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HBO/WO

MBO

May 11, 2026

How Social Class Shapes Us | Radboud Reflects Lecture with Hanno Sauer

Social class is one of the core mechanisms behind perpetual inequality states philosopher Hanno Sauer. Why do we pay so little attention to class when we are looking to lessen inequality? How can your class in these days still be so important for who and what you can become in society? What would it take to break through the class structures that hold us in place? Learn from philosopher Hanno Sauer how social class shapes us and how it is an important underlying mechanism behind status, hierarchy and inequality. How Social Class Shapes Us | Lecture and conversation with philosopher Hanno Sauer Monday 11 May 2026 | 20.00 - 21.30 hours | LUX, Nijmegen Radboud Reflects, Faculty of Philosophy, Theology and Religious Studies and De Bezige Bij Publishers Have a look at the recap: www.ru.nl/en/services/sport-cu…losopher-hanno-sauer

Audio

Hanno Sauer

April 28, 2026

Lessuggestie bij het nawoord

Dit is een lessugestie bij het nawoord van het boek De kracht van verbinding Leerdoel: studenten kunnen dwarsverbanden identificeren in een maatschappelijke casus en kunnen beargumenteren welke bijdrage hun discipline kan leveren aan een beter inzicht in of oplossing voor deze problematiek.

Document

Edwin van Meerkerk

April 1, 2026

Presentatie – Informatie over implementatie ADL

Een PowerPoint met informatie over het Verandertraject Aanpak Digitale Leermaterialen. Het Waarom, Achtergrond en de Implementatie. Deze kan worden gebruikt om het verhaal te vertellen binnen de eigen onderwijscontext.

Presentation

HAN Verandertraject Aanpak Digitale Leermaterialen

March 3, 2026

Quick and dirty multilevel regression with SPSS syntax assignment

SPSS syntax assignment for teaching the basics of multilevel modeling. For when you need to teach or learn the basics but don't have a lot of time for it. Covers pooled OLS, fixed-effects and random effects (null model, intraclass-correlation, random intercept models with covariates at different levels, random slope models, and cross-level interactions). Uses European Social Survey data. Includes questions. Intended to be used in conjunction with a preceeding lecture.

Document

Alex Lehr

November 26, 2025

The Price of Inequality | Radboud Reflects Lecture with Édouard Louis, Maaike Koffeman, Francesco Cerchiaro and Eddie Denessen

What does it mean to grow up in an environment where violence and alcohol abuse are the norm? What is it like for a child when everyone around you is unemployed, racist and homophobic? Especially when you yourself are intelligent, sensitive and queer? This is the story of writer and sociologist Édouard Louis, who managed to break free from his background and continues to fight against it on every page of his books. Listen to Édouard Louis conversating with literary scholar Maaike Koffeman, sociologist Francesco Cerchiaro and educationalist Eddie Denessen and ask your own questions! The Price of Inequality | Author and sociologist Édouard Louis in conversation with literary scholar Maaike Koffeman, sociologist Francesco Cerchiaro and educationalist Eddie Denessen Read the review: www.ru.nl/en/services/sport-cu…alist-eddie-denessen

Audio

Édouard Louis, Maaike Koffeman, Francesco Cerchiaro, Eddie Denessen

September 20, 2025

Literatuurverkenning kansengelijkheid in het Nederlandse onderwijs

Literatuurverkenning kansengelijkheid in het Nederlandse onderwijs

Document

Edwin Buijs

September 14, 2025

GenAI Literacy presentations

These PowerPoints are designed to provide teachers the means to improve their students' AI literacy. The presentation is divided into seven themes: 1: What is Generative AI? 2: How does Generative AI work? 3: Prompting 4: GenAI and hallucinations (in development) 5: GenAI and bias 6: GenAI and sustainability 7: Gen AI and privacy/ bias Each topic includes a section focusing on traditional knowledgetransfer and a simple, active learning method. This material is licensed under CC BY-NC-SA 4.0. Created by the Teaching and Learning Centre (TLC) of UvA Centraal in collaboration with the TLC of the Faculty of Medicine.

Presentation

Jesper Pool, Remco Jongkind, Sophie van Dijke, Job Radelaar, Frans Aris, Bjarne de Beer, Palina Vasilyeva, Ivar Kolvoort

September 1, 2025

Economics in the Digital Age: Insights and Applications

This book serves as an essential resource for both undergraduate and graduate programs due to its comprehensive approach to digital economics: Theoretical Integration: It integrates classical economic theories with the digital economy, demonstrating how traditional principles apply to new digital realities. Practical Frameworks: It provides actionable insights for analyzing digital market trends and monetization strategies, relevant for students, managers, and business professionals alike. Case Studies and Real-World Applications offer concrete examples of digital transformations, making complex concepts more accessible and useful for research and coursework. Advanced Analytical Tools: The book helps students develop the analytical skills needed to evaluate digital business strategies, market dynamics, and the broader economic impact of digital technologies. For professionals, this book provides strategic guidance on navigating the challenges and opportunities of the digital economy. By understanding the core economic principles behind digital business models, managers can make informed decisions on everything from digital marketing to product development, all while anticipating and mitigating risks like cybersecurity threats or regulatory changes.

Open (Access) Text Book

Shilpa Samplonius-Raut

July 1, 2025

AI as a science - course manual

AI as a Science aims to highlight how research involving “artificial intelligence” can be considered scientific, and what that means for us as scholars engaged in this — and related — areas of study. During the course, we will explore answers to questions such as: What is AI? What role do scientists play in the development of AI? And vice versa: what role do AI researchers play in the scientific investigations of computation, artificial intelligence, and intelligence more broadly? Do such roles come with responsibilities and ethical duties? We will explore these questions dialogically (i.e., through dialogue, discussions, and presentations), as well as through lectures. Perspectives will include critical, historical, sociological, and philosophical angles. We will touch on: The history of AI, going as far back as ancient Chinese and Greek civilizations; future projections, including the possibility of another "AI winter." Ultimately, you will aim to answer for yourselves: Is AI a science? Can it be? Will it be? The course will be examined through: Group presentation – You will be split into teams to create a presentation (see Presentation). The presentation combines: Group collaboration, An individual (or more than one person’s) presentation (10 minutes max). Final essay – You may choose a topic related to the course and aligned with your background or interests (see Essay). The essay will take the form of a literature review or journal-style article, aiming to: Deepen and/or broaden your knowledge on one or more topics from the course, Allow you to zoom in or out and develop your own unique perspective. Learning Goals: AI as a Science aims to teach you — and for you to teach yourselves — how to: Define science and AI, critically and in your own words. Understand the historical context of AI: When did AI or AI-like disciplines and ideas emerge? Understand the current state of AI and explore possible futures: Is time a flat circle when it comes to recurring “AI winters”?

Document

Olivia Guest

June 6, 2025

Multilevel modeling for social scientists

The course builds on the knowledge and skills acquired in the previous methods courses. The course will introduce students to multivariate analyses of nested data using multilevel modeling techniques. The course focuses on the theory and application of fixed and, in particular, random effects models. Using data from the European Social Survey, the students will learn how to estimate and interpret such as models using Stata.

Document

Alex Lehr