Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472

This article summarizes a podcast episode featuring Stevie Chancellor, an Assistant Professor at the University of Minnesota. The discussion centers on her research, which combines human-centered computing, machine learning, and the study of high-risk mental illness behaviors. The episode explores how machine learning is used to understand the severity of mental illness, including the application of convolutional graph neural networks to identify behaviors related to opioid use disorder. It also touches upon the use of computational linguistics, the challenges of using social media data, and resources for those interested in human-centered computing.

• •The research focuses on using machine learning to understand and identify high-risk mental health behaviors.
• •Convolutional graph neural networks are being used to analyze behaviors related to opioid use disorder.
• •The episode discusses the challenges and considerations of using social media data in research.