IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v127y2022i12d10.1007_s11192-022-04299-5.html
   My bibliography  Save this article

Connecting brain and heart: artificial intelligence for sustainable development

Author

Listed:
  • Diego Chavarro

    (Colombian Society of Engineering Physics (SCIF))

  • Jaime Andrés Perez-Taborda

    (Colombian Society of Engineering Physics (SCIF)
    Universidad Nacional de Colombia Sede de La Paz)

  • Alba Ávila

    (Colombian Society of Engineering Physics (SCIF)
    Universidad de Los Andes)

Abstract

A key objective of global policies on Artificial Intelligence (AI) is to foster AI research for sustainable development (SD). In this paper, we analyze the inclusion of SD in AI research indexed by the IEEE Xplore database from 2000 to 2019. We address three critical questions: (1) To what extent is AI research addressing the sustainable development goals (SDGs)? (2) Which subject areas of AI show an emerging interest in SD? And (3) What patterns of collaboration between regions of the world are being stimulated by AI? Our scientometric analysis consists of (1) Identifying the number of AI papers that address SDGs in their titles, abstracts, and keywords. (2) Developing a composite indicator based on the number of documents produced, scientific impact, and inventive impact to distinguish areas with an emerging interest in SD; (3) Exploring co-authorship networks at three levels: region, income group, and country. The overall results show that a small share of papers is explicitly focused on SD. Our composite indicator allowed us to identify an emerging interest in SD from Ultrasonics, Ferroelectrics, and Frequency Control, Education, Consumer Electronics, Electrical Engineering, Electromagnetic Compatibility and Interference. Specifically, on AI subjects, we found emerging interests in Prediction Methods, Computation Theory, Machine Learning, Learning (artificial intelligence), and Biological Neural Networks. Inter-regional and inter-income group collaboration are limited, and network power is concentrated in a few countries. The results could be useful to improve the connection between technical knowledge, strategic planning for S&T investment, and SD policies.

Suggested Citation

  • Diego Chavarro & Jaime Andrés Perez-Taborda & Alba Ávila, 2022. "Connecting brain and heart: artificial intelligence for sustainable development," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7041-7060, December.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-022-04299-5
    DOI: 10.1007/s11192-022-04299-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04299-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-022-04299-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cassi, Lorenzo & Lahatte, Agénor & Rafols, Ismael & Sautier, Pierre & de Turckheim, Élisabeth, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," Journal of Informetrics, Elsevier, vol. 11(4), pages 1095-1113.
    2. Diego Chavarro & Ismael Ràfols & Puay Tang, 2018. "To what extent is inclusion in the Web of Science an indicator of journal ‘quality’?," Research Evaluation, Oxford University Press, vol. 27(2), pages 106-118.
    3. Yuval Noah Harari, 2017. "Reboot for the AI revolution," Nature, Nature, vol. 550(7676), pages 324-327, October.
    4. Sandra Planes-Satorra & Caroline Paunov, 2019. "The digital innovation policy landscape in 2019," OECD Science, Technology and Industry Policy Papers 71, OECD Publishing.
    5. Chavarro, Diego & Tang, Puay & Ràfols, Ismael, 2017. "Why researchers publish in non-mainstream journals: Training, knowledge bridging, and gap filling," Research Policy, Elsevier, vol. 46(9), pages 1666-1680.
    6. Zellmer-Bruhn, Mary E. & Forbes, Daniel P. & Sapienza, Harry J. & Borchert, Patricia S., 2021. "Lab, Gig or Enterprise? How scientist-inventors form nascent startup teams," Journal of Business Venturing, Elsevier, vol. 36(1).
    7. Chavarro, Diego & Taborda, Jaime Andres Perez & Ávila, Alba, 2021. "Connecting brain and heart: artificial intelligence for sustainable development," SocArXiv gj5kr, Center for Open Science.
    8. Izumi Yamashita & Akiyoshi Murakami & Stephanie Cairns & Fernando Galindo-Rueda, 2021. "Measuring the AI content of government-funded R&D projects: A proof of concept for the OECD Fundstat initiative," OECD Science, Technology and Industry Working Papers 2021/09, OECD Publishing.
    9. Richard Klavans & Kevin W Boyack & Dewey A Murdick, 2020. "A novel approach to predicting exceptional growth in research," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-24, September.
    10. Stefano Breschi & Francesco Lissoni & Fabio Montobbio, 2005. "From Publishing to Patenting : do Productive Scientists Turn into Academi Inventors ?," Revue d'Économie Industrielle, Programme National Persée, vol. 110(1), pages 75-102.
    11. Jannick SØRENSEN & Reza TADAYONI & Anders HENTEN, 2016. "5G – Boundary Object or Battlefield?," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(102), pages 63-87, 2nd quart.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chavarro, Diego & Taborda, Jaime Andres Perez & Ávila, Alba, 2021. "Connecting brain and heart: artificial intelligence for sustainable development," SocArXiv gj5kr, Center for Open Science.
    2. Confraria, Hugo & Wang, Lili, 2020. "Medical research versus disease burden in Africa," Research Policy, Elsevier, vol. 49(3).
    3. Bryce, Cormac & Dowling, Michael & Lucey, Brian, 2020. "The journal quality perception gap," Research Policy, Elsevier, vol. 49(5).
    4. Cornelia Lawson, 2013. "Academic Inventions Outside the University: Investigating Patent Ownership in the UK," Industry and Innovation, Taylor & Francis Journals, vol. 20(5), pages 385-398, July.
    5. Ciarli, Tommaso & Ràfols, Ismael, 2019. "The relation between research priorities and societal demands: The case of rice," Research Policy, Elsevier, vol. 48(4), pages 949-967.
    6. Simone Carmine & Valentina De Marchi, 2023. "Reviewing Paradox Theory in Corporate Sustainability Toward a Systems Perspective," Journal of Business Ethics, Springer, vol. 184(1), pages 139-158, April.
    7. Nicolas Carayol, 2006. "La production de brevets par les chercheurs et enseignants-chercheurs.. Le cas de l'université Louis Pasteur," Economie & Prévision, La Documentation Française, vol. 0(4), pages 117-134.
    8. Edoardo Ferrucci & Francesco Lissoni & Ernest Miguelez, 2020. "Coming from afar and picking a man’s job:Women immigrant inventors in the United States," Working Papers hal-03098102, HAL.
    9. Eliseo Reategui & Alause Pires & Michel Carniato & Sergio Roberto Kieling Franco, 2020. "Evaluation of Brazilian research output in education: confronting international and national contexts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 427-444, October.
    10. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    11. Huang, Cui & Yang, Chao & Su, Jun, 2021. "Identifying core policy instruments based on structural holes: A case study of China’s nuclear energy policy," Journal of Informetrics, Elsevier, vol. 15(2).
    12. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    13. Zhenhua Chen & Laurie A. Schintler, 2023. "Rediscovering regional science: Positioning the field's evolving location in science and society," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 617-642, June.
    14. Khomeshwaree Mootoosamy & Vahid Aryadoust, 2024. "Transitioning from Communicative Competence to Multimodal and Intercultural Competencies: A Systematic Review," Societies, MDPI, vol. 14(7), pages 1-26, July.
    15. Elena Veretennik & Maria Yudkevich, 2023. "Inconsistent quality signals: evidence from the regional journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3675-3701, June.
    16. Francesco Lissoni, 2013. "Intellectual property and university–industry technology transfer," Chapters, in: Faïz Gallouj & Luis Rubalcaba & Paul Windrum (ed.), Public–Private Innovation Networks in Services, chapter 7, pages 164-194, Edward Elgar Publishing.
    17. Foray, Dominique & Lissoni, Francesco, 2010. "University Research and Public–Private Interaction," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 275-314, Elsevier.
    18. Farhat Chowdhury & Albert N. Link & Martijn Hasselt, 2022. "Public support for research in artificial intelligence: a descriptive study of U.S. Department of Defense SBIR Projects," The Journal of Technology Transfer, Springer, vol. 47(3), pages 762-774, June.
    19. Dmitry Gladyrev, 2023. "Factors Affecting R&D Share in University Revenues: Case of Russia," JRFM, MDPI, vol. 16(2), pages 1-9, January.
    20. Alba Viana-Lora & Marta Gemma Nel-lo-Andreu, 2022. "Bibliometric analysis of trends in COVID-19 and tourism," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-022-04299-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.