In this riveting interview, we have Dr. Marc Lanovaz, a University of Montreal professor at the forefront of integrating data science and machine learning in behavioral healthcare. We discuss the impact of cultural relevancy in behavior analysis, how machine learning can improve clinical decision-making in mental health, and a groundbreaking virtual reality application simulating the world from an autistic perspective. The discussion also delves into the utilization of machine learning in tracking and predicting behavior changes and workplace stress. Moreover, Dr. Lanovaz underlines the significance of reinforcement in behavior therapy and its potential in data-driven applications that could revolutionize behavioral science and mental health care.
Advancing Behavioral Healthcare through VR & Machine Learning: A Conversation with Dr. Marc Lanovaz
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How to get your kids to……
Motivate Your Kids to Get Things Done“Put the dishes away when you’re done.” “Don’t take your sister’s toys without asking her first.” How often do you feel like a broken record? Between after-school activities, homework, video games, soccer practice, and just keeping up with life, getting your kids to do what they’re supposed to do sometimes feels herculean and impossible.…
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Diagnosis Later in Life
Part 1 My name is Caitlin, and I’m the program director at curaJOY. I was also diagnosed with ADHD and a mood disorder at age 31, after 15 years of misdiagnosis and a lifetime of feeling somehow “behind glass” in social situations. This post will be part of a series on under- and late-diagnosis in…
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Be the Change You Want to See–Through Volunteering
Last week, I wrote about our volunteer-based product experience team working furiously on our MVP. Some of them are putting in as much as 20 hours a week! We are grateful for any donation of time, expertise, money and products. When I founded curaJOY and started ideating a digital program, friends questioned why I’d give…
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