12:00 - 13:00
CPS02: Big Data and Machine Learning
Contributed Paper Session
Room: Upper Foyer
Chair:
Dario BUONO
Can new fairly big data sources and modernised statistical production enhance the availability of evidence based policy agenda?
12:00 - 12:15
Th-CPS02-01
Challenges and Opportunities with Mobile Phone Data in Official Statistics
Tiziana Tuoto 1, Fabrizio De Fausti 1, Roberta Radini 1, Luca Valentino 1, Marcello Savarese 2, Francesco Fabbri 2, Maria Rita Spada 2
1 Istat - Italian National Statistical Institute, Rome, Italy, 2 Wind Tre S.p.A, Rome, Italy
12:15 - 12:30
Th-CPS02-02
Machine learning methods within the Federal Statistical Office of Germany
Florian Dumpert 1, Lydia Spies 2
1 University of Bayreuth, Bayreuth, Germany, 2 Federal Statistical Office of Germany, Wiesbaden, Germany
12:30 - 12:45
Th-CPS02-03
Obtaining fairness using optimal transport theory
Jean-Michel Loubes, Philippe Besse
Institut de Mathématiques de Toulouse, Toulouse, France