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Testing the quality of transformative science methods: the example of the Human Scale Development approach

Scholars and funding bodies alike are increasingly calling for transformative research that delivers socially robust and impact-oriented outcomes. This paper argues that the Human Scale Development approach (HSDA) introduced by Max-Neef and colleagues in Latin America during the 1980s can serve as a...

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Detalles Bibliográficos
Autores principales: Spiering, Salina, Barrera, María del Valle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136104/
https://www.ncbi.nlm.nih.gov/pubmed/34035864
http://dx.doi.org/10.1007/s11625-021-00966-3
Descripción
Sumario:Scholars and funding bodies alike are increasingly calling for transformative research that delivers socially robust and impact-oriented outcomes. This paper argues that the Human Scale Development approach (HSDA) introduced by Max-Neef and colleagues in Latin America during the 1980s can serve as a method for transformative science (TSc). HSDA is both a theory and a participatory methodology and thus contributes toward fulfilling the objectives of TSc, which are scientific, practical and educational. In this paper, we begin by explicating how the fundamental human needs (FHN) approach of the HSDA can support scholars and practitioners alike in addressing complex sustainability challenges. We then refer to the methodological adaptations to the original proposal that we have previously developed to illustrate how Max-Neef's methodological approach might be further extended and to demonstrate how these changes can strengthen HSDA and make it even more useful for generating knowledge needed in sustainability transformations. To inform and support research that builds on the co-production of knowledge, we test HSDA with regard to TSc quality criteria and show how it adds value to the existing canon of TSc methods. To this end, we develop an analytical framework that can be deployed to assess the quality of TSc methods.