creating a world in which corporations collect data and model behavior and target messages about the most ordinary of decisions, leaving people all over the world, long before the global pandemic, crushed by feelings of helplessness. This history has a past; If Then is its cautionary tale.

Lepore will be in conversation with danah boyd. boyd is the founder and president of Data & Society, a partner researcher at Microsoft Research, and a visiting professor at New York University. Her research is focused on making certain that society has a nuanced understanding of the relationship between technology and society, especially as issues of inequity and bias emerge. She is the author of It’s Complicated: The Social Lives of Networked Teens, and has authored or co-authored numerous books, articles, and essays. She is a trustee of the National Museum of the American Indian, a director of the Social Science Research Council, and a director of Crisis Text Line. She has been recognized by numerous organizations, including receiving the Electronic Frontier Foundation’s Pioneer/Barlow Award and being selected as a 2011 Young Global Leader of the World Economic Forum. Originally trained in computer science before retraining under anthropologists, danah has a Ph.D. from the University of California at Berkeley’s School of Information.

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