Arnaud Grignard

City Science
  • Research Scientist

Arnaud Grignard is a computer scientist specialized in complex systems modelling and information visualization. He holds a PhD in Computer Science from l'université Pierre et Marie Curie - UPMC. He is now Research Scientist at the City Science research group at the MIT Media Lab. While working on different fields of application such as multi-level, urban systems and human mobility, he develops a new approach called agent-based visualization to handle real-time visualization tasks applied both to data and simulation outputs. 

Arnaud Grignard is a computer scientist specialized in complex systems modelling and information visualization. He holds a PhD in Computer Science from l'université Pierre et Marie Curie - UPMC. He is now Research Scientist at the City Science research group at the MIT Media Lab. While working on different fields of application such as multi-level, urban systems and human mobility, he develops a new approach called agent-based visualization to handle real-time visualization tasks applied both to data and simulation outputs. 

Recent Work

Recent Publications

Grignard, A., Macià, N., Alonso Pastor, L., Noyman, A., Zhang, Y., & Larson, K. (2018, July). Cityscope andorra: a multi-level interactive and tangible agent-based visualization. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1939-1940). International Foundation for Autonomous Agents and Multiagent Systems.

Zhang, Y., Grignard, A., Lyons, K., Aubuchon, A., & Larson, K. (2018, July). Real-time Machine Learning Prediction of an Agent-Based Model for Urban Decision-making. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (pp. 2171-2173). International Foundation for Autonomous Agents and Multiagent Systems.

Grignard, A., Alonso, L., Taillandier, P., Gaudou, B., Nguyen-Huu, T., Gruel, W., & Larson, K. (2018, July). The Impact of New Mobility Modes on a City: A Generic Approach Using ABM. In International Conference on Complex Systems (pp. 272-280). Springer, Cham.

Alonso, L., Zhang, Y. R., Grignard, A., Noyman, A., Sakai, Y., ElKatsha, M., ... & Larson, K. (2018, July). Cityscope: a data-driven interactive simulation tool for urban design. Use case volpe. In International Conference on Complex Systems (pp. 253-261). Springer, Cham.

Grignard, A., & Drogoul, A. (2017). Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs.

Caillou, P., Gaudou, B., Grignard, A., Truong, C. Q., & Taillandier, P. (2017). A Simple-to-use BDI architecture for Agent-based Modeling and Simulation. In Advances in Social Simulation 2015 (pp. 15-28). Springer, Cham.

Grignard, A., Taillandier, P., Gaudou, B., Vo, D. A., Huynh, N. Q., & Drogoul, A. (2013, December). GAMA 1.6: Advancing the art of complex agent-based modeling and simulation. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 117-131). Springer, Berlin, Heidelberg.

Recent Talks

07/2018 ICCS 2018

07/2018 AAMAS 2018

06/2018 Beyond Smart Cities Course - MIT Professional Education

05/2018 City Science Summit 2018 Shanghai

04/2018 The Society of Autonomous Vehicles - MIT Media Lab

06/2017  Beyond Smart Cities Course - MIT Professional Education 

09/2017 City Science Summit 2018 Andorra

09/ 2016 Smart City Expo Barcelona

Related Work