#DataInTheATL is a speaker series hosted by Georgia State University Library that connects the university with a variety of Atlanta-based professionals, highlighting how data analysis is being used successfully in their daily work while introducing students to potential careers in data science.
Friday, February 7, 2020 | 11:00-12:30
Transportation GIS Solutions for the City of Atlanta
with Jeffrey M. Johnson, GIS Manager, City of Atlanta
As the Geographic Information Systems Manager for the City of Atlanta, Jeffrey provides cutting-edge geospatial solutions for better decision making in daily operations, including resource conservation, infrastructure management, and transportation improvements citywide. A lifelong Atlanta native who earned his M.A. and B.A. in Geography from Georgia State, Jeffrey has made civic engagement and bettering his city central themes of his life and work.
The Researcher in the Corporate Setting: Data Science at AT&T
with Tera Marie Greensmith, Principal Data Scientist, AT&T
Tera is data scientist and researcher with 20 years of hypothesis generation and statistical problem solution experience in multiple domains, from data visualization, visual analytics, mechanical engineering, community health, marketing, human-computer interaction, and user interface design. At AT&T, a particular area of focus involves meta-modeling and data mining to describe, analyze, and predict human behavior. Dr. Greensmith earned a B.A. in Psychology from the University of North Carolina at Charlotte and Ph.D. in Interactive Arts + Technology from Simon Fraser University.
A Special "Data [Beyond] the ATL" event co-sponsored by the GSU Humanities Research Center
Discriminating Data: Individuals, Neighborhoods, Proxies
with Wendy Chun, Canada 150 Research Chair and Professor, School of Communications, Simon Fraser University
Dr. Wendy Hui Kyong Chun has studied both systems design engineering and English literature, which she combines and mutates in her current work on digital media. She is the author of several books, notably Updating to Remain the Same: Habitual New Media (MIT Press, 2016) and Programmed Visions: Software and Memory (MIT Press, 2011). Her most recent book as co-author, Pattern Discrimination (U of Minnesota Press, 2019), explores how AI algorithms create bias and practice racial exclusions thereby inscribing power relations into media. She earned her bachelor's in systems design engineering and English (a first-of-its-kind double major) from the University of Waterloo and M.A. and Ph.D., both in English, from Princeton University.
Introduce students to possible careers in data science
Increase connections and partnerships with the Atlanta data community
Promote University Library efforts in supporting research and data services
Share expertise and promote knowledge
Data mined in