Welcome to The Sensor-Based Characterization of Depression Study!
(SENSCODE)
More on the MGH-Psychiatry and MIT Media Lab Research Collaboration
In 2015, the Depression Clinical and Research Program at Massachusetts General Hospital (MGH) and the Massachusetts Institute of Technology Media Lab’s Affective Computing Group joined forces to establish the MGH-MIT Alliance. The goal of this collaboration is to employ machine learning and artificial intelligence to digitally phenotype depression, which refers to exploring people’s interactions with various devices, including smartphones, to assess their well-being. This has led to the birth of two studies: the Grand Challenge Study and Sensor-Based Characterization of Depression (SENSCODE).