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.
Emotional Wellness
Beyond Eyeballs: Pay for Outcomes, Not Addiction
After several high-stakes responsible-tech applications and helping my daughters through college applications, I finally took a Monday off. Sauna. Cold plunge. Steam. Massage. Except…everywhere the blue light from screens stole the stillness. Signs on the changing room doors banned phones; guests had signed waivers agreeing to it; steam rooms could
