Winners of the EMOS Master Thesis competition presented their work and a student team from Pisa participated in the Big Data Hackathon.
The Master thesis competition for EMOS graduates was organised for the first time to highlight official statistics as a research topic and put forward young talents with innovative contributions. The Board selected five authors to feature their thesis in the NTTS Conference with travel and accommodation covered by Eurostat. EMOS authors had their work displayed in the poster session and three theses were presented in a dedicated award ceremony session on 13 March 2019. University of Pisa took the opportunity of attending for the first time the Big Data Hackathon challenge. BD Hackathon winners came from statistical offices of Poland, Italy and the UK, but the youngest team amongst 17 teams of 51 full-blooded professional statisticians proved creative and resilient.
The selected EMOS master theses are (abstracts and presentations on EMOS homepage)
- University of Trier: Julia Manecke - Regional analysis of business survey: methods and applications in the context of Small Area Statistics
- University of Rome "La Sapienza": Giovanna Tagliaferri - VAT Tax gap prediction: a 2-steps gradient boosting approach
- KU Leuven (University of Leuven): Nhu Tho Ngyen* - Estimation of measurement errors in social survey
- University of Rennes: Noémie Morenillas - Modelling enterprises responses to the ICT (Information Communication Technology) survey
- Free University Berlin: Kerstin Erfurth - Application and quality assessment of simulated geo-coordinates for regional analysis of the parliamentary elections to the Bundestag 2017
EMOS is a label awarded by the European Statistical System Committee (ESSC) for four years to nationally accredited Master programmes which are in line with the EMOS learning outcomes, aiming at familiarising the graduates with the system of official statistics, production models, statistical methods and dissemination. EMOS-labelled Master programmes also collaborate actively with the National Statistical Institutes or other producers of official statistics for relevant master thesis topics and internships in the sphere of official statistics.