Purpose

This webinar provided a framework for free debate and exchange of ideas, best practices and knowledge in order to identify new directions to be followed for scientific, evidence-based approaches to Human Security. In addressing complex global problems such as conflict, poverty, environmental degradation, and social inequalities, the role of data in decision-making has become increasingly important.

From a methodological point of view, ensuring human security at all scales of the society consists of: preliminary evaluation of the status of the three freedoms and seven dimensions, identification and characterization of risks, definition of solutions with contingency plans by co-creation and co-design, implementation of measures and assessment of their impact.

From a scientific perspective, the process includes a broad range of methods, multiscale and multiphysics models, approaches, data collection, data processing and mining, solvers, knowledge-based, multicriteria decision-making, multipurpose digital platforms and interpretation.

Participants

Participants included international and governmental responsible bodies representing different dimensions of human security, members of parliaments, government officials, academicians, students, NGOs and experts in the field. Computational modelling, statistical analysis, network science, data visualization, and machine learning were among the topics covered. These tools enable researchers to analyse large amounts of data, identify patterns, and predict future trends to improve our understanding of human security challenges and support policy formulation.

In addition, the event explored data-driven approaches to addressing socio-economic inequalities and promoting sustainable development. Using quantitative tools, researchers can map poverty, inequality, and resource allocation patterns, facilitating the identification of marginalized populations and enabling policymakers to implement targeted interventions. These methods also help monitor progress towards the United Nations Sustainable Development Goals (SDGs) by providing accurate and timely data for evidence-based policy formulation. As we embark on this journey, it is important to acknowledge the ethical considerations and challenges associated with quantitative methods in human security research. Discussions during the event revolved around topics such as privacy, bias and the responsible use of algorithms. Experts emphasized the importance of ensuring transparency, accountability, and inclusivity in the use of quantitative tools, thereby promoting ethical practices that prioritize the well-being of individuals and communities.

The event offered a unique opportunity to engage with leading experts, gain insights into the latest advancements, and be part of the ongoing discussions shaping the future of global stability.