Internal Project

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IRPET

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This project is the result of a scientific collaboration between KDD Lab and the Regional Institute for the Economic Planning in Tuscany (Istituto Regionale per la Programmazione Economica della Toscana – IRPET), for the realization of an informative system of the mobility in Tuscany through the use of big data. In particular, it aims at providing models and tools for the analysis of the mobility at urban and regional level, by integrating Big Data of GPS and GSM sources with other more conventional data sources.
3 November 2015
2 November, 2016

Master Big Data

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Today we have an unprecedented opportunity to observe and measure how our society intimately works, by analyzing the big data, i.e, the digital breadcrumbs of human activities sensed as a by-product of the ICT systems that we use everyday. Digital breadcrumbs record the real individual and collective human behaviors at great detail and resolution. Big Data are transforming the science and the business and are becoming the key resource – the new oil – of the next future.

1 June 2014

Understanding Human Migration Flows

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The aim of this project is to observe, analyze, understand and possibly predict the patterns of human migration flows. This is a crucial topic in contexts like urban planning, disease spreading and energy consumption.
1 January 2013

Big Data for Estimating Socio-Economic Development

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An open research question is whether measurements made on Big Data recording human activities, such as mobile phone data, can yield us high-fidelity proxies of socio-economic development. Can we monitor and predict the socio-economic development of a territory just by observing the behavior of its inhabitants? The goal of this project is design a data-driven analytical framework that uses mobility measures and social measures extracted from mobile phone data to estimate indicators for socio-economic development.
1 January 2013

Data Science for Sports Analytics

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Sports analytics have evolved in recent years in an amazing way, thanks to automated or semi-automated sensing technologies that provide high-fidelity data streams extracted from every game. In the lab we are investigating data-driven approaches to boost the understanding of sports performance, in two main context: cycling and football..
1 June 2013

TagMyDay

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1 January 2014
31 December, 2014

Persons&Places

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The project aims at investigating to what extent ”big data” - Mobile calls data - in integration with administrative data, could be a support in producing reliable and timely estimates of inter-city mobility. This study, jointly developed by ISTAT, CNR, and University of Pisa, wants to experiment an analysis process built on top of the so-called Sociometer, a data mining tool for classifying users by means of their of their calls habits, in order to study the composition of the population and their mobility behaviors.
1 January 2014
31 December, 2014

MineTheNet

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1 January 2007
31 December, 2017

where YOu Go is where you Are

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Behavioral patterns can be extracted from the traces of past human activities through a semantic- enriched knowledge discovery process.
1 July 2012
30 June, 2014

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