Skip to main content

The Cybernetic Revolution, COVID-19 and the E-state

  • Chapter
  • First Online:
Cybernetic Revolution and Global Aging

Abstract

Grinin et al. show the impact of the pandemic on the course and the pace of the Cybernetic Revolution and make forecasts about very large changes not only in technology, but also in the socio-political sphere. Anti-COVID measures have had a number of side negative effects, which Grinin et al. discuss in detail. However, the growth of the role of medicine due to COVID strongly confirms Grinin et al.’s ideas of the integrating role of medical technologies in the MANBRIC-convergence and has made significantly clearer the mechanisms that can provide such a breakthrough in medicine and related technologies. COVID-19 has become a powerful impetus in further changing socio-administrative relations. The authors pay great attention to the role of a special type of self-managing systems, by means of which it is possible to regulate our behavior without human participation just by means of AI. The authors are talking about socio-technical self-managing systems (SSSs). SSSs with the help of AI will regulate various social and administrative relations (i.e., control, verification, security, checking, identification, issue of documents, etc.). Grinin et al. forecast that the development of SSSs pushes society towards the formation of an electronic state (e-state) with its positive and strongly negative sides.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    E.g., Atkeson, 2020; Baker et al., 2020; Bortoló et al., 2023; Cruz-Cárdenas et al., 2021; Chumakov & Yurchenko, 2021; Damaševičius & Zailskaitė-Jakštė 2023; Efremov & Arkhangelsky, 2023; Fabris 2022; Grinin, 2020; Grinin et al., 2022; Grix et al., 2021; Hantrais et al., 2021; Hussain, 2021; Irshad 2020; Jackson et al., 2022; Jasiński and Bąkowska 2020; Kakkar, 2021; Kumar et al., 2021a, 2021b; Mahagamage & Marasinghe 2023; McKeown et al. 2022; Sarfraz et al., 2021; Seifabadi & Dolatabadi, 2022; Walby 2022; Widdowson, 2021;Wood 2022; Xie et al., 2022; Zimmerling & Chen, 2021; see also further references below.

  2. 2.

    One of the exception is Schwab and Malleret 2020, though, of course, their point of view is a very controversial.

  3. 3.

    Let us recollect that MANBRIC is an acronym for a complex of technologies: Medical–Additive–Nano–Bio–Robotics–Information and Cognitive technologies.

  4. 4.

    Grinin et al. 2017a, 2017b, 2020, 2021a, 2021b; see also Grinin and Grinin, 2015; 2016; Grinin and Korotayev 2015; Grinin et al. 2016; Goldstone 2015; Goldstone et al., 2015.

  5. 5.

    It is worth bearing in mind that before the COVID-19 more than a hundred different vaccines were already being developed by dozens of companies in the world (Corey et al., 2020; Jeyanathan et al., 2020; Remmel 2021).

  6. 6.

    The term alienation is borrowed from terminology of Karl Marx (see about types of alienation in Chap. 7).

References

  • Abi Younes, G., Ayoubi, C., Ballester, O., Cristelli, G., de Rassenfosse, G., Foray, D., et al. (2020). COVID-19: Insights from innovation economists. Science and Public Policy, 47(5), 733–745. https://doi.org/10.1093/scipol/scaa028

    Article  Google Scholar 

  • ACLED [= Armed Conflict Location & Event Data Project]. (2020). COVID-19 and Political Unrest in Northeast India. ACLED. https://www.jstor.org/stable/resrep26621?seq=1#metadata_info_tab_contents

  • Agarwal, R., & Gaule, P. (2022). What drives innovation? Lessons from COVID-19 R&D. Journal of Health Economics, 82, 102591.

    Article  Google Scholar 

  • Agrawal, S., Makuch, S., Dróżdż, M., Strzelec, B., Sobieszczańska, M., & Mazur, G. (2021). The impact of the COVID-19 emergency on life activities and delivery of healthcare services in the elderly population. Journal of Clinical Medicine, 10(18), 4089.

    Article  Google Scholar 

  • Alharbi, F. S. (2020). Dealing with data breaches amidst changes in technology. International Journal of Computer Science and Security (IJCSS), 14(3), 108–114.

    Google Scholar 

  • Amankwah-Amoah, J., Khan, Z., Wood, G., & Knight, G. (2021). COVID-19 and digitalization: The great acceleration. Journal of Business Research, 136, 602–611.

    Article  Google Scholar 

  • Anderson, J., Bergamini, E., Brekelmans, S., Cameron, A., Darvas, Z., Jíménez, M. D., & Midões, C. (2020). The fiscal response to the economic fallout from the coronavirus. Bruegel datasets.

    Google Scholar 

  • Ashman, H., Brailsford, T., Cristea, A. I., Sheng, Q. Z., Stewart, C., Toms, E. G., & Wade, V. (2014). The ethical and social implications of personalization technologies for e-learning. Information & Management, 51(6), 819–832. https://doi.org/10.1016/j.im.2014.04.003

    Article  Google Scholar 

  • Aslam, F., Aziz, S., Nguyen, D. K., Mughal, K. S., & Khan, M. (2020). On the efficiency of foreign exchange markets in times of the COVID-19 pandemic. Technological Forecasting and Social Change, 161, 120261. https://doi.org/10.1016/j.techfore.2020.120261

    Article  Google Scholar 

  • Atkeson, A. (2020). What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios (No. w26867) (p. w26867). National Bureau of Economic Research. https://doi.org/10.3386/w26867

  • Baker, S. R., Bloom, N., Davis, S. J., & Terry, S. J. (2020). Covid-induced economic uncertainty. National Bureau of Economic Research. https://www.nber.org/papers/w26983

  • Barnes, R. (2021). Microsoft, oracle and other tech giants team up on Covid-19 vaccine “passports”—Tech Compsmag. News—Tech News, Latest News, Business News and world News. Retrieved February 3, 2021, from https://www.compsmag.com/news/technology/microsoft-oracle-and-other-tech-giants-team-up-on-covid-19-vaccine-passports/

  • Basu, S., Phillips, R. S., Phillips, R., Peterson, L. E., & Landon, B. E. (2020). Primary care practice finances in the United States Amid the COVID-19 pandemic: Study estimates the potential impact of COVID-19 on operating expenses and revenues of primary care practices. Health Affairs, 39(9), 1605–1614. https://doi.org/10.1377/hlthaff.2020.00794

    Article  Google Scholar 

  • Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2020). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163, 2–19. https://doi.org/10.1016/j.techfore.2020.120447

    Article  Google Scholar 

  • Bhat, S. A., Bashir, O., Bilal, M., Ishaq, A., Dar, M. U. D., Kumar, R., & Sher, F. (2021). Impact of COVID-related lockdowns on environmental and climate change scenarios. Environmental Research, 195, 110839.

    Article  Google Scholar 

  • Bortoló, G. M., Valdés, J. Á., & Nicolas-Sans, R. (2023). Sustainable, technological, and innovative challenges post Covid-19 in health, economy, and education sectors. Technological Forecasting and Social Change, 122424.

    Google Scholar 

  • Brammer, S., Branicki, L., & Linnenluecke, M. (2020). COVID-19, societalization and the future of business in society. Science of the Total Environment, 34(4), 2–7. https://doi.org/10.5465/amp.2019.0053

    Article  Google Scholar 

  • Brem, A., Viardot, E., & Nylund, P. A. (2021). Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives? Technological Forecasting and Social Change, 163, 120451. https://doi.org/10.1016/j.techfore.2020.120451

    Article  Google Scholar 

  • Brennan, E. (2020). Coronavirus and protest: How Covid-19 has changed the face of American activism. United States Studies Centre. https://www.ussc.edu.au/analysis/coronavirus-protest-how-covid-19-has-changed-the-face-of-american-activism.

  • Brüssow, H. (2022). MRNA vaccines against COVID-19: A showcase for the importance of microbial biotechnology. Microbial Biotechnology, 15(1), 135–148.

    Article  Google Scholar 

  • Burki, T. (2023). Moving away from zero COVID in China. The Lancet Respiratory Medicine, 11(2), 132.

    Article  Google Scholar 

  • Carothers, T., & Press, B. (2020). The global rise of anti-lockdown protests—and what to do about it. World Politics Review, Benjamin Press. Retrieved November 6, 2020, from https://www.worldpoliticsreview.com/articles/29137/amid-the-covid-19-pandemic-protest-movements-challenge-lockdowns-worldwide.

  • Cecere, G., Le Guel, F., & Soulié, N. (2015). Perceived Internet privacy concerns on social networks in Europe. Technological Forecasting and Social Change, 96, 277–287. https://doi.org/10.1016/j.techfore.2015.01.021

    Article  Google Scholar 

  • Chakraborty, I., & Maity, P. (2020). COVID-19 outbreak: Migration, effects on society, global environment and prevention. Science of the Total Environment, 728, 2–7. https://doi.org/10.1016/j.scitotenv.2020.138882

    Article  Google Scholar 

  • Chauhan, G., Madou, M. J., Kalra, S., Chopra, V., Ghosh, D., & Martinez-Chapa, S. O. (2020). Nanotechnology for COVID-19: Therapeutics and vaccine research. ACS Nano, 14(7), 7760–7782. https://doi.org/10.1021/acsnano.0c04006

    Article  Google Scholar 

  • Chin, J., & Wong, G. (2016). China’s new tool for social control: A credit rating for everything. The Wall Street Journal, 28. https://www.wsj.com/articles/chinas-new-tool-for-social-control-a-credit-rating-for-everything-1480351590.

  • Choi, Y., Kim, H. J., & Lee, Y. (2022). Economic consequences of the COVID-19 pandemic: Will it be a barrier to achieving sustainability? Sustainability, 14(3), 1629.

    Article  Google Scholar 

  • Choong, Y. Y. C., Tan, H. W., Patel, D. C., Choong, W. T. N., Chen, C.-H., Low, H. Y., et al. (2020). The global rise of 3D printing during the COVID-19 pandemic. Nature Reviews Materials, 5(9), 637–639. https://doi.org/10.1038/s41578-020-00234-3

    Article  Google Scholar 

  • Chumakov, A. N., & Yurchenko, P. S. (2021). Global pandemic in terms of objective causes and subjective speculations. Journal of Globalization Studies, 12(2), 157–168.

    Article  Google Scholar 

  • Chung, Y. H., Beiss, V., Fiering, S. N., & Steinmetz, N. F. (2020). COVID-19 vaccine frontrunners and their nanotechnology design. ACS Nano, 14(10), 12522–12537. https://doi.org/10.1021/acsnano.0c07197

    Article  Google Scholar 

  • Corey, L., Mascola, J. R., Fauci, A. S., & Collins, F. S. (2020). A strategic approach to COVID-19 vaccine R&D. Science, 368(6494), 948–950. https://doi.org/10.1126/science.abc5312

    Article  Google Scholar 

  • Court, E. L., Lennon, N. A., Zarka, A., Pryor, M., Lawrence, S., & Alexander, R. J. (2021). COVID as a driver of innovation: getting the right patient to the right place at the right time. A novel registrar-led approach to minimising unnecessary footfall in the surgical assessment unit of a district general hospital. British Journal of Surgery108(Supplement_7), znab361–177.

    Google Scholar 

  • Creemers, R. (2018). China’s social credit system: An evolving practice of control (SSRN Scholarly Paper No. ID 3175792). Social Science Research Network. https://doi.org/10.2139/ssrn.3175792.

  • Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., Palacio-Fierro, A., & Ramos-Galarza, C. (2021). COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis. Technological Forecasting and Social Change, 173, 121179.

    Article  Google Scholar 

  • Dadras, O., SeyedAlinaghi, S., Karimi, A., Shamsabadi, A., Qaderi, K., Ramezani, M., & Voltarelli, F. A. (2022). COVID-19 mortality and its predictors in the elderly: A systematic review. Health Science Reports, 5(3), e657.

    Article  Google Scholar 

  • Damaševičius, R., & Zailskaitė-Jakštė, L. (2023). Impact of COVID-19 pandemic on researcher collaboration in business and economics areas on national level: A scientometric analysis. Journal of Documentation, 79(1), 183–202.

    Article  Google Scholar 

  • Delardas, O., Kechagias, K. S., Pontikos, P. N., & Giannos, P. (2022). Socio-economic impacts and challenges of the coronavirus pandemic (COVID-19): An updated review. Sustainability, 14(15), 9699.

    Article  Google Scholar 

  • Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018

    Article  Google Scholar 

  • Efremov, I., & Arkhangelsky, V. (2023). Global fertility changes in the context of the COVID-19 pandemic. Journal of Globalization Studies, 14(2), 165–170.

    Article  Google Scholar 

  • Ehnts, D., & Paetz, M. (2021). COVID-19 and its economic consequences for the Euro Area. Eurasian Economic Review, 11, 227–249.

    Article  Google Scholar 

  • Estrada, R., & Arturo, M. (2020). The uses of drones in case of massive epidemics contagious diseases relief humanitarian aid: Wuhan-COVID-19 crisis (SSRN Scholarly Paper No. ID 3546547). Social Science Research Network. https://doi.org/10.2139/ssrn.3546547.

  • Fabris, N. (2022). Impact of COVID-19 pandemic on financial innovation, cashless society, and cyber risk. Economics, 10(1), 73–86.

    Article  Google Scholar 

  • Fisher, D., & Wilder-Smith, A. (2020). The global community needs to swiftly ramp up the response to contain COVID-19. The Lancet, 395(10230), 1109–1110. https://doi.org/10.1016/S0140-6736(20)30679-6

    Article  Google Scholar 

  • Forster, P. M., Forster, H. I., Evans, M. J., Gidden, M. J., Jones, C. D., Keller, C. A., et al. (2020). Current and future global climate impacts resulting from COVID-19. Nature Climate Change, 10(10), 913–919. https://doi.org/10.1038/s41558-020-0883-0

    Article  Google Scholar 

  • Fraser, S., Lagacé, M., Bongué, B., Ndeye, N., Guyot, J., Bechard, L., et al. (2020). Ageism and COVID-19: What does our society’s response say about us? Age and Aging, 49(5), 692–695. https://doi.org/10.1093/aging/afaa097

    Article  Google Scholar 

  • Gerbaudo, P. (2020). The pandemic crowd. Journal of International Affairs, 73(2), 61–76.

    Google Scholar 

  • Gerstenfeld, M. (2020). How coronavirus emergency measures threaten civil rights (pp. 68–71). Begin-Sadat Center for Strategic Studies. Retrieved January 20, 2021, from https://www.jstor.org/stable/resrep26356.18

  • Glyptis, L., Christofi, M., Vrontis, D., Giudice, M. D., Dimitriou, S., & Michael, P. (2020). E-Government implementation challenges in small countries: The project manager’s perspective. Technological Forecasting and Social Change, 152, 2–11. https://doi.org/10.1016/j.techfore.2019.119880

    Article  Google Scholar 

  • Goldstone, J. (2015). Population aging and global economic growth. In J. Goldstone, L. Grinin, & A. Korotayev (Eds.), History & mathematics: demography & aging (pp. 147–155). Uchitel.

    Google Scholar 

  • Goldstone, J., Grinin, L., & Korotayev, A. (2015). Research into global aging and its consequences. In J. Goldstone, L. Grinin, & A. Korotayev (Eds.), History & mathematics: Political demography & global aging (pp. 5–9). Uchitel.

    Google Scholar 

  • Grinin, L. (2020). How can COVID-19 change geopolitics and economy? Journal of Globalization Studies, 11(2), 119–132.

    Article  Google Scholar 

  • Grinin, A., & Grinin, L. (2015). The cybernetic revolution and historical process. Social Evolution and History, 14(1), 125–184.

    Google Scholar 

  • Grinin, L., & Korotayev, A. (2015). Great divergence and great convergence a global perspective. Springer.

    Book  Google Scholar 

  • Grinin, L., Grinin, A., & Korotayev, A. (2017a). Forthcoming Kondratieff wave, cybernetic revolution, and global aging. Technological Forecasting and Social Change, 115, 52–68. https://doi.org/10.1016/j.techfore.2016.09.017

    Article  Google Scholar 

  • Grinin, L., Grinin, A., & Korotayev, A. (2020). A quantitative analysis of worldwide long-term technology growth: From 40, 000 BCE to the early 22nd century. Technological Forecasting and Social Change, 155, 119955. https://doi.org/10.1016/j.techfore.2020.119955

    Article  Google Scholar 

  • Grinin, L., Grinin, A., & Korotayev, A. (2021a). COVID-19 Pandemic as a trigger for the acceleration of the Cybernetic Revolution, transition from E-Government to E-State, and change in social relations. Technological Forecasting & Social Change, 175, 1–16. https://doi.org/10.1016/j.techfore.2021.121348.

  • Grinin, L., Grinin, A., & Korotayev, A. (2021b). Global Trends and forecasts of the 21st Century. World Futures, 77(5), 335–370. https://doi.org/10.1080/02604027.2021.1949939.

  • Grinin, L., Grinin, A., & Korotayev, A. (2022). COVID-19 pandemic as a trigger for the acceleration of the cybernetic revolution, transition from E-government to E-state, and change in social relations. Technological Forecasting and Social Change, 175, 1–15. https://doi.org/10.1016/j.techfore.2021.121348

    Article  Google Scholar 

  • Grinin, L., & Grinin, A. (2016). Ot Rubil Do Nanorobotov, Mir Na Puti k Epokhe Samoupravlyaemyh Sistem (Istoriya Tekhnologij i Opisanie Ih Budushchego). Moscow Branch of the Uchitel Publishing House.

    Google Scholar 

  • Grinin, L., & Korotayev, A. (2020). COVID-19 pandemic, geopolitics, and recession. International Center for Education and Social and Humanitarian Studies. https://doi.org/10.13140/RG.2.2.13998.54089.

  • Grinin, L., Korotayev, A., & Tausch, A. (2016). Economic cycles, crises, and the global periphery. Springer, Cham. https://doi.org/10.1007/978-3-319-41262-7

  • Grinin, L., Grinin, A., & Korotayev, A. (2017). The MANBRIC-technologies in the forthcoming technological revolution. In Industry 4.0: Entrepreneurship and Structural Change in the New Digital Landscape (pp. 243–261). Springer, Cham. https://doi.org/10.1007/978-3-319-49604-7_13

  • Grix, J., Brannagan, P. M., Grimes, H., & Neville, R. (2021). The impact of Covid-19 on sport. International Journal of Sport Policy and Politics, 13(1), 1–12.

    Article  Google Scholar 

  • Hantrais, L., Allin, P., Kritikos, M., Sogomonjan, M., Anand, P. B., Livingstone, S., & Innes, M. (2021). Covid-19 and the digital revolution. Contemporary Social Science, 16(2), 256–270.

    Article  Google Scholar 

  • Hartman, M., Martin, A. B., Washington, B., Catlin, A., & National Health Expenditure Accounts Team. (2022). National health care spending in 2020: Growth driven by federal spending in response to the COVID-19 pandemic: National health expenditures study examines US health care spending in 2020. Health Affairs, 41(1), 13−25

    Google Scholar 

  • Hasan, H. R., Salah, K., Jayaraman, R., Arshad, J., Yaqoob, I., Omar, M., & Ellahham, S. (2020). Blockchain-based solution for COVID-19 digital medical passports and immunity certificates. IEEE Access, 8, 222093–222108. Presented at the IEEE Access. https://doi.org/10.1109/ACCESS.2020.3043350

  • Hofbauer, H., & Komlosy, A. (2020). Corona-Krise: Anschub für eine kybernetische Wende. Telepolis. https://www.heise.de/tp/features/Corona-Krise-Anschub-fuer-eine-kybernetische-Wende-4723168.html

  • Houlding, E., Mate, K. K., Engler, K., Ortiz-Paredes, D., Pomey, M. P., Cox, J., & Lebouché, B. (2021). Barriers to use of remote monitoring technologies used to support patients with COVID-19: Rapid review. JMIR mHealth and uHealth, 9(4), e24743.

    Article  Google Scholar 

  • Hussain, M. (2021). The changing dynamics of liberal international order: Covid-19 and its global implications. Journal of Globalization Studies, 12(2), 143–156.

    Article  Google Scholar 

  • Irshad, S. M. (2020). Covid-19 and global ‘at-risk community’: From benefit-sharing to risk-sharing of economic crisis. Journal of Globalization Studies, 11(2), 132–142.

    Article  Google Scholar 

  • Jackson, T., Steed, L., Pedruzzi, R., Beyene, K., & Chan, A. H. Y. (2022). COVID-19 and behavioral sciences. Frontiers in Public Health, 9, 2335.

    Article  Google Scholar 

  • Jasiński, A. M., & Bąkowska, A. M. (2020). Globalization and life satisfaction of the polish population. Before and during the Covid-19 pandemic. Journal of Globalization Studies, 11(2), 146–155.

    Google Scholar 

  • Jat, D. S., & Singh, C. (2020). Artificial intelligence-enabled robotic drones for COVID-19 outbreak. In A. Joshi, N. Dey, & K. C. Santosh (Eds.), Intelligent systems and methods to combat Covid-19 (pp. 37–46). Springer. https://doi.org/10.1007/978-981-15-6572-4_5

  • Jeyanathan, M., Afkhami, S., Smaill, F., Miller, M. S., Lichty, B. D., & Xing, Z. (2020). Immunological considerations for COVID-19 vaccine strategies. Nature Reviews Immunology, 20(10), 615–632. https://doi.org/10.1038/s41577-020-00434-6

    Article  Google Scholar 

  • Jones, C. D., Hickman, J. E., Rumbold, S. T., Walton, J., Lamboll, R. D., Skeie, R. B., & Ziehn, T. (2021). The climate response to emissions reductions due to COVID‐19: Initial results from CovidMIP. Geophysical Research Letters48(8), e2020GL091883.

    Google Scholar 

  • Jung, J. H., & Lim, D.-G. (2020). Industrial robots, employment growth, and labor cost: A simultaneous equation analysis. Technological Forecasting and Social Change, 159, 120202. https://doi.org/10.1016/j.techfore.2020.120202

    Article  Google Scholar 

  • Kakkar, S. (2021). The outbreak of sars-cov-2 (Covid-19): Impact on international tourism. Journal of Globalization Studies, 12(1), 145–158.

    Article  Google Scholar 

  • Kaneda, T., Greenbaum, C., & Patierno, K. (2016). 2018 world population data sheet. Population Reference Bureau. https://www.prb.org/2016-world-population-data-sheet/

  • Khan, A., Khan, N., & Shafiq, M. (2021). The economic impact of COVID-19 from a global perspective. Contemporary Economics, 15(1), 64–76.

    Article  Google Scholar 

  • Kimmig, R., Verheijen, R. H. M., & Rudnicki, M. (2020). Robot assisted surgery during the COVID-19 pandemic, especially for gynecological cancer: a statement of the society of European robotic gynaecological surgery (SERGS). Journal of Gynecologic Oncology, 31(3). https://doi.org/10.3802/jgo.2020.31.e59

  • Kowalewski, M. (2021). Street protests in times of COVID-19: Adjusting tactics and marching ‘as usual.’ Social Movement Studies, 20(6), 758–765. https://doi.org/10.1080/14742837.2020.1843014

    Article  Google Scholar 

  • Kumar, V., Alshazly, H., Idris, S. A., & Bourouis, S. (2021a). Evaluating the impact of covid-19 on society, environment, economy, and education. Sustainability, 13(24), 13642.

    Article  Google Scholar 

  • Kumar, M., Kumari, N., Thakur, N., Bhatia, S. K., Saratale, G. D., Ghodake, G., & Chung, S. M. (2021b). A comprehensive overview on the production of vaccines in plant-based expression systems and the scope of plant biotechnology to combat against SARS-CoV-2 virus pandemics. Plants, 10(6), 1213.

    Article  Google Scholar 

  • Kumar, A., Singh, P., Raizada, P., & Hussain, C. M. (2022). Impact of COVID-19 on greenhouse gases emissions: A critical review. Science of the Total Environment, 806, 150349.

    Article  Google Scholar 

  • Kumari, P., & Seeja, K. R. (2021). A novel periocular biometrics solution for authentication during Covid-19 pandemic situation. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-020-02814-1

    Article  Google Scholar 

  • Kuznetsova, V., & Mashkina, O. (2020). Trudovaya migratsiya i problemy obucheniya detey rabochikh-migrantov v Kitaye. Istoriya i Sovremennost’, 2(36), 46–69.

    Google Scholar 

  • Leswing, K. (2021). Companies are racing to build digital passports for people to prove they’ve had the Covid vaccine. CNBC. Retrieved February 4, 2021, from https://www.cnbc.com/2021/01/24/vaccine-passes-could-get-us-back-in-bars-.html

  • Liu, J., Chang, H., Forrest, J.Y.-L., & Yang, B. (2020a). Influence of artificial intelligence on technological innovation: Evidence from the panel data of China’s manufacturing sectors. Technological Forecasting and Social Change, 158, 120142. https://doi.org/10.1016/j.techfore.2020.120142

    Article  Google Scholar 

  • Liu, S., Yang, L., Zhang, C., Xiang, Y.-T., Liu, Z., Hu, S., & Zhang, B. (2020b). Online mental health services in China during the COVID-19 outbreak. The Lancet Psychiatry, 7(4), e17–e18. https://doi.org/10.1016/S2215-0366(20)30077-8

    Article  Google Scholar 

  • Lutz, W., Goujon, A., Kc, S., Stonawski, M., & Stilianakis, N. (2018). Demographic and human capital scenarios for the 21st century: 2018 assessment for 201 countries. Publications Office of the European Union.

    Google Scholar 

  • Lyon, D. (2001). Surveillance society: Monitoring everyday Lifl. McGraw-Hill Education.

    Google Scholar 

  • Mahagamage, Y., & Marasinghe, K. (2023). The socio-economic effects of covid-19. Saúde e Sociedade, 32.

    Google Scholar 

  • Malodia, S., Dhir, A., Mishra, M., & Bhatti, Z. A. (2021). Future of e-Government: An integrated conceptual framework. Technological Forecasting and Social Change, 173, 121102.

    Article  Google Scholar 

  • Martin, A., Markhvida, M., Hallegatte, S., & Walsh, B. (2020). Socio-economic impacts of COVID-19 on household consumption and poverty. Economics of Disasters and Climate Change, 4(3), 453–479.

    Article  Google Scholar 

  • Mbunge, E., Ndumiso, N., Kavu, T. D., Dandajena, K., Batani, J., & Fashoto, S. G. (2022). Towards QR code health systems amid COVID-19: Lessons learnt from other QR code digital technologies. The science behind the COVID pandemic and healthcare technology dolutions (pp. 129–143). Springer International Publishing.

    Google Scholar 

  • McKeown, J. S., Bista, K., & Chan, R. Y. (2022). Global higher education during COVID-19: Policy, society, and technology. STAR Scholars.

    Google Scholar 

  • Mhlanga, D. (2022). The role of artificial intelligence and machine learning amid the COVID-19 pandemic: What lessons are we learning on 4IR and the sustainable development goals. International Journal of Environmental Research and Public Health, 19(3), 1879.

    Article  Google Scholar 

  • Moustaka, V., Theodosiou, Z., Vakali, A., Kounoudes, A., & Anthopoulos, L. G. (2019). Εnhancing social networking in smart cities: Privacy and security borderlines. Technological Forecasting and Social Change, 142, 285–300. https://doi.org/10.1016/j.techfore.2018.10.026

    Article  Google Scholar 

  • Musyuni, P., Aggarwal, G., Nagpal, M., & Goyal, R. K. (2020). A case study: Analysis of patents on coronaviruses and Covid-19 for technological assessment and future research. Current Pharmaceutical Design. https://doi.org/10.2174/1381612826666200720233947

    Article  Google Scholar 

  • OECD. (2020). COVID-19 and fiscal relations across levels of government (p. 45). OECD. Retrieved January 12, 2021, from https://read.oecd-ilibrary.org/view/?ref=129_129940-barx72laqm&title=COVID-19-and-Fiscal-Relations-across-Levels-of-Government

  • Palestino, G., García-Silva, I., González-Ortega, O., & Rosales-Mendoza, S. (2020). Can nanotechnology help in the fight against COVID-19? Expert Review of Anti-Infective Therapy, 18(9), 849–864. https://doi.org/10.1080/14787210.2020.1776115

    Article  Google Scholar 

  • Parolin, Z., & Lee, E. K. (2022). The role of poverty and racial discrimination in exacerbating the health consequences of COVID-19. The Lancet Regional Health-Americas, 7, 100178.

    Article  Google Scholar 

  • Patel, P., & Gohil, P. (2021). Role of additive manufacturing in medical application COVID-19 scenario: India case study. Journal of Manufacturing Systems, 60, 811–822.

    Article  Google Scholar 

  • Pérez-Morote, R., Pontones-Rosa, C., & Núñez-Chicharro, M. (2020). The effects of e-government evaluation, trust and the digital divide in the levels of e-government use in European countries. Technological Forecasting and Social Change, 154, 119973. https://doi.org/10.1016/j.techfore.2020.119973

    Article  Google Scholar 

  • Phillips, F. (2007). On S-curves and tipping points. Technological Forecasting and Social Change, 74(6), 715–730.

    Article  Google Scholar 

  • Phillips, F. (2011). The state of technological and social change: Impressions. Technological Forecasting and Social Change, 78(6), 1072–1078. https://doi.org/10.1016/j.techfore.2011.03.020

    Article  Google Scholar 

  • Plebe, A., & Perconti, P. (2020). Plurality: The end of singularity? In A. V. Korotayev & D. J. LePoire (Eds.), The 21st century singularity and global futures (pp. 163–184). Springer International Publishing. https://doi.org/10.1007/978-3-030-33730-8_8

  • Ram, N., & Gray, D. (2020). Mass surveillance in the age of COVID-19. Journal of Law and the Biosciences, 7(lsaa023). https://doi.org/10.1093/jlb/lsaa023

  • Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2020). Online university teaching during and after the Covid-19 crisis: Refocusing teacher presence and learning activity. Postdigital Science and Education, 2(3), 923–945. https://doi.org/10.1007/s42438-020-00155-y

    Article  Google Scholar 

  • Ray, R. L., Singh, V. P., Singh, S. K., Acharya, B. S., & He, Y. (2022). What is the impact of COVID-19 pandemic on global carbon emissions? Science of the Total Environment, 816, 151503.

    Article  Google Scholar 

  • Reicher, S., & Stott, C. (2020). On order and disorder during the COVID-19 pandemic. British Journal of Social Psychology, 59(3), 694–702. https://doi.org/10.1111/bjso.12398

    Article  Google Scholar 

  • Remmel, A. (2021). COVID vaccines and safety: What the research says. Nature, 590(7847), 538–540.

    Article  Google Scholar 

  • Renu, N. (2021). Technological advancement in the era of COVID-19. SAGE Open Medicine, 9, 20503121211000910.

    Article  Google Scholar 

  • Research America. (2017). U.S. Investments in medical and health research and development (p. 16). Research America. https://www.researchamerica.org/sites/default/files/Publications/InvestmentReport2019_Fnl.pdf

  • Richards, N. M. (2012). The dangers of surveillance. Harvard Law Review, 126, 1934–1963.

    Google Scholar 

  • Saengtabtim, K., Leelawat, N., Tang, J., Suppasri, A., & Imamura, F. (2022). Consequences of COVID-19 on health, economy, and tourism in Asia: A systematic review. Sustainability, 14(8), 4624.

    Article  Google Scholar 

  • Sarfraz, Z., Sarfraz, A., Iftikar, H. M., & Akhund, R. (2021). Is COVID-19 pushing us to the fifth industrial revolution (society 5.0)?. Pakistan journal of medical sciences37(2), 591.

    Google Scholar 

  • Schwab, K., & Malleret, T. (2020). Covid-19: The great reset. WEF: Edition.

    Google Scholar 

  • Schwartz, P. M. (1999). Internet privacy and the state. Connecticut Law Review, 32, 815.

    Google Scholar 

  • Sean. (2021). We analyzed 450 apps and found location trackers in every one.| ExpressVPN. Home of internet privacy. Retrieved February 3, 2021, from https://www.expressvpn.com/blog/digital-security-lab-location-trackers-smartphone-apps-research/

  • Seifabadi, M. S., & Dolatabadi, A. B. (2022). Covid-19, globalization and strengthening authoritarianism in the middle east. Journal of Globalization Studies, 13(1), 135–157.

    Article  Google Scholar 

  • Shah, S., Diwan, S., Kohan, L., Rosenblum, D., Gharibo, C., Soin, A., et al. (2020). The technological impact of COVID-19 on the future of education and health care delivery. Pain Physician, 23, 14.

    Google Scholar 

  • Silcock, R. (2001). What is E-government. Parliamentary Affairs, 54(1), 88–101. https://doi.org/10.1093/pa/54.1.88

    Article  Google Scholar 

  • Síthigh, D. M., & Siems, M. (2019). The Chinese social credit system: A model for other countries? The Modern Law Review, 82(6), 1034–1071. https://doi.org/10.1111/1468-2230.12462

    Article  Google Scholar 

  • Skorup, B., & Haaland, C. (2020). How drones can help fight the coronavirus. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3564671

    Article  Google Scholar 

  • Sohil, F., & Sohail, M. U. (2022). Global discrimination of COVID-19 vaccine. Human Vaccines & Immunotherapeutics, 18(1), 2028515.

    Article  Google Scholar 

  • Solove, D. J. (2008). Understanding privacy. Harvard University Press.

    Google Scholar 

  • Stanley, J., & Granick, J. S. (2020). The limits of location tracking in an epidemic. 9.

    Google Scholar 

  • Statistics Sweden. (2020). Government budget allocations for R&D (GBARD) 2020. Statistiska Centralbyrån. Retrieved January 13, 2021, from http://www.scb.se/en/finding-statistics/statistics-by-subject-area/education-and-research/research/government-budget-allocations-for-rd/pong/statistical-news/government-budget-allocations-for-rd-gbard-2020/.

  • Strandberg, T. (2020). Coronavirus: US and UK governments losing public trust. The Conversation. http://theconversation.com/coronavirus-us-and-uk-governments-losing-public-trust-137713.

  • Sulochanan Karthick Ramanathan, S., Fathima Kamal Basha, R., & Banu, A. (2021). A novel face recognition technology to enhance health and safety measures in hospitals using SBC in pandemic prone areas. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.11.336

  • Tang, Z., Zhang, X., Shu, Y., Guo, M., Zhang, H., & Tao, W. (2021). Insights from nanotechnology in COVID-19 treatment. Nano Today, 36, 101019. https://doi.org/10.1016/j.nantod.2020.101019

    Article  Google Scholar 

  • Technavio. (2020). Global 3D facial recognition systems market 2018–2022. Retrieved February 3, 2021, from https://www.technavio.com/report/global-3d-facial-recognition-systems-market-analysis-share-2018

  • Transparency Market Research. (2020). Impact of COVID-19 on adaptive traffic control system market growth, segments, size, industry analysis and opportunities 2030. Retrieved February 3, 2021, from https://ksusentinel.com/2021/01/11/impact-of-covid-19-on-adaptive-traffic-control-system-market-growth-segments-size-industry-analysis-and-opportunities-2030/

  • UN Population Division. (2019). World population prospects 2019: Volume I: Comprehensive tables. UN Population Division.

    Google Scholar 

  • UN Population Division (2022a). United Nations population division database. United Nations, Department of Economics and Social Affairs, Population Division. http://www.un.org/esa/population

  • UN Population Division (2022b). World population prospects 2022. United Nations, Department of Economics and Social Affairs, Population Division.

    Google Scholar 

  • UNeGovDD. (2013). E-Government. The United Nations E-Government Development Database. Retrieved February 4, 2021, from https://publicadministration.un.org/egovkb/en-us/About/UNeGovDD-Framework

  • Usman, M., Husnain, M., Riaz, A., Riaz, A., & Ali, Y. (2021). Climate change during the COVID-19 outbreak: Scoping future perspectives. Environmental Science and Pollution Research, 28(35), 49302–49313.

    Article  Google Scholar 

  • van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. (2022). Emergence of protests during the COVID-19 pandemic: Quantitative models to explore the contributions of societal conditions. Humanities and Social Sciences Communications, 9(1), 1–11.

    Google Scholar 

  • Vieten, U. M. (2020). The “new normal” and “pandemic populism”: The COVID-19 crisis and anti-hygienic mobilisation of the far-right. Social Sciences, 9(9), 165. https://doi.org/10.3390/socsci9090165

    Article  Google Scholar 

  • Vollset, S. E., Goren, E., Yuan, C.-W., Cao, J., Smith, A. E., Hsiao, T., Murray, C. J. L., et al. (2020). Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: A forecasting analysis for the global burden of disease study. The Lancet. https://doi.org/10.1016/S0140-6736(20)30677-2

    Article  Google Scholar 

  • Walby, S. (2022). Crisis and society: Developing the theory of crisis in the context of COVID-19. Global Discourse, 12(3–4), 498–516.

    Article  Google Scholar 

  • Wang, S., Ding, S., & Xiong, L. (2020). A new system for surveillance and digital contact tracing for COVID-19: Spatiotemporal reporting over network and GPS. JMIR mHealth and uHealth, 8(6), e19457.

    Article  Google Scholar 

  • Weiss, C., Carriere, M., Fusco, L., Capua, I., Regla-Nava, J. A., Pasquali, M., et al. (2020). Toward nanotechnology-enabled approaches against the COVID-19 pandemic. ACS Nano, 14(6), 6383–6406. https://doi.org/10.1021/acsnano.0c03697

    Article  Google Scholar 

  • Westin, A. F. (1966). Science, privacy, and freedom: Issues and proposals for the 1970’s. Part I–The current impact of surveillance on privacy. Columbia Law Review, 66(6), 1003–1050.

    Google Scholar 

  • WHO. (2020a). A coordinated global research roadmap (p. 68). WHO. Retrieved February 2, 2021, from https://www.who.int/publications/m/item/a-coordinated-global-research-roadmap

  • WHO. (2020b). Immunity passports in the context of COVID-19. Retrieved February 3, 2021, from https://www.who.int/news-room/commentaries/detail/immunity-passports-in-the-context-of-covid-19

  • Widdowson, M. (2021). From Covid-19 to zero-gravity: Complex crises and production revolutions. Journal of Globalization Studies, 12(1), 117–144.

    Article  Google Scholar 

  • Wittgenstein Centre. (2024). Wittgenstein centre human capital data explorer. Retrieved January 2, 2024, from http://dataexplorer.wittgensteincentre.org/wcde-v2/

  • Wood, S. (2022). How consumers behave in a crisis: International lessons (and Innovations) from COVID-19. Journal of International Marketing, 30(2), 5–12.

    Article  Google Scholar 

  • Wood, R., Reinhardt, G. Y., RezaeeDaryakenari, B., & Windsor, L. C. (2022). Resisting lockdown: The influence of COVID-19 restrictions on social unrest. International Studies Quarterly66(2), sqac015.

    Google Scholar 

  • Xie, X., Ramakrishna, S., & Manganelli, M. (2022). Smart building technologies in response to COVID-19. Energies, 15(15), 5488.

    Article  Google Scholar 

  • Yang, D. (2021). Application of nanotechnology in the COVID-19 pandemic. International Journal of Nanomedicine, 16, 623.

    Article  Google Scholar 

  • Yoo, S., & Managi, S. (2020). Global mortality benefits of COVID-19 action. Technological Forecasting and Social Change, 160, 120231. https://doi.org/10.1016/j.techfore.2020.120231

    Article  Google Scholar 

  • Zhu, Y., Janssen, M., Wang, R., & Liu, Y. (2022). It is me, chatbot: Working to address the COVID-19 outbreak-related mental health issues in China. User experience, satisfaction, and influencing factors. International Journal of Human–Computer Interaction, 38(12), 1182–1194.

    Google Scholar 

  • Zhuang, Q., Sun, G., Zhang, F., Zhang, J., You, L., Chen, S., & Pan, H. (2021). How Internet technologies can help hospitals to curb COVID-19: PUMCH experience from China. Health Information MaNagement Journal, 50(1–2), 95–98.

    Article  Google Scholar 

  • Zimmer, C., Corum, J., & Wee, S.-L. (2020). Coronavirus vaccine tracker. The New York Times. https://www.nytimes.com/interactive/2020/science/coronavirus-vaccine-tracker.html. Accessed 2 February 2021.

  • Zimmerling, A., & Chen, X. (2021). Innovation and possible long-term impact driven by COVID-19: Manufacturing, personal protective equipment and digital technologies. Technology in Society, 65, 101541.

    Article  Google Scholar 

Download references

Acknowledgements

This chapter is an output of a research project implemented as part of the Basic Research Program at HSE University in 2024 with support from the Russian Science Foundation (Project No. 23-18-00535).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leonid Grinin .

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Grinin, L., Grinin, A., Korotayev, A. (2024). The Cybernetic Revolution, COVID-19 and the E-state. In: Cybernetic Revolution and Global Aging. World-Systems Evolution and Global Futures. Springer, Cham. https://doi.org/10.1007/978-3-031-56764-3_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56764-3_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56763-6

  • Online ISBN: 978-3-031-56764-3

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics