Value Measurement of Data Products


About the Project

Evaluating data products is a complex problem that transcends technical, organisational and customer perspectives. The provenance and transformations of data products through methods such as information extraction, fusion and aggregation add to the challenge. To date there is no rigorously developed framework for evaluating data products and the monetary, or public good value, it creates.

In collaboration with global insurance company, Allianz Worldwide Partners (AWP) Australia, this project will challenge and extend the current body of knowledge on value of data products including computation, human effort and perceived value, and deliver a domain-agnostic framework that will build business capacity on informing and prioritising data science projects.


About the Candidate

The ARC Training Centre for Information Resilience (CIRES) invites highly motivated and committed candidates to apply for a fully funded PhD position focused on how to maximise data driven value creation and capture. In line with CIRES’s industry engagement objectives, the position is defined and co-funded in close collaboration with Allianz Worldwide Partners (AWP) Australia, the world’s largest diversified insurance company. This scholarship is one of two CIRES projects with Allianz related to organisational and transformational aspects of data, algorithms, and AI.

The successful candidate is expected to have a good understanding of concepts from data science, business process, applied statistics, numerical linear algebra, and machine learning. This project also requires proficiency in Python programming language and machine learning software packages, as well as experience in data processing and data analysis.


project researchers
Dr Wen Hua (Principal Advisor)
Prof Shazia Sadiq
Mr Shane Downey (Allianz Worldwide Partners Australia)
partner investigator