#DataInTheATL is a speaker series hosted by Georgia State University Library that connects the university community with prominent members of the Atlanta data community. Invited speakers show the importance of data science in making informed decisions and how they use data analysis and expertise in their daily work.
Friday, September 20, 2019 | 11:00-12:30
All Data Are Local: Thinking Critically in a Data-Driven Society
with Yanni Loukissas, Assistant Professor of Digital Media, School of Literature, Media & Communication, Georgia Tech
Yanni Loukissas helps creative people think critically about the social implications of emerging technologies. In his new book, All Data Are Local (MIT Press, 2019), he argues that practitioners (in academia and beyond) who want to make sense of unfamiliar data must begin to think in terms of data settings – defined by the contexts in which data are made and used – not simply data sets. At Georgia Tech, Dr. Loukissas teaches courses involving civic data, computational media, and visual culture and design, and directs the Local Data Design Lab focusing on bridging disconnected areas of data studies and data visualization. He earned his Ph.D. and M.S, both in Design & Computation, from MIT and Bachelor of Architecture degree from Cornell.
Friday, October 18, 2019 | 11:00-12:30
Visualizing Our Challenges and Turning Data into Knowledge
with Ginneh Baugh, Vice President for Strategic Impact,
United Way of Greater Atlanta
Join us as Ginneh Baugh from the United Way of Greater Atlanta discusses the development of the Child Well-Being Index, a collection of data and interactive map that the community can use to assess how its children, the families that support them, and the community that surrounds them, are doing. Ginneh's areas of expertise are in turning data into knowledge, using evaluation and program outcome measurement to develop better strategies, and communicating results to champion improvements for low-income children and families. She earned her Master's in Public Policy from Johns Hopkins University and B.A. in African American Studies from the University of Georgia.
Friday, November 8, 2019 | 11:00-12:30
Natural Language Processing for Business Analytics
with Jingjing Cannon, Data Scientist at The Home Depot
As a data scientist at The Home Depot, Jingjing's passions and career come together as she explores cutting-edge areas of data science involving predictive modeling, machine learning, and artificial intelligence. In her current position, she focuses on interactions between computers and human ("natural") language to better understand customers' emotions and experience. Jingjing is currently working towards her Ph.D. in Computational Neuroscience at GSU, where she is investigating artificial neuronal networks to understand how behaviors are controlled. She earned her M.S. in Cellular and Molecular Biology & Neuroscience from GSU and bachelor's in Biology from Hubei 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