Dr Theresa Dirndorfer Anderson
Associate Professor & Course Director of the Master of Data Science and Innovation in the Faculty of Transdisciplinary Innovation (TDI), UTS
Dr Theresa Dirndorfer Anderson is Associate Professor & Course Director of the Master of Data Science and Innovation in the Faculty of Transdisciplinary Innovation (TDI) at UTS. A data and information ethicist passionate about shaping future digital infrastructures, Theresa’s work as an educator and as a researcher engages with the ever-evolving relationship between people and emerging technologies, conceptually engaging with notions of risk, uncertainty and creativity. Internationally, she is leading discussion about these issues as chair of the Information Seeking in Context international research community and founder of the Human-Centred Data Science Network.
Her career has been very transdisciplinary beginning with her studies at University of Pennsylvania, where she completed a BA in Russian/Soviet studies and Honours Degree in Diplomatic History. After completing an MA in International Relations & International Security Studies at University of Lancaster in UK, Theresa’s early professional career included work as a research analyst, diplomat and environmental education officer.
After migrating to Australia, she completed a Masters in Information Studies and PhD in Information Science at UTS, for which she was awarded the 1st Annual Emerald/EFMD Outstanding Doctoral Research Award (Information Science category) in recognition of the innovative approach taken.
Her current research projects examine the intersections between creativity, uncertainty and risk in various practice-based contexts and the connections between people and technologies in the knowledge discovery practices associated with data science. At present, she is part of a practice-based working group developing a standard for ethical AI. As Director of the TDI Master of Data Science & Innovation, Theresa draws on her expertise with data ethics at both a theoretical and practice level to embed ethical data practices into the program.