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. Attendance is free of charge.
The programme can be found below. Registration for the Community Conference is now open, please register via the button before 2 November.
|12:00||Lunch with ODISSEI Facilities Fair|
|13:00||Welcome by Pearl Dykstra (ODISSEI)|
|13:05||Keynote: ‘Network Reconstruction: Why and How?’ |
– Frank P. Pijpers (Statistics Netherlands (CBS) and University of Amsterdam)
|13:45||Innovating 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)
|14.30||Open 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
|15.30||Linking 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
Further speakers to be announced.
|16.15||Closing 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 firstname.lastname@example.org
View photos and presentations of the 2019 conference here.
Photo Muntgebouw by Sam Derksen Fotografie