ODISSEI Community Conference 2021 programme and live stream

The Community Conference 2021 will be an opportunity to meet those who are building and using ODISSEI in person, through a series of highly interactive and stimulating sessions designed to encourage collaborations and inspire new lines of research. Sessions will encompass everything from the latest developments in survey science through to projects utilizing the ODISSEI Secure Supercomputer. Frank Pijpers, professor by special appointment of Complexity for Official Statistics (CBS and UvA), will give a keynote lecture. The conference will take place in the Muntgebouw in Utrecht on Thursday, 18 November from 12:00 to 17:30 hours (CET). The programme can be found below. The afternoon will also be streamed, the link to the stream is available below via the button.

Please note in view of the current situation:

  • Participants must bring a CoronaCheck QR-code and an ID, which will be checked at the entrance.
  • All participants who plan to attend are kindly requested to take a corona self test at home before traveling to the conference. We hope that all participants will help in this way to minimize the risk for everyone present. If you have any symptoms, please get tested at a GGD facility and attend the event at home if you do not have the result in time. Please adhere to the GGD guidelines.
  • The conference location is spacious. We’re asking all participants to keep as much distance to one another as possible. 
  • To facilitate distancing during lunch, the Facilities Fair is cancelled.
  • We understand that there are a variety of reasons that registered participants will not attend in person. The afternoon programme will therefore be livestreamed. If you have registered but will attend online instead of in person, please let us know via communications@odissei-data.nl.


13:00Welcome by Pearl Dykstra (ODISSEI)
13:05Keynote: ‘Network Reconstruction: Why and How?
Frank P. Pijpers (Statistics Netherlands (CBS) and University of Amsterdam)
13:45Innovating Computational Social Science research projects

This session showcases current computational research projects that are conducted within the social sciences. They use pseudonymised CBS microdata for their analysis with a variety of innovating approaches: on the ODISSEI Secure Supercomputer, in combination with LISS panel data, or within the new research infrastructure POPNET that is supported by the Platform Digital Infrastructure Social Sciences & Humanities (PDI-SSH). 

‘Filling in the blind spots: income and wealth of households’
Marike Knoef (Leiden University)

Population-scale social network analysis
Frank Takes (Leiden University, POPNET)

‘Geographic visualization of childhood opportunities in the Netherlands using the OSSC Secure Supercomputer’
Bastian Ravesteijn (Erasmus University Rotterdam and KansenKaart.nl)
14.30Open Science with Secure Data 

One of the biggest challenges within computational social science is how to share research that is conducted with sensitive data in a secure environment to protect privacy. This session focuses on how researchers are currently dealing with this challenge, and discusses highly promising new ways to answer present-day ambitions to make computational social science more open and FAIR.

Collaborating when using sensitive data in a secure environment
Bas van der Klaauw (VU Amsterdam)

The big workaround: an open processing and analysis pipeline for closed data
Erik-Jan van Kesteren (Utrecht University and ODISSEI SoDa Team

Respondent: Melanie Imming (independent consultant specialized in Open Science and FAIR data)
15.15Coffee break
15.30Linking large datasets in social science and humanities

Both the social sciences and the humanities are making massive strides in digitizing and linking large datasets. How do these fields overlap, and what are shared challenges? This session will explore current projects and the ways in which social scientists and scholars in the humanities can benefit from each other’s experiences and strengthen each other’s work.

Creating life course datasets from historical population sources: the case of Suriname 1830-1950
Rick Mourits (Radboud University)

‘Big, long tail and Linked Data: Bridging the Social Sciences and Humanities’
Richard Zijdeman (IISG)

Respondent: Suze Zijlstra (ODISSEI and independent historian)
16.15Closing remarks by Pearl Dykstra
Please note that at the Muntgebouw, all COVID-regulations, including those for restaurants, apply. Those attending the conference are therefore kindly requested to bring their CoronaCheck QR code.


This year the ODISSEI Community Conference will take place at the Muntgebouw in Utrecht

Leidseweg 90, 3531 BG Utrecht. View on Google maps

For questions, contact us at communications@odissei-data.nl

View photos and presentations of the 2019 conference here.

Photo Muntgebouw by Sam Derksen Fotografie