The ODISSEI Conference for Social Science in the Netherlands seeks to bring together a community of computational social scientists to discuss data, methods, infrastructure, ethics and theoretical work related to digital and computational approaches in social science research. ODISSEI, the research infrastructure for social science in the Netherlands, connects researchers with the necessary data, expertise and resources to conduct ground-breaking research and embrace the computational turn in social enquiry.
Conference registration: Free. Register below by 23 October 2022.
Conference date: 3 November 2022
Location: Media Plaza (Jaarbeurs), Utrecht, the Netherlands
Contact: communications@odissei-data.nl
Please note: registration is free, but as there is a limit to the location’s capacity, please let us know as soon as possible if you have to cancel your registration.
Programme
Download overview of the parallel sessions and poster presentations in PDF. Find the abstracts and full overview in the programme below.
8.15-9.00 – Welcome and registration
9.00-10.00 – Opening Keynote: Frauke Kreuter (University of Maryland, University of Munich)
10.00-10.30 – Coffee break
10.30-12.00 – Parallel Session 1
- Session 1.1 – Methods for Computational Social Science
- Session 1.2 – Leveraging Web Data
- Session 1.3 – Stimulating Respondent Participation
- Session 1.4 – Insights from Social Media Data
- Session 1.5 – FAIR Data Infrastructure
12.00-12.45 – Lunch break and poster presentations
12.45-13.45 – Parallel session 2
- Session 2.1 – Innovations in Data Infrastructure
- Session 2.2 – Migration & Generations
- Session 2.3 – New Frontiers in Computational Social Science
- Session 2.4 – Topic Modelling & Text Analysis
- Session 2.5 – Utilizing HPC for Social Science
13.50-14.50 – Parallel Session 3
- Session 3.1 – Linking Surveys and Administrative Data
- Session 3.2 – Genetics in the Social Sciences
- Session 3.3 – Insights from Administrative Data
- Session 3.4 – The Social Impact of COVID
- Session 3.5 – Language and Archival Infrastructure
14.50-15.15 – Coffee Break
15.15-16.15 – Parallel Session 4
- Session 4.1 – Modelling Complexity
- Session 4.2 – Inequalities & Families
- Session 4.3 – Text as Data
- Session 4.4 – Learning from the Pandemic
- Session 4.5 – New Infrastructure for Social Science Research
16.15-17.15 – Closing Keynote: Matthew Salganik (Princeton University)
17.15-18.15 – Drinks