Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Geography and Sustainability |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683924001202 |
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| author | Andrej Ficko Simo Sarkki Yasar Selman Gultekin Antonia Egli Juha Hiedanpää |
| author_facet | Andrej Ficko Simo Sarkki Yasar Selman Gultekin Antonia Egli Juha Hiedanpää |
| author_sort | Andrej Ficko |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2192b92b39f549ac8d2d290ecb5c0075 |
| institution | Kabale University |
| issn | 2666-6839 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geography and Sustainability |
| spelling | doaj-art-2192b92b39f549ac8d2d290ecb5c00752025-01-11T06:42:05ZengElsevierGeography and Sustainability2666-68392025-02-0161100257Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regionsAndrej Ficko0Simo Sarkki1Yasar Selman Gultekin2Antonia Egli3Juha Hiedanpää4University of Ljubljana, Biotechnical Faculty, Department of Forestry and Renewable Forest Resources, Večna pot 83, 1000 Ljubljana, Slovenia; Corresponding author.Cultural Anthropology, University of Oulu, PO Box 1000, 90014, Oulu, Finland; Max Weber Centre for Advanced Cultural and Social Studies, Erfurt University, Erfurt, GermanyDüzce University, Faculty of Forestry, Forest Engineering Department, Konuralp Campus, 81620 Düzce, TurkeyIrish Institute of Digital Business, Dublin City University, Dublin, IrelandNatural Resources Institute Finland (Luke), Itainen ¨Pitkakau¨ 4 A, Turku 20520, FinlandWe 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.http://www.sciencedirect.com/science/article/pii/S2666683924001202Artificial intelligenceInnovationReflective thinkingScientific imaginationText miningText summarization |
| spellingShingle | 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 Artificial intelligence Innovation Reflective thinking Scientific imagination Text mining Text summarization |
| title | Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions |
| title_full | Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions |
| title_fullStr | Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions |
| title_full_unstemmed | Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions |
| title_short | Reflective thinking meets artificial intelligence: Synthesizing sustainability transition knowledge in left-behind mountain regions |
| title_sort | reflective thinking meets artificial intelligence synthesizing sustainability transition knowledge in left behind mountain regions |
| topic | Artificial intelligence Innovation Reflective thinking Scientific imagination Text mining Text summarization |
| url | http://www.sciencedirect.com/science/article/pii/S2666683924001202 |
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