Erasmus Graduate School of Social Sciences and the Humanities

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

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
- Wednesday 19 Nov 2025
- Call
EGSH News November 2025
Erasmus Graduate School of Social Sciences and the Humanities newsletter for November 2025
- Monday 10 Nov 2025
- General
Technical issues course pages EGSH website
Update: we were able to - for the most part - solve the technical issues. The correct dates, descriptions and registration links are working again.
- Monday 28 Jul 2025
- General

Challenges for supervisors: “Safeguarding your PhD candidates’ academic freedom”
A workshop for supervisors of PhD candidates to explore how they can actively support and protect their PhD's academic freedom.
- Tuesday 10 Feb 2026, 10:00 - 11:00
- Workshop
Onboarding session for PhD candidates (Edition 3)
In our onboarding sessions we like to welcome all new PhD candidates to the Erasmus Graduate School of Social Sciences and the Humanities (EGSH).
- Tuesday 3 Mar 2026, 10:00 - 11:00
- Introduction
Onboarding session for PhD candidates (Edition 4)
In our onboarding sessions we like to welcome all new PhD candidates to the Erasmus Graduate School of Social Sciences and the Humanities (EGSH).
- Tuesday 3 Mar 2026, 11:30 - 12:30
- Introduction

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.
- Multiple Start Dates (2)
  First: Monday 26 Jan 2026
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)
- Start date
  Tuesday 27 Jan 2026
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.
- Multiple Start Dates (2)
  First: Monday 2 Feb 2026
Q-methodology
Key terms: qualitative and quantitative research, exploring subjectivities (such as beliefs and preferences) around complex and/or value-laden topics.
- Start date
  Tuesday 3 Feb 2026
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).
- Start date
  Wednesday 4 Feb 2026
English academic writing for PhD candidates
Key terms: publishing skills, clear and structured English phrasing, organising an academic paper, introductory course, relevant for students in any PhD phase.
- Multiple Start Dates (2)
  First: Monday 2 Mar 2026
Mixed-methods research: How to combine diverse quantitative and qualitative methods
Key terms: mixing qualitative and quantitative methods, designing research, introductory course, relevant for students in any PhD phase.
- Start date
  Monday 2 Mar 2026
Research synthesis and meta-analysis
Key terms: quantitative research, research synthesis, meta-analysis, advanced course, relevant for students in any PhD phase.
- Start date
  Wednesday 4 Mar 2026
Qualitative coding and analysis of textual data with ATLAS.ti
Key terms: qualitative research, coding textual data, inductive, ATLAS.ti, introductory course, relevant for students in any PhD phase.
- Start date
  Thursday 5 Mar 2026
Structural equation modelling
Key terms: quantitative research, structural equation modelling, correlational analysis, causality, R-lavaan software package, introductory course.
- Start date
  Thursday 5 Mar 2026

Erasmus Graduate School for Social Sciences and the Humanities

PhD support

About EGSH

News

Call for submissions EGSH Awards 2025

EGSH News November 2025

Technical issues course pages EGSH website

Events

Challenges for supervisors: “Safeguarding your PhD candidates’ academic freedom”

Onboarding session for PhD candidates (Edition 3)

Onboarding session for PhD candidates (Edition 4)

Upcoming courses

Generative AI (GenAI) for research and writing

Experience sampling: Opening the black box of daily life

Doing the systematic literature review

Q-methodology

Data literacy through R: Managing and analysing data responsibly

English academic writing for PhD candidates

Mixed-methods research: How to combine diverse quantitative and qualitative methods

Research synthesis and meta-analysis

Qualitative coding and analysis of textual data with ATLAS.ti

Structural equation modelling

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