Manuscript Topics

The swift advancements in Artificial Intelligence (AI) and data-driven mathematical modeling pose transformative potential in achieving the United Nations’ Sustainable Development Goals (SDGs). These technologies enable the design and implementation of innovative solutions to address global challenges such as poverty, health, education, clean energy, and climate action. This special issue highlights cutting-edge research at the intersection of AI, data science, and mathematical modeling, focusing on their applications in promoting sustainable development. The issue will showcase novel frameworks, methodologies, and tools that harness AI and data to optimize processes, improve decision-making, and foster sustainable practices across various domains, including healthcare, education, energy, and the environment.

This special issue invites original research articles, case studies, and comprehensive reviews that contribute to advancing AI-driven mathematical approaches for achieving SDGs. This issue aspires to bridge the gap between theoretical advancements and practical applications by bringing together interdisciplinary perspectives, and providing actionable insights to academics, policymakers, and industry leaders.

Keywords: Artificial Intelligence, Data-Driven Analytics, Mathematical Modeling, Sustainable Development Goals, Optimization Techniques, Predictive Analytics, Sustainability Science, AI for Global Challenges, Machine Learning for SDGs, Computational Methods

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