There are different approaches for developing programmatic interventions that have been described. One of them is the research-to-practice model which generally includes research from the onset and follows predefined stages for program development². Another approach is the community-centered model².

A new concept called “scientific accompaniment” has been proposed to expand and guide program development and testing¹. It aims to argue that a singular focus on evaluation has limited the ways in which science and research are incorporated into program development¹.

In addition, multiscale modeling is a successful strategy to integrate multiscale, multiphysics data and uncover mechanisms that explain the emergence of function³.

Source:

  • (1) Scientific accompaniment: a new model for integrating program .... https://www.emerald.com/insight/content/doi/10.1108/JCS-09-2021-0037/full/pdf?title=scientific-accompaniment-a-new-model-for-integrating-program-development-evidence-and-evaluation.
  • (2) Scientific accompaniment: a new model for integrating program .... https://www.emerald.com/insight/content/doi/10.1108/JCS-09-2021-0037/full/html.
  • (3) Integrating machine learning and multiscale modeling ... - Nature. https://www.nature.com/articles/s41746-019-0193-y.
  • [1]Rameshwar Gupta*,

    Research Scholar,

    Department of Lifelong Learning & Extension

    CSJM University, Kanpur, U.P. India

    Email id: [email protected]

    Whatsapp/Mobile: +918630831266

    https://orcid.org/0000-0003-3761-3591

    [1]Doctoral Student, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India, Email id: [email protected], Mobile: 8630831266, https://orcid.org/0000-0003-3761-3591

    *Single author

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