I am looking for a way to prove that Citizen Engagement in Decision-Making is one key success factor for future Smart-City governance. To do so, I have been collecting inhabitants’ participation to a survey study in three case study cities : Taipei (Taiwan), Tel Aviv (Israel) and Tallinn (Estonia).

I…


Fig.1 — Robot arms in a production chain.

In the specific context of an interview by Oliver Mitchell, VC investor at FF Venture Capital, which is also writing from time to time for the Robot Report. …


Fig.1 — It’s proven that nudity gets more clicks on the internet. I hope to hurt no one with this gross marketing strategy.

At least that’s what suggests my lexical analysis of tweets’ content, conducted over 109 smart-cities worldwide. …


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…


In my last research I built a computer simulation of the formation of public opinion from a survey study on citizen engagement in Taipei (Taiwan), Tel Aviv (Israel) and Tallinn (Estonia). AGENT-BASED MODEL : Computer Simulation of Citizen Engagement and the Formation of Public Opinion.


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.


The African continent will host one third of the world population in the next generation and went these last years through social, economical and environmental transformations at a spectacular size and speed. …

Julien Carbonnell

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

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