Uncovering the SDG content of Human Security Policies through a Machine Learning web application

Aug 5, 2026

Upload by Aria

This paper introduces a machine learning (ML) approach for integrating Human Security (HS) with the Sustainable Development Goals (SDGs). HS emerged from the 1990s and emphasizes people-centric interventions to ensure welfare and resilience, closely aligning with SDG priorities. The methodology maps 44 reports to 17 SDGs using expert-annotated keywords and ML techniques, producing a web-based SDG mapping tool. The tool supports analysis of 13 new reports and their links to SDGs, yielding nuanced insights into the HS–sustainable development interplay and offering a scalable resource for researchers and policymakers.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages32

Reading Time1 h 21 min

AccessFree to download

Introduction

Human security in the context of sustainable development

Linking HS to SDGs and Agenda 2030

Methodology overview: ML-based SDG mapping tool

Conclusion

Munich Personal RePEc Archive Uncovering the SDG content of Human Security Policies through a Machine Learning web application Koundouri, Phoebe and Aslanidis, Panagiotis-Stavros and Dellis, Konstantinos and Feretzakis, Georgios and Plataniotis, Angelos 20 February 2024 Online at [https://mpra. ub. uni-muenchen. de/121972/](https://mpra. ub. uni-muenchen. de/121972/) [MPRA Paper No. 121972](MPRA Paper No. 121972) , [posted 01 Oct 2024 13:26 UTC](posted 01 Oct 2024 13:26 UTC) Uncovering the SDG content of Human Security Policies through a Machine Learning web application Phoebe Koundouri1, Panagiotis-Stavros Aslanidis2, Konstantinos Dellis3, Georgios Feretzakis4, Angelos Plataniotis5 1 School of Economics and ReSEES Research Laboratory, Athens University of Economics and Business; Department of Technology, Management and Economics, Denmark Technical University (DTU); Sustainable Development Unit, Athena Research Centre; UN SDSN (Global Climate Hub, European Hub, Greek Hub); [phoundouri@aueb.gr](phoundouri@aueb.gr) 2 Laboratory of Operations Research, Department of Economics, University of Thessaly; ReSEES Research Laboratory, Athens University of Economics and Business; Sustainable Development Unit, ATHENA Research Centre; [paslanidis@uth.gr](paslanidis@uth.gr) 3 ReSEES Research Laboratory, Athens University of Economics and Business; Sustainable Development Unit, ATHENA Research Centre; [kdellis@aueb.gr](kdellis@aueb.gr) 4 School of Science and Technology, Hellenic Open University, 26335 Patras, [Greece.](Greece. georgios.feretzakis@ac.eap.gr)[ georgios.feretzakis@ac.eap.gr](Greece. georgios.feretzakis@ac.eap.gr)[ ](Greece. georgios.feretzakis@ac.eap.gr)5 Sustainable Development Unit, ATHENA Research Centre; [angplat@athenarc.gr](angplat@athenarc.gr) Abstract This paper introduces a machine learning (ML) based approach for integrating Human Security (HS) and Sustainable Development Goals (SDGs) . Originating in the 1990s, HS focuses on strategic, people-centric interventions for ensuring comprehensive welfare and resilience. It closely aligns with the SDGs, together forming the foundation for global sustainable development initiatives. Our methodology involves mapping 44 reports to the 17 SDGs using expert-annotated keywords and advanced ML techniques, resulting in a web-based SDG mapping tool. This tool is specifically tailored for the HS-SDG nexus, enabling the analysis of 13 new reports and their connections to the SDGs. Through this, we uncover detailed insights and establish strong links between the reports and global objectives, offering a nuanced understanding of the interplay between HS and sustainable development. This research provides a scalable framework to explore the relationship between HS and the Paris Agenda, offering a practical, efficient resource for scholars and policymakers. Keywords: Artificial Intelligence in Policy Making, Data Mining, Human-Centric Governance Strategies, Human Security, Machine Learning, Sustainable Development Goals INTRODUCTION Human security (HS), integral to sustainable development (SD), faces significant challenges intoday's multi-crisis era. HS has gained renewed attention due to the COVID-19 pandemic, energy and food crises, and geopolitical conflicts, especially in Eastern Europe and the Middle East. Aligning HS with the Sustainable Development Goals (SDGs) is crucial for achieving Agenda 2030's objectives. HS and the SDGs collectively aim to enhance well-being, resilience, and sustainable development globally. Initially, the United Nations identified two core aspects of HS: freedom from fear and freedom from want, focusing on individual rather than state security (UNDP 1994) . Modern HS concerns have evolved echoing globalization, to encompass 'new wars' characterized by changing actors, goals, methods, and financing (Kaldor 2013a, 2013b) . Traditional national security measures are insufficient to address the complex human and environm

FAQs

What problem does the paper address regarding Human Security and the SDGs?

It addresses the challenge of clarifying how Human Security-related reports connect to the Sustainable Development Goals and Agenda 2030 objectives.

How does the proposed machine learning web application work?

It maps HS-related reports to SDGs by using expert-annotated keywords and advanced ML techniques, implemented as a web-based SDG mapping tool.

What inputs and outputs are used to generate SDG connections?

The method maps 44 reports to 17 SDGs to build the tool, which is then used to analyze 13 new reports and reveal their links to the SDGs.

Aug 5, 2026

Upload by Aria