Reflective thinking meets artificial intelligence:Synthesizing sustainability transition knowledge in left-behind mountain regions  

作　　者：Andrej Ficko Simo Sarkki Yasar Selman Gultekin Antonia Egli Juha Hiedanpää 

机构地区：[1]University of Ljubljana,Biotechnical Faculty,Department of Forestry and Renewable Forest Resources,Večna pot 83,1000 Ljubljana,Slovenia [2]Cultural Anthropology,University of Oulu,PO Box 1000,90014,Oulu,Finland [3]Max Weber Centre for Advanced Cultural and Social Studies,Erfurt University,Erfurt,Germany [4]Düzce University,Faculty of Forestry,Forest Engineering Department,Konuralp Campus,81620 Düzce,Turkey [5]Irish Institute of Digital Business,Dublin City University,Dublin,Ireland [6]Natural Resources Institute Finland(Luke),Itainen¨Pitkakau¨4 A,Turku 20520,Finland

出　　处：《Geography and Sustainability》2025年第1期159-169,共11页地理学与可持续性(英文)

基　　金：work conducted under COST Action CA21125-a European forum for revitalisation of marginalised moun-tain areas(MARGISTAR);supported by COST(European Cooperation in Science and Technology);gratefully acknowledges the support received for the research from the University of Ljubljana’s research program Forest,forestry and renewable forest resources(P4-0059).

摘　　要：We demonstrate a multi-method approach towards discovering and structuring sustainability transition knowl edge 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 tran sition knowledge and fragmented data corpora,while also advancing AI applications for designing and planning sustainable development policies at the regional level.

关 键 词：Artificial intelligence INNOVATION Reflective thinking Scientific imagination Text mining Text summarization 

分 类 号：H31[语言文字—英语]