Big Data

Having emerged due to rapid technological progress – particularly around the ability to acquire, store and process huge volumes of data – this Research Program at Curtin Business School is still a relatively new area with much research in exploratory stages.

A server room

One key area of research is in developing viable techniques and methods for working with large volumes of information, both at the technical and organisational level. A second and related issue for investigation is in developing ways to approach a particularly unique aspect of big data: its highly unstructured nature, especially when obtained from social media or other recent sources. A third key area of work is in the implications of big data for organisations and, more broadly, for society – particularly around considerable privacy, security and policy aspects.

Currently, academics from this Research Program are actively working in the area of ontology – developing ways of classifying and structuring new types of data. There is also research activity in network science – understanding the relationships between different types of data – which has application in fields as diverse as marketing, finance and national security. Both areas of research are applied, with researchers focusing on specific domains and on new types of problems, and working collaboratively with a range of other disciplines across Curtin Business School.

Given the considerable expertise in ontology, this is a particularly strong area for higher degree by research study and supervision. Network science is also a viable area of focus for future students wishing to work at the cutting edge of this challenging field of information technology.