AI-Augmented Group Model Building: Evaluating Generative AI as a Co-Facilitator for Participatory Modelling of Complex Socio-Technical Challenges University of Strathclyde in United Kingdom

This PhD project at the University of Strathclyde’s Department of Management Science focuses on developing and evaluating a GPT-based AI co-facilitator for Group Model Building (GMB) workshops. GMB is a participatory systems dynamics method where stakeholders collaboratively construct Causal Loop Diagrams (CLDs) to understand complex socio-technical challenges. The project aims to address limitations of traditional GMB, such as reliance on skilled facilitators and limited post-workshop engagement, by integrating generative AI into the facilitation process.

The AI co-facilitator will process real-time workshop discussions using speech-to-text technology, suggest causal links, propose feedback loops, and visualise draft CLDs, while ensuring interpretive authority remains with participants. A post-workshop conversational interface will enable continued model refinement, extending stakeholder engagement beyond the session. The project also evaluates the effectiveness of AI-generated plain-language narratives from CLDs, making complex systems insights more accessible to policymakers and public audiences.

Research will involve 4–6 comparative workshops (traditional vs AI-integrated) with participants from domains such as healthcare and urban planning. The mixed-methods, socio-technical design will assess impacts on modelling accuracy, inclusivity, participant experience, and accessibility of systems thinking for non-expert audiences. Findings will be synthesised into an open-source, replicable framework for ethical human–AI co-facilitation in participatory modelling.

Funding is available for UK students, covering all university tuition fees and an annual tax-free stipend at the UKRI rate for three years. International students are eligible to apply but must secure funding for the difference between home and international tuition fees; exceptional candidates may be provided funding for this difference. Applicants should have a strong academic background in computer science, management science, systems engineering, or related fields, and demonstrate interest in AI, participatory modelling, and socio-technical systems. Experience with programming, data analysis, or workshop facilitation is desirable. International applicants must meet English language requirements.

The application deadline is April 30, 2026. Interested candidates should apply online via the University of Strathclyde portal, submitting a CV, academic transcripts, and a personal statement. For further information, contact the Department of Management Science or refer to the FindAPhD project link.