University of Mumbai, Mumbai, India.
*Corresponding author. Email: nitinrane33@gmail.com (N.L.R.)
Manuscript submitted January 5, 2024; accepted January 23, 2024; published January 26, 2024
Abstract—The Metaverse, an immersive virtual reality realm where users engage with computer-generated environments, is swiftly emerging as a transformative platform poised to address and propel Sustainable Development Goals (SDGs). This research delves into the intersections between the Metaverse and SDGs, shedding light on how this cutting-edge technology can be harnessed to propel sustainable development across diverse sectors. Commencing with a comprehensive overview, the paper details the evolution, key components, and immersive capabilities of the Metaverse. Underscoring its dynamic and interactive essence, the research emphasizes the potential of the Metaverse to revolutionize conventional approaches to education, healthcare, environmental conservation, and economic empowerment. The immersive nature of the Metaverse facilitates experiential learning, enhancing education accessibility, and fostering global collaboration to fulfill SDG 4 (Quality Education). Additionally, the paper explores how the Metaverse can contribute to healthcare solutions through virtual medical consultations, training healthcare professionals, and simulating medical scenarios. Environmental sustainability takes center stage as the Metaverse serves as a platform for raising awareness about climate change, promoting sustainable practices, and simulating eco-friendly solutions. This aligns with SDG 13 (Climate Action) and SDG 15 (Life on Land), emphasizing the Metaverse's capacity to inspire real-world environmental stewardship.
keywords—Metaverse, sustainable development goals, SDGs, sustainable development, virtual reality, sustainability, blockchain, augmented reality
Cite: Nitin Liladhar Rane, Saurabh P. Choudhary, Jayesh Rane, "Metaverse as a Cutting-Edge Platform for Attaining Sustainable Development Goals (SDGs)," Journal of Advances in Artificial Intelligence vol. 2, no. 1, pp. 27-46, 2024.
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Copyright © 2023-2025. Journal of Advances in Artificial Intelligence. All rights reserved.
E-mail: editor@jaai.net