Next week at Rutgers: Data, Classification, and Everyday Life


Next Wednesday, the yearlong seminar on classification which I am co-organizing at the Rutgers Center for Cultural Analysis is hosting a one-day symposium on “Data, Classification, and Everyday Life.” We have three exciting guests and a plan to take over the world.

Data, Classification, and Everyday Life

A symposium organized by the Classification Seminar
At the Center for Cultural Analysis

January 30, 2019 from 2 p.m. to 5 p.m.
Academic Building West Wing, Room 6051
15 Seminary Pl., New Brunswick
Open to the public; reception to follow

Moon Duchin, “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, “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, “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.

Coming later this spring

The seminar will continue with events throughout the spring, including visits from Jim English (English, Penn) on February 20 and Marion Fourcade (Sociology, Berkeley) on April 9 and 10. We are also organizing a one-day symposium on classification and citizenship on March 27.