SKIL

15 Sep , 2014  

SKILThe Semantics and Knowledge Innovation Lab (SKIL) is part of the Joint Open Labs network of Telecom Italia, whose goal is to foster the open innovation through the creation of laboratories co-located at the top-level universities all over Italy. The technological focus of SKIL is Big Data and Data Mining: the high-level multidisciplinary team investigates and develop data-driven solutions that exploit the enormous amount of data generated (Call Detailed Records – CDR ) in the network of Telecom Italia, as well as the Personal Data created in mobility – by its customers. SKIL is co-located at the EIT ICT Labs Italian node with the University of Trento and the FBK Research center.SKIL runs project with top international partners like British Telecom and Telefonica and universities like MIT Media Lab, North Eastern University, TU Delft and Politecnico di Milano. Its international team is composed by internal researcher, PhD students and research scholars.

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City Sensing

CitySensing

1 Sep , 2014   Video

From the experience of the Trentino Open Living Data (TOLD) project, SKIL Lab, in collaboration with Politecnico di Milano, is developing CitySensing, a platform for the management of large events in urban areas based on social media and mobile network Big Data Streams. The platform, by the means of a dashboard, enable the monitoring of venues providing insights such as the estimation of presence, the socio-demographic distribution, the provenience,  the arguments of interest, the sentiment, etc. The platform has been deployed in several settings in Italy, such as the Design Week event in Milan (see citysensing.fuorisalone.it) and will be the basis for future geo-referenced big data services for the public administration.

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Mobile Territorial Lab

Mobile Territorial Lab

1 Sep , 2014  

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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

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Mobile Territorial Lab,MTL services,My Data Store

My Data Store – The Personal Data Store of MTL

4 Aug , 2014  

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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.

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PhD Call XXXI

User’s drivers investigation and collaborative design methodologies for personal data driven services

21 May , 2015  

Quantify yourself – The objective of this PhD grant is investigating the needs,

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PhD Call XXXI

Emotion recognition from wearable physiological-sensors to dynamically assess media and social content

21 May , 2015  

In the last years wearable (sensors, such as wristbands, clocks, etc.) shown among the technologies which have experienced the higher increase of attention and expectations, both in terms of applicative domains and impact on user life. Moreover they witnessed a fast and significant growth under many perspective: in terms of production (variety of producers, sensors, features and associated algorithms), in terms of adoption and diffusion, in terms of quality and potentials improvements.

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PhD Call XXXI

Empowering citizens to manage their personal knowledge spaces: personal services based on big personal data analytics.

21 May , 2015  

The project aims at studying analytical methods that enable the understanding of individual behavior and indicators emerging from personal and Big Data.

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PhD Call XXXI

Real-time Anomaly Detecion on Heterogenous Data Streams

21 May , 2015  

Anomaly detection is a critical step in order to get a better understanding of complex systems and gather insights about them. The topic becomes even more interesting and challenging when the anomaly has to be detected in real-time on data streams that have different provenance. The state of the art is rich of effective solutions applicable when data is homogenous and “at-rest”, but it lacks solutions for heterogeneous data “in-motion”.

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Life at the lab

Congratulations to Andreza!

15 May , 2015  

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Our first PhD student, Andreza Sartori, got her PhD in ICT with the thesis

Affective Analysis of Abstract Paintings Using Statistical Analysis and Art Theory

Andreza worked under the supervision of Prof. Nicu Sebe in the Multimedia and Human Understanding Group (MHUG) team. At SKIL, she worked in affective analysis of modern art, focusing on computer vision, visual perception, emotion recognition and art concepts in order to detect specific image structures and emotions evoked by artworks.

Congratulations!!!

Mobile Territorial Lab,MTL services

Favour-Exchange

8 May , 2015  

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“Blessed are those who can give without remembering and take without forgetting.”

[Elizabeth Bibesco]

At the present stage, different businesses build their fortune as mediators between demand and offer of services and goods in the digital world. These differ by many characteristics providing the final users a heterogeneous pool of choices to satisfy their needs, both concerning offer of goods/services and demand of goods/services. This field is well known as e-commerce. While the latter has been popular for years and is still growing nowadays, online favour exchange services have not received particular attention by the final users, which, for instance, sometimes prefer to organise gift of items and help request using Facebook private groups. Thus, this particular market can be an opportunity to develop an ad-hoc service in a segment where there is a lack of such a service. The idea is to create several geo-located trusted communities, where people are supported to share goods and services via a platform that manages both virtual and real interactions.

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