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Results: 719
Number of items: 719
  • Open Access
    Yildirim, V., Sheraton, V. M., Brands, R., Crielaard, L., Quax, R., Riel, N. A. W. V., Stronks, K., Nicolaou, M., & Sloot, P. M. A. (2023). A data-driven computational model for obesity-driven diabetes onset and remission through weight loss. iScience, 26(11), Article 108324. https://doi.org/10.1016/j.isci.2023.108324
  • Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2023). Preface. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. IV, pp. v-vi). (Lecture Notes in Computer Science; Vol. 14076). Springer. https://doi.org/10.1007/978-3-031-36027-5
  • Open Access
    Crielaard, L. (2023). Adapting to the social environment that we create together: How complexity science changes the way we understand health inequalities. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kovalchuk, S. V., de Mulatier, C., Groen, D., Paszyński, M., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2023). The computational planet. Journal of Computational Science, 72, Article 102102. https://doi.org/10.1016/j.jocs.2023.102102
  • Open Access
    Schuurman, A. R., Sloot, P. M. A., Wiersinga, W. J., & van der Poll, T. (2023). Embracing complexity in sepsis. Critical Care, 27, Article 102. https://doi.org/10.1186/s13054-023-04374-0
  • Open Access
    Crielaard, L., Quax, R., Sawyer, A. D. M., Vasconcelos, V. V., Nicolaou, M., Stronks, K., & Sloot, P. M. A. (2023). Using network analysis to identify leverage points based on causal loop diagrams leads to false inference. Scientific Reports, 13(1), Article 21046. https://doi.org/10.1038/s41598-023-46531-z
  • Open Access
    van der Zwet, K. (2023). Computational models of emergent organisation in conflict environments. [Thesis, fully internal, Universiteit van Amsterdam].
  • Brouwer, M. E., Hofstee, L., van den Brand, S., Teijema, J., Melnikov, V., Ferdinands, G., Kramer, B., de Boer, J., Weijdema, F., Lucassen, P., Sloot, P. M., Stronks, K., van Weert, J., Wiers, R., Bockting, C. L. H., Schoot, R. V. D., de Bruin, J., & van Weert, J. (2022). Final data for the mega meta project [Data set]. DANS Data Station Life Sciences. https://doi.org/10.17026/dans-z7w-9446
  • Brouwer, M. E., Hofstee, L., van den Brand, S., Teijema, J., Melnikov, V., Ferdinands, G., Kramer, B., de Boer, J., Weijdema, F., Lucassen, P., Sloot, P. M., Stronks, K., van Weert, J., Wiers, R., Bockting, C., Schoot, R. V. D., & de Bruin, J. (2022). Pre-processing data for the Mega Meta Project [Data set]. DANS Data Station Life Sciences. https://doi.org/10.17026/dans-29d-n6yg
  • Korkmaz, H. I., Niessen, F. B., Pijpe, A., Sheraton, V. M., Vermolen, F. J., Krijnen, P. A. J., Niessen, H. W. M., Sloot, P. M. A., Middelkoop, E., Gibbs, S., & van Zuijlen, P. P. M. (2022). Scar formation from the perspective of complexity science: A new look at the biological system as a whole. Journal of Wound Care, 31(2), 178-184. https://doi.org/10.12968/jowc.2022.31.2.178
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