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ARC Future Fellowships awarded to ADM+S researchers

Author Kathy Nickels
Date 12 August 2021

Researchers from the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) have been awarded ARC Future Fellowships with over three million dollars of funding to support research projects that tackle issues of national priority.

ARC Future Fellowships reflects the Australian Government’s commitment to excellence in research by supporting excellent mid-career researchers to undertake high-quality research in areas of national and international benefit.

ADM+S Future Fellowship recipients:

The breadth of issues that these research projects address demonstrates the cross-disciplinary strengths of the ADM+S Centre.

“We’re delighted by the successes of our ADM+S colleagues in the ARC’s 2021 Future Fellowship round”, said Centre Director Julian Thomas.

“The Future Fellowship scheme plays a vital role in supporting Australia’s next generation of research leaders. Our Centre benefits enormously from the extraordinary work these scholars are doing in illuminating both the positive social possibilities and the hazards of our increasingly connected lives.”

Professor Albury’s research will engage young adult users of digital apps and social platforms with sexual health policy-makers and professionals to develop knowledge-translation resources for sexual health professionals. These resources will be designed to better help engage with young adult’s everyday practices of digitally mediated intimacy, in the context of broader understandings of content moderation and regulation, platform governance, data privacy and data security.

Associate Professor Harpur will be seeking ways to increase the employment rate of Australians with a disability. His research aims to drive advances in scholarship on ableism, informed policy reform, and transferable operational processes for the education and employment sectors, to improve the transition of people with disabilities to work.

Professor Suzor aims to find legal, ethical, technical, and commercial opportunities to counter inequality online. His project will use machine learning and custom data collection tools to create new knowledge about how digital platforms—including search engines, social media, peer economy, and news platforms—can help to tackle misogyny, racism, and other forms of structural discrimination.