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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

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

October 21, 2025

Adaptive Expertise Assessment

Adaptive expertise verwijst naar het vermogen van individuen om hun kennis op innovatieve wijze te hercombineren om onbekende problemen op te lossen. Deze vaardigheid is essentieel voor interdisciplinair werken, en het effectief aanpakken van grote maatschappelijke uitdagingen. Wat Op deze pagina zijn te vinden: • Adaptive Expertise scenario’s. Deze kunnen ingezet worden om de adaptive expertise van studenten te meten. • Een link naar een voorbeeldassessment waarin de Adaptive Expertise scenario’s worden gebruikt. Binnenkort verschijnt op deze pagina een link naar een boekhoofdstuk waarin de theoretische achtergrond en toepassing van de Adaptive Expertise scenario’s worden toegelicht. Voor wie De materialen zijn bedoeld voor onderwijskundig adviseurs, beleidsmakers, curriculumontwikkelaars, docenten en onderzoekers in het hoger onderwijs, met name binnen interprofessionele en praktijkgerichte opleidingen. Waarom Het stimuleren van adaptive expertise draagt bij aan de ontwikkeling van veerkrachtige, reflectieve en lerende studenten en professionals. Door adaptive expertise te meten kunnen docenten beter inspelen op hoe studenten zich ontwikkelen als oplossers van maatschappelijke problemen buiten hun eigen kennisdomain.

Document

Yvette Baggen, Frank van Rijnsoever, Luc de Jongh

October 1, 2025

Sustainable EU Economy: an interactive Textbook for Business Students

Dear Reader, Welcome to Sustainable EU Economy. This book is more than a textbook—it is an invitation to explore how the European Union shapes business, society, and sustainability in today’s interconnected world. My hope is that it will inspire you to think critically, engage actively, and see how Europe’s vision for a climate‑neutral and inclusive future connects directly to your own journey as a student and professional. This book was created to guide you through one of the most dynamic and influential regions in the world—the European Union. With its single market of over 450 million consumers and policies that shape global standards, the EU is not only a trading bloc but also a laboratory for resilience, sustainability, and innovation. This book will help you see the EU not just as an institution, but as a living system that directly impacts business, society, and the environment. You will explore how Europe is responding to challenges such as climate change, digital transformation, and shifting geopolitics, and how these responses create opportunities for businesses and professionals like you. This textbook is not a static resource but an interactive digital reference, designed to evolve alongside the changing study of European integration and sustainability. By combining case studies, discussion prompts, and applied exercises with live seminar content and guest lectures, it adapts to new research, policy debates, and global challenges. In this way, you may explore the EU not only as a historical and political project, but also as a dynamic economic system that continually reshapes business strategy, trade, and innovation. About the Jean Monnet Chair in Sustainable EU Economy: Awarded by the European Commission to Dr. Beata Kviatek and hosted by Hanze University of Applied Sciences, the Jean Monnet Chair in Sustainable EU Economy represents the first such Chair at a Dutch university of applied sciences. Co‑financed by the Erasmus+ Programme and Hanze University, the Chair advances knowledge of the EU’s transition toward a climate‑neutral, resource‑efficient, and socially inclusive economy. It promotes excellence in teaching and research, integrates sustainability priorities into business education, and fosters dialogue among academia, policymakers, businesses, and society. By producing impactful studies on green finance, energy transition, and corporate responsibility, and by linking local initiatives with EU goals, the Chair provides a vibrant platform for debate and engagement on Europe’s sustainable future.

Open (Access) Text Book

Beata Kviatek

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