Research Team Socio-technical Systems at Durham
Welcome to the Socio-technical Systems research team at AIHS at Durham.
Our leading-edge research in SE focuses on SE for AI-based systems, Self-adaptive and Autonomous systems, decision-making under uncertainty, model-driven engineering (MDE), requirements engineering (RE) and Evidence-Based Software Engineering.
Our research informs the design of systems that involve communities of people and technology.
Prof Mariann (Maz) Hardey, Business and Computing Department, Durham University. Mariann holds a PhD. in Sociology
Current and Recent Projects:
– ALTS: AI-enabled Legal Technologies and their Consequences on Society (PI N Bencomo, Co-PIs Prof W Lucy and Prof M Hardey)(2023-24). Partially funded by the Institute of Advance Studies and the EPSRC.
– iDecide: Quantifying Uncertainty in Models using Artificial Intelligence for Personalised and Shared Decision-Making in Digital Health. (PI N Bencomo, Co-PI Prof D Monekoso) (Jun- Aug 2023)
– ERiMA: Envisioning Risk Models for Assessment of AI-based applications (Sept-Nov 2023)
– ReqModAI Requirements Models for Artificial Intelligence: Framework and Casestudy (Jul- Nov 2022)
– Research Fellowship by Leverhulme Trust “QuantUn: Quantification of Uncertainty using Bayesian Surprises” (2019-2020)