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Workshop: Synthetic Data: Representation and/vs Representativeness
· 1 min read
In August 2025, researchers gathered at Aarhus University for a workshop examining synthetic data through the dual lens of representation and representativeness.
Organized by Hannah Devinney, Katherine Harrison, Vagrant Gautam, Irina Shklovski, and Eddie Ungless as part of the Aarhus 2025 Conference, the workshop explored how synthetic data is used to address challenges of data scarcity and privacy, while critically examining how diversity issues are handled — distinguishing between quantitative metrics of dataset composition (representativeness) and the qualities assigned to groups in that data (representation).
Francis Lee and Ericka Johnson contributed the paper The Qualities of Quantities: Making Situated Chains of Representation.