A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or a system, such as a built asset or a socio-technical system. By the exchange of data, information and knowledge between the physical and virtual counterparts, digital twin technology (DT) facilitates data-driven management of projects and closed loop control systems. DT’s added value mainly stems from the knowledge it delivers for planning, learning and improved decision-making. Although there are various studies in the construction management literature on DT “mode” of construction, workflows and technology, there is limited work on DT “mode” of project management, information/knowledge models and simulation of sociocultural systems. In this study, how DT may change the way projects are managed in construction will be explored with a particular emphasis on project risk management. Risk management is focused on understanding risks, quantifying their impact, devising strategies to reduce them to a tolerable level and making risk-informed decisions about the future. The increased number and quality of data as well as automation and simulation features of DT have a potential to decrease uncertainty in projects and improve risk management tasks. The primary research question is how traditional risk management practices may change in construction projects with DT. The research objectives are to develop a conceptual framework, process model and an information system for DT-enabled risk management employing a socio-technical perspective. The models will be verified and impacts on the perceived level of project uncertainty will be assessed by collecting empirical data. This role requires close collaboration with the industry. Candidates should have an interest and ideally, experience in collaborating with the industry. Background in construction project management is required. A MSc degree in construction engineering and management, engineering or a related field is preferable.
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