Collaborative Innovation Networks
Welcome to the MIT/University of Cologne/University of Bamberg/HSLU Collaborative Innovation Networks (COINs2020/21) seminar!
OVERVIEW
In this seminar we will apply the breakthrough advances in AI and machine learning to predicting the future, based on "honest signals of communication" from online social media (Twitter/YouTube), E-Mail, and face-to-face interaction. In particular, we will recognize emotions of individuals and groups through their language, but also their body signals such as facial expressions using image recognition.
This seminar combines latest insights from happiness and emotions research with social media monitoring, machine learning, and big data. You will learn about general principles of emotions in the context of positive psychology and behavioral economics. The seminar also introduces the concept of “coolhunting” in three information spheres, the crowd – mostly found on Twitter, the experts – found on blogs and Web sites, and the swarm – on Wikipedia and in online forums. It shows how to do “coolfarming”, tracking and supporting the creation of Collaborative Innovation Networks (COINs) by analyzing e-mail and other communication archives and providing a mirror of their communication patterns to users.
The goal is to improve communication, leading to better collaboration, leading to more innovation, helping you to understand what key factors are for leading a happier and more meaningful life.
The degree of collaboration can be measured through seven honest signals of collaboration: strong leadership, balanced contribution, rotating leadership, responsiveness, honest sentiment, shared context, and social capital. The seminar explains how to implement these concepts using the software tool Condor and the Happimeter, developed by our team at MIT, U. Cologne, and U. Bamberg. Condor calculates the seven honest signals of collaboration, tracking the degree of collective consciousness face-to-face with the happimeter, on online social media such as Twitter, blogs, or Facebook, or corporate e-mail, calendar, and skype archives using dynamic semantic social network analysis and machine learning. The Happimeter is a smartwatch based sensor that measures emotions based on the body signals of the wearer.
After a 2-day introductory block course students will form teams with participants from different locations, selecting a topic and independently work as a COIN, solving a complex business problem as a virtual team, thus experiencing the joys and obstacles of multinational collaboration. Prior to the block course, students will do an individual e-mail and Twitter analysis and a paper reading assignment.
The course is based on the two new books by Peter Gloor
Swarm Leadership and the Collective Mind: Using Collaborative Innovation Networks to Build a Better Business , Emerald Publishing, London, 2017
Sociometrics and Human Relationships: Analyzing Social Networks to Manage Brands, Predict Trends, and Improve Organizational Performance , Emerald Publishing, London 2017
Check out the Virtual Brownbag COINonCOIN which presents the latest research of our team