Publications

Book Chapter · 2023

Balancing the Momentum of Datafication with Qualitative Researchers as Design Thinkers

Explore the original contribution

Interactive paper exploration

Understanding tomorrow's algorithm may require investigating yesterday's design decisions.

Reconsider

Investigate the system's design history

Design forensics traces who made consequential decisions, and how and why those decisions became embedded.

The perspective the paper challenges

Datafication initiatives can treat available data as a neutral starting point, with attention concentrated on processing it more effectively.

The paper’s original contribution

The chapter proposes datafication momentum and design forensics. Earlier social choices become inscribed in systems and increasingly shape later behaviour; qualitative researchers can investigate those design histories and actively influence future systems.

Concept explorer

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Select a concept to see its role in this paper’s contribution.

Concept 01

Datafication momentum

The authors adapt technological momentum to explain how early social influences on datafication systems can become persistent influences on later social systems.

01

Extend analysis backwards in time

Design forensics adds retrospective attention to the history behind a current project, complementing the prospective orientation of established design ethnography.

PDF pp. 6–9; printed pp. 273–276.

02

Explain the persistence of design choices

Datafication momentum links three social forces—expertise, pragmatics and cognition—with three technical forces—theory, equipment and records—to show how earlier choices can stabilise and amplify.

PDF pp. 3–5; printed pp. 270–272.

Why this matters

Questions for research and practice.

This approach gives data and AI teams a way to examine what their datasets and architectures inherit, rather than limiting scrutiny to an algorithm's final outputs.

Discuss this research

Study context & evidence

A conceptual and methodological proposal illustrated through examples. It builds on existing technological-momentum, design-thinking and ethnographic research; it does not claim to invent those traditions or prove that its practices eliminate bias.

Where to find these ideas in the paper
  • Proposed concepts and principlesPrinted pages 268–276

    Datafication momentum, force taxonomy, design forensics and its three principles.

  • Practice proposalPrinted pages 277–278

    Preventative and reactive roles, traceability and proposed design forensics analyst occupation.

This exploration is based on the author-supplied full text. It distinguishes the paper’s own contribution from established concepts it draws on. For formal citation, consult the publication.