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 collected 366 answers (122 respondents on each city) taking contact with inhabitants randomly online (Facebook groups, direct messages on LinkedIn and through messaging apps) and in-person, in events related to my field of interest (Smart-City and Urban Innovation Startups).

In this article, I am conducting a complete data analysis on…


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. It suggests that the social reward expected by a user from the other users do not follow a systematic rule, and some external factors might affect the social popularity.

In the following Agent-Based Model I am integrating data from all previous studies of my research : survey, opinion mining and…


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.concludes that the distribution of opinion in a population is very sensitive to the presence of highly engaged citizens benefiting from an experience in political engagement and a social reward such as the social status.

In order to refine my Citizen Engagement model, I have been tempted to conduct a Social Network Analysis on my…


First I would like to thank a lot Gert Jan Hofstede, professor of artificial sociality in Wageningen University & Research, for welcoming me in his course on Agent-Based Modelling of Complex Adaptive Systems last month.
This Open Labs Initiative from the European Social Simulation Association, gave me the opportunity to learn how to design computational social simulations efficiently in order to test my hypotheses on “Citizen Engagement in Smart-City”, the topic of my doctorate degree research in urban science.

In my previous studies, I have validated some hypothesis related to opinion : in DATA SCIENCE: A Ranking Model for Citizen…


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.

To do so, I have been collecting 110,862 tweets (more than 19 Millions of words) over the 109 most advanced Smart-Cities worldwide, ranked by the IMD Smart City Index 2020. The three case studies of my doctorate degree’s thesis are: Taipei (Taiwan), Tel Aviv (Israel) and Tallinn (Estonia). …


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. Trying to understand what makes contemporary Africa, identifying the most relevant African urban and digital developments are inspiring challenges to embrace.

This article has been written in the preparation of a speak given to the Civic Tech Innovation Network based in Johannesburg, South Africa. The webinar is part of diverse events happening during the South African Urban Festival 2020 on the thematic “Empowering the civic”. …


This article is a presentation of the second part of my doctorate degree thesis, consisting in ground investigations over my case study cities in Asia, Middle-East and North-Eastern Europe. It is the direct following of the presentation of the first part of my thesis Stakeholder Engagement in Smart-City : Participatory governance in urban complexity which introduced the concept definitions, the problematic and the methodology used for my research.

My work is destined in priority to urban professionals at all levels or insiders which experience a growing complexity in urban project management. I aim to enlighten the sorely needed practice of…


In a previous article Theoretical Background : A phenomenological approach of social science — How to look beyond what is seen and transcend the limits of the scientific orthodoxy, the phenomenology was presented as a science of what appears to our conscience. Which means : like the animals live their existence in a proper perceptive ecosystem which results directly from their specific sensorial devices, the humans live their life in a proper perceptive ecosystem derived from the systemic technic tools of their time. In the digital era we are currently living, our daily devices are the ones of information technology…


This article presents the results of my Estonian investigation, third case study of my PhD in Urban Science entitled “Stakeholder engagement in Smart-City: Participatory governance in urban complexity”. It has been conducted between May and July 2020 and consisted in identifying by internet-based research and word of mouth, the key stakeholders of decision-making in the Smart-City and startup field in Tallinn. I collected data from survey to the inhabitants, did one-to-one interviews and social network analysis. My initial plan to organize meetups as participatory workshops around my research as been compromised by the sanitarian measures due to covid_19.

This investigation…

Julien Carbonnell

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

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