Algorithmic fairness is framed as a wicked problem solvable via critical pragmatism from urban planning, yielding a flexible framework with recommendations tested on mortgage lending, school choice, and feminicide data cases.
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The UK Co-Benefits Atlas design process yields a conceptual framework of five driving forces—data, people, stories, context, and the atlas itself—that shape visualization atlas creation at different stages.
citing papers explorer
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A Critical Pragmatism Approach for Algorithmic Fairness: Lessons from Urban Planning Theory
Algorithmic fairness is framed as a wicked problem solvable via critical pragmatism from urban planning, yielding a flexible framework with recommendations tested on mortgage lending, school choice, and feminicide data cases.
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Designing a Visualization Atlas: Lessons & Reflections from The UK Co-Benefits Atlas for Climate Mitigation
The UK Co-Benefits Atlas design process yields a conceptual framework of five driving forces—data, people, stories, context, and the atlas itself—that shape visualization atlas creation at different stages.