Peter Gloor

The proliferation of the Internet and smartphones allow large geographically distributed groups of people to instantaneously share information and create new things. Global but highly targeted and focused online social networks – virtual tribes – open up unprecedented opportunities to read and predict the collective mind. This course teaches how to create the “supermind”, groups of people who work together in collective consciousness to innovate and build new things impossible before. The course combines latest insights from social media monitoring, machine learning, and big data with cutting-edge research in the psychology of emotions. The degree of collaboration can be measured through seven honest signals of collaboration, strong leadership, balanced contribution, rotating leadership, responsiveness, honest sentiment, shared language, and social capital. These signals can be used for “social quantum physics”, to measure and support entanglement in teams, and the Heisenberg effect of teams, to analyze how the behavior of a group changes, if it is mirrored back its behavior. The seminar explains how to implement these concepts using the software tool Condor, developed by the lecturer and his team at MIT. Condor calculates the seven honest signals of collaboration, tracking the degree of collective consciousness on online social media such as Twitter, blogs, or Facebook, or corporate e-mail, calendar, and chat archives using dynamic semantic social network analysis and machine learning. Transparency is the key concept to deal with fake news and other kind of unverified content to assess its bias, motivation, authenticity, and correctness. While individual Internet users request transparency about how their data is being used, they also want to maintain privacy. We resolve this contradiction by showing how each person, brand, or fact is represented and interpreted on the Internet. This happens through the concept of social quantum physics: re-interpreting the past and making it transparent will positively influence the future. The “Transparency Engine” is a social network search engine that separates fact from fiction by exposing the hidden “influencers” and their “tribes” behind fake news and other news items. The workshop also introduces the “happimeter”, an innovative body-sensing device based on smartwatches. The happimeter correlates the body signals of the wearer with her/his mood states and external outcomes such as creativity, team success, or organizational performance. During the workshop, participants will use the happimeter to learn about their own mood states, to better understand what makes them happy, to create “superminds”: collaborative innovation networks, creative teams working together in collective consciousness.