
Trustworthy and insightful algorithms for industrial decision making
This research project will use state-of-the-art optimisation technologies in the form of mathematical models and algorithms to find optimal solutions for industry
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This joint PhD project is based at The University of Melbourne with a 12-month stay at the Shanghai Jiao Tong University.
Key questions:
Project description
Innovation underpins economic growth and social prosperity, which does not happen in isolation but relies on a supporting ecosystem as highlighted in the annual Australian Innovation System Report.
A functional regional innovation system (RIS) provides such an ecosystem, but little is known about its potential structure and growth trajectory, nor the governance mechanisms to support its resilience.
Current studies have offered insights towards microlevel dynamics based on company and/or sectorial analysis, but failed to unveil satisfactorily the growth trajectory of a RIS (Luo & Sun 2020), crucial to understanding the resilience of a system to crises, such as the current COVID-19 pandemic. Australia’s Innovation System Report covers static indicators but says little about why changes happen, calling for in-depth study in this regard.
Therefore, a comprehensive definition and measurement structure of RIS governance is needed to better compare and improve its efficiency and effectiveness.
This PhD project aims to shed light on nurturing a functional RIS through a better understanding of its structure, growth, and governance mechanisms. Yangtze River Delta and the State of Victoria are chosen as case studies, investigated through a mixed quantitative-qualitative method.
The project will be complemented by the project on 'Housing the creative workers: a comparative study of Shanghai and Melbourne' and the collaboration will ensure the successful completion of both projects.
This research project will use state-of-the-art optimisation technologies in the form of mathematical models and algorithms to find optimal solutions for industry
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