This IAP course will teach you how to measure and increase individual happiness and wellbeing, team collaboration and performance, and organizational culture and values, by leveraging the latest advances in AI, NLP, machine learning, and social network analysis to reach groupflow. Groupflow extends the flow concept coined by psychologist Mihaly Csikszentmihalyi to teams. Groupflow enables teams to reach their highest productive and creative state, cooperating above and beyond of what each team member is capable of. Research has clearly shown what creates happy and motivated employees – giving them respect, empower them to take their own decisions, and be an empathic, humble leader – but it is awfully hard to actually lead by those principles.

Our approach consists of analyzing individuals’ communication patterns and making them self-aware by mirroring their behavior back to them in a privacy-respecting way.  This method is based on 20 years of research from our MIT Collaborative Innovation Networks (COIN) project on leadership, creativity, team building, and positive psychology.

The course is based on the forthcoming book “Groupflow - Leveraging AI to untangle the surprising link between ethics, happiness, and business success”

Enrollment: advance signup required by January 23, limited to 25 participants

Attendance: first session teaches basic concepts; second session is small group discussion about use cases and potential projects

Prereq: Basic statistics skills and computer literacy

Instructor: Peter Gloor, pgloor@mit.edu

E-Mail instructor to sign up.