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.
Allianz Worldwide Partners Australia (AWP Australia) is a world leader in insurance and assistance, offering global solutions that span health and life, travel, and automotive. Customer driven, AWP Australia’s innovative experts redefine insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.
As a data-driven company, AWP Australia utilises sound data management and practices backed by scientific research to effectively apply identified improvements. As a result, they are constantly uncovering ways of continuously improving data management and, in particular, goals surrounding smart automation and strong governance around automated decision making. Another key goal is to develop greater insights and frameworks based on understanding how data can be assessed, valued, and applied including perceptions and expectations of the consumers of insurance products. AWP Australia and CIRES have co-designed the collaborative projects as way to further these goals.
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 AWP Australia. 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.
To express your interest in this project, please email cires@uq.edu.au
project researchers
Prof Shazia Sadiq
Dr Rocky Chen (Principal Advisor)
Mr Shane Downey (AWP Australia)
partner investigator
