Fig.1 — Agent-based modeling of a crowd of citizens interacting on an urban infrastructure network.

It is usually asserted that higher-density cities are more sustainable than low-density cities since they reduce significantly the length of public systems networks and the need for motorized transportation. But this assertion remains contested in urban planning theory: a direct correlation between urban density and air pollution has been established…

My last study consisted in profiling stakeholders engaged in decision-making for smart-city from graph-based analysis of representative social networks. In “SOCIAL NETWORK ANALYSIS : Classifying Citizen Engagement in Smart-City with Graph-Based Machine Learning. I spotted that the popularity indicators are not directly correlated to the activity on the social networks…

I am investigating civic technologies and decision-making in smart-cities, in order to enlighten the urban professionals of all field on the state of the art of citizen-led initiatives for future planning. In this article, I keep developing my Artificial Intelligence for Smart-City by adding a predictive model for lexical content.

Julien Carbonnell

Civic Technology and Smart-City. Data analysis, Machine Learning, Social Network Analysis, Computer Simulations. Project lead @ Democracy Studio

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