Erasmus Graduate School for Social Sciences and the Humanities

Cake and discussion at the Pavilion at Woudestein Campus.

We welcome you to Erasmus Graduate School of Social Sciences and the Humanities (EGSH). We host over 500 PhD candicates at our lively, spacious campuses in the cosmopolitan cities of Rotterdam and The Hague. 

We offer dozens of courses to nurture innovative and interdisciplinary research excellence. The diverse international backgrounds of our candidates enhance a vibrant academic community.

PhD support

We offer various services to support and guide PhD candidates throughout their project

About EGSH

We are a joint venture of several partners

Students talking on campus
  • EGSH News December 2025

    Erasmus Graduate School of Social Sciences and the Humanities newsletter for December 2025
    EGSH News december 2025
  • Call for submissions EGSH Awards 2025

    Submit your work and nominate your colleagues for the 2025 "Graduate School Awards for PhD Excellence"! Deadline: Friday 16 January 2026
    Awards 2025 news banner
  • PhD workshop: The (necro)political economy

    ESSB warmly invites PhDs from all faculties to discuss the concept of the (necro)political economy with Dr. Myriam Lavoie-Moore. 3 December 2025 10.00 – 11
    PhD workshop: The necropolitical economy

Upcoming courses

  • Philosophising your research

    How can philosophy contribute to major global transitions
  • How to get your article published

    Key terms: publishing skills, journal selection, dealing with peer reviews, using ORCID and the PURE repository, introductory course.
  • Making an academic poster: A beginner's guide

    Key terms: presenting skills, visual communication, graphic design with Canva and PowerPoint, introductory course, relevant for students in any PhD phase.
  • Programming with Python for researchers

    Key terms: qualitative research, qualitative data analysis, biographic data (textual or visual), positionality, introductory course
  • Brush up your SPSS skills

    Key terms: quantitative research, statistical methods, SPSS, introductory course, relevant for students in any PhD phase.
  • Generative AI (GenAI) for research and writing

    Key terms: generative AI (GenAI), Large Language Modules (LLM), ChatGPT, introductory course, relevant for students in any PhD phase.
  • Experience sampling: Opening the black box of daily life

    Key terms: quant. research, experience sampling methodology (ESM), designing intensive longitudinal studies, analysis of intensive longitudinal data (with R)
  • Doing the systematic literature review

    Key terms: analysis of literature, literature search, PRISMA, use of AI, write-up templates, ATLAS.ti, Elicit, ASreview, introductory course.
  • Q-methodology

    Key terms: qualitative and quantitative research, exploring subjectivities (such as beliefs and preferences) around complex and/or value-laden topics.
  • Data literacy through R: Managing and analysing data responsibly

    Key-terms: quantitative research, data lifecycle (acquire, clean, use/reuse, publish, preserve/destroy), FAIR-principles, R (analytic software).

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