Research publications

I work in several areas, so I've clustered my research papers by topic: crowds, synthetic biology/cellular computing, DNA/molecular computing, nature-inspired algorithms, education and public engagement, computational theory.

Amos, M. & Webster, J. (2022) Crowd-sourced identification of characteristics of collective human motion. Artificial Life 28, 401-422. doi:10.1162/artl_a_00381.

Kinateder, M., Ma, C., Gwynne, S., Amos, M. & Benichou, N. (2021) Where drills differ from evacuations: A case study on Canadian buildings. Safety Science 135, 105114. doi:10.1016/j.ssci.2020.105114.

Webster, J. & Amos, M. (2021) Identification of lifelike characteristics of human crowds through a classification task. Proc. Conference on Artificial Life (ALIFE2021), Prague, Czech Republic, Jul. 19-23 2021, MIT Press. doi:10.1162/isal_a_00360.

Amos, M. & Webster, J. (2021) How can we improve realism in crowd simulations? SFPE Europe 22.

Webster, J. & Amos, M. (2020) A Turing test for crowds. Royal Society Open Science 7:200307. doi: 10.1098/rsos.200307.

Gwynne, S., Amos, M., Kinateder, M., Benichou, N., Boyce, K., van der Wal, C.N. & Ronchi, E. (2020) The future of evacuation drills: assessing and enhancing evacuee performance. Safety Science 129. doi: 10.1016/j.ssci.2020.104767.

Amos, M., Benichou, N., Gwynne, S. & Kinateder, M. (2019) NEED: Networking Activities for Enhanced Evacuation Drills - Roadmap for Enhanced Evacuation Drills. National Research Council of Canada Report A1-015092.1. doi: 10.4224/40001242.

Adrian, J., Amos, M., Baratchi, M., et al. (2019) A glossary for research on human crowd dynamics. Collective Dynamics 4, pp. 1-13. doi: 10.17815/CD.2019.19.

Harding, P., Gwynne, S. & Amos, M. (2011) Mutual information for the detection of crush. PLOS ONE 6(12): e28747. doi:10.1371/journal.pone.0028747.

Harding, P.J., Amos, M. & Gwynne, S. (2010) Prediction and mitigation of crush conditions in emergency evacuations. Pedestrian and Evacuation Dynamics 2008, Klingsch, W.W.F., Rogsch, C., Schadschneider, A. and Schreckenberg, M. (Eds.), p.p. 233-246, Springer. doi: 10.1007/978-3-642-04504-2_18.