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Artificial Intelligence and Machine Learning in Governmental Artisanal Mining: Current Status, Development, and Future Directions

Year 2023, Volume: 33, 76 - 95, 30.12.2023
https://doi.org/10.55549/epess.1413318

Abstract

The COVID-19 pandemic is not an obstacle research and development implementation, one of which uses secondary data and bibliometric methods. Studies on mining regulation are generally about formal mining in the form of corporations, while artisanal mining is considered illegal, criminal, and its operation is prohibited because it inhibits the growth rate of a country’s socio-economic development. This study aims to analyse previous studies on governmental artisanal mining published in the Scopus database and data processing using VOSviewer software. The findings show that there are 287 documents on governmental artisanal mining published from 1987 to 2023. United Kingdom, Canada, and United States occupy most countries of publication as the place of author affiliation. Meanwhile, the author who produced the largest number of publications and is cited mostly was Galvin Hilson. The top ten publications based on the number of citations were obtained by the majority of journals ranked in Quartile 1 with the top rankings being Resource Policy Journal, Journal Cleaner Production, and Science of the Total Environment Journal. The dominant keywords used by authors were “artisanal and small-scale mining”, “formalization”, “illegal mining”, “Ghana”, and “gold”. The data revealed that there are still limited studies discussing the link between the governmentality of artisanal mining and local politics, other mining, and identity, as well as its relationship with the COVID-19 pandemic. Future studies can further develop the case of governmental artisanal mining from a social critical perspective and in comparison with other types of mining across countries.

References

  • Achina-Obeng, R., & Aram, S. A. (2022). Informal artisanal and small-scale gold mining (ASGM) in Ghana: Assessing environmental impacts, reasons for engagement, and mitigation strategies. Resources Policy, 78, 102907.
  • Aleixandre-Tudó, J. L., Castelló-Cogollos, L., Aleixandre, J. L., & Aleixandre-Benavent, R. (2018). Bibliometric and social network analysis in scientific research on precision agriculture. Current Science, 115(9), 1653–1667.
  • Andrews, N. (2015). Digging for survival and/or justice? The drivers of illegal mining activities in Western Ghana. Africa Today, 62(2), 3–24.
There are 3 citations in total.

Details

Primary Language English
Subjects Other Fields of Education (Other)
Journal Section Articles
Authors

Vieronica V. Sununıantı This is me

Heru Nugroho This is me

Early Pub Date January 2, 2024
Publication Date December 30, 2023
Published in Issue Year 2023 Volume: 33

Cite

APA Sununıantı, V. V., & Nugroho, H. (2023). Artificial Intelligence and Machine Learning in Governmental Artisanal Mining: Current Status, Development, and Future Directions. The Eurasia Proceedings of Educational and Social Sciences, 33, 76-95. https://doi.org/10.55549/epess.1413318