Using AI to Read Hidden Signals of Humans, Animals, and Plants
2025 COIN Seminar at University of Cologne, University of Bamberg, HSLU
Using AI to Read Hidden Signals of Humans, Animals, and Plants
2025 COIN Seminar at University of Cologne, University of Bamberg, HSLU
Welcome to the spring 2025 COIN (Collaborative Innovation Networks) Seminar taught at University of Cologne, University of Bamberg, and HSLU
Discover how AI is revolutionizing the way we uncover hidden, honest signals from humans, animals, and plants. Use cutting-edge tools that decode subtle, non-verbal cues, transforming how we understand emotions, thoughts, and interactions in the natural and social world.
In the rapidly evolving landscape of artificial intelligence and machine learning, the ability to decipher hidden honest signals has emerged as a groundbreaking frontier. Traditional scientific approaches have long sought to understand subtle, often non-verbal cues emitted by humans, animals, and even plants, which hold the secrets to authentic thoughts and emotions. With advancements in AI, these signals are no longer as inaccessible as they once were.
The seminar promises an immersive experience into AI tools, mostly using Python, to decode these signals and revolutionize the way we comprehend interactions within our natural and social environments.
Key topics and learning objectives of the seminar include:
• Understanding the theory of honest signals in human, animal, and plant communication.
• Introduction to Python for processing non-verbal communication data.
• Introduction to Griffin, a social network analysis system specifically developed to analyze honest signals
• Identifying and interpreting subtle cues using AI algorithms.
• Case studies in using AI to study emotional and behavioral patterns.
• Differences in signal communication across species and their implications.
• Real-time data collection techniques and their applications in fieldwork.
• Tooling for measuring and analyzing connectedness and collaboration.
• Ethical considerations in AI-based signal research.
• Practical labs on machine learning models specific to non-verbal cues.
• Creating frameworks for interdisciplinary research using honest signals.
This research seminar consists of two parts:
1. Connectedness
2. Mindreading with AI - Discovering Your Tribe
Connectedness – In an initial admission block workshop, participants will get connected in hybrid mode, co-located at the local participating institutions (HSLU, U. Cologne, U. Bamberg), to learn the foundational technologies of Happimetrics for the second, teamwork part.
Mindreading with AI - Buiding a COIN and discovering Your Tribe – form a small team, a COIN or Collaborative Innovation Network, and choose a project to analyze communication between people, animals, and plants, discovering more about yourself in the process by identifying your tribes.
Participants will join active research projects - to further the state of the art of positive psychology, using latest advances of AI and SNA, and combining it with biology and architecture. Participants will work together with researchers and practitioners in the field. The result of the seminar will be new software and hardware solutions, as well as scientific publications.
For more information contact the main instructor, Peter Gloor, at pgloor@mit.edu
here are the links to the last five previous seminars
https://sites.google.com/view/coinseminar24-25
https://sites.google.com/view/coinseminar24
https://sites.google.com/view/coinseminar23-24/
https://sites.google.com/view/coinseminar23
https://sites.google.com/view/coinseminar22-23