Como Smarter City for Citizens Smarter (ComoSC2) is about to take its first steps!
Como SC2 is a project of Digital Transformation that aims to develop, implement, test and validate new digital services.
Today Social media, the Internet of Things (IoT), public Wi-Fi, telephone networks and mobile applications allow, for example, to measure how many people will come, stop in and out of a certain area, and this can help, as a result , to quantify and measure the effects of planning decisions on the life of the city.
This same information can then be used for local marketing, urban districts of trade and commercial activities (shops, bars) but also Museums and event organizers.
Along with the municipal administration and Polimi, the partener of the project are the Tim Joint Open Lab of Trento, Fluxedo – a start up of the Polimi incubated in ComoNExT – , FBK and the Teatro Sociale di Como, with the financial support of EIT Digital.
Press releases related to the 17/6 conference in Como can be found @
The JOL SKIL will be present at the placement annual big event organized by University of Trento: ICT Days 2016! It is a great pleasure for us to participate at this initiative and connect with new talents ready to measure themselves with real-work challenges. If you would like to experience a real-work period in an innovative and mixed culture environment you may find a great place for your internship or for writing your thesis. More…
LivLab (http://livlab.unicooptirreno.com) is a living lab created by Telecomitalia in partnership with Unicoop Tirreno, CNR and Fondazione Bruno Kessler.
For Telecomitalia, the project involves JOL SKIL of Trento, the JOL WAVE of Catania, and the Future Centre.
The living lab started on 10.04.2015 (see press release ) and will involve 100 members equipped with Android smartphone in Livorno for a year.
The mission of LivLab is (i) developing of the model of the Personal Data Store, which the user sees as the only protagonist of the management of their personal data (in this case the data from the sensors on board the smartphone and expenditure with membership card) and (ii) the development of innovative personal data driven in the retail grafted onto the platform of Personal Data Store developed as part of the living labs of Trento.
Members investigators are already using the ‘application LIVLAB charges, developed by JOL WAVE, smart management of expenditure incurred by membership card, but it is already expected by the year the release of 2 new services made by EMS circuit EIT and in the course of the co-design of the evoluzionu LIVLAB charges with which they will try to integrate the diversity of personal information with the aim of providing a truly personalizzato.logo_livlab
The success of the Mobile Territorial Lab of Trento has shown that the model of living labs Federated accelerates the innovation cycle and time-to-market services developed through an ongoing engagement, the early stages, and the user of a business partner (in this case Unicoop Tirreno) interested in this new way of building services. Moreover, the involvement of academic partners (CNR and FBK, if LivLab) also allows you to experimentally verify the results produced by these research centers in realistic application contexts.
The Mobile Territorial Lab (MTL) project has been created by Telecom Italia SKIL Lab, in cooperation with Telefónica I+D, the Human Dynamics group at MIT Media Lab, the Institute for Data Driven Design (ID³) and Fondazione Bruno Kessler, and with contributions from Telecom Italia Future Center. The project aims at creating an experimental environment to push forward the research on human-behavior analysis and interaction studies of people while in mobility. MTL aims at exploiting smartphones’ sensing capabilities to unobtrusively and cost-effectively access to previously inaccessible sources of data related to daily social behavior (location, physical proximity of other devices; communication data (phone calls and SMS), movement patterns, and so on. The Mobile Territorial Lab (MTL) in Trentino is the first of a network of living labs and aims at fostering mobile phone related research activities with real people on a very responsive territory. This includes the involvement of a significant number of committed users with the goal of having a continuous and active user base to interact with and cutting down the experimentation setup costs. A continue and active user base equipped with smartphones, enabling users to access (from everywhere) online services and to collect personal or contextual information from the integrated sensors, represents a valuable and unique sample for investigating new paradigms of Personal (Big) Data management and novel Personal Data-driven services.
> Discover more on www.mobileterritoriallab.eu
Toward a new model for personal data management: from data protection to data control and exploitation
Ubiquitous sensing is nowadays reality and it has gone largely beyond the widespread adoption of smartphones among a large majority of the consumers. Ubiquitous computing, in fact, is rapidly broadening its boundaries, leveraging on continuously increasing sensing opportunities offered by modern, low-cost technologies (ranging from wearable/body sensors to smart homes, vehicles and other devices empowered with rich sensing capabilities). These leaded to the generation and collection of a previously unimaginable quantity and variety of Personal Data (PD), which have enriched everyone’s digital footprint and has become the core of digital services and mobile applications. Smartphones capabilities of collecting contextual information and of ensuring connection to the network while in mobility, moreover, has further pushed the success of social networks applications andthe digitalization of business/personal services, chich have resulted in a tremendous and continuous production of PD.
Policy makers, urban planners, architects, sociologists, and economists are interested in creating urban areas that are both lively and safe. But are the safety and liveliness of neighborhoods independent characteristics? In this paper we explore the connection between the levels of activity and the perception of safety of neighborhoods in two major Italian cities by combining mobile phone data (as a proxy for activity or liveliness) with scores of perceived safety estimated using a Convolutional Neural Network trained on a dataset of Google Street View images scored using a crowdsourced visual perception survey.