Check out the updated list for this year!
COVID-19 update: I have tried to update the information bellow based on the information on the summer school websites (as of 07/05/2020). Please visit the websites of the organizers to get the latest information.
Winter is ending and we are considering what exciting things we’ll do this summer. One option is to go to one of the many summer schools on research methods that are available in Europe. These have become very popular recently and there are quite a few of them around now. To help you with the decision I listed bellow the main methods summers schools available in 2020. Here I focus on those summer schools that cover the analysis and collection of data in the social sciences. Bellow are the main summer schools I found. Happy learning!
Content
- Barcelona Summer School in Survey Methodology (online)
- Barcelona Summer School of Demography (canceled)
- ECPR Summer School (online – schedule may change)
- Essex Summer School (online)
- GESIS summer school in survey methodology (online – schedule may change)
- GSERM (online)
- LSE Summer School (partially canceled)
- Methods@Manchester summer school (canceled)
- Swiss summer school (online and face to face)
- Utrecht Summer School (online and face to face)
Details of methods summer schools in Europe
Barcelona Summer School in Survey Methodology
(online)
Dates: 27 June – 10 July 2020
Location: Barcelona, Spain
Costs: 115€ – 550€
Courses:
- Introduction to R
- Introduction to STATA
- Multilevel 1
- Multilevel 2
- Questionnaire design
- Probability sampling methods
- Causal inference 1
- Causal inference 2
- Big Data 1
- Big Data 2
- Advanced Regression Model & Analysis
- Social Networks
- Machine Learning for Social Sciences
- Paradata and sensor data
- Multiequation Models & Analysis
Barcelona Summer School of Demography
(canceled)
Dates: 26 June – 24 July 2020
Location: Barcelona, Spain
Costs: 300€ – 1000€
Courses:
ECPR Summer School
(online – schedule may change)
Dates: 31 July – 14 August 2020
Location: Budapest, Hungary
Costs: 281-1495 euro
Courses:
- R Basics
- Python Programming for Social Scientists
- Introduction to STATA
- Refresher in Regression
- Introduction to Exploratory Network Analysis
- Introduction to NVivo for Qualitative Data Analysis
- Introduction to Case-Based Research and Set-Theoretic Thinking
- Structural Equation Modelling with Partial Least Squares Using Stata and R
- Introduction to Historical Methods
- Comparative Historical Analysis
- Introduction to Interpretive Research Designs
- Multi-Method Research: Techniques and Applications
- Methods in Political Theory and Normative Analysis
- Case Study Research: Method and Practice
- Introduction to Process Tracing Methodology
- Process Tracing Methodology in Practice
- Qualitative Comparative Analysis and Fuzzy Sets
- Experimental Research: Theory Development, Hypothesis Generation and Empirical Tests
- Causal Inference in the Social Sciences I
- Rethinking Comparisons: New Perspectives on What, How, and Why to Compare
- Causal Inference in the Social Sciences II
- Expert Interviews for Qualitative Data Generation
- Studying the Visual as Discourse and Politics
- Ethnographic and Other Field Research Methods: Introduction
- Ethnographic and Other Field Research Methods: Advanced
- Automated Collection of Web and Social Data
- Machine Learning with Big Data for Social Scientists
- Survey and Questionnaire Design
- Introduction to Inferential Statistics
- Multiple Regression Analysis: Estimation, Diagnostics, and Modelling
- Qualitative Data Analysis: Concepts and Approaches
- Analysing Political Discourse I: Theories, Concepts and Research Designs
- Analysing Political Discourse II: Analyses and Applications
- Introduction to Quantitative Text Analysis
- Multivariate Statistical Techniques for Comparing Countries
- Logistic Regression and General Linear Models: Binary, Ordered, Multinomial and Count Outcomes
- Social Networks: Theoretically Informed Analysis with UCINET
- Intermediate R: Capacities for Analysis and Visualisation
- Advanced Quantitative Text Analysis
- Advanced Topics in Applied Regression
- Applied Multilevel Regression Modelling
- Social Network Analysis and Visualization with R
- Introduction to Structural Equation Modelling
- Panel Data Analysis
- Causal Mediation Analysis
- Multilevel Structural Equation Modelling
- Maths for Social Scientists
- Philosophy and Methodology of the Social Sciences
- Research Ethics
- Visualization of Information for Social Science Research
Essex Summer School
(online)
Dates: 13 July – 21 August 2020
Location: Colchester, UK
Costs: 550-1100 pounds
Courses:
- Introduction to R
- Mathematics for Social Scientists, Part 1
- Introduction to Quantitative Text Analysis
- Applying Regression
- Introduction to Social Network Analysis
- Introduction to Multilevel Models
- Introduction to Survey Data Analysis
- Longitudinal Data Analysis
- Qualitative Data Analysis: Methodologies for Analysing Text and Talk
- Introduction to Qualitative Interviewing
- Beyond OLS: Categorical, Choice, and Count Models
- Introduction to Quantitative Methods in R
- Introduction to Statistics for Social Science Research with SPSS
- Data Analysis and Programming in Stata
- Methods for Fieldwork in Social Science
- Introduction to GIS, Geospatial Data and Spatial Analysis
- Introduction to Causal Inference, Measurement, and Qualitative Research Design
- Introduction to Big Data for the Social Sciences
- Mathematics for Social Scientists, Part 2
- Quantitative Data Analysis with R
- Advanced Survey Data Analysis and Survey Experiments
- Case Study Methods
- Multilevel Models: Practical Applications
- Advanced Methods for Social Media & Textual Data
- Panel Data Analysis for Comparative Research
- Mixed Methods Research
- Applying Discourse Theory – Politics, Ideology, Populism
- Machine Learning for Social Scientists
- Causal Inference and Experiments in the Social Sciences
- Generalized Linear Models
- Introduction to Applied Bayesian Analysis for the Social Sciences
- Confirmatory Factor Analysis and Structural Equation Modeling with MPLUS
- Ethnography and Ethnographic Methods
- Advanced Social Network Analysis
- Quantitative methods for surveying hard-to-reach populations
- Survival Analysis and Event History Modelling
- Mathematics for Social Scientists, Part 3
- Quantitative Text Analysis
- Doing Discourse Analysis: Neoliberalism, Populism and Radical Democracy
- Computational Methods for Social Data Science
- Maximum Likelihood Estimation
- Bayesian Analysis for the Social and Behavioural Sciences
- Quantitative Methods for Causal Inference and Policy Evaluation
- Spatial Econometrics
- Web Scraping and Data Management in R
- Advanced Quantitative Data Analysis
- Time Series and Panel Models for Dynamic and Heterogeneous Processes
- Scaling Methods and Ideal Point Estimation
- Advanced Machine Learning for Social Scientists
GESIS summer school in survey methodology
(online – schedule may change)
Dates: 30 July – 21 August 2020
Location: Cologne, Germany
Costs: 160-1200 euro
Courses:
- Introduction to Stata for Data Analysis
- Using Mplus for Latent-Variable Modeling: An Introduction
- Research Designs and Causal Inference
- Introduction to Structural Equation Modeling
- Introduction to R for Data Analysis
- Mathematical Tools for Social Scientists: A Refresher Course with R
- Introduction to Survey Design
- Applied Multiple Imputation
- Web Survey Design
- Applied Systematic Review and Meta-Analysis
- Questionnaire Design
- Survey Sampling and Weighting
- Designing, Implementing, and Analyzing Longitudinal Surveys
- Mixed Methods and Multimethod Research
GSERM
(online)
Date: 28 May – 19 June
Location: St. Gallen, Switzerland
Costs: CHF 1100 – CHF 4400
Courses:
- Workshop Lectures on Statistics with R
- Workshop Lectures on Applied Maths & Matrix Algebra
- Workshop Lectures on Regression
- Advanced Microeconometrics
- Regression I – Introduction
- Analyzing Unstructured Data
- Basic and Advanced Multilevel Modeling with R and Stan
- Qualitative Research Methods & Data Analysis
- Machine Learning with R – Introduction
- Time Series Analysis – Introduction
- Foundations of Machine Learning and Regression Methods for Categorical Outcomes
- Introduction to Biostatistics
- Analyzing Survey Research Data
- Statistical Learning and Applications
- Structural Equation Models I
- Bayesian Data Analysis
- Experimental Methods for Behavioral Science
- Network Analysis – Statistical Analysis of Social Network Data
- Regression Analysis II – Linear Models
- Case Study Methods
- Machine Learning with R – Advanced
- Advanced Biostatistics
- Mediation, Moderation, and Conditional Process Analysis I
- Text Mining
- Deep Learning: Fundamentals and Applications
- Econometrics of Big Data
- Structural Equation Models II – Advanced Methods
- Qualitative Comparative Analysis
- Data Mining in Business
- Big Data in R: SQL, Spark, NoSQL
- Regression for Publishing
- Mediation, Moderation, and Conditional Process Analysis II
- Regression Analysis for Spatial Data
- Randomized Clinical Trials: General Concepts and Statistical Aspects
LSE Summer School
(partially canceled)
Dates: 22 June – 21 August 2020
Location: London, UK
Costs: 2500-3400 pounds
Courses:
- Introduction to Calculus
- Essential Statistics for Economics and Econometrics
- Computational Methods in Financial Mathematics
- Social Network Analysis
- Statistical Methods for Multivariate Data in Social Science Research
- Machine Learning in Practice
- Real Analysis
- Forecasting Methods for Big Time Series Data
- Theoretical Foundations of Data Science and Machine Learning
- Further Statistics for Economics and Econometrics
- Optimization with Applications in Portfolio Choice
- Introduction to Financial Mathematics
- Qualitative Research Methods
- Statistical Methods in Risk Management
Methods@Manchester summer school
(canceled)
Dates: 29 June – 10 July 2020
Location: Manchester, UK
Costs: 600-1000 pounds
Courses:
- Quantitative policy evaluation
- Data visualization
- Introduction to social network analysis
- Getting started with R
- Introduction to longitudinal data analysis using R
- Creative approaches to qualitative research
- Generalized linear models
- Mixed-methods and triangular research
Swiss summer school in social science methods
(online and face to face)
Dates: 14 – 28 August 2020
Location: Lugano, Switzerland
Costs: 700-1100 swiss francs
Courses:
- SPSS and Statistics Refresher
- Visual Thinking for (PhD) researchers
- Quantitative methods for Social Research
- Introduction to panel methods
- Designing Your (Academic) Future
- Case Studies: Design, Methods, and Reporting
- Qualitative Interviewing
- Evaluation Methods
- Multilevel Analysis
- Panel data analysis using the Swiss Household Panel
- Discourse Theory and Analysis
- Survey Methods and Questionnaire Design
- Structural Equation Modeling (SEM)
- Content Analysis and Natural Language Processing
Utrecht Summer School
(online and face to face)
Dates: 08 April – 23 August 2020
Location: Utrecht, Netherlands
Costs: 250-600 euro
Courses:
- Mplus: How to get started?
- Applied Bayesian Statistics
- Introduction to GIS for Human and Behavioral Scientists
- Data Science: Statistical Programming with R
- Hypothesis Testing 3.0
- Introduction to Structural Equation Modeling using Mplus
- Introduction to Multilevel Analysis
- Sense making of GPS Data in a GIS environment
- Data Science: Multiple Imputation in Practice
- Advanced Multilevel Analysis
- Advanced Course on using Mplus
- Data Science: Data Analysis
- Survey Research: Design, Implementation and Data Processing
- Modeling the Dynamics of Intensive Longitudinal Data
- Applied Multivariate Analysis
- Survey Research: Statistical Analysis and Estimation
- Research design for Experimental Linguists
- Advanced Survey Design
- Eye Tracking Research Toolbox
Is a summer school missing or did I get something wrong? Write bellow!
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