Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions
Ficko, Andrej; Sarkki, Simo; Gultekin, Yasar Selman; Egli, Antonia; Hiedanpää, Juha (2024-12-15)
Elsevier
15.12.2024
Andrej Ficko, Simo Sarkki, Yasar Selman Gultekin, Antonia Egli, Juha Hiedanpää, Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions, Geography and Sustainability, Volume 6, Issue 1, 2025, 100257, ISSN 2666-6839, https://doi.org/10.1016/j.geosus.2024.100257
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024 The Authors. Published by Elsevier B.V. and Beijing Normal University Press (Group) Co., LTD. on behalf of Beijing Normal University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024 The Authors. Published by Elsevier B.V. and Beijing Normal University Press (Group) Co., LTD. on behalf of Beijing Normal University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
https://creativecommons.org/licenses/by-nc-nd/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202501101116
https://urn.fi/URN:NBN:fi:oulu-202501101116
Tiivistelmä
Abstract
We demonstrate a multi-method approach towards discovering and structuring sustainability transition knowledge in marginalized mountain regions. By employing reflective thinking, artificial intelligence (AI)-powered text summarization and text mining, we synthesize experts’ narratives on sustainable development challenges and solutions in Kardüz Upland, Türkiye. We then analyze their alignment with the UN Sustainable Development Goals (SDGs) using document embedding. Investment in infrastructure, education, and resilient socio-ecological systems emerged as priority sectors to combat poor infrastructure, geographic isolation, climate change, poverty, depopulation, unemployment, low education levels, and inadequate social services. The narratives were closest in substance to SDG 1, 3, and 11. Social dimensions of sustainability were more pronounced than environmental dimensions. The presented approach supports policymakers in organizing loosely structured sustainability transition knowledge and fragmented data corpora, while also advancing AI applications for designing and planning sustainable development policies at the regional level.
We demonstrate a multi-method approach towards discovering and structuring sustainability transition knowledge in marginalized mountain regions. By employing reflective thinking, artificial intelligence (AI)-powered text summarization and text mining, we synthesize experts’ narratives on sustainable development challenges and solutions in Kardüz Upland, Türkiye. We then analyze their alignment with the UN Sustainable Development Goals (SDGs) using document embedding. Investment in infrastructure, education, and resilient socio-ecological systems emerged as priority sectors to combat poor infrastructure, geographic isolation, climate change, poverty, depopulation, unemployment, low education levels, and inadequate social services. The narratives were closest in substance to SDG 1, 3, and 11. Social dimensions of sustainability were more pronounced than environmental dimensions. The presented approach supports policymakers in organizing loosely structured sustainability transition knowledge and fragmented data corpora, while also advancing AI applications for designing and planning sustainable development policies at the regional level.
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