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Approachable Modeling and Smart Methods: A New Methods Field of Study

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  • Author(s): Corey Schimpf (ORCID Corey Schimpf (ORCID 0000-0003-2706-3282); Brian Castellani (ORCID Brian Castellani (ORCID 0000-0002-8763-8052)
  • Language:
    English
  • Source:
    International Journal of Social Research Methodology. 2024 27(1):1-15.
  • Publication Date:
    2024
  • Document Type:
    Journal Articles
    Reports - Evaluative
  • Additional Information
    • Availability:
      Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
    • Peer Reviewed:
      Y
    • Source:
      15
    • Subject Terms:
      Technology Integration; Technology Uses in Education; Computer Oriented Programs; Artificial Intelligence; Man Machine Systems; Interaction; Computation; Interdisciplinary Approach; Models; Design; Program Effectiveness; Computer Software
    • Accession Number:
      10.1080/13645579.2022.2111817
    • ISSN:
      1364-5579
      1464-5300
    • Abstract:
      Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods -- AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in interdisciplinary (particularly computational) methods. AM-Smart platforms do so through nine design features. They are (1) bespoke tools that (2) involve a single or small network of interrelated (mostly computational) methods. They also (3) embed distributed expertise, (4) scaffold methods use, (5) provide rapid and formative feedback, (6) leverage visual reasoning, (7) enable productive failure, and (8) promote user-driven inquiry; all while (9) counting as rigorous and reliable tools. Examples include R-shiny programmes, computational modeling and statistical apps, public-sector data management platforms, data visualisation tools, and smart phone apps. Critical reflection on AM-Smart platforms, however, reveals considerable unevenness in these design features, which hamper their effectiveness. A rigorous research agenda is vital. After situating the AM-Smart genre in its historical context and introducing a short list of platforms, we review the above nine features, including a use-case on how AM-Smart platforms ideally work. We end with a research agenda for advancing the AM-Smart genre.
    • Abstract:
      As Provided
    • Publication Date:
      2024
    • Accession Number:
      EJ1406690