Visualizing Systemic Housing Inequality (2021-2022)
Long history of injustices spanning many generations into the past makes it difficult to see their effects and origins and even more difficult to correct them. Societies with deep histories of injustice will not be able to heal unless the inherent debt owed by those who benefit from past injustice can be visualized so that they can start to make amends. Those burdened by entrenched injustice cannot escape the effects so long as the structures embedded in society that maintain the status quo are invisible and unremedied.
This project will use the tools of live performance and big data to visualize the debts and burdens of injustice. Team members will create and use models capable of real-time generation of individual injustice debt and burden based on data collected from a wide pool of sources.
Tools on injustice like racial profilers and facial recognition systems will be used to rapidly classify participants in performances. Tools of the digital society will be used to just as rapidly compute each individual’s likely injustice debt or burden. Tools like biometric trackers will be used to map this debt and burden data onto individuals so that creative live performance can be used to visualize the debt and burden of individuals and those around them.
The team will create an interactive installation that will be sited in the Rubenstein Arts Center for two or more weeks. The installation will be animated by a live performance that incorporates the artists of SLIPPAGE: Performance|Culture|Technology alongside team members in a series of events. The performance will include a “reparations playground” component where performance participants will visualize the impact various reparations might have to help audiences see the necessity of reparations for healing.
Learn more about this project team by viewing the team's video.
Interactive installation and live performances
Ideally, this project team will be comprised of 5 graduate students and 10 undergraduate students. Interested students will likely be from a variety of backgrounds including dance, history, African and African American studies, theatre studies, sociology, cultural anthropology, public policy, economics, computational media, machine learning, big data, computer science and engineering.
Ideally there will be 2 graduate student mentors, one from a humanities/social sciences field and one from a computational media/big data/engineering background.
The team will meet weekly throughout the fall to determine the container for the installation design, discuss the project with leading social scientists and data specialists, and share news about individual research assignments.
A graduate student will be selected to serve as project manager.
Fall 2021 – Summer 2022
- Fall 2021: Begin ideation process to formulate social and technical data collection pathways; start to collect data and experiment with performance modalities
- Spring 2022: Construct software and hardware interfaces for reparations playground and injustice debt and burden visualization; choreograph for performances; perform some part of project at Choreolab 22 event
- Summer 2022 (optional): Provide live performances for Duke community as part of Rubenstein Arts Center end-of-year and summer activities; possibly perform the work elsewhere
Academic credit available for fall and spring semesters; summer funding available
- Thomas F. DeFrantz, Arts & Sciences-African and African American Studies
/yfaculty/staff Team Members
Martin Brooke, Pratt School of Engineering-Electrical & Computer Engineering