Umbral para proyectos de ciencia ciudadana: el pensamiento complejo como impulsor de desarrollo holístico
DOI:
https://doi.org/10.5944/ried.25.2.33052Palabras clave:
ciencia ciudadana, ciencia abierta, pensamiento complejo, innovación educativa, educación superiorResumen
Los proyectos de ciencia ciudadana (CC) han sido impulsados por tecnologías y empoderamiento de las comunidades. Sin embargo, su impacto es impreciso por las dificultades para su seguimiento y estandarización. En particular, el desarrollo del pensamiento complejo de los ciudadanos no figura entre sus objetivos, a pesar del fuerte vínculo con la Educación 4.0 y la formación de ciudadanos comprometidos con la sociedad. Por tanto, proponemos un marco y una tipología para los proyectos de CC a la vez que se introduce el pensamiento complejo. Se empleó la metodología de la Innovación Educativa Basada en la Evidencia (EBEI), desde la perspectiva de la Teoría del Cambio (TdC), revisando los marcos más relevantes de la Recomendación de Ciencia Abierta de la UNESCO. Los resultados revelaron: (a) hay una falta de atención al desarrollo de las subcompetencias de la macro-competencia del pensamiento complejo; (b) existe un incremento y desarrollo de marcos de apoyo a la CC; (c) prevalecen marcos de proyectos de CC centrados en los participantes, evaluación-diseño de proyectos y la gestión de datos; (d) inexistencia de marcos de desarrollo basados en TdC de tres dimensiones, Limitada, Umbral y de Ciclo-completo; y (e) se propone tipología para medir el progreso e impacto de los proyectos de CC: Conciencia del contexto, participación ciudadana, aprovechamiento de la infraestructura, innovación tecnológica, innovación educativa, alcance y escala, creación de redes y pensamiento complejo. Prevemos que el marco y la tipología propuestos articulados al pensamiento complejo, ampliarán el impacto de las iniciativas de CC de manera integral.
ARTÍCULO COMPLETO:
https://revistas.uned.es/index.php/ried/article/view/33052/25349
Descargas
Citas
Antelio M., Esteves M. G. P., Schneider D., & Souza J.M.D. (2012). Qualitocracy: A data quality collaborative framework applied to citizen science. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 931-936. https://doi.org/10.1109/ICSMC.2012.6377847
Araújo J. L., Morais C., & Paiva J. C. (2022). Student participation in a coastal water quality citizen science project and its contribution to the conceptual and procedural learning of chemistry. Journal of Baltic Science Education, 20(6). 881-893. https://doi.org/10.33225/JBSE/21.20.881
Arazy, O., & Malkinson, D. (2021). A Framework of Observer-Based Biases in Citizen Science Biodiversity Monitoring: Semi-Structuring Unstructured Biodiversity Monitoring Protocols. Frontiers in Ecology and Evolution, 9. https://doi.org/10.3389/fevo.2021.693602
Asingizwe, D., Poortvliet, P. M., Koenraadt, C. J. M., Van Vliet, A. J. H., Murindahabi, M. M., Ingabire, C., Mutesa, L., & Feindt, P. H. (2018). NJAS - Wageningen Journal of Life Sciences, 86-87, 111-122. https://doi.org/10.1016/j.njas.2018.06.002
Ballerini, L., & Berth, S. (2021). Using citizen science data to monitor the Sustainable Development Goals: a bottom‑up analysis. Sustainability Science. https://doi.org/10.1007/s11625-021-01001-1
Baudry, J., Tancoigne, É., & Strasser, B. (2021). Turning crowds into communities: The collectives of online citizen science. Social Studies of Science, 1-26. https://doi.org/10.1177/03063127211058791
Belluigi, D. Z., & Cundill, G. (2017). Establishing enabling conditions to develop critical thinking skills: a case of innovative curriculum design in Environmental Science. Environmental Education Research, 23(7). 950-971. https://doi.org/10.1080/13504622.2015.1072802
Bolici, F., & Colella, N. A. (2019). How to Design Citizen-Science Activities: A Framework for Implementing Public Engagement Strategies in a Research Project. Lecture Notes in Information Systems and Organisation, 27, 149-162. https://doi.org/10.1007/978-3-319-90500-6_12
Bonney, R., Cooper, C., & Ballard, H. (2016). The Theory and Practice of Citizen Science: Launching a New Journal. Citizen Science: Theory and Practice, 1(1), p. 1. https://doi.org/10.5334/cstp.65
Cappa, F., Laut, J., Porfiri, M., & Giustiniano, L. (2018). Bring them aboard: rewarding participation in technology-mediated citizen science projects. Computers in Human Behavior, 89. https://doi.org/10.1016/j.chb.2018.08.017
Callaghan, C. T., Ozeroff, I., Hitchcock, C., & Chandler, M. (2020). Capitalizing on opportunistic citizen science data to monitor urban biodiversity: A multi-taxa framework. Biological Conservation, 251. https://doi.org/10.1016/j.biocon.2020.108753
Callaghan, C. T., Watson, J. E. M., Lyons, M. B., Cornwell, W. K., & Fuller, R. A. (2021). Conservation birding: A quantitative conceptual framework for prioritizing citizen science observations. Biological Conservation, 253. https://doi.org/10.1016/j.biocon.2020.108912
Castell, N., Grossberndt, S., Gray, L., Fredriksen, M. F., Skaar, J. S., & Høiskar, B. A. K. (2021). Implementing Citizen Science in Primary Schools: Engaging Young Children in Monitoring Air Pollution. Frontiers in Climate, 3. https://doi.org/10.3389/fclim.2021.639128
Cerquides, J., Mülâyim, M. O., Hernández-González, J., Shankar, A. R., & Fernandez-Marquez, J. L. (2021). A conceptual probabilistic framework for annotation aggregation of citizen science data. Mathematics, 9(8). https://doi.org/10.3390/math9080875
Chase, S. K., & Levine, A. (2016). A framework for evaluating and designing citizen science programs for natural resources monitoring. Conservation Biology, 30(3), 456-466. https://doi.org/10.1111/cobi.12697
Constant, N., & Roberts, L. (2017). Narratives as a mode of research evaluation in citizen science: Understanding broader science communication impacts. Journal of Science Communication, 16(4), 1-18. https://doi.org/10.22323/2.16040203
Coulson, S., & Woods, M. (2021). Citizen Sensing: An Action-Orientated Framework for Citizen Science. Frontiers in Communication, 6. https://doi.org/10.3389/fcomm.2021.629700
Eagles-Smith, C. A., Willacker, J. J., Nelson, S. J., Flanagan Pritz, C. M., Krabbenhoft, D. P., Chen, C. Y., Ackerman, J. T., Campbell Grant, E. H., & Pilliod, D. S. (2020). A national-scale assessment of mercury bioaccumulation in United States national parks using dragonfly larvae as biosentinels through a citizen-science framework. Environmental Science and Technology, 54(14), 8779-8790. https://doi.org/10.1021/acs.est.0c01255
ECSA (European Citizen Science Association) (2015). Ten Principles of Citizen Science. Berlin. https://doi.org/10.17605/OSF.IO/XPR2N
European Commission (2016). Open innovation, open science, open to the world: A vision for Europe. European Commission, Directorate-General for Research and Innovation.
European Commission (2020). Citizen science and citizen engagement: achievements in Horizon 2020 and recommendations on the way forward, (N, Delaney, editor, Z, Tornasi, editor) Publications Office. https://doi.org/10.2777/05286
Fischer, H., Cho, H., & Storksdieck, M. (2021). Going beyond hooked participants: The nibble-and-drop framework for classifying citizen science participation. Citizen Science: Theory and Practice, 6(1), https://doi.org/10.5334/cstp.350
García-Holgado, A., García-Peñalvo, F. J., & Butler, P. (2020). Technological ecosystems in citizen science: A framework to involve children and young people. Sustainability (Switzerland), 12(5), 1-16. https://doi.org/10.3390/su12051863
Garriga, J., Piera, J., & Bartumeus, F. (2017). A Bayesian framework for reputation in citizen science. CEUR Workshop Proceedings, 1960. http://ceur-ws.org/Vol-1960/paper6.pdf
Goehrke, S. (2020). Making Made Right: This Czech Company Guides Global 3-D Printing Pandemic Response. Forbes. https://www.forbes.com/sites/sarahgoehrke/2020/03/28/making-made-right-this-czech-company-guides-global-3-d-printing-pandemic-response/?sh=21a75e36624b
Groot, B., & Abma, T. (2022). An ethics framework for citizen science and public and patient participation in research. BMC Medical Ethics, 23(1). https://doi.org/10.1186/s12910-022-00761-4
Haklay, M. (2018). Participatory citizen science. In S. Hecker, M. Haklay, A. Bowser, Z. Makuch, J. Vogel, & A. Bonn (Eds.), Citizen Science: Innovation in Open Science, Society and Policy. UCL Press. https://doi.org/10.2307/j.ctv550cf2.11
Hecker, S., Bonney, R., Haklay, M., Hölker, F., Hofer, H., Goebel, C., Gold, M., Makuch, Z., Ponti, M., Richter, A., Robinson, L., Iglesias, J.R., Owen, R., Peltola, T., Sforzi, A., Shirk, J., Vogel, J., Vohland, K., Witt, T., & Bonn, A. (2018). Innovation in Citizen Science – Perspectives on Science-Policy Advances. Citizen Science: Theory and Practice, 3(1), p. 4. https://doi.org/10.5334/cstp.114
Hennig, S., Hölbling, D., Ferber, N., & Tiede, D. (2019). Framework and components for citizen science projects – the citizenmorph project [Rahmenkonzept und komponenten für citizen-science-projekte – das projekt citizenmorph]. AGIT- Journal fur Angewandte Geoinformatik, 5, 2-13. https://doi.org/10.14627/537669001
Hiller, S. E., Whitehead, A., & Kitsantas A. (2019). Enhancing stem motivation through citizen science programs: A framework for educators and researchers. Enhancing STEM Motivation through Citizen Science Programs, 4-26.
Hultquist, C., & Cervone, G. (2017). Citizen monitoring during hazards: validation of Fukushima radiation measurements. GeoJournal, 83, 189–206. https://doi.org/10.1007/s10708-017-9767-x
Hyvönen, E., Rantala, H., Ikkala, E., Koho, M., Tuominen, J., Anafi, B., Thomas S., Wessman A., Oksanen E., Rohiola V., Kuitunen J., & Ryyppö, M. (2021). Citizen science archaeological finds on the Semantic Web: the FindSampo framework. Antiquity, 95(382), e24. https://doi.org/10.15184/aqy.2021.87
Irwin, A. (2018). No PhDs needed: how citizen science is transforming research. Nature. https://doi.org/10.1038/d41586-018-07106-5
Katapally, T. R. (2019). The SMART framework: Integration of citizen science, community-based participatory research, and systems science for population health science in the digital age. JMIR mHealth and uHealth, 7(8). https://doi.org/10.2196/14056
Li, E., Parker, S. S., Pauly, G. B., Randall J. M., Brown B. V., & Cohen, B. S. (2019). An Urban Biodiversity Assessment Framework That Combines an Urban Habitat Classification Scheme and Citizen Science Data. Frontiers in Ecology and Evolution, 7. https://doi.org/10.3389/fevo.2019.00277
Lotfian, M., Ingensand, J., & Brovelli, M. A. (2020). A framework for classifying participant motivation that considers the typology of citizen science projects. ISPRS International Journal of Geo-Information, 9(12). https://doi.org/10.3390/ijgi9120704
McCurdy, A., & Vinogradova-Shiffer, N. (2021). Advancing Ocean Science Through Open Science and Software on the Cloud. Marine Technology Society Journal, 55(3), pp. 146-147(2). Marine Technology Society. https://doi.org/10.4031/MTSJ.55.3.25
Miranda, J., Ramírez-Montoya, M. S., & Molina, A. (2021). Education 4.0 Reference Framework for the Design of Teaching-Learning Systems: Two Case Studies Involving Collaborative Networks and Open Innovation. Smart and Sustainable Collaborative Networks 4.0. Springer. https://doi.org/10.1007/978-3-030-85969-5_65
MSCA (2022). MSCA 25 ans: Next-generation MSCA: opening a new era for change. Marie Sklodowska-Curie Actions. PSL Université Paris. https://psl.eu/msca-conference-next-generation-msca-opening-new-era-change
Nardi, F., Cudennec, C., Abrate, T., Allouch, C., Annis, A., Assumpção, T., Aubert, A. H., Bérod, D., Braccini, A. M., Buytaert, W., Dasgupta, A., Hannah, D. M., Mazzoleni, M., Polo, M. J., Sæbø, Ø., Seibert, J., Tauro, F., Teichert, F., Teutonico, R., Uhlenbrook, S., Wahrmann Vargas, C., & Grimaldi, S. (2021). Citizens AND Hydrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2020.1849707
Nesbit, P. R., Boulding, A. D., Hugenholtz, C. H., Durkin, P. R., & Hubbard, S. M. (2020). Visualization and sharing of 3D digital outcrop models to promote open science. GSA Today, 30(6). https://doi.org/10.1130/GSATG425GW.1
Pandya, R. E. (2012). A framework for engaging diverse communities in Citizen science in the US. Frontiers in Ecology and the Environment, 10(6), 314-317. https://doi.org/10.1890/120007
Paul, J. D., Bee, E., & Budimir, M. (2021). Mobile phone technologies for disaster risk reduction. Climate Risk Management, 32. https://doi.org/10.1016/j.crm.2021.100296
Peel, J. (2020). The 'rights' way to democratize the science-policy interface in international environmental law? A reply to Anna-Maria Hubert. The European Journal of International Law, 31(2). https://doi.org/10.1093/ejil/chaa042
Ramírez-Montoya, M. S., Castillo-Martínez, I. M., Sanabria-Z, J., & Miranda, J. (2022). Complex Thinking in the Framework of Education 4.0 and Open Innovation — A Systematic Literature Review. Journal of Open Innovation: Technology, Market, and Complexity, 8(4). https://doi.org/10.3390/joitmc8010004
Reed, J., Rodriguez, W., & Rickhoff, A. (2012). A framework for defining and describing key design features of virtual citizen science projects. ACM International Conference Proceeding Series. 623-625. https://doi.org/10.1145/2132176.2132314
Resnik, D. B., Elliott, K. C., & Miller, A. K. (2015). A framework for addressing ethical issues in citizen science. Environmental Science and Policy, 54, 475-481. https://doi.org/10.1016/j.envsci.2015.05.008
Robinson, K. L., Luo, J. Y., Sponaugle, S., Guigand, C., & Cowen, R. K. (2017). A Tale of Two Crowds: Public Engagement in Plankton Classification. Front. Mar. Sci. 4:82. https://doi.org/10.3389/fmars.2017.00082
Ruiz-Mallén, I., Riboli-Sasco, L., Ribrault, C., Heras, M., Laguna, D., & Perié, L. (2016). Citizen Science: Toward Transformative Learning. Science Communication, 38(4), 523-534. https://doi.org/10.1177/1075547016642241
Sarango-Lapo, C. P., Mena, J., & Ramírez-Montoya, M. S. (2017). Teachers’ Digital Skills training by using the Educational Innovation based on Evidence methodology (EIBE). In J. Mena, A. García-Valcárcel, F. García-Peñalvo, M. Martín (Eds.), Search and Research: Teacher Education for Contemporary Contexts. Editions Universidad de Salamanca. 1005–1014.
Sarango-Lapo, C. P., Mena, J. J., & Ramírez-Montoya, M. S. (2021). Evidence-based educational innovation model in the framework of Education 4.0: promoting digital information competencies for teachers. Sustainability, 13(18), 10034. https://doi.org/10.3390/su131810034
Schwab, K. (2015). The Fourth Industrial Revolution. World Economic Forum.
Spasiano, A., Grimaldi, S., Braccini, A. M., Nardi, F. (2021). Towards a transdisciplinary theoretical framework of citizen science: results from a meta-review analysis. Sustainability (Switzerland), 13(14). https://doi.org/10.3390/su13147904
Strasser, J., Baudry, J., Mahr, D., Sanchez, G., & Tancoigne, E. (2019). "Citizen Science"? Rethinking Science and Public Participation. Science & Technology Studies, 32(2), 52-76. https://doi.org/10.23987/sts.60425
Stubbs, J., Cardone, R., Packard, M., Jamthe, A., Padhy, S., Terry, S., Looney, J., Meiring, J., Black, S., Dahan, M., Cleveland, S., & Jacobs, G., (2021). Tapis: An API Platform for Reproducible, Distributed Computational Research. In K. Arai K. (Ed.), Advances in Information and Communication. FICC 2021. Advances in Intelligent Systems and Computing, vol 1363. Springer, Cham. https://doi.org/10.1007/978-3-030-73100-7_61
Tancoigne, E. (2017). Four things Twitter tells us about "Citizen Science" (and 1,000 things it doesn't). http://citizensciences.net/2017/01/26/4-things-twitter-tells-us-about-citizen-science/
Teng, W., & Albayrak, A. (2017). Framework for processing citizen science data for applications to NASA earth science missions. IGTF 2017 - Imaging and Geospatial Technology Forum 2017, ASPRS Annual Conference. https://ntrs.nasa.gov/citations/20170002319
UNDAF (2016). Theory of Change Concept Note. United Nations Development Group Latin America and the Caribbean. https://unsdg.un.org/sites/default/files/16.-2016-10-18-Guidance-on-ToC-PSG-LAC.pdf
UNDAF (2017). Theory of Change UNDAF Companion Guidance. United Nations Sustainable Development Group. https://unsdg.un.org/sites/default/files/UNDG-UNDAF-Companion-Pieces-7-Theory-of-Change.pdf
UNEP (2019). The untapped potential of citizen science to track progress on the Sustainable Development Goals. UN Environment Programme. https://www.unep.org/news-and-stories/story/untapped-potential-citizen-science-track-progress-sustainable-development
UNESCO (2021a). UNESCO Recommendation on Open Science. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000379949.locale=en
UNESCO (2021b). UNESCO SCIENCE REPORT: The race against time for smarter development. UNESCO, pp. 12-16. https://unesdoc.unesco.org/ark:/48223/pf0000377447?13=null&queryId=2a545ebd-33c2-4993-8e0a-93af21336ebd
Van Kleek, M., & Simperl, E. (2017). From Crowd to Community: A Survey of Online Community Features in Citizen Science Projects. CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 2137-2152. https://doi.org/10.1145/2998181.2998302
Warnecke, D., Wittstock, R., & Teuteberg, F. (2019). Benchmarking of European smart cities – a maturity model and web-based self-assessment tool. Sustainability Accounting, Management and Policy Journal, 10(4), 654-684. https://doi.org/10.1108/SAMPJ-03-2018-0057
Welvaert, M., & Caley, P. (2016). Citizen surveillance for environmental monitoring: combining the efforts of citizen science and crowdsourcing in a quantitative data framework. SpringerPlus, 5(1), https://doi.org/10.1186/s40064-016-3583-5
Wiggins, A., & Crowston, K. (2011). From Conservation to Crowdsourcing: A Typology of Citizen Science. Proceedings of the 44th Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2011.207
Yang, D., Wan, H. Y., Huang, T.-K., & Liu, J. (2019). The role of citizen science in conservation under the telecoupling framework. Sustainability (Switzerland), 11(4). https://doi.org/10.3390/su11041108
Zourou, K., & Tseliou, A. (2020). Academia permeating society through Citizen Science: Recommendations for Higher Education Institutions. INOS consortium. In T. Gibson, S. J. Murray, S. Erdelez, B. A. Disney, & B. Greenspan (2018), Digital humanities, libraries, and crowdsourcing: Foundations of digital textual technologies. Proceedings of the Association for Information Science and Technology, 55(1), 808-810. https://doi.org/10.1002/pra2.2018.14505501126