Épisodes

  • Historical Data Linkage with Kristina Thompson
    Jan 15 2026

    In this episode, we talk with Kristina Thompson from Wageningen University about the intersection of historical data and public health research. She explains why the Netherlands has such rich data resources, how historical trends illuminate health and society even today, and how automation can help improve the records. Kristina also shares her experience working with Delpher, the digitised historical newspaper archive, as well as other historical archival collections.
    Affiliations:

    • Kristina Thompson, Assistant Professor at the University of Wageningen.
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam

    Useful links:
    https://www.delpher.nl/
    https://www.wur.nl/nl/personen/km-kristina-thompson

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    28 min
  • AI and the Future of Social Science Infrastructures with Merce Crosas
    Dec 8 2025

    In this episode, we talk with Mercè Crosas, Director of Computational Social Sciences at the Barcelona Supercomputing Center and President of CODATA, about how AI is shaping the future of social science infrastructure. She reflects on her path into computational social science, explains what research infrastructures do and why they matter, and discusses how AI is already improving data access, discovery, and analysis. Mercè also explores what “AI-ready” infrastructures look like, how tools like Dataverse may evolve, and what skills researchers will need in an AI-driven research landscape.

    Affiliations:

    • Dr Mercè Crosas – Director of Computational Social Science and Humanities (CSSH) Lab at Barcelona Supercomputing Center (BSC). She also serves on the CODATA board and co-founded Dataverse.
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam

    Useful links:
    https://www.bsc.es/
    https://codata.org/
    https://dataverse.org/

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    36 min
  • Research Software Engineering support with Netherlands eScience Center
    Nov 12 2025

    In this episode, we talk with Flavio Hafner and Malte Luken from the eScience Center about how Research Software Engineering supports social science research. They discuss what RSEs do, how computational tools can transform projects, and how they help make research reproducible and sustainable. Flavio and Malte also share examples from real-world social science projects, explain the collaboration between RSEs and researchers, and explore the future opportunities for software-driven social research.

    Affiliations:

    • Flavio Hafner – Research Software Engineer at the Netherlands eScience Center. He works at the intersection of applied statistics, machine learning and social sciences
    • Malte Lüken – Research Software Engineer at the Netherlands eScience Center. Malte is experienced in writing, evaluating and optimizing computational models in the domain of social sciences.
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam

    Useful links:
    https://www.esciencecenter.nl/

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    31 min
  • Data Archiving with Ricarda Braukmann
    Oct 15 2025

    In this episode, Tom Emery talks with Ricarda Braukmann from DANS about how data archiving supports open and trustworthy science. They discuss why repositories matter, how researchers can make their data reusable, and how tools like AI are changing the field. Ricarda also shares insights into CoreTrustSeal certification, the ODISSEI Portal, and how European collaborations like CESSDA help shape the future of data sharing.

    Affiliations:

    • Ricarda Braukmann, PhD – Data Station Manager Social Sciences at DANS.
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam

    Useful links:
    https://portal.odissei.nl/
    https://www.cessda.eu/
    https://www.coretrustseal.org/

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    38 min
  • Open Probability Panels with Marcel Das
    Sep 9 2025

    In this episode of the ODISSEI podcast, we’re joined by Marcel Das to dive into the world of open probability panels through the LISS Panel. Marcel explains what a probability-based survey is, how panels differ from traditional surveys, and what makes LISS unique as an “open” panel.

    We’ll explore the types of studies carried out in LISS, how researchers can access the data, and how it connects with CBS microdata for more powerful analyses. Marcel also reflects on international collaborations, new approaches like data donation and online experiments, and the biggest challenges of running a panel of this scale.

    Affiliations:

    • Marcel Das – Director of Centerdata since 2000. Before joining Centerdata, he worked as a senior researcher with CentER Applied Research, an institute for applied economic research affiliated with Tilburg University.
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam

    Useful links
    https://www.centerdata.nl/
    https://www.lissdata.nl/

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    30 min
  • Trusted Research Environments with Lucas van der Meer
    Aug 14 2025

    In this episode, we unpack the basic concept of a Trusted Research Environment, what it is, why it matters, and how it can enable secure, high-quality research. We explore how ODISSEI is advancing TREs through the SANE Project, and how this work connects with key data sources such as LISS and CBS.

    Affiliations:

    • Lucas van der Meer – CTO of ODISSEI.
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam.

    Useful links:
    https://odissei-data.nl/facility/secure-analysis-environment-sane/

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    27 min
  • SHARE with Bella Struminskaya
    Jul 18 2025

    In this episode of the ODISSEI podcast, we’re joined by Bella Struminskaya to dive into the Survey of Health, Ageing and Retirement in Europe (SHARE). Bella explains what SHARE is, why it was created, and the vital role it plays in understanding the lives of older Europeans.


    We’ll explore the history of SHARE, what makes this study so valuable for researchers and policymakers, and the challenges it faces moving forward. We also discuss how ODISSEI supports SHARE, and how it connects to other data infrastructures like LISS, CBS microdata, and more.

    Affiliations:

    • Bella Struminskaya – Associate Professor at the Department of Methodology & Statistics, Utrecht University. She is a country team lead for the Survey of Health, Ageing and Retirement in Europe (SHARE ERIC)
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam

    Useful links:
    https://share-eric.eu/

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    34 min
  • FAIR Data with Angelica Maineri
    Jun 12 2025

    In this episode, Tom Emery is joined by Angelica Maineri to talk about data and FAIR principles. Here, we explore the core idea of FAIR Data: what it really means and how ODISSEI is working to build infrastructure that puts FAIR principles into practice.

    Affiliations:

    • Angelica Maineri – Data Manager at ODISSEI
    • Dr. Tom Emery – Executive Director of ODISSEI, the Dutch National Infrastructure for Social Science; Associate Professor, Department of Public Administration and Sociology of Erasmus University, Rotterdam

    Useful links
    https://odissei-data.nl/facility/odissei-fair-support/
    https://www.nature.com/articles/sdata201618


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    26 min