International Experts Speak at Alternative Data Governance and Alternative Data Economies Seminar Series

Alternative Data Governance and Alternative Data Economies Seminar 3 Discussion

International Experts Speak at Alternative Data Governance and Alternative Data Economies Seminar Series

Author Jake Goldenfein
Date 15 June 2021

The ADM+S Centre’s Institutions Research Program based at Melbourne Law School, recently hosted a four-part seminar series on Alternative Data Governance and Alternative Data Economies in collaboration with MLS’s Centre for AI and Digital Ethics and the ANU’s Humanising Machine Intelligence groups. The series brought eight speakers from across the US, Canada, Australia, New Zealand and the UK into dialogue with discussants from ADM+S, CAIDE, HMI and the broader community.

The series began with the diagnosis that, in the digital context, laws governing privacy, data protection, and consumer protection have participated in building system of social relations in which platforms have become massive, market-like control infrastructures that have transformed individuals into ‘users’- a resource to be mined for data and attention. From there, the series explored alternative arrangements for the governance of our digitally mediated lives and economies, including collective approaches to governing data, attention, and platforms, the role of legal professionals in the ‘new economy’, and indigenous data governance for community produced data resources.

The four seminars are available online on the ADM+S Centre’s YouTube Channel:

Seminar 1 with Katharina Pistor and Salomé Viljoen (discussant Jake Goldenfein) reconceptualizing how data works in the digital economy, the ways in which platforms operate as control infrastructures, the types of social relations they instantiate, and the possibility of democratic data governance: Watch Seminar 1 Recording

Seminar 2 with Julie Cohen and Kean Birch (discussant Kimberlee Weatherall) exploring the degree to which platforms are market players, markets themselves, or something else all-together: Watch Seminar 2 Recording

Seminar 3 with Bronwen Morgan and Nathan Schneider (discussant Jeannie Patterson) discussing the role of collectives in new governance arrangements for data and platforms themselves, as well as the professional skills needed to set those new organisational arrangements in action: Watch Seminar 3 Recording

Seminar 4 with Peter-Lucas Jones and Karen Yeung (discussant Jake Goldenfein) outlining how government use of algorithms have taken the political program of ‘new public accountability’ into the new automated domain of ‘new public analytics’, and how indigenous language resources and data are being built and managed by indigenous groups, for instance using the unique data governance prescriptions of the ‘Kaitiakitanga licence’: Watch Seminar 4 Recording

The topics surfaced in these sessions have exposed a broad research agenda for reforming existing data governance arrangements and building new economic structures and institutions.

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ADM+S video highlights research in news and media focus area

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ADM+S video highlights research in news and media focus area

Author Kathy Nickels
Date 9 June 2021

The News & Media Focus Area at the ARC Centre of Excellence for Automated Decision-Making + Society (ADM+S) is one of four Focus Areas of the Centre. The News & Media Focus Area investigates the uses and impacts of automated decision-making in news work, social media platforms, and the digital media and communication environment more broadly.

In this video, researchers from the Centre’s News & Media focus area discuss the rapid progression of automated decision-making technologies in news and digital media environments, the impacts on society, and the ADM+S projects that will investigate the influence of automated decision-making on the news and media experiences of real users.

Watch the full video here

The ADM+ has four cross-centre Focus Areas: News and Media, Transport and Mobility, Health, and Social Services. The Focus Areas provide material for many of the empirical investigations within the ADM+S Centre, and they ensure our research is directed towards engagement, translation and outcomes in exemplary and essential sectors.

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Facebook and Google used to be the future of news. But now media companies need more strings to their bow.

Person on smartphone

Facebook and Google used to be the future of news. But now media companies need more strings to their bow.

Author Kathy Nickels
Date 20 May 2021

Over time news companies have developed a growing dependency on major platforms such as Facebook and Google to distribute their news. In an article published in The Conversation, James Meese and Edward Hurcombe provide historical context to this dependency, describe the compounding effects of the pandemic, and through their research, reveal new ways that media companies are generating revenue and delivering their news.

The article describes a possible shift of media companies from a dependency on generating clicks on social media to securing a more stable revenue stream.

Read the full article.

Listen to the ADM+S Podcast Facebook ‘Unfriends’ Australian News

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2020 Annual Report Published

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2020 Annual Report Published

Author Loren Dela Cruz
Date 8 May 2021

The ARC Centre of Excellence for Automated Decision-Making and Society 2020 Annual Report is now available online.

The report highlights the significant progress made during the establishment and commencement phase of the Centre. Notably this included bringing together nine Australian universities, eight international university partners, and 14 industry partners into an international research, industry and civil society network, and establishing itself as a leading organisation at the forefront of global research.

Deena Shiff, Chair of the ADM+S International Advisory Board, states “It is a credit to the Centre and its leaders that such a strong collaborative spirit has been woven into the core conceptual framework of the research program. This has been necessary, for as automation evolves, it increasingly requires an understanding of the complex interactions between data, machines, institutions, and people.”

Read the full report.

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