Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps

In this work, we propose a novel GAN architecture that decouples the required annotations into a category label - that specifies the gesture type - and a simple-to-draw category-independent conditional map - that expresses the location, rotation and size of the hand gesture. Our architecture synthesizes the target gesture while preserving the background context, thus effectively dealing with gesture translation in the wild.

[arXiv] [ACM MM' 19]

Strategies and limitations in app usage and human mobility

Cognition has been found to constrain several aspects of human behaviour, such as the number of friends and the number of favourite places a person keeps stable over time. This limitation has been empirically defined in the physical and social spaces. But do people exhibit similar constraints in the digital space? We address this question through the analysis of pseudonymised GPS locations and mobile application usage data of 400,000 individuals in a European country for six months.

[Nature Scientific Reports] [arXiv]

In this paper, we use multiple sources of data to entangle the economic contribution of the neighborhood's characteristics such as walkability and security perception. We also develop and release a framework able to now-cast housing prices from Open data, without the need for historical transactions. Experiments involving 70,000 houses in 8 Italian cities highlight that the neighborhood's vitality and walkability seem to drive more than 20% of the housing value. Moreover, the use of this information improves the nowcast by 60%. Hence, the use of property's surroundings' characteristics can be an invaluable resource to appraise the economic and social value of houses after neighborhood changes and, potentially, anticipate gentrification.

[IEEE DSAA 2018] [arXiv]

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 cgrid-xdsourced visual perception survey.

[ACM MM 2016] [arXiv] [Fast Co.design]

The Death and Life of Great American Cities was written in 1961 and is now one of the most influential book in city planning. In it, Jane Jacobs proposed four conditions that promote life in a city. However, these conditions have not been empirically tested until recently. We operationalized these conditions extracting information from Open Data, Foursquare and mobile phone data and testing them in six Italian cities.

[WWW 2016] [arXiv] [MIT Technology Review] [Fast Company]

The Mobile Territorial Lab: A multilayered and dynamic view on parents' daily lives

Description of the Mobile Territorial Lab (MTL) project, a longitudinal living lab which has been sensing by means of technology (mobile phones) the lives of more than 100 parents in different areas of the Trentino region in Northern Italy. We present the preliminary results after two years of experimentation of, to the best of our knowledge, the most complete picture of parents’ daily lives.

[EPJ Data Science]

A multi-source dataset of urban life in the city of Milan and the Province of Trentino

Description of the richest open multi-source dataset ever released on two geographical areas. The dataset is composed of telecommunications, weather, news, social networks and electricity data from the city of Milan and the Province of Trentino.

[Nature Scientific Data]

Investigating the relationships between spatial structures and urban characteristics (NETMOB2015 at MIT)

Analysis of the communication networks of 12 Italian cities with more than 150'000 inhabitants in order to investigate the impact of cities' spatial structures and dynamics on different socioeconomic outcomes such as economic growth, innovation, contagious disease rates and crime.

Short-term anomaly detection in gas consumption through ARIMA and Artificial Neural Network forecast

[EESMS 2015] [source code]