Close
Population-scale mental health sensing-Talk
31 October 2022, 1:00 pm–2:00 pm
Over the last decade, we have seen the rise of mental health sensing and intervention technology based on phones, wearables and machine learning. In this talk, Professor Mirco Musolesi will discuss mobile sensing technology for the assessment, prediction and intervention of depression and schizophrenia.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Professor Mirco Musolesi – Department of Computer Science
Location
-
G0166-72Gower StreetLondonWC1E 6EAUnited Kingdom
Mental illness touches nearly every family. It negatively affects mood, behaviour and functioning. It can come with tremendous personal costs. Consider the first-year college student who experiences their first depressive episode on campus after feeling anxious, isolated and suicidal. Or the outpatient living with schizophrenia who endures severe hardship, such as homelessness, victimization and incarceration. Over the last decade, we have seen the rise of mental health sensing and intervention technology based on phones, wearables and machine learning. In his talk, Professor Mirco Musolesi will discuss mobile sensing technology for the assessment, prediction and intervention of depression and schizophrenia. While many significant challenges remain, Professor Musolesi argues that future mobile and AI technology will radically change how we diagnose, manage and treat population-scale mental health – that’s the vision.
About the Speaker
Andrew T. Campbell
Professor in Computer Science at Dartmouth College
Andrew T. Campbell is the Albert Bradley 1915 Third Century Professor in Computer Science at Dartmouth College. He is known for his pioneering work in mobile phone sensing. Some of the activity inference algorithms developed by his group are now common in all smartphones. Before joining Dartmouth, he was a tenured professor of electrical engineering at Columbia University. He has been a visiting professor at CMU Rwanda, University of Salamanca and Cambridge University. At Google he worked on cardiovascular health as a member of the Android group and later as a visiting research scientist at Verily Life Sciences working on mental health sensing. His work has received a number of awards (e.g., ACM UbiComp 2022 10-year Impact Award, the ACM SIGMOBILE 2019 Test of Time Paper Award where his group "pioneered applying machine learning across local devices and servers") and has been covered widely by the popular press (New York Times, Financial Times, Economist), TV (BBC, CBS) and radio (NPR).
More about Andrew T. Campbell