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  4. FROM BIG DATA TO LOCAL DATA: AN EXPLORATION OF ALTERNATIVE APPROACHES TO DATA IN DESIGN
 

FROM BIG DATA TO LOCAL DATA: AN EXPLORATION OF ALTERNATIVE APPROACHES TO DATA IN DESIGN

URI
https://arbor.bfh.ch/handle/arbor/45330
Identifiers
10.63442/OKMZ5619
Date Issued
2024-05-17
Author(s)
Pierri, Paola  
Editor(s)
Bujdosó, Attila
Borda, Réka
Szerencsés, Rita
Type
Conference Paper
Language
English
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.
DOI
https://doi.org/10.24451/dspace/11957
Publisher DOI
10.63442/OKMZ5619
Publisher URL
https://cumulusbudapest2024.mome.hu/
Organization
Hochschule der Künste Bern  
Conference
CUMULUS BUDAPEST 2024: P/REFERENCES OF DESIGN: CUMULUS CONFERENCE PROCEEDINGS BUDAPEST 2024: VOLUME 1
Publisher
Cumulus Association, Moholy-Nagy University of Art and Design Budapest
Submitter
Pierri, Paola
Citation apa
Pierri, P. (2024). FROM BIG DATA TO LOCAL DATA: AN EXPLORATION OF ALTERNATIVE APPROACHES TO DATA IN DESIGN (A. Bujdosó, R. Borda, & R. Szerencsés, Eds.). Cumulus Association, Moholy-Nagy University of Art and Design Budapest. https://doi.org/10.24451/dspace/11957
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