Taller
Informática para historia de las ciencias
En unos días voy a impartir el taller de Informática para historia de las ciencias en el que haremos una revisión exhaustiva, minuciosa, detallada y profunda de la información y la informática en la investigación sobre historia de las ciencias.
Organizado por el Seminario Universitario de Historia, Filosofía y Estudios de las Ciencias y la Medicina (SUHFECIM) dependiente de la Secretaría de Desarrollo Institucional (SDI) de la Universidad Nacional Autónoma de México (UNAM). https://suhfecim.sdi.unam.mx/. Es una entidad institucional de la Universidad Nacional Autónoma de México, creada en abril de 2021 por la Rectoría y dependiente de la Secretaría de Desarrollo Institucional (SDI) para dedicar un espacio al análisis, la reflexión, la investigación, la difusión y la divulgación de la interacción en temas sobre Historia, Filosofía, Medicina y Estudios de las Ciencias a nivel mundial.
Detalles del curso
10 sesiones los lunes 16:00-18:00 hrs, en línea del 24 de febrero al 19 de mayo del 2025 con una duración de 20 horas con valor curricular.
Tecnología informática
Programa del curso taller informatica historia ciencias lmichan 2025
Presentación informatica historia ciencias
Tablero con herramientas https://start.me/p/q6x7Nn/infovestigacion
Tablero con fuentes https://start.me/p/z4K9Ez/biohistoria
Tablero para cultura científica https://start.me/p/ydG76P/culturacientifica
colección bibliográfica en Zotero https://www.zotero.org/groups/5869420/settings
Proyecto CDarwin https://github.com/lmichan/cdarwin
Anotaciones sobre humanidades digitales https://hypothes.is/users/lmichan?q=HumanidadesDigitales
Bibliografía
Básica
Alfonso-Goldfarb, A. M., Waisse, S., & Ferraz, M. H. M. (2013). From Shelves to Cyberspace: Organization of Knowledge and the Complex Identity of History of Science. Isis, 104(3), 551–560. https://doi.org/10.1086/673274
Hull, D., Pettifer, S. R., & Kell, D. B. (2008). Defrosting the Digital Library: Bibliographic Tools for the Next Generation Web. PLOS Computational Biology, 4(10), e1000204. https://doi.org/10.1371/journal.pcbi.1000204
Hérubel, J.-P. V. M. (1999). Historical Bibliometrics: Its Purpose and Significance to the History of Disciplines. Libraries & Culture, 34(4), 380–388. https://www.jstor.org/stable/25548766
Maienschein, J. (2016). Time, Impact, and the Need for Digital History and Philosophy of Science. Isis, 107(2), 344–345. https://doi.org/10.1086/687213
Milligan, I. (2022). The Transformation of Historical Research in the Digital Age. Elements in Historical Theory and Practice. https://doi.org/10.1017/9781009026055
Rasmussen, N. (2021). Biomedicine and Its Historiography: A Systematic Review. En M. R. Dietrich, M. E. Borrello, & O. Harman (Eds.), Handbook of the Historiography of Biology (pp. 195–215). Springer International Publishing. https://doi.org/10.1007/978-3-319-90119-0_12
Spinaci, G., Colavizza, G., & Peroni, S. (2022). A map of Digital Humanities research across bibliographic data sources. Digital Scholarship in the Humanities, 37(4), 1254–1268. https://doi.org/10.1093/llc/fqac016
Strasser, B. J. (2012). Data-driven sciences: From wonder cabinets to electronic databases. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 43(1), 85–87. https://doi.org/10.1016/j.shpsc.2011.10.009
Complementaria
Benjakob, O., Guley, O., Sevin, J.-M., Blondel, L., Augustoni, A., Collet, M., Jouveshomme, L., Amit, R., Linder, A., & Aviram, R. (2023). Wikipedia as a tool for contemporary history of science: A case study on CRISPR. PLOS ONE, 18(9), e0290827. https://doi.org/10.1371/journal.pone.0290827
De Lima Navarro, P., & De Amorim Machado, C. (2020). An Origin of Citations: Darwin’s Collaborators and Their Contributions to the Origin of Species. Journal of the History of Biology, 53(1), 45–79. https://doi.org/10.1007/s10739-020-09592-8
De Lima Navarro, P., & De Amorim Machado, C. (2022). Correction to: An Origin of Citations: Darwin’s Collaborators and Their Contributions to the Origin of Species. Journal of the History of Biology, 55(1), 205–206. https://doi.org/10.1007/s10739-021-09640-x
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., Vespignani, A., Waltman, L., Wang, D., & Barabási, A.-L. (2018). Science of science. Science, 359(6379), eaao0185. https://doi.org/10.1126/science.aao0185
Garfield, E. (2009). From the science of science to Scientometrics visualizing the history of science with HistCite software. Journal of Informetrics, 3(3), 173–179. https://doi.org/10.1016/j.joi.2009.03.009
Kim, M. C., & Zhu, Y. (2018). Scientometrics of Scientometrics: Mapping Historical Footprint and Emerging Technologies in Scientometrics. En M. Jibu & Y. Osabe (Eds.), Scientometrics. InTech. https://doi.org/10.5772/intechopen.77951
Kragh, H. S. (1987). An Introduction to the Historiography of Science (1a ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511622434
Lamirel, J.-C., Chen, Y., Cuxac, P., Al Shehabi, S., Dugué, N., & Liu, Z. (2020). An overview of the history of Science of Science in China based on the use of bibliographic and citation data: a new method of analysis based on clustering with feature maximization and contrast graphs. Scientometrics, 125(3), 2971–2999. https://doi.org/10.1007/s11192-020-03503-8
Laubichler, M. D., Maienschein, J., & Renn, J. (2019). Computational History of Knowledge: Challenges and Opportunities. Isis, 110(3), 502–512. https://doi.org/10.1086/705544
Leonelli, S., & Tempini, N. (Eds.). (2020). Data Journeys in the Sciences. Springer International Publishing. https://doi.org/10.1007/978-3-030-37177-7
Leydesdorff, L. (2010). Eugene Garfield and Algorithmic Historiography: Co-Words, Co-Authors, and Journal Names (No. arXiv:1005.5444). arXiv. https://doi.org/10.48550/arXiv.1005.5444
Li, X., Yao, Q., Tang, X., Li, Q., & Wu, M. (2020). How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite. Scientometrics, 125(2), 1253–1274. https://doi.org/10.1007/s11192-020-03659-3
Lucio-Arias, D., & Scharnhorst, A. (2012). Mathematical Approaches to Modeling Science from an Algorithmic-Historiography Perspective. En A. Scharnhorst, K. Börner, & P. van den Besselaar (Eds.), Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (pp. 23–66). Springer. https://doi.org/10.1007/978-3-642-23068-4_2
Marx, W., & Bornmann, L. (2014). Tracing the origin of a scientific legend by reference publication year spectroscopy (RPYS): the legend of the Darwin finches. Scientometrics, 99(3), 839–844. https://doi.org/10.1007/s11192-013-1200-8
Osca-Lluch, J., Velasco, E., López, M., & Haba, J. (2009). Co-authorship and citation networks in Spanish history of science research. Scientometrics, 80(2), 373–383. https://doi.org/10.1007/s11192-008-2089-5
Siebold, A., & Valleriani, M. (2022). Digital Perspectives in History. Histories, 2(2), 170–177. https://doi.org/10.3390/histories2020013
Yagi, E., Badash, L., & Beaver, D. D. B. (1996). Derek J. de S. Price (1922–83) Historian of science and herald of scientometrics. Interdisciplinary Science Reviews, 21(1), 64–84. https://doi.org/10.1179/isr.1996.21.1.64
Comentarios
Publicar un comentario