Seasonal Schools (Summer & Winter)

Find summer and winter schools on relevant topics.

Computational Statistics

Course by University of St. Gallen on computational statistics focused on data mining and modeling of large, high-dimensional datasets using modern statistical and machine learning methods. Covers regression, nonparametric models, trees, splines, additive models, neural networks, and resampling techniques like bootstrap and cross-validation. Emphasizes model building, evaluation, and handling challenges

ICON•S Winter/Summer School

A ten-day programme by ICON•S – The International Society of Public Law in Sydney offering workshops, mentoring, and training for junior public law scholars on research, writing, publishing, and democratic institutions.

Toulouse Summer School in Quantitative Social Sciences

An interdisciplinary programme by Toulouse School of Economics & Institute for Advanced Study in Toulouse for PhD students in economics and social sciences, offering in-person training in quantitative social science methods.

SICSS-ODISSEI Summer School on Computational Social Science

A two-week intensive programme by ODISSEI, Erasmus Graduate School of Social Sciences and the Humanities and Erasmus University Rotterdam, offering advanced computational social science methods and group research projects.

Doctoral Research – Developing Transdisciplinary Practice

A programme by CHARM‑EU at Åbo Akademi University, Turku, Finland, training doctoral researchers in transdisciplinary approaches to real-world challenges.

Democracy in Crisis

Challenges to Democracy by University of Westminster: a module examining contemporary threats to democracy worldwide, including anti-politics in industrial nations and movements like the Arab Spring.

MethodsNET Summer School with CEU

An intensive programme by MethodsNET in partnership with Central European University offering research-methods courses for PhD and postdoctoral researchers, including text analysis, discourse networks, and multilevel modelling.

Democracy, Inequality and Minorities Summer School

A programme by University of Geneva examining inequalities in democratic systems, focusing on minority groups, participation, outcomes, and institutional solutions to enhance equality.

Digital Methods Summer School

Digital Methods Initiative Summer Course by Amsterdam University: an intensive program teaching internet research methods to study societal conditions and cultural change.

Foundations of Machine Learning with Applications in Python

Machine Learning Course by Tinbergen Institute & Business Data Science: a fast-paced introduction to machine-learning methods, covering theory and practical applications like regression, clustering, and neural networks, with hands-on case studies in Python.

Essex Summer School in Social Science Data Analysis

A programme by University of Essex offering courses in quantitative and qualitative social science methods, with opportunities to build skills and networking.

Democracy, Peace & Conflict Academy

A programme by Georgetown University exploring how democracies manage conflict, including elections, polarization, and peaceful power transitions through interactive learning.

Data Science: Statistical Programming with R

Introductory course on using R and RStudio for data manipulation, visualization, statistical analysis, and reproducible reporting with R Markdown. Covers tidyverse workflows, generalized linear models, and techniques like bootstrapping, with hands-on exercises for all levels by Utrecht University.

Digital Methods

Digital Methods Course by The University of Manchester: an introduction to digital research tools and techniques for studying culture and society, including their development, uses, and limitations.

Mixed Methods in Social Network Analysis

Social Network Analysis with Mixed Methods by The University of Manchester: a course combining qualitative and quantitative approaches to collect, analyse, and interpret social network data, linking theory with practical applications.

Data Analysis in R

Data Analysis with R by Vrije Universiteit Amsterdam: an intensive two-week course teaching R programming and statistical modeling, including linear and generalized linear models, PCA, clustering, and data interpretation through hands-on exercises and assignments.

Python Fundamentals for Machine Learning

Introduction to Machine Learning with Python by Aarhus University: a course covering Python programming, data handling, visualization, and core machine-learning concepts, including supervised and unsupervised learning, key algorithms, model evaluation, and hands-on implementation.

Data Science: Programming with Python

Python for Data Science by Utrecht University: a beginner-friendly course introducing Python programming, data handling with pandas, and data visualization with matplotlib, combined with hands-on exercises and project work.

Introduction to Multilevel Analysis

Course on multilevel analysis for continuous outcomes, focusing on hierarchical data structures where individuals are nested within social groups. Covers theory and applied examples, including multilevel modelling and extensions to longitudinal data analysis by Utrecht University.

New Media and the Digitalisation of Everyday Life

Digital Media in Modern Society by Amsterdam University: a 3-week program exploring how digital media shapes society, culture, politics, and everyday life, including its individual and societal impacts.

Data Science: Applied Text Mining and Natural Language Processing

Intensive course by Utrecht University Faculty of Social and Behavioural Sciences on text mining and NLP in social sciences, covering methods from preprocessing to deep learning with hands-on Python tools.

Data Visualisation with Python and AI

Data Visualization Course by Tallinn University: a two-week program teaching how to design, interpret, and communicate data through effective and ethical visualizations using theory, Python, and real-world projects.

Politics of Global Development

Politics and Development by UCL: a three-week module exploring the intersection of politics and global development, covering institutions, conflict, trade, aid, migration, and the role of donors and NGOs.

Statistics with R and RStudio

Introductory statistics course by University College London using R/RStudio, covering data analysis, visualization, and interpretation with no prior advanced math required. Includes topics from descriptive statistics and hypothesis testing to regression, multivariate analysis, and model optimization. Also examines proper use and limitations of statistics in real-world contexts.

GESIS Summer School in Survey Methodology

Summer School in Survey Methodology 2026 by GESIS: a leading program offering courses in survey design, data analysis, and research methods. Learn topics like questionnaire design, causal inference, data science, sampling, and software tools (R, Stata), while networking with international experts and peers.

Guardians of Democracy: Comparative Constitutional Law in an Age of Democratic Backsliding

Guardians of Democracy: Comparative Constitutional Law by Aarhus University: a course exploring how constitutional institutions and courts uphold democratic governance and respond to threats of democratic backsliding.

Strengthening Democracies: Building Resilience and Resistance to Information Disorders

Information Disorder and Media Resilience by University of Tartu: a two-week summer school examining disinformation, hybrid threats, and AI-generated content, combining media theory, critical analysis, and practical strategies to strengthen public discourse.

Survey Research: Design, Implementation and Data Processing

Introductory course on modern survey methodology covering design, data collection, questionnaire testing, and analysis techniques, including nonresponse and scale construction. Emphasizes best practices across all survey phases and explores international and longitudinal surveys with expert guidance by Utrecht University.

Survey Research: Statistical Analysis and Estimation

Advanced course on modern survey analysis covering estimation, survey quality, and reduction of Total Survey Error, with hands-on methods in R and applications to large-scale datasets. Focuses on sampling, nonresponse, weighting, and complex survey design, combining lectures with practical computer sessions by Utrecht University.

Content Analysis and Natural Language Processing

A one-week summer school workshop by USI Lugano offering hands-on training in content analysis and NLP using R on social science text data.

Introduction to Data Analytics in R

Introductory course by Maastricht University in data analytics using R and RStudio, focusing on basic programming, data management, analysis, and visualization for beginners with no coding background. Covers core R objects, control flow, and practical data handling through lectures and hands-on assignments in a condensed one-week format.

Introduction to Data Analytics in R – Online

Introductory online course by Maastricht University in data analytics using R and RStudio, focusing on basic programming, data management, analysis, and visualization for beginners with no coding background. Covers core R objects, control flow, and practical data handling through lectures and hands-on assignments in a condensed one-week format.

Introduction to Data Analytics in R

Introductory course by Maastricht University in data analytics using R and RStudio, focusing on basic programming, data handling, analysis, and visualization for complete beginners. Covers core R objects, control flow, and practical data work through lectures and hands-on tutorials.

Survey Design

Course by European Consortium for Political Research on survey design and methodology covering the full survey lifecycle, including sampling, questionnaire design, measurement, survey experiments, and data quality assessment using a Total Survey Error framework. Focuses on evaluating and improving survey validity and reliability through real-world examples, best practices, and hands-on

ECPR Methods School

An intensive programme by ECPR at Jagiellonian University offering expert-led training in quantitative, qualitative, and mixed research methods for social scientists.

Modelling the Dynamics of Intensive Longitudinal Data

Intensive Longitudinal Data Analysis Course by Utrecht University: an e-learning program on analysing behavioural data from ESM, EMA, and wearables, covering time series and multilevel modelling to study dynamic processes over time.

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