Living Data Systems: Co-Designing Community-Based Methods And Local Technologies For Inclusive Socioeconomic Alternatives

3Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This research project aims to collaborate with underserved communities leading social justice efforts through alternative economic practices, in the co-creation of a data model based on sets that members can collect to represent meaningful, contextual and social information. Data, understood from a cooperative-value and qualitative perspective, could be interesting for the common use of the group to interpret and exchange through non-monetary transactions, in contrast to the predominantly capital value mainstream networks. This system could facilitate group conversations on collective appropriation, ownership and adaptation processes through the co-design of local, situated technologies and alternative outputs of information. Furthermore, it could be significant for existing practices and goals around socioeconomic change, autonomy or activism. It is necessary to research the implementation of novel data collecting methods and data-driven systems focused on non-traditional, qualitative and plural representations of knowledge. This could be instrumental for understanding how to visualise and integrate omitted, hidden or underrepresented experiences, how to include marginalised individuals with different backgrounds into diverse decision-making processes and how to co-design new technologies that account for shared values. On a deeper level, it could help uncover new data epistemologies and definitions emerging from the construction of new collective knowledge platforms, understood as living systems.

Cite

CITATION STYLE

APA

Guerrero Millan, C. (2023). Living Data Systems: Co-Designing Community-Based Methods And Local Technologies For Inclusive Socioeconomic Alternatives. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3544549.3577053

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free