Socio-technical systems (STS) are work systems — like supermarket self-checkouts, hospital wards, and sales organisations — in which the social and technical elements must be jointly designed and optimised if the system is to perform well. 

The principle originates in the Institute’s 1950s coalfields research, where Eric Trist and colleagues demonstrated that new technologies fail when they fracture the social structures that make work meaningful. Subsequent studies across Vauxhall Motors, Courtaulds and the process industries extended this into high-automation environments. 

The founding principle — that neither subsystem can be improved at the expense of the other — remains the working grammar of socio-technical practice today. 

Recent scholarship has extended this into balanced optimisation, which treats demands from the wider ecosystem as equally pressing; and adaptive autonomy, recognising that in human-AI systems, autonomy is not fixed but distributed and renegotiated as tasks and contexts shift.

We bring an STS lens wherever new tools, agents or platforms are reshaping how people work. We are developing a multi-level STS evaluation framework for complex human-AI systems to promote effective labour market policy in Europe. We are also pioneering experiential and arts-based approaches to STS learning, including participatory performances such as Faust Shop and Memory Machine.