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3100 North Quad, Ehrlicher Room

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105 S State St
Ann Arbor, MI 48109 United States

February 2017

School of Information Guest Lecture: Zhenhui (Jessie) Li, PhD, Pennsylvania State University

February 22, 2017 @ 12:00 pm - 1:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

Zhenhui (Jessie) Li, PhD Assistant Professor of Information Sciences and Technology Pennsylvania State University     "Toward Semantic Understanding of Spatial Trajectories" Abstract: How could we harness the increasingly available big… Continue Reading School of Information Guest Lecture: Zhenhui (Jessie) Li, PhD, Pennsylvania State University

March 2019

Digitally Divided: The Art of Algorithmic (In)Decision

March 20, 2019 @ 3:00 pm - 4:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

SPEAKER Katherine Behar, Baruch College (http://www.katherinebehar.com/) ABSTRACT In “Digitally Divided,” Behar presents her artwork with a focus on how algorithms dismantle and rearrange us. Across culture, algorithms have been unleashed… Continue Reading Digitally Divided: The Art of Algorithmic (In)Decision

Less Metrics, More Rando: (Net) Art as Software Research

March 27, 2019 @ 12:00 pm - 1:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

SPEAKER Ben Grosser, University of Illinois at Urbana-Champaign (https://bengrosser.com/) ABSTRACT How are numbers on Facebook changing what we "like" and who we "friend"? Why does a bit of nonsense sent… Continue Reading Less Metrics, More Rando: (Net) Art as Software Research

April 2019

Joy Rankin: Old, Raw, or New: A (New?) Deal for the Digital Age

April 11, 2019 @ 12:00 pm - 1:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

Speaker: Joy Lisi Rankin (http://joyrankin.com/) Speaker Bio: Dr. Joy Lisi Rankin is a feministi, anti-racist historian, and a Contributing Editor for Lady Science. She is also a consultant for the documentaries… Continue Reading Joy Rankin: Old, Raw, or New: A (New?) Deal for the Digital Age

Lucy Suchman: Apparatuses of Recognition: Google, Project Maven, and Targeted Killing

April 19, 2019 @ 12:00 pm - 1:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

Light lunch is provided. All talks will be recorded, pending speaker approval.  All talks will be held in the Ehrlicher Room, 3100 North Quad, 105 S. State St., Ann Arbor,… Continue Reading Lucy Suchman: Apparatuses of Recognition: Google, Project Maven, and Targeted Killing

Anna Lauren Hoffman: Data Violence: Discourse and Justice in a Datafied World

April 22, 2019 @ 3:00 pm - 4:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

Snacks are provided. All talks will be recorded, pending speaker approval.  Free and open to the public, no RSVP is required. These events are generously supported by the School of… Continue Reading Anna Lauren Hoffman: Data Violence: Discourse and Justice in a Datafied World

Tarleton Gillespie: Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media

April 25, 2019 @ 12:00 pm - 1:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

Light lunch is provided. All talks will be recorded, pending speaker approval.  Free and open to the public, no RSVP is required. These events are generously supported by the School… Continue Reading Tarleton Gillespie: Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media

September 2019

MISC Talk 9/10, Elissa M. Redmiles, “Learning from the People: From Normative to Descriptive Solutions to Problems in Security, Privacy & Machine Learning”

September 10, 2019 @ 12:00 pm - 1:00 pm
Location: 3100 North Quad, Ehrlicher Room, 105 S State St
Ann Arbor, MI 48109 United States

Title: Learning from the People: From Normative to Descriptive Solutions to Problems in Security, Privacy & Machine Learning Abstract: A variety of experts -- computer scientists, policy makers, judges --… Continue Reading MISC Talk 9/10, Elissa M. Redmiles, “Learning from the People: From Normative to Descriptive Solutions to Problems in Security, Privacy & Machine Learning”