6th Workshop on Visualization for the Digital Humanities

Provocations

Structure without Content is Meaningless.
Richard Brath

Visualizations that abstract large content down to simplistic statistical summaries spatially organized for visual consumption risk reducing semantics to meaningless structure: value is proportional to the content depicted.

A single data point is already big data.
Rodolfo Almeida & Doris Kosminsky

The climate crisis reminds us that every data point is already embedded in a complex mesh of relationships with other data, urging us to re-evaluate how we understand complexity and to create new relationships with data, which are focused not only on humans but on other forms of life that cohabit this planet.

Affirmative visualisations as reference model.
Paul Heinicker

Affirmation as the dominant model of data visualisation is locking the practice into thinking exclusively about small-scale problems.

Decolonising Digital Cultural Heritage with Counterdata Visualizations.
Sara Akhlaq & Marian Dörk

Given their colonial origin stories, museums must challenge the biases and blindspots in their collections by visualizing counterdata that highlights partialities, prejudices, and power structures in their institutions, as a way of confronting them before they get entombed in their digital cultural collections.

The Risks and Dangers of Anthropomorphic Data Visualizations.
Eugene Park

Data visualizations resembling human likeness should be critiqued and evaluated from decolonization and anti-racist perspectives that acknowledges the past offenses and mistakes found in ISOTYPE and Chernoff Faces.