Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews
- Published
- Cheltenham, UK Edward Elgar Publishing 2023
- Physical Description
- 1 online resource
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- directory.doabooks.org , Open Access: DOAB: description of the publication
- www.elgaronline.com , Open Access: DOAB, download the publication
- Language Note
- English
- Restrictions on Access
- Open Access Unrestricted online access
- Summary
- Systematic Science Mapping (SSM) is a novel mixed methods research (MMR) design for literature reviews of large scale, thousands of publications, including entire scientific fields. SSM establishes a "big picture" view of a field's evolution, a thematic analysis of the research in a field, and synthesizes findings even in the presence of conceptual overlaps or inconsistencies. An overview of its roots in systematic literature reviews (SLRs) and science mapping is presented first before integrating them in a sequential mixed models design. Then, the application of SSM is illustrated in the field of responsible artificial intelligence (RAI). Evolutionary maps are presented as a tool for visualising the semantic drift of ethical principles over time. Based on "thick data", SSM shows a way of emphasising commonalities over differences for reducing the academic-to-practice gap in RAI. Guiding notes are provided to those who may wish to employ this MMR design.
- Subject(s)
- Other Subject(s)
- ISBN
- 9781800887954
9781800887954.00034 - Collection
- DOAB Library.
- Terms of Use and Reproduction
- Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/
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