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 2022. 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
(face to face)
Dates: 04 July – 29 July
Location: Barcelona, Spain/Online
Costs: €300 – €1000
Courses:
Essex Summer School
(online/hybrid)
Dates: 04 July – 12 August
Location: Online
Costs: £550-£1500
Courses:
- Introduction to R (Online)
- Mathematics for Social Scientists, Part 1 (Online)
- Introduction to Quantitative Text Analysis (Online)
- Introduction to Regression (In person)
- Introduction to Social Network Analysis (Hybrid)
- Statistical Modelling for Multilevel and Complex Data (In person)
- Introduction to Statistics for Survey Data Analysis (Hybrid)
- Longitudinal Data Analysis (Online)
- Qualitative Data Analysis: From Content to Discourse (In person)
- Qualitative Interviewing (In person)
- Beyond OLS: Categorical, Choice, and Count Models (Online)
- Introduction to Applied Bayesian Statistics (Hybrid)
- Web Scraping and Data Management in R (Online)
- Introduction to Quantitative Methods in R (Online)
- Methods for Fieldwork in Social Science (Hybrid)
- Doing Discourse Analysis (Online)
- Introduction to GIS, Geospatial Data and Spatial Analysis (Online)
- Quantitative methods for surveying hard-to-reach populations (Hybrid)
- Mathematics for Social Scientists, Part 2 (Online)
- Quantitative Data Analysis and Statistical Graphics with R (In person)
- Advanced Survey Data Analysis and Survey Experiments (Online)
- Case Study Methods (In person)
- Multilevel Models: Practical Applications (Online)
- Quantitative Text Analysis (In person)
- Panel Data Analysis for Comparative Research (In person)
- Mixed Methods Research (In person)
- Applying Discourse Theory – Politics, Ideology, Populism (Hybrid)
- Machine Learning for Social Scientists (In person)
- Causal Inference and Experiments in the Social Sciences (Hybrid)
- Spatial Econometrics (Hybrid)
- Introduction to Probability Theory for MLE, Bayesian Inference and Machine Learning Using R (Hybrid)
- Confirmatory Factor Analysis & Structural Equation Modelling (In person)
- Introduction to Statistics for Social Science Research with SPSS (Online)
- Ethnography and Ethnographic Methods (35 hours) (In person)
- Advanced Social Network Analysis (Hybrid)
- Survival Analysis and Event History Modelling (Online only)
- Mathematics part 3 (15 hours) (Online)
- Advanced methods for Social Media and Textural Data (In person)
- Computational methods for Social Data Science (Hybrid)
- Special Topics in Network Analysis (Hybrid)
- Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
- Quantitative Methods for Causal Inference and Policy Evaluation (Online)
- Advanced Quantitative Methods (In person)
- Time Series and Panel Models for Dynamic and Heterogeneous Processes (Hybrid)
- Scaling Methods and Ideal Point Estimation for Surveys and Behaviour (Hybrid)
- Advanced Methods for Text as Data: National Language Processing (Online)
- Advanced Machine Learning For Social Scientists (Online)
- Introduction to Programming in Python for Social Scientists (Hybrid)
- Agent-Based Models (Hybrid)
GESIS summer school in survey methodology
(face to face/online)
Dates: 03 – 26 August
Location: Cologne, Germany or Online
Costs: €200-€1500
Courses:
- Using Directed Acyclic Graphs for Causal & Statistical Inference
- Introduction to Stata for Data Management and Analysis
- Introduction to Survey Design
- Designing, Implementing, and Analyzing Longitudinal Surveys
- Data Science Techniques for Survey Researchers
- (Non-)Probability Samples in the Social Sciences
- Questionnaire Design
- Introduction to R for Data Analysis
- Factorial Survey Design
- Design and Implementation of Web Surveys
- Applied Multiple Imputation
- Collecting and Analyzing Longitudinal Social Network Data
- Sampling and Weighting in Survey Statistics
- Mixed-Mode Surveys
GSERM
(online)
Date: 2 June – 24 June
Location: Online
Costs: CHF 800 – CHF 1100
Courses:
- Case Study Methods
- 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
- Bayesian Data Analysis
- Analyzing Survey Research Data
- 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
- 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
- Qualitative Research Methods & Data Analysis
- Network Analysis – Statistical Analysis of Social Network Data
- Mediation, Moderation, and Conditional Process Analysis II
- Mixed Methods Research
- Big Data in R
- Necessary Conditions Analysis
LSE Summer School
(In person)
Dates: 20 June – 19 August
Location: Online
Costs: £2600 – £3500
Courses:
- Introduction to Statistics: Understanding the World through Data
- Computational Methods in Financial Mathematics
- Machine Learning in Practice
- Probability and Statistics for Economics and Econometrics
- Real Analysis
- Introduction to Data Science and Machine Learning
- Qualitative Research Methods
Methods@Manchester Summer School
(Online)
Dates: 20 June – 8 July
Location: Online
Costs: £90 – £450
Courses:
- Qualitative Research for Quantitative Researchers
- Make Your Own Research Boardgame
- Exploring Collage as a Research Method
- Digital Trust and Security in the Post-COVID World
- Getting Started in R: an introduction to data analysis and visualisation for social scientists
- Questionnaire Clinic
- Researcher Safety and Wellbeing
- Creative Approaches to Qualitative Research
- Introduction to Social Network Analysis
- Positionality and Reflexivity in Practice
- Creative Academic Writing
- Introduction to Longitudinal Data Analysis
- A Comprehensive System of Data Analysis Using R and the Rcommander
RECSEM Summer Methods School
(face to face/online)
Dates: 27 June – 15 July
Location: Barcelona, Spain or online
Costs: 125€ – 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
- Longitudinal Panel Models with Structural Equations
- Questionnaire design
- Big data 1
- Machine Learning for Social Sciences
- Experiments in Social Science: Survey experiments
- Probability sampling methods
- Multilevel 2 (Analyzing Comparative Longitudinal Survey Data Using Multilevel Models)
- Social Networks
Swiss summer school in social science methods
(face to face/online)
Dates: 11 – 26 August
Location: Lugano, Switzerland or online
Costs: 600-1100 Swiss Francs
Courses:
- Statistics with SPSS for Social Scientists
- Introduction to R and Rstudio
- Introduction to Stata
- Visual thinking for PhD researchers
- Quantitative methods for Social Researchers
- Design thinking for research
- Qualitative analyses of interview data
- Introduction to Structural Equation Modeling
- Causal Analysis with Cross-sectional data
- Machine Learning – What Is It Good For?
- Using Social Network Analysis to Understand Data
- Introduction to Qualitative Research Designs
- How to forge arguments in writing (social sciences) scientific papers
- Creating groups from data. Cluster Analysis and Latent Class Analysis
- Multilevel Structural Equation Modeling
- Ethnographic methods
- Qualitative Comparative Analysis: Research Design and Application
- Content Analysis and Natural Language Processing
- Discourse Theory and Analysis
- Applied Panel Data Analysis
- The Art and Science of Qualitative Analysis
- Multilevel Modelling
- Visual Data and Visual Methods in Social Sciences
Utrecht Summer School
(face to face/online)
Dates: 08 April – 23 August
Location: Utrecht, Netherlands or online
Costs: €130 – €975
Courses:
- Data Science in Clinical Practice
- Data Stewardship
- Introduction to Structural Equation Modeling using Mplus
- Statistical Programming with R
- Introduction to GIS for Human and Behavioral Scientists
- Introduction to Structural Equation Modeling using lavaan
- Introduction to Multilevel Analysis
- Advanced Multilevel Analysis
- Introduction to Text Mining with R
- Advanced Course on using Mplus
- Multiple Imputation in Practice
- Sense making of GPS Data in a GIS environment
- Network Science
- Data Analysis
- Programming with Python
- Applied Text Mining
- Survey Research: Design, Implementation and Data Processing
- Modeling the Dynamics of Intensive Longitudinal Data
- Applied Multivariate Analysis
- A Gentle Introduction to Bayesian Statistics
- Survey Research: Statistical Analysis and Estimation
- AI-Aided Systematic Reviewing
- Advanced Survey Design
- Introduction to R
- Structural Equation Modelling in Mplus
- Introduction to JASP and (Bayesian) Hypotheses Evaluation
- Regression in R
- Introduction to Python
- Missing Data in R
- Text Analysis with Python
Is a summer school missing or did I get something wrong? Write bellow!
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