Arnaud Grignard

City Science
  • Research Scientist

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

Since 2016, Grignard has been a research scientist in the City Science group at the MIT Media Lab working on multiple applications of agent-based modeling theory using evidence-based or data-driven simulations. He is involved with several collaboration within the CityScience Network that include urban land-use modeling, and mobility and hydraulic simulations. In addition, he is one of the main developers of the open source community surrounding the CityScience group.  

 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 Gr… View full description

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

Since 2016, Grignard has been a research scientist in the City Science group at the MIT Media Lab working on multiple applications of agent-based modeling theory using evidence-based or data-driven simulations. He is involved with several collaboration within the CityScience Network that include urban land-use modeling, and mobility and hydraulic simulations. In addition, he is one of the main developers of the open source community surrounding the CityScience group.  

 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 has been one of the principal developers of the GAMA Platform, an agent-based modeling environment for the generation of spatially explicit simulations. During his PhD, he spent 3 years in Hanoi, Vietnam at IRD/UMMISCO working in close collaboration with the Gama Platform team to develop agent-based visualization tools.

Grignard is working on different projects, most that related to the CityScope platform, which has been deployed in the more than 20 cities around the world that makeup the CityScience Network. The CityScope platform is a tangible, interactive urban simulation tool the incorporates agent-based visualization for decision making. His work and research is looking at a novel methodology of interaction and collaboration for CityScope, a data-driven simulation platform to support the understanding of interventions on urban ecosystems prior throughout the design and execution process.

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

CityScope Champs Elysées: An interactive  platform to improve decision-making related to the revitalization of the Champs Élysées

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CityScope Hanoi: Water Management System in the Red River, Hanoi, Vietnam

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Proxymix is studying the influence of spatial configuration on human collaboration. 

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CityScope Lyon: A tangible city simulator monitoring air quality in the city of Lyon.

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CityScope Cooper-Hewitt: The Road Ahead: Reimagining Mobility

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UrbanSwarms: A new approach for autonomous cities 

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CityScope Andorra: A multi-level interactive and tangible agent-based visualization

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Mobility Revolution in the City of Boston in collaboration with BCG

Recent Publications:  Google Scholar Profile 

2020

Baeza, J. L., Noennig, J. R., Weber, V., Grignard, A., Noyman, A., Larson, K., ... & Baldauf, U. (2020). Mobility Solutions for Cruise Passenger Transfer: An Exploration of Scenarios Using Agent-Based Simulation Models. In Towards User-Centric Transport in Europe 2 (pp. 89-101). Springer, Cham.

2019

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., Gaudou, B., Grignard, A., Huynh, Q. N., Marilleau, N., Caillou, P., ... & Drogoul, A. (2019). Building, composing and experimenting complex spatial models with the GAMA platform. GeoInformatica23(2), 299-322.

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.

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

01/2020 Ecole de l'Anthropocène, Lyon, France

11/2019 M4WARM, Thuy Loi University, Hanoi, Vietnam 

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