News
Can Machine Learning See Suicide Risk in Social Media Posts?
Linguistics Professor Philip Resnik (below) is testing whether machine learning could help uncover messages and subtle cues in social media postings that could indicate a user is at risk of committing suicide, giving mental health professionals a new tool to monitor patient well-being. (Illustration by Stocksy) Amid the poorly lit food pictures, duck-lipped selfies and political disinformation that swamp social media, imagine something else: a hope for saving lives.
Understanding the Caution Behind COVID-19 Vaccines
Published in Los Angeles Wave, March 25, 2021By Typhanye Vielka Dyer This year has been a trying one for us all.
Prescription for Reducing Gun Violence
A boy walks along the temporary fence installed around the parking lot of a King Soopers grocery store in Boulder, Colo., where 10 people were killed in a mass shooting on Monday. A School of Public Health professor of the practice and pediatrician says policy approaches to save lives from the dangers of vehicle accidents and smoking could also be applied to gun ownership.(Photo by AP Photo/David Zalubowski)
News from Maryland Today
University News
At 3-Year Anniversary, Grand Challenges Grants Program Reaps Major Returns
What Happens at UMD if There’s a Partial Government Shutdown?
