Mapping The Sustainable Development Goals in Digital Twin Research: Low Code Topic Modeling and LLM-Based Evaluation Framework

Authors

DOI:

https://doi.org/10.63556/tisej.2026.1814

Keywords:

digital twin, sustainable development goals, innovation, science and technology policy, artificial intelligence

Abstract

Birleşmiş Milletler Genel Kurulu'nun 2015 yılında "Sürdürülebilir Kalkınma için 2030 Gündemi"ni kabul etmesi, 2030 yılına kadar 17 Sürdürülebilir Kalkınma Hedefine (SKH) ulaşma konusunda küresel bir taahhüt oluşturmuştur. Son tarih yaklaşırken, bilim, teknoloji ve inovasyon (BTİ), bu hedeflere doğru ilerlemeyi hızlandırmada hayati öneme sahip olarak kabul edilmektedir. Bu çalışmada; Web of Science'da (WoS) indekslenen 10.306 dijital ikiz araştırma yayının SKH'lerle olan ilişkisi analiz edilmiştir. KNIME platformu ile konu modellemesi kullanılarak, dijital ikiz literatüründeki gizli temalar belirlenmiş ve belirli SKH'lerle uyumluluk açısından değerlendirilmiştir. Her konu için alt hedef ilişkileri, yerelde Ollama uzakta ise OpenRouter aracılığıyla yeni, popüler modeller aracılığıyla yapılmıştır. Ek olarak, mezo ve mikro düzey analizler, dijital ikiz teknolojileri içindeki zamansal evrimi, tematik yoğunluğu ve araştırma odağını vurgulamaktadır. Bulgular, dijital ikiz teknolojileri ile sürdürülebilir kalkınma arasındaki kesişim noktasına dair ayrıntılı bir anlayış sunarak, gelecekteki BTİ politikalarının geliştirilmesi için stratejik bilgiler sağlamaktadır. Çalışma ayrıca, dijital ikiz araştırmalarında odaklanılması gereken temel sürdürülebilirlik alanlarını özetlemekte ve araştırmacılar için SKH odaklı bir yol haritası sunarak, teknolojik yeniliklerin sürdürülebilirlik üzerindeki etkilerini analiz etmek için kapsamlı bir çerçeve oluşturmaktadır.

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22.06.2026

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Mapping The Sustainable Development Goals in Digital Twin Research: Low Code Topic Modeling and LLM-Based Evaluation Framework. (2026). Third Sector Social Economic Review, 61(2), 2217-2257. https://doi.org/10.63556/tisej.2026.1814