2026-06-08T00:21:21Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/1340282026-03-17T00:55:37Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author de Jager, Lynn A. author Bal, Michèlle author Baudena, Mara author van den Broek, Karlijn L. author Davis, Natalie author Dijkstra, Henk A. author Dorresteijn, Ine author Kamphuis, Carlijn B. M. author Lykourentzou, Ioanna author García Mayor, Ángeles Pilar author Omodei, Elisa author Alvial Palavicino, Carla author Stok, Marijn author van Bruggen, Anne R. author Wieners, Claudia E. author Zimmermann, Silja author Dermody, Brian J. 2026-03-16T15:00:00Z 2026-03-16T15:00:00Z 2025-08-23 De Jager, L. A., Bal, M., Baudena, M., Van Den Broek, K. L., Davis, N., Dijkstra, H. A., Dorresteijn, I., Kamphuis, C. B. M., Lykourentzou, I., Mayor, Á. G., Omodei, E., Alvial Palavicino, C., Stok, M., Van Bruggen, A. R., Wieners, C. E., Zimmermann, S., & Dermody, B. J. (2025). Transdisciplinary complexity science: Deepening system understanding for sustainability. Humanities and Social Sciences Communications, 12(1384). https://doi.org/10.1057/s41599-025-05548-7 2662-9992 10.1057/s41599-025-05548-7 https://hdl.handle.net/20.500.14352/134028 https://doi.org/10.1057/s41599-025-05548-7 The complex and contextual nature of sustainability challenges demands an approach that integrates quantitative complexity science with transdisciplinary approaches to create an integrated understanding of system change. We present a systematic literature analysis from an emerging field we term Transdisciplinary Complexity Science for Sustainability and derive best practices for how this research approach can foster learning and action for sustainability. Based on our analyses, we identify key areas for future research and provide concrete recommendations for carrying out Transdisciplinary Complexity Science for Sustainability. eng Attribution-NonCommercial-NoDerivatives 4.0 International Transdisciplinary complexity science: deepening system understanding for sustainability journal article 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URL https://docta.ucm.es/bitstreams/ad957014-3d26-4888-91dc-433162937fb3/download File MD5 2620ac880cec3a7805b8cb1950d4df1b 1335678 application/pdf s41599-025-05548-7.pdf