Arnaud Grignard

City Science
  • Research Scientist

Arnaud Grignard is a computer scientist specializing in complex systems modeling and information visualization. He gets his PhD in Computer Science from l'université Pierre et Marie Curie-UPMC in 2015 where he developed a new approach called agent-based visualization to handle real-time visualization tasks applied both to data and simulation outputs

Since 2016, he is a research scientist in the City Science research group at the MIT Media Lab working on different fields of application of agent-based modeling theory using an evidence-based data-driven approach. He is involved in different collaboration among the CityScience Network. He is one of the main developers fo the open source community around CityScience.  

 His  research has been applied  in many different contexts, namely university research laboratories (MIT Media Lab, CNRS, ENS Lyon, UPMC), public health research departments (IRD, UNDP, Pasteur Institute), and within IT companies (Philips Research, Boston Consulting Group, Bouygues, Wanxiang).

Since 2011, Grignard is one of the main developers of the … View full description

Arnaud Grignard is a computer scientist specializing in complex systems modeling and information visualization. He gets his PhD in Computer Science from l'université Pierre et Marie Curie-UPMC in 2015 where he developed a new approach called agent-based visualization to handle real-time visualization tasks applied both to data and simulation outputs

Since 2016, he is a research scientist in the City Science research group at the MIT Media Lab working on different fields of application of agent-based modeling theory using an evidence-based data-driven approach. He is involved in different collaboration among the CityScience Network. He is one of the main developers fo the open source community around CityScience.  

 His  research has been applied  in many different contexts, namely university research laboratories (MIT Media Lab, CNRS, ENS Lyon, UPMC), public health research departments (IRD, UNDP, Pasteur Institute), and within IT companies (Philips Research, Boston Consulting Group, Bouygues, Wanxiang).

Since 2011, Grignard is one of the main developers of the GAMA Platform, a modeling and simulation development environment for building spatially explicit, agent-based simulations. During his PhD he spent 3 years in Hanoi, Vietnam at IRD/UMMISCO working in close collaboration with the Gama Platform team to implement  his agent-based visualization approach.

Arnaud is working on different projects, most of them related to the CityScope project, developed and deployed in the different cities of the CityScience Network  through a multi-level interactive and tangible, agent-based visualization. He develops  a novel methodology of interaction and collaboration embedded in the MIT CityScope framework , a data-driven platform that simulates the impacts of interventions on urban ecosystems prior to detail-design and execution.

This framework used for civic engagement, urban development, and decision making enables the creation of  an artificial micro-world, which allows the modeler to create and modify new urban scenarios in an iterative and dynamic evidence-based process. This not only helps to better understand the impact of new policies on a city, but also fosters a better informed discussion of different futures. 

Recent Work

Recent Publications:  Google Scholar Profile 

2019

Taillandier, P., Grignard, A., Marilleau, N., Philippon, D., Huynh, Q. N., Gaudou, B., & Drogoul, A. (2019). Participatory Modeling and Simulation with the GAMA platform. Journal of Artificial Societies and Social Simulation22(2), 1-3.

Doorley, R., Noyman, A., Xiong, Z., Alonso, L., Grignard, A., & Larson, K. (2019, May). RevUrb: Understanding Urban Activity and Human Dynamics through Point Process Modelling of Telecoms Data. In 2019 Smart City Symposium Prague (SCSP) (pp. 1-6). IEEE.

Noyman, A., Doorley, R., Xiong, Z., Alonso, L., Grignard, A., & Larson, K. (2019). Reversed urbanism: Inferring urban performance through behavioral patterns in temporal telecom data. Environment and Planning B: Urban Analytics and City Science46(8), 1480-1498.

Alfeo, A. L., Ferrer, E. C., Carrillo, Y. L., Grignard, A., Pastor, L. A., Sleeper, D. T., ... & Dorigo, M. (2019, May). Urban Swarms: A new approach for autonomous waste management. In 2019 International Conference on Robotics and Automation (ICRA) (pp. 4233-4240). IEEE.

Taillandier, P., Grignard, A., Marilleau, N., Philippon, D., Huynh, Q. N., Gaudou, B., & Drogoul, A. (2019). Participatory Modeling and Simulation with the GAMA platform. Journal of Artificial Societies and Social Simulation22(2), 1-3.

2018

Taillandier, P., Gaudou, B., Grignard, A., Huynh, Q. N., Marilleau, N., Caillou, P., ... & Drogoul, A. (2018). Building, composing and experimenting complex spatial models with the GAMA platform. GeoInformatica, 1-24.

Marrocco, L., Ferrer, E. C., Bucchiarone, A., Grignard, A., Alonso, L., & Larson, K. (2018, July). BASIC: Towards a Blockchained Agent-Based SImulator for Cities. In International Workshop on Massively Multiagent Systems (pp. 144-162). Springer, Cham.

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.

2017

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.

Huynh, N. Q., Nguyen-Huu, T., Grignard, A., Huynh, H. X., & Drogoul, A. (2017). Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model. EAI Endorsed Trans. Context-aware Syst. & Appl.4(11), e1.

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

10/2019: City Science Summit 2019, Hafencity University, Germany

09/2019 Global Grand Challenges Satellite-Summit, Guadalajara, Mexico

07/2019 5G Cities: Transformation is coming, Mobile Talks, Movistar Center, Barcelona, Spain 

06/2019 CityScience Lab , Tongji University, Shanghai, China

06/2019 World Transport Convention, Beijing, China

05/2019 UMMISCO Vietnam, WARM, Hanoi, Vietnam

04/2019 Institut des Systèmes Complexes, Lyon, France

02/2019 Ecole Urbain de Lyon , France

01/2019 CityScience Lab, Hafencity University, Hamburg, Germany 

11/2018 Universidad de Guadalajara, Mexico

07/2018 ICCS 2018, Cambridge, USA

07/2018 AAMAS 2018, Stockholm, Sweden

06/2018 Beyond Smart Cities Course - MIT Professional Education, Cambridge, USA

05/2018 City Science Summit 2018 Shanghai, China

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

09/2017 Game IT Workshop, Lyon, France

09/2017 City Science Summit 2018, Andorra

07/2017 Emerging World, Mumbai, India

06/2017  Beyond Smart Cities Course - MIT Professional Education , Cambridge, USA

01/2017 MIT Media Lab Sponsor visit, Tokyo, Japan

09/ 2016 Smart City Expo Barcelona, Spain

Related Work