Policy, Governance and Politics
Policy, Governance and Politics

Policy, Governance and Politics

Take a look at our courses within the discipline of Policy, Governance and Politics.

Courses

  • The use of health technology assessment (HTA) to support universal health coverage (RSS3.10)

    This course provides practical and stepwise guidance on the use of evidence-informed deliberative processes in HTA to design a country’s health benefit package.

  • Introduction to Data Science with R and Rstudio (RSS3.01)

    The aim of the course 'Data Science with R and Rstudio' is to learn and experience working with the software through explanations and exercises which will extend in several relevant areas of working with R and Rstudio for statistics.

  • International Grail: Communities with a Heart (RSS3-04.02)

    This course enables you to increase your impact on a personal and community level by deepening drives and training dialogues and silences, among other things.

  • Discourse Network Analysis (RSS1.04)

    This one-week summer course will introduce discourse network analysis, a methodology that combines qualitative content analysis with social network analysis to measure policy debates and their development over time.

  • Migrant Inclusion: Policies, Practices in the Age of Digitalization (RSS1.19)

    With increasing migration to Western Europe, inclusion and integration have become important topics. This course will provide you with insights into relevant issues on the topic of migrant inclusion in a digitalized society

  • Advancing Compassion: Exploring Animal Rights in Multispecies Societies (RSS3.03)

    During this course you will cover the history, philosophical background, and legal aspects of animal rights. This course will stimulate you to think creatively and co-create a society in which animal rights have a prominent place

  • Defending the rule of law in Europe (RSS3.02)

    The rule of law has been under pressure in Europe. Countries have taken measures that undermine the independence of the judiciary and the protection of human rights. This course focuses on how the rule of law can be bolstered.

  • Use of AI for political analysis (RSS1.05)

    Designed for social scientists without advanced programming abilities, this course explores how to integrate large language models (LLMs) into social science research.

  • Panel Data Analysis (RSS1.13)

    This course provides a general survey of the methods used to analyze panel data (i.e., data with units observed repeatedly over time). It places a special emphasis on causal inference, which is a primary goal of social sciences.

  • Critical discourse Analysis: Texts, contexts and power (RSS1.16)

    This course offers a comprehensive, practical introduction to qualitative CDS.

  • Mixed Methods Research with MAXQDA: Practices and Techniques (RSS2.03)

    This is a practical course designed to assist junior researchers in developing and executing a mixed method research (MMR) project.

  • Causal Inference with Natural Experiments: DiD, RDD, IV, and Matched Designs (RSS2.05)

    This course introduces quantitative causal inference using observational data in the social and economic sciences.

  • Big Data: Introduction to Text Analysis (RSS2.07)

    The course will introduce statistical models for network data and other data with complex dependence among observations. A range of models will be discussed theoretically, in application and using R.

  • Introduction into R (RSS2.09)

    Join for a week-long journey into R programming for data analysis. From mastering R basics and data import to advanced skills in cleaning, visualization, and analysis, this course integrates theory with hands-on exercises.

  • Doing intersectional quantitative research (RSS2.10)

    Intersectionality studies draw attention to the interrelatedness of inequalities or power hierarchies along social dimensions, such as gender, race, class, sexuality, religion, able-bodiedness, and it is often associated with qualitative research.

  • Process Tracing methods in practice (RSS2.12)

    This hands-on course aims to strengthen your ability to use process tracing methods in their own research. The course is designed for those who are actively engaging in process tracing research.

  • Analytical Pragmatism: An Introduction to Relational Social Science (RSS00.04)

    In this course you will be exploring one alternative way of doing social science with roots in the analytical approach of Max Weber and the reflections of key pragmatist thinkers.

  • Online Qualitative Methods and Virtual Ethnography (RSS00.05)

    This course focuses on the use of digital technologies for qualitative data collection, from a conceptual to applied perspective, including logistical, technical and ethical issues.

  • Crash Course in R – A Gentle Introduction (RSS00.06)

    The course covers the basics of programming in R. Besides that, it also covers working in RMarkdown, which allows you to generate an entire research paper with RStudio.

  • Comparative Historical Analysis (RSS00.09)

    It introduces the key CHA tools, contrasts with conventional variance-based approach, and helps you to apply them to your problem-driven and hence most likely, historical projects

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