A Social Media Study on The Effects of Psychiatric Medication Use
Using a list of common approved and regulated psychiatric drugs and a Twitter dataset of 300M posts from 30K individuals, we develop machine learning models to assess effects relating to mood, cognition, depression, anxiety, psychosis, and suicidal ideation. We observe that usage of specific drugs are associated with characteristic changes in an individual’s psychopathology. We situate these observations in the psychiatry literature, with a deeper analysis of pre-treatment cues that predict treatment outcomes, and post-treatment linguistic markers correlated with positive outcomes.
This project aimed to help self-driving vehicle drivers understand how the automation works in different driving conditions. Investment in educational resources can encourage the appropriate use of automated vehicle systems, and thus create a safe driving culture and environment. Instruction method and training content were investigated in this study. In-car interactive instructions were constructed to provide knowledge on underlying principles and feature usage.
Adriana Kovashka from the University of Pittsburgh will give a virtual seminar.
Topic: To Be Determined
Members from the New York Times Research and Development team will discuss how NYT applies emerging technologies in journalism.
The new Center will advance ethics-in-technology-centered research, education, and engagement at the Georgia Institute of Technology.
GT Computing, Oct 13, 2020
GT Computing, Oct 7, 2020
GVU Resource Labs
Built for Success
A mobile computing "hackerspace."
Visit the App Lab website
Location: TSRB 333
GVU Prototyping Lab
From Concept to Creation
A rapid prototyping "makerspace."
Visit the Prototyping Lab website
Location: TSRB Basement
Testing Methods and Technology
An adaptable project testing space.
Visit the Usability Lab website
Location: TSRB 216