Wellbeing Through Behavioral Sensing
As a doctoral student in the MIT Media Laboratory in the early 2000s Tanzeem created the sociometer, a wearable device that uses mobile sensors to model human social networks. This early work led to a new field of research referred to as Reality Mining. At Cornell, Tanzeem developing mHealth systems that use mobile sensing and machine learning to support behavioral and emotional wellbeing.
Using the CrowdSignals Data
Tanzeem will use data from the CrowdSignals Campaign to advance her ongoing research in mHealth. In particular, the large number and diversity of CrowdSignals participants will allow her to build and verify much more robust models of behavior that apply more broadly to potential users.
"I was really excited to hear about this project. [...] By unifying the interests
of the researchers as well as the stakeholders we can potentially reach out to more
people and really get the scale of data we need to make mobile sensing really successful
and effective across a wide range of people."
- Tanzeem Choudhury, Associate Professor, Cornell University