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Results: 716
Number of items: 716
  • 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
  • Open Access
    Helmus, J. R. (2023). Non-linear dynamics of charging behaviour under growth stress: Data driven computational models. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2023). Promises and pitfalls of computational modelling for insurgency conflicts. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 20(3), 333-350. https://doi.org/10.1177/15485129211073612
  • 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
  • Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13350). Springer. https://doi.org/10.1007/978-3-031-08751-6
  • Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. II, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13351). Springer. https://doi.org/10.1007/978-3-031-08754-7
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