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Mehdi Moussaid

Researcher
+49 30 82406-415
moussaid [at] mpib-berlin [dot] mpg [dot] de
134

Short CV: 

Engineer degree in Computer Science, 2004, University of Nantes
PhD in Cognitive Science, 2010, University of Toulouse & ETH Zürich

Personal homepage with full CV and

http://mehdimoussaid.com

Research Interests: 
  • Collective behaviors
  • Crowd dynamics
  • Self-organization
  • Social influence
  • Pedestrian behavior

Selected Literature: 

Moussaid M, Kämmer J, Analytis P, Neth H (2013) Social influence and the collective dynamics of opinion formation. PLoS ONE 8(11): e78433

Moussaid M, Helbing D, Theraulaz G (2011) How simple rules determine pedestrian behavior and crowd disasters. Proceeding of the National Academy of Science USA 108: 6884–6888

Moussaïd M, Perozo N, Garnier S, Helbing D, Theraulaz G (2010) The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics. PLoS ONE 5(4): e10047

Moussaïd M, Garnier S, Theraulaz G, Helbing D (2009) Collective information processing and pattern formation in Swarms, Flocks and Crowds. Topics in Cognitive Science, 1:3, 469-497

Moussaïd M, Helbing D, Garnier S, Johansson A, Combe M, et al. (2009) Experimental study of the behavioural mechanisms underlying self-organization in human crowds. Proceedings of the Royal Society B 276: 2755–2762

open all Curriculum Vitae

zuklappen Publications

Moussaïd, M., Campero, A. N., & Almaatouq, A. (2018). Dynamical networks of influence in small group discussions. PLoS ONE, 13(1):e0190541. doi:10.1371/journal.pone.0190541
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Moussaïd, M., Schinazi, V. R., Kapadia, M., & Thrash, T. (2018). Virtual sensing and virtual reality: How new technologies can boost research on crowd dynamics. Frontiers in Robotics and AI, 5:82. doi:10.3389/frobt.2018.00082
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Analytis, P. P., Delfino, A., Kämmer, J., Moussaïd, M., & Joachims, T. (2017). Ranking with social cues: Integrating online review scores and popularity information. arXiv, 1704.01213.
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Analytis, P. P., Stojic, H., Gelastopoulos, A., & Moussaïd, M. (2017). Diversity of preferences can increase collective welfare in sequential exploration problems. arXiv, 1703.10970.
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Motsch, S., Moussaïd, M., Guillot, E. G., Moreau, M., Pettré, J., Theraulaz, G., Appert-Rolland, C., & Degond, P. (2017). Forecasting crowd dynamics through coarse-grained data analysis. BioRxiv, 175760. doi:10.1101/175760
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Moussaïd, M., Herzog, S. M., Kämmer, J. E., & Hertwig, R. (2017). Reach and speed of judgment propagation in the laboratory. Proceedings of the National Academy of Sciences of the United States of America, 114, 4117-4122. doi:10.1073/pnas.1611998114
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Moussaïd, M., Kapadia, M., Thrash, T., Sumner, R. W., Gross, M., Helbing, D., & Hölscher, C. (2016). Crowd behaviour during high-stress evacuations in an immersive virtual environment. Journal of the Royal Society Interface, 13(122):20160414. doi:10.1098/rsif.2016.0414
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Moussaïd, M., & Seyed Yahosseini, K. (2016). Can simple transmission chains foster collective intelligence in binary-choice tasks? PLoS ONE, 11(11):e0167223. doi:10.1371/journal.pone.0167223
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Moussaïd, M., & Trauernicht, M. (2016). Patterns of cooperation during collective emergencies in the help-or-escape social dilemma. Scientific Reports, 6:33417. doi:10.1038/srep33417
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Analytis, P. P., Stojic, H., & Moussaïd, M. (2015). The collective dynamics of sequential search in markets for cultural products (SFI Working Paper No. 2015-06-023). Santa Fe, CA: Santa Fe Institute.
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Helbing, D., Brockmann, D., Chadefaux, T., Donnay, K., Blanke, U., Woolley-Meza, O., Moussaid, M., Johansson, A., Krause, J., Schutte, S., & Perc, M. (2015). Saving human lives: What complexity science and information systems can contribute. Journal of Statistical Physics, 158, 735-781. doi:10.1007/s10955-014-1024-9
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Moussaid, M., Brighton, H., & Gaissmaier, W. (2015). The amplification of risk in experimental diffusion chains. Proceedings of the National Academy of Sciences of the United States of America, 112, 5631-5636. doi:10.1073/pnas.1421883112
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Thrash, T., Kapadia, M., Moussaïd, M., Wilhelm, C., Helbing, D., Sumner, R. W., & Holscher, C. (2015). Evaluation of control interfaces for desktop virtual environments. Presence: Teleoperators and Virtual Environments, 24, 322-334. doi:10.1162/PRES_a_00237

Analytis, P. P., Moussaïd, M., Artinger, F., Kämmer, J. E., & Gigerenzer, G. (2014). "Big data" needs an analysis of decision processes [Open peer commentary]. Behavioral and Brain Sciences, 37, 76-78. doi:10.1017/S0140525X13001659
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Moussaïd, M., & Nelson, J. D. (2014). Simple heuristics and the modelling of crowd behaviours. In U. Weidmann, U. Kirsch, & M. Schreckenberg (Eds.), Pedestrian and Evacuation Dynamics 2012 (pp. 75-90). Cham: Springer. doi:10.1007/978-3-319-02447-9_5
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Degond, P., Appert-Rolland, C., Moussaïd, M., Pettré, J., & Theraulaz, G. (2013). A hierarchy of heuristic-based models of crowd dynamics. Journal of Statistical Physics, 152, 1033-1068. doi:10.1007/s10955-013-0805-x
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Moussaïd, M. (2013). Opinion formation and the collective dynamics of risk perception. PLoS ONE, 8(12): e84592. doi:10.1371/journal.pone.0084592
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Moussaïd, M., Kämmer, J. E., Analytis, P. P., & Neth, H. (2013). Social influence and the collective dynamics of opinion formation. PLoS ONE, 8(11): e78433. doi:10.1371/journal.pone.0078433
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Moussaid, M., Guillot, E. G., Moreau, M., Fehrenbach, J., Cahbiron, O., Lemercier, S., Pettré, J., Appert-Rolland, C., Degond, P., & Theraulaz, G. (2012). Traffic instabilities in self-organized pedestrian crowds. PLoS Computational Biology, 8(3):e1002442. doi:10.1371/journal.pcbi.1002442
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