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Do SDGs Support Human Security? A Machine Learning Analysis with Policy Recommendations

Author

Listed:
  • Phoebe Koundouri
  • Kostas Dellis
  • Monika Mavragani
  • Angelos Plataniotis
  • Georgios Feretzakis

Abstract

Human Security (HS) emphasizes safeguarding individuals from pervasive threats-ranging from poverty and health crises to environmental degradation and governance failures-by placing people's rights, needs, and dignity at the center of security and development discourse. The Sustainable Development Goals (SDGs), serving as a global compass for equitable and sustainable progress, inherently support the well-being and resilience of people worldwide. Yet the explicit linkages between these two frameworks are not always clear. This chapter introduces a machine learning (ML) approach to systematically map how HS-related policy documents and reports align with the SDGs. Using advanced language-model embeddings and similarity scoring, our methodology identifies the extent to which each policy text addresses defined HS Aspects and their Material Issues. This allows us to move beyond simple keyword spotting toward capturing nuanced thematic alignment. The resulting scores highlight overlooked connections or synergies, enabling policymakers to see where further integration can enhance outcomes. Our mapping exercise revealed that Economic and Food Security achieved the highest similarity scores, indicating robust policy alignment. Conversely, Technological Security received lower scores, highlighting a gap in addressing digital and innovation challenges within current frameworks and the necessity for integrated policy solutions. By identifying thematic synergies and gaps, we provide policymakers with concrete insights delineate policies that simultaneously enhance SDG outcomes and strengthen HS dimensions. Our results underscore the deep interconnection between HS and the SDGs, advancing our understanding of their mutual supportiveness. This study not only fills a critical gap in research by offering a pragmatic tool for assessing document alignment with the SDGs but also proposes an inclusive framework for policymakers and scholars. This framework encourages the integration of human-centered approaches with sustainable development goals. In doing so, it highlights the essential role of cutting-edge methodologies in navigating the complexities of global security and sustainability.

Suggested Citation

  • Phoebe Koundouri & Kostas Dellis & Monika Mavragani & Angelos Plataniotis & Georgios Feretzakis, 2025. "Do SDGs Support Human Security? A Machine Learning Analysis with Policy Recommendations," DEOS Working Papers 2538, Athens University of Economics and Business.
  • Handle: RePEc:aue:wpaper:2538
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    References listed on IDEAS

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    1. Phoebe Koundouri & Angelos Alamanos & Angelos Plataniotis & Charalampos Stavridis & Konstantinos Perifanos & Stathis Devves, 2024. "Assessing the sustainability of the European Green Deal and its interlinkages with the SDGs," DEOS Working Papers 2405, Athens University of Economics and Business.
    2. Malvina Bondy & Sefi Roth & Lutz Sager, 2020. "Crime Is in the Air: The Contemporaneous Relationship between Air Pollution and Crime," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(3), pages 555-585.
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