Web Seminar  The role of machine learning in behavior change

Mar. 26, 2020 | 2 PM ET/11 AM PT
Hosted by Employee Benefit News

There is no one-size-fits-all solution to health behavior change. Some people only change behavior if it is presented in the form of a game, others respond to social interactions. At Fitbit R&D, we are interested in answering some fundamental questions:

  • What motivates a person to lead a healthier life?
  • What is a real or perceived barrier for change?
  • How can Fitbit help increase users' ability to make changes?

Answering these questions requires a multi-disciplinary approach. We take advantage of health science, behavior science, behavioral economics, and machine learning to deliver interventions. In this webinar, we will review how machine learning is a key capability in making any solution smart and more personalized.


Hulya Emir-Farinas Evelina Nedlund
Hulya Emir-Farinas
Director of Data Science
Fitbit R&D
Evelina Nedlund
Associate Editor
Employee Benefit News and Employee Benefit Adviser

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