A panoramic view to the evolution of three scientific communities in chilean academia 2012-2022

Authors

  • Jorge Gibert Galassi Universidad de Valparaíso
  • Paola Espina Bocic Universidad de Viña del Mar

DOI:

https://doi.org/10.22370/pe.2022.13.3553

Keywords:

scientific communities, evolution, university research, values & incentives

Abstract

The scientific community (or the academic profession) is one of the key players in the global and local dynamics of R&D and affects enormously the performance of contemporary societies. Nevertheless, historical, and institutional conditions strongly affect the magnitude and form of scientific and technological production in the various scientific communities around the globe. During the 20th century, the scientific community has been described as Merton's CUDO, followed by Kuhn's notion of paradigm, and finally in terms of post-normal science debates, mode two, and triple helix. This paper compares two measurements (survey-2012, and survey 2022), describing the evolution of a set of characteristics, especially incentives and values, ​​​​in three scientific communities (astronomers, sociologists, and molecular biologists) as representative of three epistemic practices: exact sciences, natural sciences, and social sciences. After an introduction describing the context of knowledge production in Chile, the paper compares results from both surveys, trying to understand the differences and aspects in common in a transversal way through three dimensions. The results are the outcome of two online surveys applied to a statistically representative of the communities studied.

Downloads

Download data is not yet available.

Author Biographies

Jorge Gibert Galassi, Universidad de Valparaíso

CIDEP, UNIVERSIDAD DE VALPARAÍSO

Paola Espina Bocic, Universidad de Viña del Mar

ESCUELA DE CIENCIAS SOCIALES, UNIVERSIDAD DE VIÑA DEL MAR

References

Bernal, John (1939). The social function of science. London: George Routledge & sons.

Boudon, Raymond (2017). The origins of values. Sociology and philosophy of beliefs. London: Routledge.

Boyanovsky, M. (2021), “Economists, scientific communities, and pandemics: An exploratory study of Brazil (1918–2020)”, EconomiA, 22: 1–18.

Collins, Harry (2004). Gravity's Shadow: The Search for Gravitational Waves. Chicago: University of Chicago Press.

Gantman, E. (2012), "Economic, linguistic, and political factors in the scientific productivity of countries", Scientometrics, 93 (3): 967–985.

Gesthuizen , M. et al. (2019), “Extrinsic and Intrinsic Work Values: Findings on equivalence in Different Cultural Contexts”, ANNALS, AAPSS, 682 (1): 60-83.

Gibert, J. (2011). La construcción social del científico. Identidad intelectual y social de comunidades científicas en universidades chilenas. Estudios Sociales, N° 119: 169-206.

Gibert, J., Perez, C. (2020). Política de formación – inserción de capital humano avanzado: Ideas para el desarrollo nacional desde la ciencia, la tecnología y la innovación. En Daniel Cabrera (Ed.), Innovación. Perspectivas multidisciplinarias, pp. 45-93. Santiago de Chile: Editorial RIL.

Gonzalez-Brambila, C. et al (2016), "The Scientific Impact of Developing Nations", Plos One, 11 (3).

Hedström, Peter and Swedberg, Richard (1998). Social mechanisms. An analytical approach to social theory. NYC: Cambridge University Press.

Jaffe, K. et al. (2013), "Productivity in Physical and Chemical Science Predicts the Future Economic Growth of Developing Countries Better than Other Popular Indices", Plos One, 8 (6)

Keuchenius , A. et al. (2021), “Adoption and adaptation: A computational case study of the spread of Granovetter's weak ties hypothesis”, Social Networks, 66: 10–25.

Kraemer-Mbula, E. et al. (2020). Transforming Research Excellence. New Ideas from the Global South. Cape Town, South Africa: African minds.

Kumar, R. et al (2016), "Exploring the link between research and economic growth: an empirical study of China and USA", Quality & Quantity, 50: 1073-1091.

Kuhn, Thomas S. (1970). The Structure of Scientific Revolutions. Chicago: University of Chicago Press.

Latour, Bruno (1999). Pandora's Hope: Essays on the Reality of Science Studies. Cambridge: Harvard University Press.

Lee, L.C. et al. (2011), “Research output and economic productivity: a Granger causality test”, Scientometrics, 89 (2): 465–478

Manzo, Gianluca (ed.) (2014). Analytic sociology. Actions and networks. UK: Wiley.

Mitroff, I.I. (1974), "Norms and Counter-Norms in a Select Group of the Apollo Moon Scientists: A Case Study of the Ambivalence of scientists", American Sociological Review, 39: 579-595.

Meo S.A. et al. (2013), "Impact of GDP, Spending on R&D, Number of Universities and Scientific Journals on Research Publications among Asian Countries", PLoS ONE 8 (10).

Merton, Robert (1973. The Sociology of Science. Chicago: University of Chicago Press.

Mullins, N.C. (1972), “The development of a scientific specialty: The phage group and the origins of molecular biology”, Minerva, 10: 51–82.

Polanyi, M. (1962), “The republic of science: its political and economic theory”, Minerva, I (1): 54-73.

Powell, W. et al. (2012). Organizational and institutional genesis: the emergence of high-tech clusters in the life sciences. In Padgett, John, Powell, Walter (eds.), The emergence of organizations and markets, pp. 434-465. Princeton (US) & Oxford (UK): Princeton University Press.

Solarin, S. and Yen, Y. (2016), "A global analysis of the impact of research out on economic growth", Scientometrics, 108 (2): 855-874.

Walshok, Mary, Shragge, Abraham (2015). Invention and Reinvention: The evolution of San Diego's innovation economy. Stanford US: Stanford University Press.

Downloads

Published

2023-01-11

How to Cite

Gibert Galassi, J., & Espina Bocic, P. (2023). A panoramic view to the evolution of three scientific communities in chilean academia 2012-2022. Economic Profiles, (13). https://doi.org/10.22370/pe.2022.13.3553

Issue

Section

Notas de Investigación