106th ACSA Annual Meeting Proceedings, The Ethical Imperative

Visualizing Equity: Learning from “Data Science for Social Good” in the Built Environment

Annual Meeting Proceedings

Author(s): Gundula Proksch & Rachel Berney

Data science has developed a culture of “data science for social good,” or DSSG, to provide data analysis to public and nonprofit organizations with limited access to resources. A multidisciplinary team from the College of Built Environments had the opportunity to participate in the University of Washington DSSG summer program 2017. Their project focused on building a web-based tools for analyzing and visualizing urban equity across Seattle, Washington. This multidisciplinary collaboration created a tremendous opportunity to answer specific inquiries about visualizing equity and supporting that visual analysis with the rigor of a model. As built environment colleges continue to define and address twenty-first-century challenges, especially through the lens of urban systems and data analysis, this project is an example of a built environment-generated, public-facing tool that can serve the city, university, and community equally.

https://doi.org/10.35483/ACSA.AM.106.74

Additional Works by Author

Volume Editors
Amir Ameri & Rebecca O'Neal Dagg

ISBN
978-1-944214-15-9