معرفی
Ian Ewart is an Associate Professor at the University of Reading's School of the Built Environment, serving as Head of Construction and Engineering Management and Research Group Lead for Organisation, People and Technology. He chairs the Research Ethics Committee since 2016 and supervises undergraduate/postgraduate dissertations.
His academic journey spans engineering and anthropology:
- DPhil Social and Cultural Anthropology, University of Oxford, St Hugh's College (2007-2012)
- MSc Material Anthropology and Museum Ethnography, University of Oxford, St Hugh's College (2006-2007)
- BA (Hons) Archaeology and Anthropology, University of Oxford, Harris Manchester College (2003-2006)
- Diploma in Management Studies, University of the West of England (1990-1994)
- BEng (Hons) Mechanical Engineering, Staffordshire University (1983-1987)
Ewart's research integrates ethnographic methods with digital technology studies, examining human-technology interactions in construction and domestic settings. His work bridges engineering practice and social anthropology, focusing on skill transmission, sustainable design, and multisensory experiences in virtual environments.
Publications from 2025-2013 reveal a dominant trajectory in digital twins for socio-ecological sustainability, VR-based occupant behavior prediction, and HBIM for heritage conservation. The corpus demonstrates consistent cross-disciplinary innovation, merging archaeological reconstructions with healthcare applications while maintaining anthropological rigor.
Key recognition:
- ESRC Future Research Leader fellowship (2013) for Designing Healthy Homes project
He supervises PhD candidates like Afolabi Dania (Nigerian sustainable construction) and Joanna Hull (Heritage BIM), leveraging ESRC funding for ethnography-VR health studies. His grants emphasize participatory design and real-world impact assessment in built environments.
Leaders the Organisation, People and Technology research group, developing multisensory Roman town reconstructions with sound/smell integration to advance archaeological and architectural experience modeling.
