The disciplinary diversity shrinkage — the experience of Colombian social science research groups
DOI:
https://doi.org/10.47989/ir31iConf64167Keywords:
Disciplinary diversity, Interdisciplinarity, Social sciences, SciTS, Research groupsAbstract
Introduction. This study examines disciplinary diversity within 1,105 Colombian social science research groups between 2013 and 2021. While existing literature focuses on STEMM in high-income nations, this research addresses the knowledge gap in middle-low-income contexts where resource constraints influence scientific resilience.
Method. Data were retrieved from MinCiencias national assessments. The study used the DIV diversity index to evaluate three dimensions: variety, balance, and disparity.
Analysis. The longitudinal analysis categorized groups by their national ranking (A1, A, B, C, and Recognized). Trends in the DIV index were correlated with team size and hierarchical structures to identify factors influencing interdisciplinary composition.
Results. Findings indicate a significant decline in disciplinary diversity among top-tier groups (A1 and A) over time. While lower-ranked groups maintained more stable profiles, their overall diversity remained low. Increased team size and hierarchical concentration in elite groups appear to hinder disciplinary integration.
Conclusions. The reduction in diversity suggests that current national assessment policies may inadvertently discourage interdisciplinarity. Reforms are necessary to foster flatter, more innovative team structures. Future research should consider open bibliometric data to link these diversity trends to specific research impacts.
References
Abramo, G., & D’Angelo, C. A. (2024). The scientific standing of nations and its relationship with economic competitiveness. PLOS ONE, 19(6), e0304299. https://doi.org/10.1371/JOURNAL.PONE.0304299
Aydinoglu, A. U., Allard, S., & Mitchell, C. (2016). Measuring diversity in disciplinary collaboration in research teams: An ecological perspective. Research Evaluation, 25(1), 18–36. https://doi.org/10.1093/reseval/rvv028
Bercovitz, J., & Feldman, M. (2011). The mechanisms of collaboration in inventive teams: Composition, social networks, and geography. Research Policy, 40(1), 81–93. https://doi.org/10.1016/j.respol.2010.09.008
Cortés, J. D., & Kulczycki, E. (2024). The Colombian Kaleidoscope—Interlinking Interdisciplinary Diversity of Scientists in Social Sciences Research Groups and Scientific Status. https://doi.org/10.5281/ZENODO.14179861
Cortés, J. D., & Ramírez Cajiao, M. C. (2024). The policy is dead, long live the policy—Revealing science, technology, and innovation policy priorities and government transitions via network analysis. Quantitative Science Studies, 5(2), 317–331. https://doi.org/10.1162/qss_a_00295
Huo, D., Motohashi, K., & Gong, H. (2019). Team diversity as dissimilarity and variety in organizational innovation. Research Policy, 48(6), 1564–1572. https://doi.org/10.1016/j.respol.2019.03.020
Kulczycki, E., Engels, T. C. E., Pölönen, J., Bruun, K., Dušková, M., Guns, R., Nowotniak, R., Petr, M., Sivertsen, G., Istenič Starčič, A., & Zuccala, A. (2018). Publication patterns in the social sciences and humanities: evidence from eight European countries. Scientometrics, 116(1), 463–486. https://doi.org/10.1007/s11192-018-2711-0
Leydesdorff, L., Wagner, C. S., & Bornmann, L. (2019). Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient. Journal of Informetrics, 13(1), 255–269. https://doi.org/10.1016/j.joi.2018.12.006
Li, R., Guns, R., Engels, T. C. E., Zhang, L., & Huang, Y. (2023). Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010–2019. Scientometrics, 128(4), 2447–2469. https://doi.org/10.1007/s11192-023-04651-3
MinCiencias. (2021). Convocatoria nacional para el reconocimiento y medición de grupos de investigación, desarrollo tecnológico o de innovación y para el reconocimiento de investigadores del Sistema Nacional de Ciencia, Tecnología e Innovación. https://minciencias.gov.co/convocatorias/fortalecimiento-capacidades-para-la-generacion-conocimiento/convocatoria-nacional-para
MinCiencias. (2022a). Grupos de Investigación Reconocidos. Grupos de Investigación Reconocidos | Datos Abiertos Colombia. https://www.datos.gov.co/Ciencia-Tecnolog-a-e-Innovaci-n/Grupos-de-Investigaci-n-Reconocidos/hrhc-c4wu
MinCiencias. (2022b, September 25). Investigadores reconocidos por convocatoria. Investigadores Reconocidos Por Convocatoria. https://bit.ly/3MKGgyE
MinCiencias. (2023). La Ciencia en Cifras. https://minciencias.gov.co/la-ciencia-en-cifras
Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5
OECD. (2015). Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development (The Measurement of Scientific, Technological and Innovation Activities). OECD. https://doi.org/10.1787/9789264239012-EN
Perović, S., Radovanović, S., Sikimić, V., & Berber, A. (2016). Optimal research team composition: data envelopment analysis of Fermilab experiments. Scientometrics, 108(1), 83–111. https://doi.org/10.1007/s11192-016-1947-9
Porter, A. L., & Rafols, I. (2009). Is science becoming more interdisciplinary? Measuring and mapping six research fields over time. Scientometrics, 81(3), 719–745. https://doi.org/10.1007/S11192-008-2197-2/METRICS
Roelofs, S., Edwards, N., Viehbeck, S., & Anderson, C. (2019). Formative, embedded evaluation to strengthen interdisciplinary team science: Results of a 4-year, mixed methods, multi-country case study. Research Evaluation, 28(1), 37–50. https://doi.org/10.1093/reseval/rvy023
Skilton, P. F. (2009). Does the human capital of teams of natural science authors predict citation frequency? Scientometrics, 78(3), 525–542. https://doi.org/10.1007/s11192-007-1953-z
Stirling, A. (2007). A general framework for analysing diversity in science, technology, and society. Journal of The Royal Society Interface, 4(15), 707–719. https://doi.org/10.1098/RSIF.2007.0213
Vasen, F., Sarthou, N. F., Romano, S. A., Gutiérrez, B. D., & Pintos, M. (2023). Turning academics into researchers: The development of National Researcher Categorization Systems in Latin America. Research Evaluation, 32(2), 244–255. https://doi.org/10.1093/reseval/rvad021
Wang, C.-C., Lin, J.-T., Chen, D.-Z., & Lo, S.-C. (2023). A New Look at National Diversity of Inventor Teams within Organizations. Journal of Informetrics, 17(1), 101369. https://doi.org/10.1016/j.joi.2022.101369
Wang, Q., & Schneider, J. W. (2020). Consistency and validity of interdisciplinarity measures. Quantitative Science Studies, 1(1), 239–263. https://doi.org/10.1162/qss_a_00011
Wu, L., Wang, D., & Evans, J. A. (2019). Large teams develop and small teams disrupt science and technology. Nature, 566(7744), 378–382. https://doi.org/10.1038/s41586-019-0941-9
Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The Increasing Dominance of Teams in Production of Knowledge. Science, 316(5827), 1036–1039. https://doi.org/10.1126/science.1136099
Xie, L., Zhou, J., Zong, Q., & Lu, Q. (2020). Gender diversity in R&D teams and innovation efficiency: Role of the innovation context✰. Research Policy, 49(1). https://doi.org/10.1016/j.respol.2019.103885
Xu, F., Wu, L., & Evans, J. (2022). Flat teams drive scientific innovation. Proceedings of the National Academy of Sciences, 119(23), e2200927119. https://doi.org/10.1073/pnas.2200927119
Zhou, Q., Rousseau, R., Yang, L., Yue, T., & Yang, G. (2012). A general framework for describing diversity within systems and similarity between systems with applications in informetrics. Scientometrics, 93(3), 787–812. https://doi.org/10.1007/s11192-012-0767-9
Zwanenburg, S., Nakhoda, M., & Whigham, P. (2022). Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation. Scientometrics, 127(12), 7769–7788. https://doi.org/10.1007/s11192-022-04310-z
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