Jan Nagler
Associate Professor für Computer Science • Professor/-in
Associate Professor für Computer Science
Jan Nagler studierte Physik an der Christian-Albrechts-Universität zu Kiel und schloss seine Promotion an der Universität Bremen mit einer Dissertation im Bereich der Dynamischen Systeme über chaotische Himmelsmechanik ab. Seine wissenschaftlichen Stationen umfassen die Boston University, USA, mit Forschungsprojekten im Bereich komplexer Netzwerke und Finanzphysik, das Max Planck Institut für Dynamik und Selbst-Organisation in Göttingen, und der ETH Zürich und dem ETH Risk Center in der Schweiz. Von 2016 bis 2022 war er Vize-Präsident der Sozioökonomischen Division der Deutschen Physikalischen Gesellschaft.
Seine Forschung umfasst das Verständnis und die Kontrolle von vernetzten stochastischen Systemen im Spannungsfeld zwischen Physik, Biologie und sozioökonomischen Systemen, wie zum Beispiel Spieltheorie und Phasenübergängen, Ergodizitätsbrechung und Risiko und Überleben in fluktuierenden Umgebungen.
In 2018 folgte Jan Nagler einem Ruf an die Frankfurt School und dem Centre for Human and Machine Intelligence als Leiter der Deep Dynamics Group, die versucht, ein umfassendes Verständnis von komplexen Systemen in den Bereichen der Finanzdynamik, Ökonomie, Ökologie, Physik und von sozioökonomischer Systemen zu erzielen – mit Fokus auf Netzwerkdynamik und vernetzten sozioökonomischen Systemen.
Seit 2023 ist Jan Nagler der Direktor des Centre for Human and Machine Intelligence.
Die Gruppe greift Probleme mit interdisziplinär-erklärenden Methoden an, welche die grundlegenden Mechanismen und Prinzipien freilegt (explanatory modelling), aber kombiniert diese Ansätze auch mit Deep-Learning-Methoden, die zur Vorhersage dienen (predictive modelling). Die Deep Dynamics Group versucht ethisch-verantwortungsvolle Analyse- und Design-Prinzipien umzusetzen, wie zum Beispiel mit Hilfe von transparent-erklärender und sozial-verantwortlicher künstlicher Intelligenz.
Seine Forschung umfasst das Verständnis und die Kontrolle von vernetzten stochastischen Systemen im Spannungsfeld zwischen Physik, Biologie und sozioökonomischen Systemen, wie zum Beispiel Spieltheorie und Phasenübergängen, Ergodizitätsbrechung und Risiko und Überleben in fluktuierenden Umgebungen.
In 2018 folgte Jan Nagler einem Ruf an die Frankfurt School und dem Centre for Human and Machine Intelligence als Leiter der Deep Dynamics Group, die versucht, ein umfassendes Verständnis von komplexen Systemen in den Bereichen der Finanzdynamik, Ökonomie, Ökologie, Physik und von sozioökonomischer Systemen zu erzielen – mit Fokus auf Netzwerkdynamik und vernetzten sozioökonomischen Systemen.
Seit 2023 ist Jan Nagler der Direktor des Centre for Human and Machine Intelligence.
Die Gruppe greift Probleme mit interdisziplinär-erklärenden Methoden an, welche die grundlegenden Mechanismen und Prinzipien freilegt (explanatory modelling), aber kombiniert diese Ansätze auch mit Deep-Learning-Methoden, die zur Vorhersage dienen (predictive modelling). Die Deep Dynamics Group versucht ethisch-verantwortungsvolle Analyse- und Design-Prinzipien umzusetzen, wie zum Beispiel mit Hilfe von transparent-erklärender und sozial-verantwortlicher künstlicher Intelligenz.
- Computational Science & Philosophy Department
- Professor/-in
- Fakultät
VERÖFFENTLICHUNGEN
Ji, P., Nagler, J., Perc, M., Small, M., Xiao, J., 2024. Focus on the disruption of networks and system dynamics, Chaos: An Interdisciplinary Journal of Nonlinear Science Vol. 34(8, 080401).
Ji, P., Wang, Y., Peron, T., Li, C., Nagler, J., Du, J., 2023. Structure and function in artificial, zebrafish and human neural networks, Physics of Life Reviews Vol. 45, S. 74-111.
Luo, Z., Chen, W., Nagler, J., 2023. Universality of explosive percolation under product and sum rule, Physical Review E Vol. 108(3, Art. 034108).
Bao, X., Hu, Q., Ji, P., Lin, W., Kurths, J., Nagler, J., 2022. Impact of basic network motifs on the collective response to perturbations, Nature Communications Vol. 13(Art. 5301).
Böttcher, L., Nagler, J., 2021. Decisive conditions for strategic vaccination against SARS-CoV-2, Chaos: An Interdisciplinary Journal of Nonlinear Science Vol. 31(Article-No. 101105).
Fan, J., Meng, J., Liu, Y., Saberi, A., Kurths, J., Nagler, J., 2020. Universal gap scaling in percolation, Nature Physics Vol. 16, S. 455-461.
D'Souza, R., Gómez-Gardeñes, J., Nagler, J., Arenas, A., 2019. Explosive phenomena in complex networks, Advances in Physics Vol. 68(3), S. 123-223.
Zotos, E., Nagler, J., 2019. On the classification of orbits in the three-dimensional Copenhagen problem with oblate primaries, International Journal of Non-Linear Mechanics Vol. 108, S. 55-71.
Zotos, E., Dubeibe, F., Nagler, J., Tejeda, E., 2019. Orbit classification in a pseudo-Newtonian Copenhagen problem with Schwarzschild-like primaries, Monthly Notices of the Royal Astronomical Society Vol. 487(2), S. 2340-2353.
Timme, M., Nagler, J., 2019. Propagation patterns unravelled, Nature Physics Vol. 15, S. 308-309.
Zimmer, P., Kruse, K., Nagler, J., 2018. Anomalous percolation features in molecular evolution, Physical Review E Vol. 98(2).
Schröder, M., Nagler, J., Timme, M., Witthaut, D., 2018. Hysteretic percolation from locally optimal individual decisions, Physical Review Letters Vol. 120(24).
Stollmeier, F., Nagler, J., 2018. Unfair and anomalous evolutionary dynamics from fluctuating payoffs, Physical Review Letters Vol. 120(5).
Schröder, M., Araujo, N., Sornette, D., Nagler, J., 2017. Controlling percolation with limited resources, Physical Review E Vol. 96(6).
Böttcher, L., Nagler, J., Herrmann, H., 2017. Critical behaviors in contagion dynamics, Physical Review Letters Vol. 118(8).
Böttcher, L., Lukovic, M., Nagler, J., Havlin, S., Herrmann, H., 2017. Failure and recovery in dynamical networks, Scientific Reports Vol. 7.
Schröder, M., Chen, W., Nagler, J., 2016. Discrete scale invariance in supercritical percolation, New Journal of Physics Vol. 18.
Verma, T., Russmann, F., Araujo, N., Nagler, J., Herrmann, H., 2016. Emergence of core - peripheries in networks, Nature Communications Vol. 7.
Böttcher, L., Araujo, N., Nagler, J., Mendes, J., Helbing, D., Herrmann, H., 2016. Gender Gap in the ERASMUS Mobility Program, PLoS ONE Vol. 11(2).
Cho, Y., Mazza, M., Kahng, B., Nagler, J., 2016. Genuine non-self-averaging and ultraslow convergence in gelation, Physical Review E Vol. 94(2).
Schröder, M., Chakraborty, S., Witthaut, D., Nagler, J., 2016. Interaction Control to Synchronize Non-synchronizable Networks, Scientific Reports Vol. 6.
Verma, T., Araujo, N., Nagler, J., Andrade Jr., J., Herrmann, H., 2016. Model for the growth of the world airline network, International Journal of Modern Physics C Vol. 27(12).
Böttcher, M., Nagler, J., 2016. Promotion of cooperation by selective group extinction, New Journal of Physics Vol. 18.
Saberi, A., Ebrahimnazhad Rahbari, S., Dashti-Naserabadi, H., Abbasi, A., Cho, Y., Nagler, J., 2016. Universality in boundary domain growth by sudden bridging, Scientific Reports Vol. 6.
D'Souza, R., Nagler, J., 2015. Anomalous critical and supercritical phenomena in explosive percolation, Nature Physics Vol. 11, S. 531-538.
Lamouroux, D., Nagler, J., Geisel, T., Eule, S., 2015. Paradoxical effects of coupling infectious livestock populations and imposing transport restrictions, Proceedings of the Royal Society B: Biological Sciences Vol. 282(1800).
Zhu, K., Li, W., Fu, X., Nagler, J., 2014. How Do Online Social Networks Grow?, PLoS ONE Vol. 9(6).
Chen, W., Schröder, M., D'Souza, R., Sornette, D., Nagler, J., 2014. Micro-transition cascades to percolation, Physical Review Letters Vol. 112(15).
Stollmeier, F., Geisel, T., Nagler, J., 2014. Possible Origin of Stagnation and Variability of Earth's Biodiversity, Physical Review Letters Vol. 112(22).
Schröder, M., Ebrahimnazhad Rahbari, S., Nagler, J., 2013. Crackling noise in fractional percolation, Nature Communications Vol. 4.
Chen, W., Nagler, J., Cheng, X., Jin, X., Shen, H., Zheng, Z., D'Souza, R., 2013. Phase transitions in supercritical explosive percolation, Physical Review E Vol. 87(5).
Chen, W., Cheng, X., Zheng, Z., Chung, N., D'Souza, R., Nagler, J., 2013. Unstable supercritical discontinuous percolation transitions, Physical Review E Vol. 88(4).
Nagler, J., Tiessen, T., Gutch, H., 2012. Continuous Percolation with Discontinuities, Physical Review X Vol. 2(3).
Lamouroux, D., Eule, S., Geisel, T., Nagler, J., 2012. Discriminating the effects of spatial extent and population size in cyclic competition among species, Physical Review E Vol. 86.
Uppaluri, S., Nagler, J., Stellamanns, E., Heddergott, N., Herminghaus, S., Engstler, M., Pfohl, T., 2011. Impact of Microscopic Motility on the Swimming Behavior of Parasites: Straighter Trypanosomes are More Directional, PLOS Computational Biology Vol. 7(6).
Nagler, J., Levina, A., Timme, M., 2011. Impact of single links in competitive percolation, Nature Physics Vol. 7(3), S. 265-270.
Hennig, H., Fleischmann, R., Fredebohm, A., Hagmayer, Y., Nagler, J., Witt, A., Theis, F., Geisel, T., 2011. The Nature and Perception of Fluctuations in Human Musical Rhythms, PLoS ONE Vol. 6(10).
Nagler, J., Richter, P., 2010. Simple model for dice loading, New Journal of Physics Vol. 12.
Nagler, J., Richter, P., 2008. How random is dice tossing?, Physical Review E Vol. 78(3).
Nagler, J., Krieger, M., Linke, M., Wiersig, J., 2007. Leaking Billiards, Physical Review E Vol. 75(4).
Nagler, J., Claussen, J., 2005. 1/f^alpha spectra in elementary cellular automata and fractal signals, Physical Review E Vol. 71(6).
Nagler, J., 2005. Crash test for the restricted three-body problem, Physical Review E Vol. 71(2).
Nagler, J., 2005. Directed and undirected multiurn models in a one-dimensional ring, Physical Review E Vol. 72(5).
Nagler, J., 2004. Crash test for the Copenhagen problem, Physical Review E Vol. 69(6).
Hauert, C., Nagler, J., Schuster, H., 2004. Of dogs and fleas: how N uncoupled two state systems behave, Journal of Statistical Physics Vol. 116(5/6), S. 1453-1469.
Claussen, J., Nagler, J., Schuster, H., 2004. Sierpinski signal generates 1/f alpha spectra, Physical Review E Vol. 70(3).
Nagler, J., Hauert, C., Schuster, H., 1999. Self-organized criticality in a nutshell, Physical Review E Vol. 60(3), S. 2706-2709.
Ji, P., Wang, Y., Peron, T., Li, C., Nagler, J., Du, J., 2023. Structure and function in artificial, zebrafish and human neural networks, Physics of Life Reviews Vol. 45, S. 74-111.
Luo, Z., Chen, W., Nagler, J., 2023. Universality of explosive percolation under product and sum rule, Physical Review E Vol. 108(3, Art. 034108).
Bao, X., Hu, Q., Ji, P., Lin, W., Kurths, J., Nagler, J., 2022. Impact of basic network motifs on the collective response to perturbations, Nature Communications Vol. 13(Art. 5301).
Böttcher, L., Nagler, J., 2021. Decisive conditions for strategic vaccination against SARS-CoV-2, Chaos: An Interdisciplinary Journal of Nonlinear Science Vol. 31(Article-No. 101105).
Fan, J., Meng, J., Liu, Y., Saberi, A., Kurths, J., Nagler, J., 2020. Universal gap scaling in percolation, Nature Physics Vol. 16, S. 455-461.
D'Souza, R., Gómez-Gardeñes, J., Nagler, J., Arenas, A., 2019. Explosive phenomena in complex networks, Advances in Physics Vol. 68(3), S. 123-223.
Zotos, E., Nagler, J., 2019. On the classification of orbits in the three-dimensional Copenhagen problem with oblate primaries, International Journal of Non-Linear Mechanics Vol. 108, S. 55-71.
Zotos, E., Dubeibe, F., Nagler, J., Tejeda, E., 2019. Orbit classification in a pseudo-Newtonian Copenhagen problem with Schwarzschild-like primaries, Monthly Notices of the Royal Astronomical Society Vol. 487(2), S. 2340-2353.
Timme, M., Nagler, J., 2019. Propagation patterns unravelled, Nature Physics Vol. 15, S. 308-309.
Zimmer, P., Kruse, K., Nagler, J., 2018. Anomalous percolation features in molecular evolution, Physical Review E Vol. 98(2).
Schröder, M., Nagler, J., Timme, M., Witthaut, D., 2018. Hysteretic percolation from locally optimal individual decisions, Physical Review Letters Vol. 120(24).
Stollmeier, F., Nagler, J., 2018. Unfair and anomalous evolutionary dynamics from fluctuating payoffs, Physical Review Letters Vol. 120(5).
Schröder, M., Araujo, N., Sornette, D., Nagler, J., 2017. Controlling percolation with limited resources, Physical Review E Vol. 96(6).
Böttcher, L., Nagler, J., Herrmann, H., 2017. Critical behaviors in contagion dynamics, Physical Review Letters Vol. 118(8).
Böttcher, L., Lukovic, M., Nagler, J., Havlin, S., Herrmann, H., 2017. Failure and recovery in dynamical networks, Scientific Reports Vol. 7.
Schröder, M., Chen, W., Nagler, J., 2016. Discrete scale invariance in supercritical percolation, New Journal of Physics Vol. 18.
Verma, T., Russmann, F., Araujo, N., Nagler, J., Herrmann, H., 2016. Emergence of core - peripheries in networks, Nature Communications Vol. 7.
Böttcher, L., Araujo, N., Nagler, J., Mendes, J., Helbing, D., Herrmann, H., 2016. Gender Gap in the ERASMUS Mobility Program, PLoS ONE Vol. 11(2).
Cho, Y., Mazza, M., Kahng, B., Nagler, J., 2016. Genuine non-self-averaging and ultraslow convergence in gelation, Physical Review E Vol. 94(2).
Schröder, M., Chakraborty, S., Witthaut, D., Nagler, J., 2016. Interaction Control to Synchronize Non-synchronizable Networks, Scientific Reports Vol. 6.
Verma, T., Araujo, N., Nagler, J., Andrade Jr., J., Herrmann, H., 2016. Model for the growth of the world airline network, International Journal of Modern Physics C Vol. 27(12).
Böttcher, M., Nagler, J., 2016. Promotion of cooperation by selective group extinction, New Journal of Physics Vol. 18.
Saberi, A., Ebrahimnazhad Rahbari, S., Dashti-Naserabadi, H., Abbasi, A., Cho, Y., Nagler, J., 2016. Universality in boundary domain growth by sudden bridging, Scientific Reports Vol. 6.
D'Souza, R., Nagler, J., 2015. Anomalous critical and supercritical phenomena in explosive percolation, Nature Physics Vol. 11, S. 531-538.
Lamouroux, D., Nagler, J., Geisel, T., Eule, S., 2015. Paradoxical effects of coupling infectious livestock populations and imposing transport restrictions, Proceedings of the Royal Society B: Biological Sciences Vol. 282(1800).
Zhu, K., Li, W., Fu, X., Nagler, J., 2014. How Do Online Social Networks Grow?, PLoS ONE Vol. 9(6).
Chen, W., Schröder, M., D'Souza, R., Sornette, D., Nagler, J., 2014. Micro-transition cascades to percolation, Physical Review Letters Vol. 112(15).
Stollmeier, F., Geisel, T., Nagler, J., 2014. Possible Origin of Stagnation and Variability of Earth's Biodiversity, Physical Review Letters Vol. 112(22).
Schröder, M., Ebrahimnazhad Rahbari, S., Nagler, J., 2013. Crackling noise in fractional percolation, Nature Communications Vol. 4.
Chen, W., Nagler, J., Cheng, X., Jin, X., Shen, H., Zheng, Z., D'Souza, R., 2013. Phase transitions in supercritical explosive percolation, Physical Review E Vol. 87(5).
Chen, W., Cheng, X., Zheng, Z., Chung, N., D'Souza, R., Nagler, J., 2013. Unstable supercritical discontinuous percolation transitions, Physical Review E Vol. 88(4).
Nagler, J., Tiessen, T., Gutch, H., 2012. Continuous Percolation with Discontinuities, Physical Review X Vol. 2(3).
Lamouroux, D., Eule, S., Geisel, T., Nagler, J., 2012. Discriminating the effects of spatial extent and population size in cyclic competition among species, Physical Review E Vol. 86.
Uppaluri, S., Nagler, J., Stellamanns, E., Heddergott, N., Herminghaus, S., Engstler, M., Pfohl, T., 2011. Impact of Microscopic Motility on the Swimming Behavior of Parasites: Straighter Trypanosomes are More Directional, PLOS Computational Biology Vol. 7(6).
Nagler, J., Levina, A., Timme, M., 2011. Impact of single links in competitive percolation, Nature Physics Vol. 7(3), S. 265-270.
Hennig, H., Fleischmann, R., Fredebohm, A., Hagmayer, Y., Nagler, J., Witt, A., Theis, F., Geisel, T., 2011. The Nature and Perception of Fluctuations in Human Musical Rhythms, PLoS ONE Vol. 6(10).
Nagler, J., Richter, P., 2010. Simple model for dice loading, New Journal of Physics Vol. 12.
Nagler, J., Richter, P., 2008. How random is dice tossing?, Physical Review E Vol. 78(3).
Nagler, J., Krieger, M., Linke, M., Wiersig, J., 2007. Leaking Billiards, Physical Review E Vol. 75(4).
Nagler, J., Claussen, J., 2005. 1/f^alpha spectra in elementary cellular automata and fractal signals, Physical Review E Vol. 71(6).
Nagler, J., 2005. Crash test for the restricted three-body problem, Physical Review E Vol. 71(2).
Nagler, J., 2005. Directed and undirected multiurn models in a one-dimensional ring, Physical Review E Vol. 72(5).
Nagler, J., 2004. Crash test for the Copenhagen problem, Physical Review E Vol. 69(6).
Hauert, C., Nagler, J., Schuster, H., 2004. Of dogs and fleas: how N uncoupled two state systems behave, Journal of Statistical Physics Vol. 116(5/6), S. 1453-1469.
Claussen, J., Nagler, J., Schuster, H., 2004. Sierpinski signal generates 1/f alpha spectra, Physical Review E Vol. 70(3).
Nagler, J., Hauert, C., Schuster, H., 1999. Self-organized criticality in a nutshell, Physical Review E Vol. 60(3), S. 2706-2709.
Nagler, J., Stollmeier, F., 2019, Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking, in: Complex Networks X: Proceedings of the 10th Conference on Complex Networks CompleNet 2019, Cham: Springer, S. 85-95.
Nagler, J., Hoven, J., Helbing, D., 2018, An Extension of Asimov´s Robotics Laws, in: Dirk Helbing (Hrsg.): Towards Digital Enlightenment, Cham: Springer, S. 41-46.
Chen, X., Nagler, J., Fu, X., 2017, Information dissemination in social-featured opportunistic networks, in: Social Network Analysis: Interdisciplinary Approaches and Case Studies, Boca Raton [u.a.]: CRC Press, S. 309-342.
Zhu, K., Fu, X., Li, W., Lu, S., Nagler, J., 2017, Population growth in online social networks, in: Xiaoming Fu, Jar-Der Luo, Margarete Boos (Hrsg.): Social Network Analysis: Interdisciplinary Approaches and Case Studies, Boca Raton [u.a.]: CRC Press, S. 285-306.
Nagler, J., Richter, P., 2010, How does God play dice?, in: Heinz Georg Schuster (Hrsg.): Reviews of Nonlinear Dynamics and Complexity Vol. 3, Weinheim: Wiley, S. 37-58.
Chen, X., Nagler, J., Fu, X., 2017, Information dissemination in social-featured opportunistic networks, in: Social Network Analysis: Interdisciplinary Approaches and Case Studies, Boca Raton [u.a.]: CRC Press, S. 309-342.
Zhu, K., Fu, X., Li, W., Lu, S., Nagler, J., 2017, Population growth in online social networks, in: Xiaoming Fu, Jar-Der Luo, Margarete Boos (Hrsg.): Social Network Analysis: Interdisciplinary Approaches and Case Studies, Boca Raton [u.a.]: CRC Press, S. 285-306.
Nagler, J., Richter, P., 2010, How does God play dice?, in: Heinz Georg Schuster (Hrsg.): Reviews of Nonlinear Dynamics and Complexity Vol. 3, Weinheim: Wiley, S. 37-58.
Kaufmann, M., Nagler, J., 2023. The Potential of Ridesharing Adoption and its Effects on CO2 Emissions and Customer Experience. (submitted)
SPRECHZEITEN
Während der Vorlesungszeit
Nach Vereinbarung per E-Mail.
Room
A5.00
SPRECHZEITEN
Während der Vorlesungszeit
Nach Vereinbarung per E-Mail.
Room
A5.00