Digital Mapping Across Disciplines: Anti-Eviction Mapping Project
Erin McElroy: Anti-Eviction Mapping Project
February 6, 12-2pm
Studio @ Butler (208b Butler Library)
Lunch will be provided.
Please RSVP to [email protected] by February 4
Join faculty, researchers, students and staff for a seminar with Erin McElroy, cofounder of the Anti-Eviction Mapping Project and postdoctoral researcher at New York University’s interdisciplinary AI Now Institute. Erin will discuss the work of the Anti-Eviction Mapping Project and their approaches to public mapping pedagogy. This conversation is as part of a year-long series of workshops on discourses of place and space and the use of digital mapping and Geographic Information Systems in the classroom, Digital Mapping Across Disciplines.
Erin McElroy is a postdoctoral researcher at New York University’s interdisciplinary AI Now Institute, researching the digital platforms used by landlords in order to surveil and racialize tenants. Erin is also cofounder of the Anti-Eviction Mapping Project, a data visualization, critical cartography, and multimedia collective documenting dispossession and resistance struggles upon gentrifying landscapes. Erin earned a doctoral degree in Feminist Studies from the University of California, Santa Cruz, with a focus on the politics of space, race, and technology in Romania and Silicon Valley. More recently, Erin co-launched the Radical Housing Journal to foster housing and racial justice transnationally.
The Anti-Eviction Mapping Project is a data visualization, critical cartography, and multimedia collective documenting dispossession and resistance struggles upon gentrifying landscapes. The AEMP was founded in 2013 in the midst of the San Francisco Bay Area's Tech Boom 2.0 and resultant gentrification. Since then, it has expanded to New York City and Los Angeles as well. As a volunteer-based collective, it prioritizes producing maps, data, and stories with those most impacted by gentrification, racial dispossession, and technocapitalism.
This seminar series is supported in part through a workshop grant from ISERP.