Check out the updated list for this year!
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 2021. 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 of Demography
- Essex Summer School
- GESIS summer school in survey methodology
- GSERM
- LSE Summer School
- Methods@Manchester
- RECSM Summer Methods School
- Swiss summer school
- Utrecht Summer School
Details of methods summer schools in Europe
Barcelona Summer School of Demography
(hybrid)
Dates: 26 June – 24 July
Location: Barcelona, Spain/Online
Costs: €300 – €1000
Courses:
Essex Summer School
(online)
Dates: 11 July – 20 August
Location: Online
Costs: £900-£1500
Courses:
- Introduction to R
- Mathematics for Social Scientists, Part 1
- Introduction to Quantitative Text Analysis
- Introduction to Regression
- Introduction to Social Network Analysis
- Introduction to Multilevel Models
- Introduction to Statistics for Survey Data Analysis
- Longitudinal Data Analysis
- Qualitative Data Analysis: Methodologies for Analysing Text and Talk
- Qualitative Interviewing
- Beyond OLS: Categorical, Choice, and Count Models
- Introduction to Programming in Python for Social Scientists
- Web Scraping and Data Management in R
- Data Analysis and Programming in Stata
- Methods for Fieldwork in Social Science
- Doing Discourse Analysis
- Introduction to GIS, Geospatial Data and Spatial Analysis
- Introduction to Longitudinal Data Research Using R
- Quantitative methods for surveying hard-to-reach populations
- 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
- Machine Learning for Social Scientists
- Causal Inference and Experiments in the Social Sciences
- Introduction to Quantitative Methods in R
- Introduction to Applied Bayesian Analysis
- Confirmatory Factor Analysis and Structural Equation Modeling
- Advanced Methods for Text as Data
- Introduction to Statistics for Social Science Research with SPSS
- Ethnography and Ethnographic Methods
- Advanced Social Network Analysis
- Survival Analysis and Event History Modelling
- Mathematics for Social Scientists, Part 3
- Quantitative Text Analysis
- 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
- 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
- Agent Based Models
GESIS summer school in survey methodology
(online)
Dates: 28 July – 20 August
Location: Online
Costs: €160-€1200
Courses:
- Introduction to Stata for Data Analysis
- Using Directed Acyclic Graphs for Causal & Statistical Inference
- Pretesting Survey Questions
- Introduction to Survey Design
- Questionnaire Design
- Introduction to R for Data Analysis
- Survey Sampling and Weighting
- Statistical Analysis of Incomplete Data
- Design and Implementation of Web Surveys
- (Non-)Probability Samples in the Social Sciences
- Designing, Implementing, and Analyzing Longitudinal Surveys
- A (Short) Course on (Short) Scale Development
- Mixed-Methods and Multimethod Research
- Collecting and Analyzing Longitudinal Social Network Data
GSERM
(online)
Date: 3 June – 25 June
Location: Online
Costs: CHF 800 – CHF 3000
Courses:
- Case Study Methods
- Advanced Microeconometrics
- Data Scraping and Management for Social Scientists with R
- Basic and Advanced Multilevel Modeling with R and Stan
- Foundations of Machine Learning and Regression Methods for Categorical Outcomes
- Visualizing and Communicating Data with R
- Machine Learning with R – Introduction
- Regression I – Introduction
- Introduction to Time Series Analysis
- Bayesian Data Analysis
- Analyzing Survey Research Data
- Biostatistics
- Introduction to Structural Equation Models
- Mediation, Moderation, and Conditional Process Analysis I
- Analyzing Panel Data
- Machine Learning with R – Advanced
- Regression Analysis II – Linear Models
- Econometrics of Big Data
- Qualitative Comparative Analysis
- Experimental Methods for Behavioral Science
- Analyzing Unstructured Data
- Text Mining
- Randomized Clinical Trials: General Concepts and Statistical Aspects
- Advanced Case Study Methods: Explicit Bayesian Process Tracing
- Regression Analysis for Spatial Data
- Deep Learning: Fundamentals and Applications
- Theoretical Aspects of Machine Learning
- Regression for Publishing
- Advanced Structural Equation Models
- Qualitative Research Methods & Data Analysis
- Network Analysis – Statistical Analysis of Social Network Data
- Mediation, Moderation, and Conditional Process Analysis II
LSE Summer School
(Online)
Dates: 21 June – 20 August
Location: Online
Costs: £2500 – £3400
Courses:
- Essential Statistics for Economics and Econometrics
- Computational Methods in Financial Mathematics
- Introduction to Data Science and Machine Learning
- Real Analysis
- Machine Learning in Practice
- Further Statistics for Economics and Econometrics
Methods@Manchester Summer School
(Online)
Dates: 21 June – 9 July
Location: Online
Costs: £180 – £300
Courses:
- Introduction to longitudinal data analysis using R
- Creative approaches to qualitative research
- Introduction to Social Network Analysis
- Creative academic writing
- Advanced Social Network Analysis
RECSEM Summer Methods School
(online)
Dates: 28 June – 16 July
Location: online
Costs: 115€ – 550€
Courses:
- R
- STATA
- Python
- Regression analysis
- The quantitative methods of empirical social research
- Multilevel 1 (Introduction to multilevel models)
- Causal inference
- Structural Equation Modeling
- Probability sampling methods
- Multilevel 2 (Analyzing Comparative Longitudinal Survey Data Using Multilevel Models)
- Big data 1
- Machine Learning for Social Sciences
- Social Networks
- Experiments in Social Science: Survey experiments
- Questionnaire design
- Big data 2 (Predictive analytics)
Swiss summer school in social science methods
(online)
Dates: 13 – 27 August
Location: Online
Costs: 700-1100 Swiss Francs
Courses:
- SPSS and Statistics Refresher
- Visual Thinking for (PhD) researchers
- R-Data-Bootcamp
- Quantitative methods for Social Research
- Panel data and non-linear models
- Design Thinking for Research
- Qualitative analyses of interview data
- Multilevel Analysis
- Content Analysis and Natural Language Processing
- Latent Class & Factor Analysis
- Qualitative Methods
- Argumenting Science
- Mixed Methods Research and Design
- Qualitative Comparative Analysis
- Ethnographic methods
- Structural Equation Modeling
- Multilevel Structural Equation Modeling
- Data Management for sensitive data in the era of Open Science
Utrecht Summer School
(online)
Dates: 08 April – 23 August
Location: Utrecht, Netherlands
Costs: €200 – €860
Courses:
- Advanced Survey Design
- Advanced Multilevel Analysis
- Applied Multivariate Analysis
- Introduction to Multilevel Analysis
- Survey Research: Design, Implementation and Data Processing
- Survey Research: Statistical Analysis and Estimation
- Advanced Course on using Mplus
- Introduction to Structural Equation Modeling using Mplus
- A Gentle Introduction to Bayesian Statistics
- Data Science: Applied Text Mining
- Research design for Experimental Linguists
- Data Science: Introduction to Text Mining with R
- Introduction to GIS for Human and Behavioral Scientists
- Sense making of GPS Data in a GIS environment
- Modeling the Dynamics of Intensive Longitudinal Data
- Mplus: How to get started?
- Data Science: Multiple Imputation in Practice
- Data Science: Statistical Programming with R
- Data Science: Data Analysis
Is a summer school missing or did I get something wrong? Write bellow!
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Kindly provide a schedule of 22 programs
As the Southern African Institute of Higher Education and Research we would like to partner and facilitate access to these programs to professionals and students in Southern Africa. How can we go about soliciting for an academic partnership or franchise?
Thank you for the interest. I can’t really help you directly (given I don’t run any of these programs) but I might reccomend you contact some of the organizers. GESIS have done something like this in the past so it might be worth contacting the director of the program (https://www.gesis.org/institut/mitarbeiterverzeichnis/person/sebastian.wenz).
You might also want to contact the Essex Summer School in case they can offer some discounts if that is of interest (essexsummerschoolssda@essex.ac.uk).
Hope that helps.