DATACULTURE: Deconstructing the Cultural Narratives Shaping the Politics of Datafied Governance in Urban Planning
Ente: European Commission
Scadenza: 2029-01-10
Importo max: 263.393,28 EUR
Paese: EU
Descrizione
The DataCulture (DC) project investigates the cultural politics of digital planning technologies in Denmark's urban governance, addressing how these tools operate beyond neutral technical functions to embed specific imaginaries of innovation, efficiency, and objectivity. Through an interdisciplinary methodology combining interface analysis, infrastructure ethnography, participatory workshops, and policy analysis, the project reveals how algorithmic planning systems embed social biases, depoliticise spatial conflicts, and transform democratic deliberation into technical optimisation. The research advances three core objectives: theoretically, it exposes symbolic power and cultural narratives legitimising algorithmic governance; methodologically, it develops bias-auditing protocols and research-creation approaches to analyse infrastructure materiality; and for policy impact, it demonstrates how these systems contribute to post-political urbanism while providing frameworks for more accountable digital governance. Building on established work in critical data studies and urban theory, the project extends analysis to encompass generative AI and automated decision-making impacts on spatial planning. The project's distinctive contribution lies in the systematic examination of symbolic power, cultural narratives and algorithmic governance of digital planning platforms through both the data they produce and the imaginaries they mobilise. The project's public installations and participatory methods ensure broader civic engagement, making this research valuable for designers, planners, and citizens navigating the datafied city as well as for scholars, policymakers, and practitioners working at the intersection of technology, culture, and urban planning.
Settori: Critical Data Studies ; Digital Governance ; Cultural Narratives ; Data ; Politics ; Urban Planning
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