Reconstructing and Translating Indigenous Ecological Culture Under the Impact of Innovative Technologies

Authors

  • MIN HUI KAO College of Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
  • PO-CHIH CHIU Guangzhou Institute of Science and Technology, Guangzhou
  • LIANG YUN WANG Department of Logistic Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

Keywords:

traditional ecological knowledge, science and technology studies, appropriate technology

Abstract

Rapid advances in innovative technologies - such as artificial intelligence (AI), unmanned

vehicles, automated sensing systems, and genetic modification-are profoundly reshaping the

conditions under which Indigenous traditional ecological knowledge (TEK) and socio - cultural

practices are sustained. These transformations raise not only practical concerns but also

ontological questions regarding cultural continuity and emerging forms of digital colonialism.

This study examines how the introduction of innovative technologies restructures social order

and food-related cultural practices within Indigenous communities, with particular attention to

Austronesian groups in Pingtung and Taitung, Taiwan. Drawing on science and technology

studies (STS), cultural anthropology, agricultural biotechnology, and information engineering,

the study conceptualizes a culturally resilient socio-technical network (STN) as an analytical

framework for understanding these transformations. This research project extends to four sub

projects to carry out concrete actions: hoping to promote national digital transformation while

implementing the spirit of diversity, equity, and inclusion (DEI) and social reconciliation,

ensuring a deep dialogue between technological development and social needs, so that

innovative technologies become guardians rather than substitutes of indigenous cultures.

References

Brown, G., & Fagerholm, N. (2015). Empirical PPGIS/PGIS mapping of ecosystem services: A review and evaluation. Ecosystem Services, 13, 119-133. https://doi.org/10.1016/j.ecoser.2014.10.007

Chen, P., Chen, A., & Wang, C. (2024, 2024//). STAFuse: A Feature Decomposition Network wit Super Token Attention for Multi-modality Image Fusion. Advanced Intelligent Computing Technology and Applications, Springer, Singapore. https://doi.org/10.1007/978-981-97-5678-0_28

Daly, L., French, K., Miller, T. L., & Nic Eoin, L. (2016). Integrating Ontology into Ethnobotanical Research. Journal of Ethnobiology, 36(1), 1-9. https://doi.org/10.2993/0278-0771-36.1.1

Du, Y. (2025). From the United Nations to Taiwan: How can indigenous peoples reclaim the right to speak on AI data sovereignty?.

https://futurecity.cw.com.tw/article/3793?rec=i2i&from_id=3524&from_index=1

Eisenberg, D. M., Harris, E. S. J., Littlefield, B. A., Cao, S., Craycroft, J. A., Scholten, R., Bayliss, P., Fu, Y., Wang, W., Qiao, Y., Zhao, Z., Chen, H., Liu, Y., Kaptchuk, T., Hahn, W. C., Wang, X., Roberts, T., Shamu, C. E., & Clardy, J. (2011). Developing a library of authenticated Traditional Chinese Medicinal (TCM) plants for systematic biological evaluation — Rationale, methods and preliminary results from a Sino-American collaboration. Fitoterapia, 82(1), 17-33. https://doi.org/10.1016/j.fitote.2010.11.017

Fakhri, M., & Reynolds, K. (2017). The Bandung Conference.

Huntington, H. P. (2000). USING TRADITIONAL ECOLOGICAL KNOWLEDGE IN SCIENCE: METHODS AND APPLICATIONS. Ecological Applications, 10(5), 1270-1274. https://doi.org/10.1890/1051-0761(2000)010[1270:UTEKIS]2.0.CO;2

Jasanoff, S. (2004). States of knowledge. Taylor & Francis Abingdon, UK.

Jasanoff, S. (2005). Designs on nature: Science and democracy in Europe and the United States. princeton University press.

Lin, H. (2025). Indigenous Language Teaching and Learning: Practices in the Cou Saviki Tribal Classroom in Taiwan (Publication Number 31763553) [Ph.D., University of Washington].

ProQuest Dissertations & Theses A&I. United States -- Washington.

https://www.proquest.com/dissertations-theses/indigenous-language-teaching-learning-practices/docview/3193520509/se-2?accountid=14231

Lizarralde, G., Latorre, S., Clavijo, N., Herazo, B., Pérez, M., Gould, K., Paredes, M., Monsalve, E., Ordoñez, N., & Burdiles, R. (2025). The spaces in between: an actor network analysis of alternative food systems in Latin America and the Caribbean. Frontiers in Sustainable Food Systems, 9, 1460343.

Lovett, R., Lee, V., Kukutai, T., Cormack, D., Rainie, S. C., & Walker, J. (2019). Good data practices for Indigenous data sovereignty and governance. Good data, 1, 26-36.

Ludwig, D., & Macnaghten, P. (2020). Traditional ecological knowledge in innovation governance: a framework for responsible and just innovation. Journal of Responsible Innovation, 7(1), 26-44. https://doi.org/10.1080/23299460.2019.1676686

Radil, S. M., & Anderson, M. B. (2019). Rethinking PGIS: Participatory or (post) political GIS? Progress in Human Geography, 43(2), 195-213.

Rocchetti, G., Lucini, L., Rodriguez, J. M. L., Barba, F. J., & Giuberti, G. (2019). Gluten-free flours from cereals, pseudocereals and legumes: Phenolic fingerprints and in vitro antioxidant properties. Food Chemistry, 271, 157-164. https://doi.org/10.1016/j.foodchem.2018.07.176

Rouvroy, A., & Poullet, Y. (2009, 2009//). The Right to Informational Self-Determination and the Value of Self-Development: Reassessing the Importance of Privacy for Democracy.Reinventing Data Protection?, Dordrecht.

Russ-Smith, J., & Randell-Moon, H. (2025). AI and Indigenous Data Sovereignty: Knowing, Engaging, and Learning in New Data Contexts. Somatechnics, 15(3), 287-295. https://doi.org/10.3366/soma.2025.0467

Smith, L. C. (2005). Mediating indigenous identity: Video, advocacy, and knowledge in Oaxaca, Mexico.

Sismondo, S. (2018). Science and technology studies. In Companion to environmental studies (pp. 356-359). Routledge.

Taiwan AI Training Corpus. (2026). https://moda.gov.tw/en/digital-affairs/plural-innovation/operations/18874

Taylor, J., & Awika, J. (2017). Gluten-free ancient grains: cereals, pseudocereals, and legumes: sustainable, Nutritious, and health-promoting foods for the 21st century. Woodhead publishing.

Verplanke, J., McCall, M. K., Uberhuaga, C., Rambaldi, G., & Haklay, M. (2016). A Shared Perspective for PGIS and VGI. The Cartographic Journal, 53(4), 308-317. https://doi.org/10.1080/00087041.2016.1227552

Vieira da Silva, C., Ortigão, M., Willaert, T., Rosa, R., Nunes, L. C., & Cunha-e-Sá, M. A. (2021). Participatory Geographic Information Systems (PGIS): Alternative approaches to identify potential conflicts and positional accuracy in marine and coastal ecosystem services. Marine

Policy, 131, 104650. https://doi.org/10.1016/j.marpol.2021.104650

Zhao, X., Wang, H., Sriwarnasinghe, S. M., Tang, J., Wang, S., Sugiyama, S., & Morikawa, S. (2025, January). Enhancing Participatory Development Research in South Asia through LLM Agents System: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lankan. In R. Weerasinghe, I. Anuradha, & D. Sumanathilaka, Proceedings of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages Abu Dhabi.

Published

30.06.2026

How to Cite

KAO, M. H., CHIU, P.-C., & WANG, L. Y. . (2026). Reconstructing and Translating Indigenous Ecological Culture Under the Impact of Innovative Technologies. Journal of China-ASEAN Studies, 6(2), 28–38. retrieved from https://so07.tci-thaijo.org/index.php/JCAS/article/view/11454

Issue

Section

Articles