2nd Summer School in Social Research Methods (3SRM) - June 19-30, 2023 (in-person) + June 12-16 (online), hosted by Radboud University in Nijmegen, Netherlands (MethodsNET Flagship Event)

38 specialized PhD-level main courses, in-person (week 1: June 19-23; week 2: June 26-30) covering the full span of methods from big data to statistical to comparative/case-based to interpretive/qualitative, plus some foundational courses; these are preceded by two pre-week 1 online software courses (June 12-16). The registration fee also includes access to an all-day educational program, with leading experts teaching 5 free short courses on philosophy of science, research approaches and designs, math refresher, data visualization and the handling of missing data. The package also includes a lively 'Methods Café' to cross perspectives, and free lunches :-). Join us at our flagship event organized in collaboration with the Radboud Summer School and the Nijmegen School of Management! The event website is now 'live' and registrations are open :-). Early bird registration deadline: 1 March.

Look at our 2023 3SRM course offer below -- the broadest and most pluralistic offer worldwide, with multiple useful week 1 - week 2 sequences.

Discover the Summer School flyer and the bird's eye view programme, enabling you to identify useful week 1 - week 2 sequences (there are many!). And watch the video on our YouTube channel explaining in short the whole logic of the programme, training package and pedagogy.

Pre-Week 1 Online Software Courses (June 12-16)

  • Crash course in R (Ákos Máté)

  • Python (Orsolya Vásárhelyi)

Foundational Courses

  • Concepts and Conceptualization: Building Blocks of Social Science (Saskia Ruth-Lovell - week 1)

  • Multi-method Research: Techniques & Practice (Erin Jenne - week 1)

  • Pluralist Case Study Designs for Qualitative Researchers (Bareerah Hoorani - week 2)

  • Gaming approaches for Analysing and Supporting Complex Decision-Making (Sander Lenferink, Femke Bekius, Merel van der Wal, Ary Samsura, Marieke de Wijse - week 2)

Interpretive/Qualitative Approaches

  • Interpretive Research Methods (Marie Østergaard - week 1)

  • Interpretive Research: from Fieldwork to Textwork (Cai Wilkinson - week 2)

  • Qualitative Data Analysis: Concepts and Techniques (Anka Kekez - week 1)

  • Qualitative Data Analysis: Research Designs and Practices (Anka Kekez - week 2)

  • Qualitative Interviewing -- Experts (Alenka Jelen - week 2)

  • Critical Discourse Analysis: Texts, Contexts and Power (Sam Bennett - week 1)

  • Rethinking Comparison: Reinventing How and Why to Do Comparative Research (Nicholas Smith - week 2)

  • Ethnography and Field Work (Mathilde Cecchini - week 1)

Case-based & Comparative Approaches

  • Comparative Research Designs (Benoît Rihoux - week 1)

  • Qualitative Comparative Analysis (QCA): Performing Basics and Advanced Analyses using R (Ioana Elena Oana & Carsten Q. Schneider - over two weeks)

  • Process Tracing Methods (Derek Beach & Hilde van Meegdenburg - over two weeks)

  • Comparative Historical Analysis: Using History to Enrich Social Inquiry (Markus Kreuzer - week 1)

  • Analytical Pragmatism: An Introduction to Relational Social Science (Patrick Thaddeus Jackson - week 1)

  • Applied Evaluation Research Design and Methods (Benedict Wauters - week 2)

Statistical Approaches

  • Introduction to R (Ákos Máté - week 2)

  • R for Advanced Users (Ákos Máté - week 1)

  • Survey and Questionnaire Design (Júlia Koltai - week 2)

  • Doing Intersectional Quantitative Research (Niels Spierings - week 2)

  • Introduction to Regression and Inferential Statistics (Levente Littvay - week 1)

  • Regression 2: Logistic Regression and General Linear Models: Binary, Ordered, Multinomial and Count Outcomes (Júlia Koltai - week 1)

  • Multilevel Regression Analysis with R (Rob Eisinga - week 2)

  • Panel Data Analysis (Andrew Li - week 1)

  • Structural Equation Modelling (William van der Veld - week 1)

  • Advanced Structural Equation Modelling (Levente Littvay - week 2)

  • Randomized Experimental Methods: Survey, Lab, Field & Conjoint Experiments (Dániel Kovarek - week 1)

  • Causal Inference with Natural Experiments: DiD, RDD, IV, & Matched Designs (Ryan T. Moore - week 2)

  • Introduction to Necessary Condition Analysis (NCA) (Stefan Breet & Jan Dul - week 2)

Big Data Courses

  • Big Data: Collecting Web Data with R (Hauke Licht - week 2)

  • Applied Social Network Analysis (Silvia Fierascu - week 1)

  • Discourse Network Analysis (Philip Leifeld - week 1)

  • Inferential Network Analysis (Philip Leifeld - week 2)

  • Introduction to Text as Data (Fabienne Lind - week 2)

  • Introduction to Machine Learning for Social Scientists (Jens Waeckerle - week 2)

  • Advanced Text Analysis (Petro Tolochko - week 2)

More MethodsNET events coming soon!

Upcoming MethodsNET endorsed events (encouraging excellence, pluralism & not-for-profit)

Besides organizing or co-organizing its own events, MethodsNET is keen on encouraging excellence in methods training, by endorsing other events that meet three core criteria in line with our guiding principles: (1) providing excellence in training; (2) embracing methodological pluralism; and (3) following a not-for-profit logic and making training accessible at an affordable cost.

Running for a second time, the courses are designed to provide participants with excellent, inclusive, and affordable methods training and bring the methodological aspects of their research projects to the next level. Visit the KOMEX website!

In-person courses (March 6-10): Comparative Case Study Design (Eva Thomann), Mathematics for Political Science (Jan Vogler), Applied Data Management for Social Scientists (Eda Keremoglu, Anna-Lena Hönig), Crowd-Sourced Text Analysis (Alex Horn, Martin Haselmayer)

Online courses (March 6-10): QCA (Ioana-Elena Oana, Carsten Q. Schneider), Introduction to Causal Process Tracing (Derek Beach), Introduction to Interpretive Research (Mathilde Cecchini), Survey Design (Levente Littvay)

Online Short Course (March 2-3): A Basic Introduction to R for Beginners (Akos Mate)

More coming soon!

If you want your event to be endorsed by MethodsNET: please send a short event description and a bit of background documentation about these three criteria to:

(See some of our past events) !

MethodsNET events: what we offer

We are organizing, jointly organizing or endorsing methods excellence training events.

Excellence and innovation in methodology and pedagogy: training is provided by outstanding methods experts who are also excellent pedagogues, the pedagogical formula enables small-group interaction and individual advice/tutoring, and courses are systematically evaluated by participants. We encourage the development of emerging methods and the consolidation of more established methods. We believe that methodological innovation contributes to the further consolidation of social scientific disciplines and to their contribution to addressing real-world issues.

Access, inclusiveness, and non-profit logic: our events embody the principles of methodological pluralism, debates and innovation, via a broad course offer (including emerging methods and ‘niche’ topics) and diverse opportunities to engage in cross-methods debates and to learn/think about attached epistemological issues. We strive to provide access to participants from locations/institutions with less financial resources. The business model is aiming at breaking even after all the costs have been covered. Profit, if any, is re-invested in a way that contributes to meeting our principles via the next events.

Methodological pluralism and inclusiveness: each one of the diverse social scientific methods and techniques, along with its epistemology, has its own added value and contribution for scholarly work. We encourage and foster debates and cross-fertilizations between different methodologies across social scientific disciplines.