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1. Researchers and industry R&D efforts by connecting domain theory, data, and human practice within executable domain models and early-stage prototypes (“living models”). The Lab’s methodological distinctiveness lies in addressing a critical yet often overlooked layer: the translation of domain theory into technological implementation. This includes, among others, the integration of learning and behaviour change frameworks, to enable human-centered and sustainable technological advancement. While domain modelling, semantic technologies, interoperability mechanisms typically operate on already-defined representations, the Lab focuses on how abstract domain concepts are first rendered into operational forms (e.g. by identifying what data is needed, how it should be captured), that are also feedback-centric by design. A central component of this approach is the development of executable living models that make proposed operationalisations visible, testable, and revisable in real-world contexts. This enables iterative refinement, grounded innovation, empirical validation and ultimately real-world impact.
2. The next generation of talent through multidisciplinary mentorship and close collaboration with industry partners, enabling them to design and develop responsible AI solutions across diverse domains. The Lab provides a space where young talent can work in cross-domain teams (NextGenMinds) to co-design and build applications and interfaces that contribute to research-oriented solutions in high-impact societal domains. Its mission is to transform ideas into living models while cultivating a new generation of students equipped with true interdicsiplinary knowledge and applied AI skills to work on technologies / models that address complex societal challenges.
Originating from joint projects in the Low-Code Application Development course and value- and learning-driven design philosophy the Living Models Lab currently connects several methodological clusters such as (H)iCARE (responsible AI for digital health), Conversational AI for Education 5.0, and HUMANE.AI (human-in-the-loop hybrid intelligence), co-designed in collaboration with the CODE section (M. Amir Haeri, S. Borsci), OOST Simulation Center (HF-CODE & BMS Lab) to advance human-centered (and human-in-the-loop) intelligence.
Collaborations are warmly welcomed with industry partners, as well as with research projects and centres across the University of Twente and beyond, both nationally and internationally.
The Lab actively encourages collaboration around real-world use cases, data access, joint mentorship for early-stage prototyping, joint PhDs with a focus on industrial applications grounded in strong scientific principles, and the co-development of proposals for seed funding and external support.
Living Models and Demos
Health 5.0
- Nutritional health recommender (well-being, pregnancy)
- LLM-enabled Workflow management assistant (HiCARE - case of reproductive healthcare)
- LLM-enabled pre-/post-procedural patient guidance (HiCARE - case of reproductive healthcare)
Education 5.0
- BuddyGPT: LLM-enabled learning assistant linked to Canvas LMS
- BuddyJ - Course Assistant
- BuddyJ-Insight: Course evaluation assistant
- Circular economy game prototype for educational support
(Student) startups
Software support
- MAESTRO: Model-driven AI for Engineering SofTware and feedback-Driven oRchestration
- MERGE: Model-driven Engine for Retrieval-Generated Execution
External PhD researchers
The lab warmly welcomes collaborations with companies interested in applied PhD trajectories focused on novel research applications in real-world business contexts. We aim to co-develop impactful solutions at the intersection of AI, data, and human-centred innovation that bridge academic insight and practical challenges, creating value for both research and industry.
Through these collaborations, companies benefit from:
- access to cutting-edge academic expertise and methods
- dedicated PhD researchers working on their specific challenges supported with scienctific guidance
- development of innovative, data-driven solutions, prototypes and decision-support tools tailored to their context
- opportunities to co-create knowledge, strengthen innovation capacity, and stay ahead in a rapidly evolving digital landscape aligned with societal needs
- strengthening their innovation capacity and long-term research partnerships
Our goal is to jointly create impactful solutions that bridge academic insight and practical needs, delivering value for both research and industry.
Marie Curie Postdoctoral Opportunities
The Living Models Lab warmly welcomes expressions of interest from researchers planning to apply for Marie Skłodowska-Curie Postdoctoral Fellowships.
We are happy to support postdoctoral projects. The lab offers supervision for projects focusing on Living Models on human-centered and responsible AI, digital twins (particularly in the domains of health and reproductive healthcare), education, and sustainability modeled within recommender systems. Interested candidates are invited to get in touch to explore joint project ideas and supervision opportunities ahead of the upcoming MSCA calls.
Associated course(s)
Hackatones
Workshops (coming soon)
To be updated
Contact: Gayane Sedrakyan (IEBIS-BMS)
Follow the Living Models Lab on Linkedin and stay informed about our living model prototypes and demos, research and thesis project opportunities.




