On April 22, ODISSEI hosts an online workshop on CBS microdata and geospatial analysis, organised in collaboration with dr. Marco Helbich and dr. Hannah Roberts (UU). During this afternoon, attendees will learn more about the possibilities of CBS microdata for geospatial analysis. The event will focus on what types of data are available, how to use them, and showcase research that has used microdata for geospatial analysis. Find the full programme with abstracts below.
Online registration has closed, but if you still wish to register, please contact us via communications@odissei-data.nl.
Programme
13.00-13.30: Enriching microdata with geospatial information – Dr. Marco Helbich (Associate professor Geosciences, UU)
Spatial data are nowadays pervasive and are generated in huge volumes through mapping agencies, earth observations, or mobile sensors. By considering location and timing compared to traditional types of data, geospatial analytics provide us with tools supporting a more complete understanding of social and environmental phenomena. Through examples from health geography, this introductory talk aims to 1) provide an overview outlining why spatial data are special, 2) discuss concepts how to enrich microdata with geospatial information, and 3) will highlight possible pitfalls and challenges.
13.30-14.00: ‘Geospatial Microdata Collections at Statistics Netherlands’ – CBS
Researchers who want to use CBS microdata collections can consult the CBS microdata catalogue to see the available datasets. As the catalogue contains a large number of datasets, it can take some time to identify the right ones if you want to apply a geospatial approach. During this talk, experts from the CBS microdata department will give a brief introduction to microdata and then discuss how you can find the datasets to fit geospatial research.
14.00-14.10: Break
14.10-14.40: Research with microdata: ‘Economic opportunities are associated with the neighborhood where people grew up’ – Dr. Bastian Ravesteijn, Assistant Professor at the Erasmus School of Economics
Economist Bastian Ravesteijn will present on the interactive website he developed with his research team: KansenKaart.nl. Using pseudonymized CBS microdata on all Dutch residents, they investigated to what extent the place where a person grows up is associated with outcomes throughout childhood and adulthood. Kansenkaart.nl shows stark differences in human capital formation by the area in the Netherlands where people spend their childhood. Currently, Ravesteijn and his team are expanding this project, for which they will make use of the ODISSEI Secure Supercomputer (OSSC).
14.40-15.10: Research with microdata: ‘Do neighbourhoods affect health? Disentangling selection and causation’ – Nienke Boderie MSc, PhD Candidate at Erasmus MC
Population health differs dramatically across neighbourhoods. Boderie will discuss how this project estimates the effect of neighbourhood characteristics in Rotterdam on medicine use as an indicator of health and mental wellbeing, to provide information to policy-makers on opportunities to reduce the prevalence of mental health problems. Together with dr. Joost Oude Groeniger (EUR-ESSB) and prof. dr. Hans van Kippersluis (EUR-ESE), Boderie received an ODISSEI Microdata Access Grant in 2020 to execute this project.
15.10-15.30: Breakout rooms
In the breakout rooms, participants will have the opportunity to talk to geospatial researchers who use microdata, with the experts from CBS who can answer your questions on navigating the CBS catalogue and using microdata in the secure Remote Access Environment, and with ODISSEI representatives who can tell you more about using the ODISSEI Secure Supercomputer and applying for Microdata Discount or Grants.
Relevant links
- CBS microdata: Conducting your own research
- ODISSEI Microdata Access Grant Call 2021
- ODISSEI Secure Supercomputer
- Kansenkaart.nl – dr. Bastian Ravesteijn
- Research project ‘Do neighbourhoods affect health?’ – Nienke Boderie MSc
- NEEDS project – dr. Marco Helbich
Photo by Daria from TaskArmy.nl on Unsplash.