Happimetrics

Collaborative Innovation Networks (COINs) Seminar at University of Cologne, University of Bamberg, HSLU, LUT, MIT

Seminar Overview - Fall/Winter Term 2022/23

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/Reddit/Wikipedia), 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, voice recognition and through smartwatches.

This seminar combines latest insights from happiness and emotion 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 online social media by discovering and analyzing virtual tribes. 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 users a virtual mirror of their communication patterns to users.

The goal is to leverage latest developments of AI to improve communication, leading to better collaboration, leading to more innovation, helping you understand what key factors are for leading a happier and more meaningful life.


This seminar is done jointly with Master’s students from the Universities of Cologne and Bamberg, Germany, HSLU (University of Applied Sciences Lucerne) Switzerland, and Lappeenranta University of Technology (LUT) Finland.

The course consists of three parts

  1. An introductory course on Human Dynamics/Social Network Analysis/machine learning based on the draft book manuscript “Happimetrics”

  2. Coolhunting and coolfarming exercises using the cloud based analysis tools Griffin and Galaxyscope

  3. The main part consists of project work in teams, ideally from different universities, doing a large scale project. For projects of the winter term 21/22, see the final presentations and final papers

Note that the course start and end dates are not closely aligned with local semester start and end dates, as they differ for each of the participating universities.

Check out the conference Website COINonCOINs which presents the latest research of our team: http://www.coinsconference.org. About 20% of previous seminar participants submitted their work at this conference, which is published in research journals and conference proceedings.

Questions?

Contact the instructors to get more information about the seminar