Pandemic exposed mental health divide among college students

Starting in 2017 Dartmouth Computer Science and PBS researchers began following 200 undergraduates across their four year college experience and then the pandemic happened. Using behavioral data from phones, the researchers used deep learning to predict whether students fell into a high-COVID-concern or low-COVID-concern group, demonstrating the potential that smartphone sensing and artificial intelligence have to detect mental health issues.

The Washington Post covered the research reported in a paper presented by Subigya Nepal, Guarini '23, at CHI Conference on Human Factors in Computing System, May 2022. Read the article here: