In the morning of the ODISSEI Community Conference, there will be parallel sessions for invited participants: those who build ODISSEI, those who are in other ways closely involved in its development, and those who are working in projects in closely related fields. These sessions will focus on recent developments and future challenges and will be highly interactive. The morning will thus offer opportunities to meet those who are building and using ODISSEI in person in sessions designed to encourage collaborations and inspire new lines of research.
The conference will take place in the Muntgebouw in Utrecht on Thursday, 18 November. The morning programme will start at 9:30 and can be found below. The afternoon programme is open to the public. Attendance is free of charge, but registration is required.
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. Please request the link via firstname.lastname@example.org. If you have registered but will attend online instead of in person, please let us know via the same address.
- The morning programme will not be online. If you cannot attend in person, we hope you can still join us online in the afternoon.
Morning programme (for invited participants):
Coffee and tea will be available from 9 am onwards, the morning programme will start at 9:30. The parallel sessions are listed below.
Session 1: Computational Methods for Social Science
|Chair: Javier Garcia-Bernardo (Utrecht University)|
|9:30 – 10:00||Academic research, powered by pioneering software – Rob van Nieuwpoort, Netherlands eScience Center|
|10:05 – 10:35||The first social science benchmarking platform – Paulina Pankowska, VU Amsterdam|
|10:35 – 10:55||Break|
|10:55 – 11:25||The CBS Network File – Jan van der Laan (CBS)|
|11:30 – 12:00|
Session 2: Data Collection Techniques
|Chair: Tom Emery (ODISSEI)|
|9:30 – 10:00||The fieldwork design of the Generations and Gender Survey: issues in a web-based survey – Aart Liefbroer (NIDI)|
The Dutch Parliamentary Election Study (NKO) – Marcel Lubbers (Utrecht University)
|10:05 – 10:35||LISS plans for the future – Joris Mulder (Centerdata)|
|10:35 – 10:55||Break|
|10:55 – 11:25||Mass Online Experiments – Rense Corten (Utrecht University)|
|11:30 – 12:00||Participant Recruitment Platform – Adriënne Mendrik (Eyra)|
Session 3: Complex data structures
|Chair: Jacco van Ossenbruggen (VU Amsterdam)|
|9:30 – 10:00||Knowledge graph of the ODISSEI Portal – Ronald Siebes (VU Amsterdam) and Margherita Martorana (VU Amsterdam)|
|10:05 – 10:35||Synthetic data – Erik-Jan van Kesteren (Utrecht University)|
|10:35 – 10:55||Break|
|10:55 – 11:25||Opportunities and challenges in linking and reusing |
education data in the Netherlands – Michel Dumontier, Chang Sun and Birgit Wouters (Maastricht University)
|11:30 – 12:00||CBS Metadatamodel for the ODISSEI Portal – Tjalling Gelsema (CBS)|
Session 4: Data integration
|Chair: Ricarda Braukmann (DANS)|
|9:30 – 10:00||Citizen Science data – Peter Lugtig (Utrecht University)|
Archiving data from the Media Content Analysis Lab (MCAL) – Rens Vliegenthart (University of Amsterdam)
|10:05 – 10:35||Demonstrating the ODISSEI Portal – Ricarda Braukmann (DANS)|
|10:35 – 10:55||Break|
|10:55 – 11:25||Connecting Data in the Consortium on Individual Development (CID) – Otto Lange (Utrecht University)|
|11:30 – 12:00||Historical Sample of the Netherlands (HSN) – Richard Zijdeman and Rick Mourits|
The Netherlands Twin Register (NTR) – Camiel van der Laan
Afternoon programme (open to the public):
|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 (Radboud University)
‘Big, long tail and Linked Data: Bridging the Social Sciences and Humanities’
– Richard Zijdeman (IISG)
Respondent: Suze Zijlstra (ODISSEI and independent historian)
|16.15||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 email@example.com
View photos and presentations of the 2019 conference here.
Photo Muntgebouw by Sam Derksen Fotografie