Postgraduate research opportunities AI-augmented group model building: evaluating generative AI as a co-facilitator for participatory modelling of complex socio-technical challenges

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Key facts

  • Opens: Tuesday 10 March 2026
  • Deadline: Thursday 30 April 2026
  • Number of places: 1
  • Duration: 36 months
  • Funding: Home fee, Stipend

Overview

This PhD project develops and evaluates a GPT-based AI co-facilitator for Group Model Building (GMB) workshops, where stakeholders collaboratively map complex socio-technical problems using Causal Loop Diagrams (CLDs). The AI will assist in real time by suggesting causal links, visualising draft diagrams, and enabling post-workshop model refinement through a conversational interface.
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Eligibility

You should hold, or expect to hold, a first-class or upper second-class Honours degree (or equivalent) in a relevant discipline such as Management Science/Operational Research, Computer Science, Behavioural & Psychological Science, or related fields. A Masters degree or professional experience in areas such as systems thinking, AI, behavioural & psychological science is advantageous. Strong analytical and communication skills are essential. 

THE Awards 2019: UK University of the Year Winner
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Project Details

Group Model Building (GMB) is a participatory systems dynamics method in which diverse stakeholders collaboratively construct Causal Loop Diagrams (CLDs) to understand complex social and organisational problems. While powerful, GMB is resource-intensive, highly dependent on facilitator expertise, and often loses momentum once a workshop ends. This PhD addresses these limitations by developing and evaluating a GPT-based AI co-facilitator specifically designed for live GMB workshops. The AI will process real-time discussion via speech-to-text, suggest causal relationships, propose feedback loops, and visualise draft CLDs — all while keeping interpretive authority firmly with participants. Following each workshop, participants will be able to continue refining their diagrams through a post-workshop conversational interface, extending learning and engagement beyond the session itself. The project also evaluates the AI’s ability to generate clear, plain-language narratives from completed CLDs, making complex systems insights accessible to policymakers and wider audiences.

Using a mixed-methods, socio-technical research design, the project will conduct 4 to 6 comparative workshops (traditional vs AI-integrated) with 8 to 12 participants each, drawn from applied domains such as healthcare and urban planning. Data collection will include workshop recordings, CLDs, participant surveys, facilitator reflections, and AI interaction logs. Findings will be synthesised into a socio-technical framework for responsible, human-centred AI co-facilitation — one that enhances accessibility and efficiency while preserving human agency and collaborative ownership of the model.

Further information

Strathclyde Business School is committed to supporting a diverse and inclusive postgraduate research population. We make decisions on entry by assessing the whole person and not relying solely on academic achievements. On that basis, please ensure that your application (via your CV and covering letter) can evidence your resourcefulness, commitment and resilience as demonstrated by broader professional and life experiences. This evidence should be centred on your ability to undertake and complete a PhD and contribute to a positive PhD community.

If English isn't your first language, you'll need an IELTS score of 6.5 (or an equivalent test) with no individual element below 5.5.  

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Funding details

Fully-funded scholarship for 3 years covers all university tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference.

While there is no funding in place for opportunities marked "unfunded", there are lots of different options to help you fund postgraduate research. Visit funding your postgraduate research for links to government grants, research councils funding and more, that could be available.

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Supervisors

Dr Nguyen

Dr Le Khanh Ngan Nguyen

Strathclyde Chancellor's Fellow
Management Science

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Dr Khedmati Morasae

Dr Esmaeil Khedmati Morasae

Lecturer
Management Science

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Nav Mustafee (Analytics and Operations Management, University of Exeter)

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Apply

Please only upload these documents to your application:  

  • covering letter
  • an updated curriculum vitae / résumé
  • contact details of two academic referees, including email addresses  
  • academic transcripts, which must be certified copies  
  • evidence of English Language qualifications as required (if previously obtained) 

Please also indicate the title of the scholarship you are applying for in the Field of Study section of your application.

Number of places: 1

There will be a shortlisting and interview process.

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Management Science

Programme: Management Science

PhD
full-time
Start date: Oct 2026 - Sep 2027