Beyond artificial academic debates: for a diverse, inclusive, and impactful ethnobiology and ethnomedicine.
Autor: | Reyes-García V; Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010, Barcelona, Spain. victoria.reyes@uab.cat.; Institut de Ciència i Tecnologia Ambientals, Universitat Autònoma de Barcelona (ICTA-UAB), Cerdanyola del Vallès, 08193, Barcelona, Spain. victoria.reyes@uab.cat.; Departament d'Antropologia Social i Cultural, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193, Barcelona, Spain. victoria.reyes@uab.cat. |
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Jazyk: | angličtina |
Zdroj: | Journal of ethnobiology and ethnomedicine [J Ethnobiol Ethnomed] 2023 Sep 08; Vol. 19 (1), pp. 36. Date of Electronic Publication: 2023 Sep 08. |
DOI: | 10.1186/s13002-023-00611-6 |
Abstrakt: | In answer to the question "Should ethnobiology and ethnomedicine more decisively foster hypothesis-driven forefront research able to turn findings into policy and abandon more classical folkloric studies?", in this essay I argue that a major strength of ethnobiology and ethnomedicine is their ability to bridge theories and methods from the natural sciences, the social sciences, and the humanities. Hypothesis-driven research is a powerful way to structure thinking that can lead to forefront research findings. But hypothesis-driven research is not the only way to structure thinking and is not a necessary condition to impact policymaking. To increase policy impact, ethnobiology and ethnomedicine should continue nurturing a mixture of complementary methods and inclusive approaches as fragmentation through opposing different approaches might weaken the discipline. Moreover, with the aim to play a fundamental role in building bridges between different knowledge systems and co-producing solutions towards sustainability, the discipline could benefit from enlarging its epistemological grounds through more collaborative research. Ethnobiologists' research findings, hypothesis-driven, descriptive, or co-constructed can become leverage points to transform knowledge into actionable outcomes in different levels of decision-making. (© 2023. BioMed Central Ltd., part of Springer Nature.) |
Databáze: | MEDLINE |
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