Abboub SCHÉHÉRAZADE (Parme avocats)
Given the challenges of data, the territories must adopt a policy that ensures both their protection and compliance with the legislative and regulatory framework. Another important challenge lies in the ability to value data to produce services, to exploit them (BIM / CIM type modeling, prediction, optimization, valuation at merchant platforms, open data access to non-market applications, standards, etc.) regardless of the relationships. with operators and providers. Data governance can be understood from the point of view of the community's management of all the data of its public services because: "on the one hand, it is not always easy for local authorities to obtain from their private partners all the information relating to the services they delegate. On the other hand, the exploitation of a public contract or concession leads to the production of a growing volume of data, whatever the field concerned (water, sanitation, energy, transport, digital, etc.). ). Given this double observation and the cross-checks made possible by big data, it is more than necessary for each community to be able to use this data in order to: »not only ensure its use for its own account but also make them available to third parties (open data); "But above all to be able to drive the monitoring of the contract effectively and objectively until the end. When renewing the contract, it will be particularly useful to provide candidates with the necessary data.
Karolina MOSIADZ (Mapple)
Cities made an incredbile progress in collecting, analysing and publishing open data. However, they are still struggling to overcome technical barriers, get residents involved and measure the impact.
Lack of expertise and resources means that they capture only a fraction of potential value from data and analytics. At the same time, residents are bombarded with information they don't know how to use.
Together with the city of Helsinki, we developed on a framework that connects disconnected data sets and uses maching learning and mobility and accessibility modelling to draw patterns and simulate future outcomes. This way, both cities and residents can use location and spatial data to make better decisions.
Juan LOPEZ-ARANGUREN, Intermediae Matadero (Ayuntamiento de Madrid)
Why was the A-Team always able to escape from where they were locked up? The improvisation and situations of exceptions that are key to a more modern and effective education fill this meaningful talk through international examples in which informal educational spaces offer inspiration for the organized and in which it is proposed that the playground become a central element for a new educational experiment project.
Caroline GOULARD (
Dataveyes)
Cities are concentrating more and more citizens, to the point of becoming a new unit of power and influence. In return, they face previously unknown social, environmental, economic and political issues. The temptation is therefore great to see data as a self-fulfilling solution, where a few sensors, antennas and data centers would regulate and optimize everything. But cities of the future run the risk to turn into black boxes if we don’t create better mediations between them and us. That is why we must revisit the scheme that articulates data mining and the city of the future. This scheme must be augmented by a new reflex: make these data visible, sensitive, understandable, and manipulable by the greatest possible number of people. That is how we will keep "smart cities" from turning into "black boxes". That is how cities will provide us with new uses and new prospects.
Ben CERVENY, Foundation for Public Code
Software in Public
We need new models for collaboration between municipalities and other public institutions to co-develop, maintain, and steward the large codebases on which our society will run.
