#Mobile Phone Data #Privacy #Deep Learning

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

Authors: Alex Berke, Ronan Doorley, Kent Larson, Esteban Moro Publication: arXiv preprint arXiv:2201.01139 (2022). Link Abstract: Location data collected from mobile devices represent mobility behaviors at individual and societal levels. These data have important applications ranging from transportation planning to epidemic modeling. However, issues must be overcome to best serve these use cases: The data often represent a limited sample of the population and use of the data jeopardizes privacy. ...

#wordle #Rforeverythingelse

Playing (and winning) Wordle with R

Introduction Unless you have been away for the last month, you, your family or friends have been talking about or playing Wordle. It is a very straightforward game which reminds us (old enough) of the great MasterMind, but with words. The idea is very simple. In the original version by Josh Wardle, we try to guess a (English) word of five letters. After each guess the game shows you what letters are in the answer in the right position (green), in the answer but in a wrong position (yellow) or not in the answer at all (gray). ...

#inequality #Social Media #Mobile Phone Data

News or social media? Socio-economic divide of mobile service consumption

Authors: Iñaki Ucar, Marco Gramaglia, Marco Fiore, Zbigniew Smoreda, and Esteban Moro Publication: J. R. Soc. Interface (2021). Link Abstract: Reliable and timely information on socio-economic status and divides is critical to social and economic research and policing. Novel data sources from mobile communication platforms have enabled new cost-effective approaches and models to investigate social disparity, but their lack of interpretability, accuracy or scale has limited their relevance to date. ...

#Segregation #Mobile phone data #Mobility

Mobility patterns are associated with experienced income segregation in large US cities

Authors: Esteban Moro, Dan Calacci, Xiaowen Dong & Alex Pentland. Publication: Nature Communications 12, 4633 (2021). Link Abstract: Traditional understanding of urban income segregation is largely based on static coarse grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4. ...