A host of studies demonstrate the perils of digital platforms and automated systems: algorithmic bias, algorithmic harm, data privacy, and deep fakes. What is less clear are the myriad ways that digital platforms structure economic/financial relations and transactions in the first place. Understanding processes of data valuation is a crucial aspect of broader inquiries into the promises and perils of digital platforms.

This 2-day, in-person conference showcases programmatic research on data valuation. Each session considers the question: How do platforms produce value and monetize those value forms? The sessions are designed to stimulate discussion about value forms and valuation processes through particular lenses: digital assets, Web3 tokenization, digital twins, automated optimization, and generative AI. The discussions will consider the extent to which standard concepts (rent, commodity, property, accumulation) are relevant to these cases and examine continuities and discontinuities across different modes of digital value production.

The event opens with a keynote conversation on Generative AI featuring Julian Thomas (ADM+S) and Jean Burgess (ADM+S), moderated by Paul Dourish (PERN).

This conference inaugurates collaboration between the Platform Economies Research Network and The Australian Research Counncil Centre of Excellence for Automated Decision-making and Society (ADM+S).

Speakers:
Mark Andrejevic (ADM+S)
Kean Birch (PERN)
Jean Burgess (ADM+S)
Koray Çalışkan (PERN)
Franziska Cooiman (PERN)
Paul Dourish (PERN)
Na Fu (PERN)
Jake Goldenfein (ADM+S/PERN)
Zoe Horn (ADM+S)
Silvia Lindtner (PERN)
Fabio Mattioli (ADM+S/PERN)
James Meese (ADM+S/PERN)
Kelsie Nabben (ADM+S)
Jeannie Paterson (ADM+S)
Thao Phan (ADM+S)
Ellie Rennie (ADM+S)
Michael Richardson (ADM+S)
Janet Roitman (ADM+S/PERN)
Julian Thomas (ADM+S)
Angela Xiao Wu (PERN)

Day 1: Thursday, April 25 6:00-7:30 pm - keynote conversation
Day 2: Friday, April 26 9:00 am-5:00 pm - conference sessions 1-4

Full Program

Contact the host of Digital Platform Economies: Value from Data?