Challenges and opportunities in the creative productivity of scientists and the demographic composition of science
DOI:
https://doi.org/10.34069/AI/2024.75.03.30Keywords:
Gender identity in science, mentors in science, people with disabilities in science, science of science, science-sociological aspects.Abstract
The article confidently explores the broadening of the demographic contingent of science. Since the end of the twentieth century, the problems of attracting the younger generation to science, studying international cooperation of scientists and migration patterns in science have become relevant issues. Also important are the issues of the influence of interdisciplinary education on obtaining breakthrough scientific results, determining the impact of the favorable scientific environment on the productive work of a scientist, the problems of inclusiveness of the scientific environment and the expansion of racial and ethnic representation in science. It is shown that although academic mobility of scientists is globally viewed as a process of internationalization of science, which contributes to the dissemination and exchange of knowledge and ideas, and the growth of scientists' productivity. However, given that in certain contexts mobility is associated with the loss of human resources in science, it should be viewed as a complex political problem of attracting and retaining scientists. This problem is exacerbated in times of military conflicts and socio-political crises. It is emphasized that despite the usefulness of scientists using the benefits of Open Science and participating in international research projects, attention should be paid to national and regional problems that require scientific support.
Downloads
Download data is not yet available.
References
Adams, C. W. (1946). The Age at Which Scientists Do Their Best Work. Isis, 36(3/4), 166-169. https://doi.org/10.1086/347941
Austin, R. D., & Pisano, G. P. (2017). Neurodiversity as a competitive advantage. Harvard Business Review, May-June, 95(3), p. 96-103.
Cao, C., Baas, J., Wagner, C. S., & Jonkers, K. (2019). Returning scientists and the emergence of China’s science system. Science and Public Policy, 47(2), 172-183. https://doi.org/10.1093/scipol/scz056
Dobrov, G. M., & Smirnov, L. P. (1972). Forecasting as a means for scientific and technological policy control. Technological Forecasting and Social Change, 4(1), 5-18. doi: https://doi.org/10.1016/0040-1625(72)90043-1
Drymiotou, I, Constantinou, C.P., & Avraamidou, L. (2021). Enhancing students’ interest in science and understandings of STEM careers: the role of career-based scenarios. International Journal of Science Education, 43(5), 1-20, Available from: https://doi.org/10.1080/09500693.2021.1880664
Edwards, K. J., Akam, E., Ijoma, J. N., Mack, K. N., Pereira, P. M., Dhanvantari, S., ... & Henry, K. E. (2022). Visions by WIMIN: Global mentorship to retain underrepresented trainees. Molecular Imaging and Biology, 24(4), 519-525 https://doi.org/10.1007/s11307-022-01716-2
eLife. (2023, October 12). Being Neurodivergent in Academia: Why Sparks of Change is publishing stories from neurodivergent researchers. Retrieved from https://acortar.link/ynmfBH
Florida, R. (2002). The Rise of the Creative Class and How It’s Transforming Work, Leisure, Community and Everyday Life. New York: Basic Books. ISBN 9780465024766.
Kanazawa, S. (2003). Why productivity fades with age: The crime–genius connection. Journal of Research in Personality, 37(4), 257-272. https://doi.org/10.1016/s0092-6566(02)00538-x
Karmadonova, T. (2023). The long way home: Migration trends of Ukrainian researchers in the modern world (1991?2023). History of science and technology, 13(2), 263-279. https://doi.org/10.32703/10.32703/2415-7422-2023-13-2-263-279
Kuznetsova. (2020). State Statistics Service of Ukraine. Available from: https://acortar.link/LCBz35
Krauss, A., Danús, L., & Sales-Pardo, M. (2023). Early-career factors largely determine the future impact of prominent researchers: evidence across eight scientific fields. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-46050-x
Kwiek, M., & Roszka, W. (2023). Once highly productive, forever highly productive? Full professors’ research productivity from a longitudinal perspective. Higher Education, 87, 519-549. https://doi.org/10.1007/s10734-023-01022-y
Lehman, H.C. (2017). Age and Achievement. Princeton, NJ: Princeton University Press.
Li, W., Aste, T., Caccioli, F., & Livan, G. (2019). Early coauthorship with top scientists predicts success in academic careers. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-13130-4
Merton, R. (1968). Social theory and social structure. Free Press. ISBN 0-02-921130-1
Merton, R. (1984). Science, Technology and Society in Seventeenth Century England. Alianza. ISBN 842062408X, 9788420624082. Accessed: 15 Jan. 2024. (In Spanish)
MES Of Ukraine (2023). Education and science of Ukraine under martial law: challenges, development, post-war prospects. Informational and analytical collection. MES of Ukraine. DU IOI. Kyiv. 2023. Available from: https://acortar.link/eOcFIs (In Ukrainian)
OECD (2017). Science, Technology and Industry Scoreboard 2017. https://doi.org/10.1787/9789264268821-en
OECD (2018). Education at a Glance 2018. OECD. https://doi.org/10.1787/eag-2018-en
Popovych, O. S., & Kostrytsya, O. P. (2020). Aggravation of negative tendencies in the dynamics of R&D personnel in the NAS of Ukraine. Science and science, 1, 22-33. https://doi.org/10.15407/sofs2020.01.022
Pysarenko, T.V., & Kuranda, T.K. (2023). Scientific and scientific and technical activity in Ukraine in 2022: scientific analytical report. Kyiv. UkrINTEI. (In Ukrainian)
Robinson-Garcia, N., Sugimoto, C. R., Murray, D., Yegros-Yegros, A., Larivière, V., & Costas, R. (2019). The many faces of mobility: Using bibliometric data to measure the movement of scientists. Journal of Informetrics, 13(1), 50-63. https://doi.org/10.1016/j.joi.2018.11.002
Simard, J.-L., Omar, R. F., Boissinot, M., & Bergeron, M. G. (2019). “Researcher for a Day”: Creating and Shaping a New Generation of Scientific and Medical Researchers. Journal of Microbiology & Biology Education, 20(3). https://doi.org/10.1128/jmbe.v20i3.1821
Stem Women (2023). Women In STEM Statistics: Progress and Challenges - Stem Women. 30 Aug. 2023. Available from: https://www.stemwomen.com/women-in-stem-statistics-progress-and-challenges Accessed: 15 Jan. 2024.
UNESCO (2021). The race against time for smarter development. SCIENCE REPORT. Available from: https://www.unesco.org/reports/science/2021/en
Vashulenko, O, Kostritsa, O, & Popovych, O. (2019). Evolution of the dependence of publication activity of researchers from age for the last half of century. Bulletin of the National Academy of Sciences of Ukraine, 3, 79-84. https://doi.org/10.15407/visn2019.03.079
Verginer, L., & Riccaboni, M. (2021). Talent goes to global cities: The world network of scientists’ mobility. Research Policy, 50(1), 104127. https://doi.org/10.1016/j.respol.2020.104127
Vo, U. (2023). Being Neurodivergent in Academia: The meaning of self-acceptance. eLife, 12. https://doi.org/10.7554/eLife.93328
Wang, L. (2021). Science Popularisation Among the Youth. In Science Communication Practice in China (pp. 29–46). Singapore: Springer Singapore. https://doi.org/10.1007/978-981-16-3203-7_2
Yair, G., & Goldstein, K. (2020). The Annus Mirabilis paper: years of peak productivity in scientific careers. Scientometrics, 124(2), 887-902. https://doi.org/10.1007/s11192-020-03544-z
Znaniecki, F. (1940). The social role of the man of knowledge. Columbia University Press. https://doi.org/10.1037/14902-000
Zuckerman, H. (1977). Scientific elite: Nobel laureates in the United States. Free Press, New York. ISBN 9780029357606.
Austin, R. D., & Pisano, G. P. (2017). Neurodiversity as a competitive advantage. Harvard Business Review, May-June, 95(3), p. 96-103.
Cao, C., Baas, J., Wagner, C. S., & Jonkers, K. (2019). Returning scientists and the emergence of China’s science system. Science and Public Policy, 47(2), 172-183. https://doi.org/10.1093/scipol/scz056
Dobrov, G. M., & Smirnov, L. P. (1972). Forecasting as a means for scientific and technological policy control. Technological Forecasting and Social Change, 4(1), 5-18. doi: https://doi.org/10.1016/0040-1625(72)90043-1
Drymiotou, I, Constantinou, C.P., & Avraamidou, L. (2021). Enhancing students’ interest in science and understandings of STEM careers: the role of career-based scenarios. International Journal of Science Education, 43(5), 1-20, Available from: https://doi.org/10.1080/09500693.2021.1880664
Edwards, K. J., Akam, E., Ijoma, J. N., Mack, K. N., Pereira, P. M., Dhanvantari, S., ... & Henry, K. E. (2022). Visions by WIMIN: Global mentorship to retain underrepresented trainees. Molecular Imaging and Biology, 24(4), 519-525 https://doi.org/10.1007/s11307-022-01716-2
eLife. (2023, October 12). Being Neurodivergent in Academia: Why Sparks of Change is publishing stories from neurodivergent researchers. Retrieved from https://acortar.link/ynmfBH
Florida, R. (2002). The Rise of the Creative Class and How It’s Transforming Work, Leisure, Community and Everyday Life. New York: Basic Books. ISBN 9780465024766.
Kanazawa, S. (2003). Why productivity fades with age: The crime–genius connection. Journal of Research in Personality, 37(4), 257-272. https://doi.org/10.1016/s0092-6566(02)00538-x
Karmadonova, T. (2023). The long way home: Migration trends of Ukrainian researchers in the modern world (1991?2023). History of science and technology, 13(2), 263-279. https://doi.org/10.32703/10.32703/2415-7422-2023-13-2-263-279
Kuznetsova. (2020). State Statistics Service of Ukraine. Available from: https://acortar.link/LCBz35
Krauss, A., Danús, L., & Sales-Pardo, M. (2023). Early-career factors largely determine the future impact of prominent researchers: evidence across eight scientific fields. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-46050-x
Kwiek, M., & Roszka, W. (2023). Once highly productive, forever highly productive? Full professors’ research productivity from a longitudinal perspective. Higher Education, 87, 519-549. https://doi.org/10.1007/s10734-023-01022-y
Lehman, H.C. (2017). Age and Achievement. Princeton, NJ: Princeton University Press.
Li, W., Aste, T., Caccioli, F., & Livan, G. (2019). Early coauthorship with top scientists predicts success in academic careers. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-13130-4
Merton, R. (1968). Social theory and social structure. Free Press. ISBN 0-02-921130-1
Merton, R. (1984). Science, Technology and Society in Seventeenth Century England. Alianza. ISBN 842062408X, 9788420624082. Accessed: 15 Jan. 2024. (In Spanish)
MES Of Ukraine (2023). Education and science of Ukraine under martial law: challenges, development, post-war prospects. Informational and analytical collection. MES of Ukraine. DU IOI. Kyiv. 2023. Available from: https://acortar.link/eOcFIs (In Ukrainian)
OECD (2017). Science, Technology and Industry Scoreboard 2017. https://doi.org/10.1787/9789264268821-en
OECD (2018). Education at a Glance 2018. OECD. https://doi.org/10.1787/eag-2018-en
Popovych, O. S., & Kostrytsya, O. P. (2020). Aggravation of negative tendencies in the dynamics of R&D personnel in the NAS of Ukraine. Science and science, 1, 22-33. https://doi.org/10.15407/sofs2020.01.022
Pysarenko, T.V., & Kuranda, T.K. (2023). Scientific and scientific and technical activity in Ukraine in 2022: scientific analytical report. Kyiv. UkrINTEI. (In Ukrainian)
Robinson-Garcia, N., Sugimoto, C. R., Murray, D., Yegros-Yegros, A., Larivière, V., & Costas, R. (2019). The many faces of mobility: Using bibliometric data to measure the movement of scientists. Journal of Informetrics, 13(1), 50-63. https://doi.org/10.1016/j.joi.2018.11.002
Simard, J.-L., Omar, R. F., Boissinot, M., & Bergeron, M. G. (2019). “Researcher for a Day”: Creating and Shaping a New Generation of Scientific and Medical Researchers. Journal of Microbiology & Biology Education, 20(3). https://doi.org/10.1128/jmbe.v20i3.1821
Stem Women (2023). Women In STEM Statistics: Progress and Challenges - Stem Women. 30 Aug. 2023. Available from: https://www.stemwomen.com/women-in-stem-statistics-progress-and-challenges Accessed: 15 Jan. 2024.
UNESCO (2021). The race against time for smarter development. SCIENCE REPORT. Available from: https://www.unesco.org/reports/science/2021/en
Vashulenko, O, Kostritsa, O, & Popovych, O. (2019). Evolution of the dependence of publication activity of researchers from age for the last half of century. Bulletin of the National Academy of Sciences of Ukraine, 3, 79-84. https://doi.org/10.15407/visn2019.03.079
Verginer, L., & Riccaboni, M. (2021). Talent goes to global cities: The world network of scientists’ mobility. Research Policy, 50(1), 104127. https://doi.org/10.1016/j.respol.2020.104127
Vo, U. (2023). Being Neurodivergent in Academia: The meaning of self-acceptance. eLife, 12. https://doi.org/10.7554/eLife.93328
Wang, L. (2021). Science Popularisation Among the Youth. In Science Communication Practice in China (pp. 29–46). Singapore: Springer Singapore. https://doi.org/10.1007/978-981-16-3203-7_2
Yair, G., & Goldstein, K. (2020). The Annus Mirabilis paper: years of peak productivity in scientific careers. Scientometrics, 124(2), 887-902. https://doi.org/10.1007/s11192-020-03544-z
Znaniecki, F. (1940). The social role of the man of knowledge. Columbia University Press. https://doi.org/10.1037/14902-000
Zuckerman, H. (1977). Scientific elite: Nobel laureates in the United States. Free Press, New York. ISBN 9780029357606.
Published
2024-03-30
How to Cite
Shapoval, A. (2024). Challenges and opportunities in the creative productivity of scientists and the demographic composition of science. Amazonia Investiga, 13(75), 359–368. https://doi.org/10.34069/AI/2024.75.03.30
Issue
Section
Articles
.gif)
