ODISSEI Community Conference 2021 programma en registratie

De Community Conference 2021 biedt de mogelijkheid om de mensen te ontmoeten die ODISSEI bouwen en gebruiken. Het programma omvat een serie interactieve en stimulerende sessies die zijn ontworpen om samenwerking aan te moedigen en nieuwe onderzoekslijnen uit te zetten. Sessies zullen draaien om alle relevante onderwerpen: van de laatste ontwikkelingen in surveyonderzoek tot projecten die de ODISSEI Secure Supercomputer gebruiken. Frank Pijpers, bijzonder hoogleraar Complexiteit voor Officiële Statistiek (CBS en UvA) zal een keynote lezing geven geven. De conferentie vindt plaats in het Muntgebouw in Utrecht op donderdag 18 november van 12:00 tot 17:30 uur. Aanmelding is gratis.

Het (Engelstalige) programma is hieronder te vinden. Het is nu mogelijk om voor de conferentie te registreren via de button. Graag uiterlijk 2 november aanmelden.


Programma (voertaal: Engels):

12:00Lunch with ODISSEI Facilities Fair
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 Immingindependent 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.

Confirmed speaker:
Creating life course datasets from historical population sources: the case of Suriname 1830-1950
Rick Mourits

Further speakers to be announced.
16.15Closing remarks by Pearl Dykstra
16.30Drinks
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.

Locatie

Dit jaar zal de ODISSEI Community Conference plaatsvinden in het Muntgebouw te Utrecht.

Leidseweg 90, 3531 BG Utrecht. Bekijk op Google Maps


Voor vragen kunt u mailen naar communications@odissei-data.nl


Klik hier om de foto’s en presentatie van Community Conference 2019 te bekijken.

Foto Muntgebouw door Sam Derksen Fotografie