ODISSEI welcomes proposals for presentations on Computational Social Science to be given at its conference on 10 December 2024 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, policy application, 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, SANE);
• 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 minutes. In addition, there will be a poster session. Some presentations will have a flash talk format, with a short presentation of 5 minutes being delivered during a plenary session. Applicants can indicate the preferred format but we cannot guarantee that all preferences will be accommodated. There will be no pre-circulated papers. Presentations can be of published work, work in preparation for publication, or work in progress. Submissions are open to researchers from all career stages, including Ph.D. Candidates and Master students. Abstracts of up to 300 words should be submitted no later than 28 June 2024 (18:00 CEST).

Confirmed Keynote

Guido Imbens is an Applied Econometrics Professor and Professor of Economics at Stanford Graduate School of Business, Stanford University. His research focuses on developing methods for drawing causal inferences in observational studies using matching, instrumental variables, and regression discontinuity designs. For this work, Guido Imbens received the Nobel Prize (in 2021, together with David Card and Joshua Angrist).

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Conference registration: Free

Conference date: 10 December 2024

Location: Jaarbeurs Utrecht, the Netherlands

Deadline for abstracts: 28 June 2024 (18:00 CEST)

Contact information: communications@odissei-data.nl

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