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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Rebellion Against the Model Minority Role
“Asian Doesn’t Start With A+” In a TED talk featuring Olivia Lai’s ‘Asian Doesn’t Start with A+’ at TEDxPhillipsAcademyAndover, she shared that she had been conditioned to accept herself as nothing less than perfection. Like her other Asian-American friends, it was a shared experience among them to crumble under school and work pressures. She reckoned…
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Our Neutral Stance
Neutral and Diverse: Unbiased Emotional Wellness At curaJOY, we aspire to reduce the suffering of as many people as possible. Our digital social-emotional learning and behavioral health support programs are designed to broadly apply to all humans, regardless of their identity. Our outreach is centered on addressing the unique stigmas carried by diverse groups which…
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