Our Research
At the CAIR Institute, research is not only about understanding complex systems—it is about making them actionable.
We develop and apply Inference Dynamics, a novel research approach that combines collective intelligence, qualitative analysis, and artificial intelligence. This approach is implemented in our analytical system Stratify (developed within the DeepDynamIQ initiative), enabling organizations to transform fragmented knowledge into structured insight, decision models, and intervention strategies.
Our work is conducted in collaboration with an international network of researchers, experts, and institutional partners. We engage closely with organizations to ensure that our research is both scientifically grounded and practically relevant.
What we offer
- AI-supported analysis of complex problem landscapes
- Structured modeling of stakeholder perspectives and system dynamics
- Development of decision architectures and intervention strategies
- Application-specific research partnerships
If you represent a business, public institution, or research organization, we invite you to explore collaboration opportunities with us.
Understanding and shaping complex decision processes
Inference Dynamics
We investigate how knowledge, perspectives, and decisions emerge in complex systems—and how AI can make these processes explicit, analyzable, and improvable.
Application Fields
Teams, Organizations & Innovation Systems
Uncovering tacit knowledge and improving collective performance
Urban Systems & Smart Cities
Applying Inference Dynamics to urban governance and sustainability
Inference-Driven Research
Strategic & Analytical Research from qualitative data to structured insight, actionable knowledge and decision models
Political & Governance Analysis
Structuring complex decision environments in public systems