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of reproductive age in Australia. The outcomes from the project can be used to inform the co-design of new health services that are truly patient-centred and policy initiatives that lead to improved reproductive
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(Department of Business Law & Taxation, Monash Business School; Opportunity Tech Lab) The Opportunity This project addresses a pressing public policy and social issue: the propagation of bias in generative AI
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. Policy support is critical to accelerate their adoption but has faced setbacks and delays in Australia due to political resistance and low social acceptance. A key problem is that the models used
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will focus on evaluating the impact of preventative health policies on current and future health inequalities. Preventative health interventions can affect health inequality because baseline risks, and
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accordance with university policy Be prepared to be located at the project location(s) that the host university has approved and, if required, comply with the host university’s external enrolment procedures Be
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the supervisory team and in accordance with university policy Be prepared to be located at the project location(s) that the host university has approved and, if required, comply with the host university’s external
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imaginaries. This should provide benefits such as informing robot design and policy to improve social outcomes, consumer protections and human-robot relationships. The successful candidate is invited to submit
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environmental health economics ; economic behaviour, incentives and preferences in health ; and, economic modelling of health policies and technologies . Employment prospects PhD graduates from the Centre