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  /  Peter A. Gloor

Peter A. Gloor

Peter A. Gloor is a Research Scientist at the Center for Collective Intelligence at MIT’s Sloan School of Management where he leads a project exploring Collaborative Innovation Networks.   He is also Founder and Chief Creative Officer of software company galaxyadvisors, a Honorary Professor at University of Cologne, Distinguished Visiting Professor at P. Universidad Católica de Chile and Honorary Professor at Jilin University, Changchun, China. Earlier he was a partner with Deloitte and PwC, and a manager at UBS. He got his Ph.D in computer science from the University of Zurich and was a Post-Doc at the MIT Lab for Computer Science.

His two new books „Swarm Leadership“ and „Sociometrics“ appeared 2017 at Emerald Publishing. He blogs at

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All Sessions By Peter A. Gloor

AI: Measuring employee satisfaction through digital channels
Masters&Robots Day 2
This talk extends the core principles of quantum physics, “entanglement”, and the “Heisenberg principle”, to complex human systems. Measuring entangled groups of people, and mirroring back their aggregated behavior will trigger change in human behavior, just like in quantum physics. We humans are awfully bad in discovering each other’s lies. Thanks to recent advances in artificial intelligence and machine learning, computers are much better in seeing through fake reviews and fake news, to discover the truth, and act accordingly. In our own work we are using online social media, organizational communication such as e-mail and chat, and body signals measured through sensors in smartwatches to read the emotions of large groups of people to predict their future. The talk will introduce the basic principles, applying the concept of Collaborative Innovation Networks (COINs). COINs are intrinsically motivated groups of innovators working together as virtual teams over the Internet to create something radically new. Real-world examples of our approach will include measuring happiness and creativity with body sensors, measuring business success and employee satisfaction through e-mail, and predict the outcome of elections and economical trends in online social media.