List

Data, Classification, and Everyday Life

 

From: Wednesday, January 30, 2019, 02:00pm

To: Wednesday, January 30, 2019, 05:00pm

data classification everydaylife 2018Guests speak on the topic of Data, Classification, and Everyday Life.

Guests include Moon Duchin (Tufts), Frank Pasquale (Maryland), and Nick Seaver (Tufts).

A symposium organized by the Classification Seminar

Academic Building West Wing, Room 6051
15 Seminary Pl., New Brunswick
Open to the public; reception to follow

What are the social and cultural consequences of ubiquitous large-scale data-gathering? The twenty-first century has seen an unprecedented expansion of information capture and storage by state bureaucracies, corporations, academic research teams, and even individuals. As the data floods in, how is it used to group and divide people and things? What preexisting classifications are brought to bear, and what principles of organization emerge? And how are these expansive data regimes experienced and contested in everyday life?

Invited guests and CCA Classification Seminar members will address these urgent questions from a variety of humanistic and social-scientific perspectives.

Moon Duchin
(Mathematics, Tufts University)
Democracy Under the Knife, Randomness, Neutrality, and Fairness in Redistricting

Moon Duchin is an associate professor of mathematics at Tufts University. She specializes in geometry, topology, and dynamics. For the last several years she been engaged in geometrical and computational research about voting and elections, serving as a consulting expert in Pennsylvania's 2018 redistricting.

Frank Pasquale
(University of Maryland Francis King Carey School of Law)
Data-Driven Duties in the Development of Artificial Intelligence

Frank Pasquale is a professor of law at the University of Maryland. He researches the law, policy, and ethics of artificial intelligence, algorithms, and machine learning. He is the author of The Black Box Society: The Secret Algorithms that Control Money and Information (Harvard University Press, 2015).

Nick Seaver
(Anthropology, Tufts University)
Sorting Listeners Out: Avidity and Difference in Algorithmic Recommendation

Nick Seaver is an assistant professor of Anthropology and Science, Technology, & Society at Tufts University. His research examines how culturally significant concepts like taste and attention are operationalized in algorithmic infrastructures.

Location

Academic Bldg West Wing, Room 6051
15 Seminary Place
New Brunswick, NJ, 08901

Contact 

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Events sponsored by the Center for Cultural Analysis are free and open to the public, unless specifically noted

 

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