Overview Courses 2023
Overview Courses 2023
Pharmacokinetic (PK) and pharmacodynamic (PD) studies are imperative to the development of new medicines and essential in ensuring early access to medications for special populations, such as pregnant women and children.
The goal of this course is to provide an accessible entry into the world of R which prepares the participants to confidently approach the most common analysis tasks using R. This course is particularly recommended for those who want to take a methods course follow-up that relies on R.
Python is the most popular programming language of data science, used in natural language processing, machine learning, and artificial intelligence. This five-day Python programming course is designed for social scientists - with zero experience in programming - who would like to conduct data collection, analysis, and modelling with Python.
Concepts are fundamental building blocks of social science research. However, they are also contested, difficult to construct, and subject to change. This course provides participants with an introduction to the role of concepts in theories, methods, and research design.
This course teaches early career researchers how to combine two or more different methodological approaches in their empirical projects. We will cover traditional and novel approaches to multi-method research (MMR)—which integrate multiple methods and data in a single article or dissertation/book.
This course introduces approaches from narrative methods to discourse analysis and the typical steps of the research process -from how to formulate interpretive research questions to how to present and document them. It provides students with an introduction to different interpretive methods.
The course covers foundational topics of qualitative data analysis and trains participants, hands-on, to perform two popular data analytic techniques: thematic analysis and qualitative content analysis.
This course is for anyone interested in analysing how language is used (and abused) in different socio-political contexts. You will learn how to analyse texts, how to interpret your findings and how to build a CDS-oriented research project.
Examining and understanding human behavior, including how social, organizational, administrative and political processes play out in different arenas, is a key concern for many social scientists. Ethnographic approaches are well suited to shed light on a broad variety of political and organizational phenomena; yet, they are still rarely used in political science research.
This course enables you to develop a robust comparative research design from A to Z: thinking comparatively, ‘casing’, case selection strategies, data collection/management and data analysis
RSS01.C2-C3 Qualitative Comparative Analysis (QCA): Performing Basics and Advanced Analyses using R (Two week course)
Qualitative Comparative Analysis models causal complexity by analyzing necessary or sufficient conditions for an outcome. This course introduces both the nuts and bolts of QCA, and the most advanced analytic tools available in the R software environment needed for a publishable QCA.
Process tracing is a case-based method for learning about how things work within cases. This two-week course provides a practical, hands-on introduction to process tracing. In the course, we will work with published examples and your own project.
This course offers guidance to scholars exploring macro-historical questions and looking to Comparative Historical Analysis to better understand the methodological implications of incorporating historical into social inquiry.
The purpose of this course is to help you “unlearn” some of the default lessons about the conduct of social-scientific inquiry. This field is namely dominated by neopostivism and substantialism, but there are other approaches of inquiry which you'll learn here.
This course aims to sharpen R skills and provide materials for R users who are keen to learn R beyond the basics. We will cover how to write and work efficiently, build better functions, create R packages and use version control (git).
Experiments became a standard part of the methodological toolkit of social scientists, they are well-suited to facilitate true casual inferences. The course covers implementing, analyzing, and critically evaluating such designs.
Regression is the most commonly used statistical technique in the social sciences and the foundation of more advanced approaches. In this course we study regression and its necessary foundations.
RSS01.D6 Regression 2: Logistic Regression and General Linear Models: Binary, Ordered, Multinomial and Count Outcomes
Social scientists are often confronted with outcome variables that are not linear, such as binary, or ordinal survey items, or event counts. The aim of this course is to make students comfortable with applying GLM regression techniques.
This course provides a general survey of the various panel data methods with an emphasis on causal inference. You get to practice these methods with popular statistical software Stata and R
In this course we cover a variety of models with observed and latent variables. We show the possibilities of SEM in an intuitive manner, without neglecting the complexities of SEM.
Social scientists have never been more relevant than they are today - for the present and the future. With the increasing availability of data, the fast paced professionalization of research methods, and the societal problems around us, social scientists are uniquely positioned and trained to contribute to positive social impact.
Discourse Network Analysis is a methodological toolbox for measuring and analyzing policy debates and their development over time. At its core, the software Discourse Network Analyzer (DNA) allows researchers to manually code actors’ opinions about policies in text data.
In this course, we will move beyond well accepted qualitative case study design templates (namely positivistic, interpretivist and critical realist templates) to develop and use a ‘bricolage’ approach for your case study research.
Decision-making is often complex: interests of those involved can conflict and several options often compete for support and funding. In addition, decision-making needs to be sensitive for underlying motives, belief systems, and personal and political agendas.
What happens after fieldwork? How do we get from data generated using ethnographic methods to written accounts that are not only academically robust, but also meaningful? In this course, we will explore the deskwork and textwork phases of using ethnographic/interpretivist methods, considering the issues and challenges involved in taking research projects from the field to the page.
This course guides researchers in situating and implementing their own qualitative data work within comparable case and process tracing strategies as two powerful research designs increasingly used across social sciences.
The Qualitative Interviewing – experts course equips you with critical knowledge and advanced practical skills.A unique feature of the course is its emphasis on application of knowledge to different interview situations and practical training in designing and conducting expert interviews.
How should we design non-controlled comparative research? The goal of this module is to introduce students to logics of comparative inquiry available to scholars beyond the already well-defined logics of controlled comparison
In an ever more complex world, evaluation plays a crucial role in making better informed decisions (e.g. public policy decisions, decisions when running a programme or project for an NGO or a firm, etc.). However, in order to be useful, evaluations need to be tailor-made to suit the needs of evaluation commissioners.
In this workshop we move beyond SEM basics and truly dive into the flexibility of these models including advanced topics, longitudinal, and multilevel data structures
This course covers research that draws causal conclusions about phenomena that were not randomised. Methods include matching, IV, discontinuity designs, and difference-in-differences.
This course will teach you the fundamentals of Necessary Condition Analysis (NCA) and help you design your first NCA research project.
The goal of this course is to provide an accessible entry into the world of R, preparing participants to approach the most common analysis tasks using R, including data cleaning, exploratory data analysis and creating engaging visualizations.
Surveys are among the most popular methods of data collection as they are supposedly straightforward to run. However, in practice, designing survey collecting good quality data is a lot more complex...
Intersectionality studies draw attention to the interrelatedness of inequalities or power hierarchies along social dimensions, and it is often associated with qualitative research. However, intersectionality has much to offer to quantitative research.
The course covers multilevel regression analysis with R for two types of data; individuals nested within social contexts (e.g. cross-national surveys), and repeated observations from individuals (e.g. longitudinal panel studies).
The increasing availability of large amounts of online data enables new types of research in the social sciences. This course equips participants with the R programming skills necessary to gather online data and process them into formats they can use in their research.
Inferential Network Analysis introduces statistical methods for analysing networks. Networks, or graphs, are sets of nodes and their connecting ties. Networks are used to model a wide range of complex political phenomena.
Facing the massive volumes of text data that are available in digital format and
valuing their potential, over recent years social scientists have increasingly turned
to methods that rely on the support of computer power, so- called automated text analysis methods.
Participants will learn the fundamentals of machine learning as a data analysis approach for social sciences, and will have an overview of the most common and versatile classes of ML techniques in use today.
The course covers advanced methods for quantitative text analysis. Lectures and coding sessions would provide students with an overview of tools and techniques to apply these methods.
RSS03.01 Induced Pluripotent Stem Cells: maintenance, differentiation and uses for regenerative medicine
This course is designed for both junior and senior scientists who would like to acquire some knowledge on maintenance, expansion and characterization of induced pluripotent stem cells and their many potential uses in regenerative medicine and clinical therapy.
Transformations are needed to achieve sustainable development. In this course, you will discuss the dynamics that drive and hamper sustainable transformations, and explore approaches and methods to advance transformations in practice.
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.
In this “hands-on” interactive course participants are introduced to data analytics using the statistical program R. The aim is to provide an accessible high-quality course for everyone (no prior knowledge of R required).
This course uniquely combines three different angles – theology, public administration and communication - in order to strengthen the impact of yourself and your organization, by deepening drives, constructing valuable policy tools and training dialogues that connect and inspire.
The course will cover all major aspects of modern drug discovery and describes challenges and opportunities in pharmaceutical R&D with a unique combination of lectures by academic and industry experts.
In a collaboration with a collection at another university (TBD), students will study the society of Graeco-Roman Egypt and apply their knowledge in preparing an edition of unpublished papyri.
This course is a full immersion interdisciplinary design-thinking-based experience that will address both the context of sex- and gender-sensitive health as well as your role as a provider/professional in the field.
Whether you are a social scientist, a business analysist or a data journalist, analysing data is key to greater understanding of the world around us. Whether it’s understanding political discussions online, the diffusion of news events, or the predictive power of certain indicators, systematic analysis improves business conduct, news analysis and reporting and understanding of human behaviour in general.
This course is organized by the Dosimetry Core Unit, which holds expertise in radionuclide dosimetry covering the whole translational path from fundamental research to clinical implementation.
This course will focus on developing facilitator skills to guide a stakeholder group toward a shared model of a complex problem related to the Sustainable Development Goals with Group Model Building. This course will focus on hands-on development of facilitator skills, based on a theoretical basis.
Stress has a major impact on cognitive functions such as perception, learning and memory, and decision-making. This summer school gathers together junior scientists as well as high-profile speakers to promote integration of knowledge, theory, and methodology across different fields.
NL only: Dit programma richt zich op professionals in de (brede) zorg-sector die hun organisatie helpen om stappen te zetten met het toepassen van data en digitale innovaties in zorg en bedrijfsvoering.
The separation of Church and State is one of the key stones of modern democracy. Does that imply that God has no place, let alone a vote, in the ins and outs of democratic politics? Or does he has a vote, a place in it? This course reflects on the (im)possibility of God/religion within modern politics.
This course is intended for speakers of non-European languages who write research papers and struggle with English grammar (e.g., the use of articles (the, a), verb tenses and sentence structure).
Do you find it difficult to teach to an international student audience? Are you able to get your message across? Can you facilitate and manage student discussions? Lecturing in the International Classroom is a crash course aimed at improving the language and communication skills you need in order to be an effective teacher in English.
Language is not neutral – it has the power to offend or exclude people and even change how we perceive others. It’s up to us, language users, to achieve the opposite. By becoming aware of our pitfalls in language and how we can use it differently, we can achieve inclusive communication: language that does not offend or exclude people and reinforce stereotyping. In this workshop, we will discuss examples of pronoun use (he/she/they), gendered language (e.g. ‘to man up’ or ‘chairman’), othering (‘exotic foods’), and asymmetrical and stereotyping language (‘women are bossy, men are assertive’). You won't learn what you’re ‘not allowed to say’ anymore, but you will learn how you can change your words to achieve more inclusive communication. In addition, we will practice writing at a language level that does not exclude speakers with a lower language proficiency. By the end of the workshop, you will be aware of your own pitfalls and how you can avoid them, so your texts are more inclusive.
Please note that this workshop is delivered in English, but many principles of inclusive language can be applied to other languages.
This training will take your presentation skills to the next level. It will make preparing for and giving a presentation easier and more fun!
International experts will challenge you to look beyond the accepted views on giftedness. Models and theories of giftedness will be discussed, with special attention for identification, prevention and intervention, like self-regulated learning, social and emotional development, different forms of enrichment and special classes and programs for gifted students
This course is designed for researchers and research oriented health professionals who have a specific interest in health and welI-being for persons with intellectual disabilities and want to learn more about their health needs, about intersectoral collaboration, and inclusive research. Master students of health and social sciences that want to explore a possible career in this field may also opt for this course.
This unique course will teach you about various aspects of Cardiology & Cardiothoracic Surgery and provide you with clinically oriented lectures and hands- on practical sessions given by some of our finest professors and doctors.
This multidisciplinary course will provide you with insight into relevant issues on the topic of migrant inclusion across three domains: economic inclusion, social inclusion, and migrants’ access to public services, healthcare and housing. Through engagement with experts from a variety of disciplines, students will gain a multidisciplinary perspective on one of today’s most debated issues: migrant inclusion policies and practices.
Digitalization is an important phenomenon when it comes to studying migrant inclusion issues. Think of the communication possibilities that strengthen cross-boundary connections, but also various digital processes that reshape how people, and especially migrants, move in between and within societies (for instance bureaucratic processes, labour market etc.).
This course will discuss techniques that allow for the study of human behaviour from the perspective of the Complexity Sciences, specifically, Complex Adaptive Systems. Contrary to what the term “complex” might suggest, complexity research is often about finding simple models/explanations that are able to describe a wide range of qualitatively different behavioural phenomena.
Industry remains fundamental to ensure economic growth and employment in Europe. In this course, you will learn new technologies, economic and environmental modelling methods to steer towards tomorrow’s net-zero industry.
In this hands-on course you will learn the latest evidence on the role of commensal gut microbiota in the gut-brain axis, and how to study interactions between gut microbiome and brain functioning, behaviour and psychiatric diseases.
Due to the further digitization of society in general, digital data have become available in large quantities (Big Data). Because Big Data (many observations) is also often high-dimensionally (many features, variables), it allows us to use machine learning techniques to make predictions and classify data into groups and uncover hidden patterns in data.
Only one day: Brush up on your grammar. This workshop is an opportunity to review the trickier aspects of English including: tenses, word order, sentence structure, and other common errors. This participatory workshop will give your accuracy a boost.