Hoogleraar (Part-time)
Piet Daas
Department / Institute
![](https://assets.w3.tue.nl/w/fileadmin/_processed_/7/3/csm_ee1d0e57a73b5ea794b714590f3132da_889a7a1689.jpg)
Recent Publications
-
Alternative Sources and Machine Learning for Official Statistics
Journal of Official Statistics (2024) -
Navigating the digital frontier: Unlocking the potential of web scraped data for official statistics
(2024) -
On the Validity of Using Webpage Texts to Identify the Target Population of a Survey
Journal of Official Statistics (2024) -
Current challenges and possible big data solutions for the use of web data as a source for official statistics
Wiadomości Statystyczne (2023) -
Quality framework for combining survey, administrative and big data for official statistics
Statistical Journal of the IAOS (2023)
Ancillary Activities
- Senior methodoloog, Centraal Bureau voor de Statistiek
- Lid van de Methodologische Adviesraad, Italian National Institute of Statistics (ISTAT)