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  • Free registration of new users for ODISSEI member organisations

    Free registration of new users for ODISSEI member organisations

    To apply, Project Leaders are requested to fill in a short form on the ODISSEI website stating which early career researcher they would like to have added to which project. If accepted, ODISSEI will then notify CBS of the additional researcher and the researcher will then be added to the specified project without having to…

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  • Microdata Access Grant

    Microdata Access Grant

    The Microdata Access Grant 2024 (MAG 2024-2) is currently open and will close on the 24th of October 2024, 15.00 (CEST). Learn more about the Call for Proposals and apply via the links below. Call for Proposals Submit your proposal Together with CBS, ODISSEI hosts an Information Event and Q&A Session to clarify the questions…

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  • PreFer data challenge: Predicting Fertility outcomes in the Netherlands

    PreFer data challenge: Predicting Fertility outcomes in the Netherlands

    A data challenge is a competition where many researchers work on the same dataset to make the best predictions of a well-defined outcome. Data challenges led to major progress in data science by fostering the development of new algorithms with increasing predictive ability. Data challenges can also accelerate scientific progress because the ability to compare…

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  • Modelling life outcomes through foundational machine learning Models

    Modelling life outcomes through foundational machine learning Models

    The project focused on a question of how well can we determine ex ante individuals’ life outcomes? Traditional low dimensional models employed in the social sciences prove of limited effectiveness when given such objective. We seek to improve the performance of such models by applying modern machine learning methods on CBS microdata. Neural network models…

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  • Country-Wide Agent-Based Epidemiological Modeling Using 17 Million Individual-Level Microdata

    Country-Wide Agent-Based Epidemiological Modeling Using 17 Million Individual-Level Microdata

    Calibration is a crucial step in developing agent-based models. Agent-based models are notorious for being difficult to calibrate as they can express various degrees of freedom when model parameters are unknown. Models that appear correctly calibrated to match macro-level observed data perform poorly when micro-level insights need to be inferred. As a result, policymakers cannot…

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  • The ODISSEI and ASReview Collaboration

    The ODISSEI and ASReview Collaboration

    ASReview and ODISSEI’s Social Data Science Team (SoDa) cooperate to support researchers who use or want to use ASReview LAB. Via this collaboration, you can make use of the following services: Do you need help right away? If you are using ASReview and need help right away, go to the extensive documentation or the discussion platform and ask your question! Picture…

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  • Grant application support

    Grant application support

    Expertise present in ODISSEI spans from data linkages, data management and supercomputing, to support in applying computational methods. We closely collaborate with many well-established institutions in the Netherlands, such as CBS, Centerdata (host of the LISS panel study) and SURF, all of which have the dedicated expertise needed to successfully complete complex research projects. Potential…

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  • Data collection

    Data collection

    The following surveys and panels are currently financed by ODISSEI in the Netherlands: Photo by ODISSEI on Unsplash

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  • ODISSEI Portal

    ODISSEI Portal

    The ODISSEI Portal allows researchers to find high-quality metadata from the most important Dutch social science data collections. Currently, the Portal includes metadata of the microdata catalogue of Statistics Netherlands (CBS), the LISS panel, the DANS SSH Data Station, the Historical Sample of the Netherlands (HSN) and DataverseNL. An expansion to include metadata from all…

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  • Strategic development

    Strategic development

    ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations) leads innovative projects to enhance research in the social sciences and humanities. Supported by significant funding from the Dutch Research Council (NWO), ODISSEI advances computational social science through the NWO Roadmap for Large-scale Research Infrastructures, involving 34 partner organisations. This effort, structured around four work…

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