The Meta-Metaverse: Ideation and Future Directions

Mohammad (Behdad) Jamshidi (), Arash Dehghaniyan Serej, Alireza Jamshidi and Omid Moztarzadeh
Additional contact information
Mohammad (Behdad) Jamshidi: The International Association of Engineers, 37-39 Hung To Road, Hong Kong, China
Arash Dehghaniyan Serej: Department of Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin 3471993116, Iran
Alireza Jamshidi: Dentistry School, Babol University of Medical Sciences, Babol 4717647745, Iran
Omid Moztarzadeh: Department of Stomatology, University Hospital Pilsen, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic

Future Internet, 2023, vol. 15, issue 8, 1-31

Abstract: In the era of digitalization and artificial intelligence (AI), the utilization of Metaverse technology has become increasingly crucial. As the world becomes more digitized, there is a pressing need to effectively transfer real-world assets into the digital realm and establish meaningful relationships between them. However, existing approaches have shown significant limitations in achieving this goal comprehensively. To address this, this research introduces an innovative methodology called the Meta-Metaverse, which aims to enhance the immersive experience and create realistic digital twins across various domains such as biology, genetics, economy, medicine, environment, gaming, digital twins, Internet of Things, artificial intelligence, machine learning, psychology, supply chain, social networking, smart manufacturing, and politics. The multi-layered structure of Metaverse platforms and digital twins allows for greater flexibility and scalability, offering valuable insights into the potential impact of advancing science, technology, and the internet. This article presents a detailed description of the proposed methodology and its applications, highlighting its potential to transform scientific research and inspire groundbreaking ideas in science, medicine, and technology.

Keywords: meta-metaverse; sustainability; biology; genetics; economy; medicine; environment; gaming; digital twins; Internet of Things; artificial intelligence; machine learning; psychology; supply chain; social networking; smart manufacturing; politics (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/8/252/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/8/252/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2023:i:8:p:252-:d:1204220

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().