Office of the Provost
ATLANTA—Master’s and doctoral students took top prizes in the finals of the 2020 Three-Minute Thesis (3MT) competition, where they were challenged to explain their research and scholarship to a general audience in a short time.
3MT is a research communication competition developed by the University of Queensland in Australia in 2008. The premise of the competition is to develop academic, presentation and research communication skills. It supports the development of students’ capacities to explain their research in language appropriate to an intelligent but non-specialist audience.
This year’s 3MT at Georgia State University was the first to be held virtually, providing an opportunity to use different skills required for online presentations, compared to in-person events.
Six master’s and four doctoral students from multiple disciplines competed. A panel of judges awarded first-, second- and third-place prizes. The audience was also given a chance to vote for a people’s choice award in each degree category. Support for the competition was provided by the University Library and the Graduate School at Georgia State.
To view the presentations, visit https://graduate.gsu.edu/professional-development/3mtatgsu/2020-3mt-winners/.
Thesis Title: Jewish Racialization, the ‘Jewish Gene,’ and the Perpetuation of Ashkenormativity in Direct-to-Consumer Genetic Ancestry Testing in the United States
African American Studies
Thesis Title: Untold Truths: Explorations of Intra-Group Colorism & the Experiences of Light-Skinned Women that Identify as Black
3rd Place & People’s Choice
Thesis Title: Intelligent Vehicular Perception of Non-Line-of-Sight Environment using Visible Light Communication with Stereo Cameras
Role of Supermassive Black Holes Winds in Galaxy Evolution
English, Rhetoric and Composition
Recollecting Romantic Rhetoric – An Inquiry into Categorical Confusion and Cohesion
Investigating Reading Behavior and Inference-making in Advanced L2 Reading Comprehension assessment tasks
Privacy Preserving User Data Publication in Social Networks