ODISSEI Conference 2023: Call for Papers
ODISSEI welcomes proposals for presentations on computational social science to be given at its conference on 2 November 2023 in Utrecht.
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. This conference 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.
TOPICS EXPLICITLY ENCOURAGED (BUT ARE NOT LIMITED TO):
- Theoretical discussions and concepts in computational social science;
- Social science research utilising ODISSEI Infrastructure (such as CBS Microdata, LISS panel, or OSSC);
- Computational methods for social science research (such as agent based modelling, network analysis, textual analysis, benchmarking, and machine learning);
- Causal Inference in computational social science;
- Ethical and legal issues of algorithms, big data and computational methods;
- The use of computational methods to inform policy;
- Bias, inclusivity, and inequalities in computational social science;
- Use of High Performance Computing for social science research;
- The use of new technologies in social science research;
- Computational social science research with links to the humanities or health sciences;
- The development and building of social science research infrastructure.
Presentations at the conference last 15 mins, in addition there will be a poster session. There will be no pre-circulated papers. Presentations can be of published work, in preparation for publication or work in-progress. Submissions are open to researchers from all career stages, including PhD candidates and Master students. Abstracts of up to 300 words should be submitted no later than 30 June 2023, 23:59 (CEST).
David Lazer, University Distinguished Professor of Political Science and Computer Sciences, Northeastern University, and Co-Director of NULab for Texts, Maps, and Networks. His research focuses on the nexus of network science, computational social science, and collaborative intelligence.
Linnet Taylor, Professor of International Data Governance at the Tilburg Institute for Law, Technology, and Society (TILT), where she leads the ERC-funded Global Data Justice project. Her research focuses on how new sources of digital data are impacting governance, research on human and economic development, and political representation.
Conference registration: Free
Conference date: 2 November 2023
Location: Jaarbeurs Utrecht, the Netherlands
Contact information: email@example.com
Deadline for abstracts: 30 June 2023, 23:59 hrs (CEST)