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Cosmos 1.0: a multidimensional map of the emerging technology frontier

Author

Listed:
  • Xian Gong
  • Paul X. McCarthy
  • Colin Griffith
  • Claire McFarland
  • Marian-Andrei Rizoiu

Abstract

This paper describes a novel methodology to map the universe of emerging technologies, utilising various source data that contain a rich diversity and breadth of contemporary knowledge to create a new dataset and multiple indices that provide new insights into these technologies. The Cosmos 1.0 dataset is a comprehensive collection of 23,544 technologies (ET23k) structured into a hierarchical model. Each technology is categorised into three meta clusters (ET3) and seven theme clusters (ET7) enhanced by 100-dimensional embedding vectors. Within the cosmos, we manually verify 100 emerging technologies called the ET100. This dataset is enriched with additional indices specifically developed to assess the landscape of emerging technologies, including the Technology Awareness Index, Generality Index, Deeptech, and Age of Tech Index. The dataset incorporates extensive metadata sourced from Wikipedia and linked data from third-party sources such as Crunchbase, Google Books, OpenAlex and Google Scholar, which are used to validate the relevance and accuracy of the constructed indices. Moreover, we trained a classifier to identify whether they are developed "technology" or technology-related "terms".

Suggested Citation

  • Xian Gong & Paul X. McCarthy & Colin Griffith & Claire McFarland & Marian-Andrei Rizoiu, 2025. "Cosmos 1.0: a multidimensional map of the emerging technology frontier," Papers 2505.10591, arXiv.org.
  • Handle: RePEc:arx:papers:2505.10591
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    1. Vaishnav, Bharat & Ray, Sourav, 2023. "A thematic exploration of the evolution of research in multichannel marketing," Journal of Business Research, Elsevier, vol. 157(C).
    2. Luís M. A. Bettencourt & David I. Kaiser & Jasleen Kaur & Carlos Castillo-Chávez & David E. Wojick, 2008. "Population modeling of the emergence and development of scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 495-518, June.
    3. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Robert K. Abercrombie & Akaninyene W. Udoeyop & Bob G. Schlicher, 2012. "A study of scientometric methods to identify emerging technologies via modeling of milestones," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 327-342, May.
    5. Ho, Jonathan C. & Saw, Ewe-Chai & Lu, Louis Y.Y. & Liu, John S., 2014. "Technological barriers and research trends in fuel cell technologies: A citation network analysis," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 66-79.
    6. Sun, Bing & Yang, Xueting & Zhong, Shen & Tian, Shengnan & Liang, Tian, 2024. "How do technology convergence and expansibility affect information technology diffusion? Evidence from the internet of things technology in China," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    7. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    8. Clifford Bekar & Kenneth Carlaw & Richard Lipsey, 2018. "General purpose technologies in theory, application and controversy: a review," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1005-1033, December.
    9. Mostafa Mesgari & Chitu Okoli & Mohamad Mehdi & Finn Årup Nielsen & Arto Lanamäki, 2015. "“The sum of all human knowledge”: A systematic review of scholarly research on the content of Wikipedia," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 219-245, February.
    10. Kayvan Kousha & Mike Thelwall & Somayeh Rezaie, 2011. "Assessing the citation impact of books: The role of Google Books, Google Scholar, and Scopus," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2147-2164, November.
    11. Coccia, Mario, 2019. "Why do nations produce science advances and new technology?," Technology in Society, Elsevier, vol. 59(C).
    12. Eilers, Kathi & Frischkorn, Jonas & Eppinger, Elisabeth & Walter, Lothar & Moehrle, Martin G., 2019. "Patent-based semantic measurement of one-way and two-way technology convergence: The case of ultraviolet light emitting diodes (UV-LEDs)," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 341-353.
    13. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    14. Kayvan Kousha & Mike Thelwall & Somayeh Rezaie, 2011. "Assessing the citation impact of books: The role of Google Books, Google Scholar, and Scopus," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2147-2164, November.
    15. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June.
    16. Breschi, Stefano & Malerba, Franco & Orsenigo, Luigi, 2000. "Technological Regimes and Schumpeterian Patterns of Innovation," Economic Journal, Royal Economic Society, vol. 110(463), pages 388-410, April.
    17. Zhang, Yi & Porter, Alan L. & Hu, Zhengyin & Guo, Ying & Newman, Nils C., 2014. "“Term clumping” for technical intelligence: A case study on dye-sensitized solar cells," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 26-39.
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