PhD Candidate | Thesis – Participatory Design of a Data-Agnostic Smart City Framework
Thesis Abstract
There is a gap in our understanding of and availability of suitable tools and mechanisms to allow access to, analysis and interrogation of smart city data sources. This problem is further exacerbated by the varying data literacy levels of citizens, identifying a need for interfaces that cater to a wider citizen base. This research endeavours to overcome this gap in data literacy through the co-design of a Smart City Framework, specifically working with remote and disconnected communities, to identify and action issues relevant to their unique geography, demographics or localised problems not faced in larger cities. The research plan will explore the development of a Minimum Viable Product (MVP) application for use by citizens, identify issues the communities wish to action through the use of, or creation of, data sources, and co-design with participants novel solutions to their data-problems.
Principal Supervisor
Associate Supervisors
