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IASS Webinar 3: "Survey and Big Data Interactions (during the COVID emergency)"

  • 4 Nov 2020
  • 9:00 PM - 10:30 PM (AEDT)
  • Online

Presented by the International Statistical Institute 

9:00 pm AEDT (11:00 am - 12:30 pm CET), November 4th, 2020

The webinar series continues to showcase examples of national organizations using surveys to collect data on COVID-19. All are invited to this webinar that is organised by the International Association for Survey Statisticians.

The moderator for the webinar will be Monica Pratesi (IASS, President Elect). The webinar will consist of two talks:

  • Prof. Dr. Piet Daas’ talk is on “Detecting innovative companies via text on their websites”. This presentation is about the use of website texts to classify companies. Survey-based and website-based findings are compared for the detection of Innovative companies. In this way, the number of small innovative companies can be estimated. Other applications are mentioned.
  • Marco Puts' talk is on “Estimating the development of Covid based on symptom mentions in social media: a convenient sample”. This presentation is about using social media messages to create an early indicator for the development of Covid in the Netherlands.

and there will be time for questions. The webinar will be recorded and made available on the IASS website.

Please register for IASS Webinar 3 at:

After registering, you will receive a confirmation email containing information about joining the webinar.

Biographies of the speakers:

Prof. Dr. Piet Daas is a senior methodologist at Statistics Netherlands where he leads the research on Big Data. He is a professor by special appointment on ‘Big Data in Official Statistics’ at the Eindhoven University of Technology where his work focuses on the development of Big Data methodology. Piet teaches Big Data (on-line) at the University of Utrecht, University of Maryland, and the University of Mannheim.

Dr. Marco Puts is a methodologist at Statistics Netherlands. He is affiliated at the Radboud University and is lecturer at the University of Mannheim and the University of Maryland. He is involved in the VEO project, an observatory of infectious diseases in Europe. Within this project he cooperates within the University of Bologna, Erasmus University, EPFL, DTU and ELTE.

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