From Big Data to Local Data: An Exploration of Alternative Approaches to Data in Design

Pierri, Paola (2024) From Big Data to Local Data: An Exploration of Alternative Approaches to Data in Design. In: P/References of Design. Cumulus conference proceedings series, 1 . Cumulus Association, Moholy-Nagy University of Art and Design Budapest, Budapest, pp. 735-745. ISBN 978-952-7549-03-5

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Abstract

We live in datafied societies where data is collected and used to shape even the most intimate spheres. The last decade has seen the emergence of new and critical data practices as well as approaches to the study of data that have had little applications and impact on design so far. With increasing demands on designers to work with and use data in their practice, more reflection is needed to frame the relationship between design and data, and to expand the boundaries of how design should and could understand and use data. The paper begins by exploring the key changes from within design as a result of increased engagement with data (and specifically big data). Drawing on reflections from two practical design research cases, the paper then offers an invitation to rethink the boundaries of data and explore alternative approaches that focus on everyday data cultures. As a more nuanced understanding and use of data develops (including within design), a more nuanced knowledge of alternative data practices and critical ways of framing and exploring data is required. By tracing the new boundaries of emerging alternative data practices, this paper aims to make a contribution in this direction.

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