Zena Wood

Zena Wood

Jump to: Publications and Posts

Associate Professor, Director and Centre Lead of DDRC

Zena Wood is an Associate Professor in Digital Economy and Director of the Defence Data Research Centre (DDRC). She has been a fellow of the Alan Turing Institute (ATI) since October 2021.

Zena joined the Initiative for the Digital Economy (INDEX) in April 2019 and is based in their offices in South London. Prior to this she was employed by the University of Greenwich as a Senior Lecturer in Spatial Informatics.

Zena’s background is in Computer Science with her research focusing on how techniques from applied ontology and spatiotemporal reasoning can be used to derive value from datasets that would help us understand the impact of digital transformation within the Digital Economy. She is particularly interested in the overlap between methods that can be applied to datasets related to physical and non-physical environments. Most of her research is interdisciplinary involving collaborations with experts from geography, psychology and business.

The research in the physical world focuses on the development of representation, and data analytic, methods to identify and understand collective phenomena (i.e., groups of individuals that we wish to consider as one entity) within spatiotemporal datasets. Zena's most recent research has focused on digital transformation within the financial services sector, particularly those companies moving towards a servitization business model (e.g., a move from a product-based offering to a service- based offering).

Publications

Journal articles

Davies P, Fritzsche A, Parry G, Wood Z (2023). Data, resilience, and identity in the digital age. Strategic Change, 32(6), 169-174. DOI.
Khan MS, Charissis V, Godsiff P, Wood Z, Falah JF, Alfalah SFM, Harrison DK (2022). Improving User Experience and Communication of Digitally Enhanced Advanced Services (DEAS) Offers in Manufacturing Sector. Multimodal Technologies and Interaction, 6(3)  Abstract. DOI.
Galton AP, Wood ZM (2016). Extensional and Intensional Collectives and the De re / De dicto Distinction. Applied Ontology, 11, 205-226. DOI.
Wood Z, Galton A (2010). Identifying characteristics of collective motion from GPS running data. CEUR Workshop Proceedings, 652, 117-120.

Chapters

Wang J, Wood Z, Worboys M (2016). Conflict in Pedestrian Networks. In  (Ed) Geospatial Data in a Changing World, Springer Nature, 261-278. DOI.

Conferences

Wood Z, Godsiff P, Fletcher S (2022). Servitization: insights from applied ontology. Competitive Advantage in the Digital Economy (CADE 2022). DOI.
Wood Z, Godsiff P (2021). Establishing the Core Principles of Servitisation for Application Outside Manufacturing. Competitive Advantage in the Digital Economy (CADE 2021). DOI.
Wood Z (2014). What can Spatial Collectives tell us about their Environment?. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). DOI.
Wood Z (2013). Profiling Spatial Collectives. Research and Development in Intelligent Systems XXX. Proceedings of AI-2013. The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Cambridge. 10th - 12th Dec 2013
just updated

Blog articles