Journal of Ethnobiology and Ethnomedicine | |
Beyond artificial academic debates: for a diverse, inclusive, and impactful ethnobiology and ethnomedicine | |
Debate | |
Victoria Reyes-García1  | |
[1] Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010, Barcelona, Spain;Institut de Ciència i Tecnologia Ambientals, Universitat Autònoma de Barcelona (ICTA-UAB), Cerdanyola del Vallès, 08193, Barcelona, Spain;Departament d’Antropologia Social i Cultural, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193, Barcelona, Spain; | |
关键词: Biological indices; Co-production of knowledge; Epistemology; Indigenous and local knowledge; Methods; | |
DOI : 10.1186/s13002-023-00611-6 | |
received in 2023-05-12, accepted in 2023-08-31, 发布年份 2023 | |
来源: Springer | |
【 摘 要 】
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.
【 授权许可】
CC BY
© BioMed Central Ltd., part of Springer Nature 2023
【 预 览 】
Files | Size | Format | View |
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RO202310114495319ZK.pdf | 867KB | download |
【 参考文献 】
- [1]
- [2]
- [3]
- [4]
- [5]
- [6]
- [7]
- [8]
- [9]
- [10]
- [11]
- [12]
- [13]
- [14]
- [15]
- [16]
- [17]
- [18]
- [19]
- [20]
- [21]
- [22]
- [23]