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 and upgrade your research methods skills. To help you with the decision I list below the main methods summers schools available in 2023. Here I focus on those summer schools that cover the analysis and collection of data in the social sciences. Happy learning!
List of Summer Schools
- Essex Summer School
- GESIS summer school in survey methodology
- GSERM
- ICPSR Summer Program in Quantitative Methods
- LSE Summer School
- Methods@Manchester
- Michigan Summer Institute
- RECSM Summer Methods School
- Swiss summer school
- Utrecht Summer School
Details of methods summer schools
Essex Summer School
(online/hybrid)
Dates: 10 July – 18 August
Location: Online
Costs: £550-£1500
Courses:
- Introduction to R Programming in the Social Sciences
- Introduction to R
- Mathematics 1
- Introduction to Quantitative Text Analysis
- Introduction to Regression
- Introduction to Social Network Analysis
- Statistical Modelling for Multilevel and Complex Models
- Introduction to Statistics for Survey Data Analysis
- Longitudinal and Panel Data Analysis
- Qualitative Data Analysis: Methodologies for Analysing Text and Talk
- Beyond OLS: Categorical, Choice and Count Models
- Introduction to Applied Bayesian Statistics
- Introduction to Quantitative Methods in R
- Methods for Fieldwork in Social Science
- Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics
- Introduction to Game Theory
- Designing Feasible Research Projects in the Social Sciences
- Qualitative Interviewing
- Introduction to GIS, Geospatial Data and Spatial Analysis
- Mathematics part 2
- Quantitative Data Analysis and Statistical Graphics with R
- Advanced Survey Data Analysis and Survey Experiments
- Case Study Methods
- Multilevel Models: Practical Applications
- Quantitative Text Analysis
- Longitudinal Data Analysis
- Mixed Methods Research
- Applying Discourse Theory – Politics, Ideology, Populism
- Machine Learning for Social Scientists
- Causal Inference and Experiments in the Social Sciences
- Spatial Econometrics
- Introduction to Probability Theory for MLE, Bayesian Inference and Machine Learning Using R
- Confirmatory Factor Analysis & Structural Equation Modelling
- Ethnography and Ethnographic Methods
- Introduction to Statistics for Social Science Research with SPSS
- Introduction to Web Scraping and Data Management for Social Scientists
- Statistical Analysis for Cross-Sectional and Longitudinal Network Analysis
- Introduction to Statistics and Analytics with a Management Focus using R/Radiant
- Quantitative Methods for Surveying Hard to Reach Populations
- Survival Models for Social and Event History Modelling
- Mathematics part 3
- Advanced methods for Social Media and Textural Data
- Computational methods for Social Data Science: Exploring Society through Visualization and Modelling
- Bayesian Analysis for the Social and Behavioural Sciences
- Quantitative Methods for Causal Inference and Policy Evaluation
- Introduction to Programming in Python for Social Scientists
- Heterogeneity and Dynamics: Time Series and Panel Data
- Scaling Methods and Ideal Point Estimation for Surveys and Behaviour
- Advanced Methods for Text as Data: Natural Language Processing
- Introduction to Agent-Based Modelling
- Advanced Machine Learning: Deep Learning Models
GESIS summer school in survey methodology
(face to face/online)
Dates: 02 – 25 August
Location: Cologne, Germany or Online
Costs: €200-€1500
Courses:
- Pretesting Survey Questions
- Mixed Mode Surveys
- Introduction to Stata for Data Management and Analysis
- Causal Inference with Directed Acyclic Graphs (DAGs)
- Designing, Implementing, and Analyzing Longitudinal Surveys
- Applied Systematic Review and Meta-Analysis
- Causal Inference Using Survey Data
- (Non-)Probability Samples in the Social Sciences
- Advanced Survey Design
- Advanced Questionnaire Design
- Introduction to R for Data Analysis
- Missing Data and Multiple Imputation
- Collecting and Analyzing Social Network Data
- Data Science Techniques for Survey Researchers
GSERM
(Switzerland)
Date: 05 June – 23 June
Location: St. Gallen, Switzerland
Costs: CHF 800 – CHF 2000
Courses:
- Machine Learning with R – Introduction
- Regression I – Introduction
- Deep Learning: Fundamentals and Applications
- Bayesian Data Analysis
- Experimental Methods for Behavioral Science
- Qualitative Comparative Analysis
- Case Study Methods
- Data Scraping and Management for Social Scientists with R – HYBRID
- Communicating and Visualizing Data with R
- Network Analysis – Statistical Analysis of Social Network Data
- Regression Analysis II – Linear Models
- Mediation, Moderation, and Conditional Process Analysis I – HYBRID
- Smart Data-Driven Econometrics
- Machine Learning with R – Advanced
- Analyzing Unstructured Data
- Causal Inference
- Analyzing Panel Data
- Text Mining
- Qualitative Bayesian Reasoning for Case Studies
- Introduction to Structural Equation Models
- Qualitative Research Methods & Data Analysis
- Mediation, Moderation, and Conditional Process Analysis II
- Regression Analysis for Spatial Data
- Multilevel and Longitudinal Modeling with R
- Online Behavioral Research
- Regression for Publishing
ICPSR Summer Program in Quantitative Methods
(In person)
Dates: 19 June – 4 August
Location: Manchester, UK
Costs: $1,600 – $3,300
Courses:
- Advanced Empirical Modeling of Social Science Theory
- Bayesian Modeling for the Social Sciences I: Introduction and Application
- Data Visualization
- Machine Learning: Applications in Social Science Research
- Maximum Likelihood Estimation I: Generalized Linear Models
- Measurement, Scaling, and Dimensional Analysis
- Multilevel Models I: Introduction and Application
- Multivariate Statistical Methods: Advanced Topics
- Network Analysis I: Introduction
- Race, Ethnicity, and Quantitative Methodology I
- Rational Choice Theories of Politics and Society
- Regression Analysis I: Introduction and Application
- Regression Analysis II: Linear Models
- Regression Analysis III: Advanced Methods
- Statistics and Data Analysis I: Introduction
- Time Series Analysis I: Introduction
- Bayesian Modeling for the Social Sciences II: Advanced Topics
- Categorical Data Analysis
- Causal Inference for the Social Sciences
- Data Science and Text Analysis
- Game Theory
- Maximum Likelihood Estimation II: Advanced Topics
- Multilevel Models II: Advanced Topics
- Network Analysis II: Advanced Topics
- Panel Data and Longitudinal Analysis
- Race, Ethnicity, and Quantitative Methodology II
- Social Choice Theory
- Simultaneous Equation Models
- Statistics and Data Analysis II: The Basics of Regression
- Structural Equation Models with Latent Variables
- Time Series Analysis II: Advanced Topics
LSE Summer School
(In person)
Dates: 19 June – 28 July
Location: Online
Costs: £2750 – £3700
Courses:
- The Ethics of Data and Artificial Intelligence
- Machine Learning in Practice
- Probability and Statistics for Economics and Econometrics
- Real Analysis
- Introduction to Data Science and Machine Learning
- Data Engineering for the Social World
- Social Network Analysis
- Computational Methods in Financial Mathematics
- Introduction to Statistics: Understanding the World through Data
Methods@Manchester Summer School
(In person)
Dates: 27 June – 7 July
Location: Manchester, UK
Costs: £270- £450
Courses:
- Creative Approaches to Qualitative Research
- Digital Trust and Security in the Post-COVID World
- Harnessing NVivo for qualitative and mixed-methods analysis
- Introduction to Longitudinal Data Analysis
- Positionality and Doing Reflexivity in Qualitative Research
- A Comprehensive System of Data Analysis Using R and the Rcommander
- Creative Academic Writing
Michigan Summer Institute
(Online/in person)
Dates: 5 June – 28 July
Location: Online/Ann Arbor, US
Costs: $1,200 – $6,000
Courses:
- Workshop for Survey Sampling Techniques
- Methods of Survey Sampling
- Analysis of Complex Sample Survey Data
- Introduction to the Health and Retirement Study (HRS) Workshop
- Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences
- Introduction to Focus Group Interviewing Research Methods
- Introduction to Survey Methodology
- RSD Webinar: Basic Concepts in Responsive Survey Design
- Writing Questions for Surveys
- Qualitative Methods: Overview and Semi-Structured Interviewing
- RSD Webinar: Interventions in a Responsive Survey Design Framework
- Survey Methodology for Undergraduates
- Introduction to Text Analysis
- Introduction to Questionnaire Design
- Machine Learning for Social Science
- Intermediate Questionnaire Design
RECSEM Summer Methods School
(face to face/online)
Dates: 26 June – 14 July
Location: Barcelona, Spain or online
Courses:
- Introduction to STATA
- Introduction to R
- Introduction to Python
- Quantitative methods in social research
- Introduction to regression
- Causal inference
- Multilevel 1: Introduction to multilevel models
- Structural equation modeling
- Longitudinal panel models with structural equations
- Computational analysis of social media
- Machine learning for social sciences
- Questionnaire design
- Survey experiments
- Multilevel 2: Analyzing comparative longitudinal survey data using multilevel models
Swiss summer school in social science methods
(face to face/online)
Dates: 10 – 25 August
Location: Lugano, Switzerland or online
Costs: 700-1100 Swiss Francs
Courses:
- Introduction to R and Rstudio
- Introduction to Stata
- Statistics with SPSS for Social Scientists
- Visual Thinking for PhD Researchers
- Multivariate Methods for Social Researchers
- Design Thinking for Research
- Qualitative Analyses of Interview Data
- Introduction to Structural Equation Modeling (SEM)
- Causal Analysis with Cross-sectional Data
- Machine Learning – What Is It Good For?
- Using Social Network Analysis to Understand Data
- Mixed Methods
- Designing and Conducting Social-scientific Experiments
- Conducting a Grounded Theory Study
- Qualitative Research Designs
- How to Forge Arguments in Writing (Social Sciences) Scientific Papers
- Creating Groups from Data. Cluster Analysis and Latent Class Analysis
- Ethnographic methods
- Qualitative Comparative Analysis (QCA)
- Content Analysis and Natural Language Processing
- Discourse Theory and Analysis
- Applied Panel Data Analysis
- Web Scraping and Data Mining in R
Utrecht Summer School
(face to face/online)
Dates: 03 July – 25 August
Location: Utrecht, Netherlands or online
Costs: €150 – €895
Courses:
- Data Science: Statistical Programming with R
- Structural Equation Modeling in R using lavaan (E-Learning Course)
- Data Science: Programming with Python
- Introduction to Structural Equation Modeling using Mplus
- Introduction to Multilevel Analysis
- An introduction to Qualitative Research Methods
- Advanced longitudinal modeling in Mplus
- Data Science: Introduction to Text Mining with R
- Data Science: Data Analysis
- Data Science: Network Science
- Data Science: Applied Text Mining
- A gentle introduction to Bayesian Estimation
- Survey Research: Design, Implementation and Data Processing
- Developmental Psychopathology and Psychological Assessment in Childhood and Adolescence
- Applied Multivariate Analysis
- Open Science Hypothesis Testing
- Modeling the Dynamics of Intensive Longitudinal Data
- Survey Research: Statistical Analysis and Estimation
- Advanced Survey Design
- AI-Aided Systematic Reviewing
- Eye Tracking Research Toolbox
- Introduction to R
- Structural Equation Modelling in Mplus
- Bayesian Hypothesis Evaluation using JASP or R
- Regression in R
- Missing Data in R
- Introduction to Python (online course)
- Introduction to Graphical Models (for Network Inference) in R: Markov random Fields and Bayesian Networks
- Text Analysis with Python
Is a summer school missing or did I get something wrong? Write below!
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