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HBO/WO

MBO

July 21, 2026

Introduction to Stochastic Hydrology

Hydrologic systems are both complex and extremely heterogeneous in time and space. As hydrological models are simplified versions of reality, their predictions are by definition subject to uncertainty. The field of stochastic hydrology focuses on quantifying this uncertainty along with prediction. This book aims to present an overview of the field of stochastic hydrology at an introductory level. A wide range of topics and methods will be treated, while each topic and method is only treated at a basic level: descriptive statistics; probability and random variables; hydrological statistics and extremes; random functions; time series analysis; geostatistics; forward stochastic modeling; and state prediction and Kalman filtering. The book can be used for a 10-15-week course at third-year undergraduate or first-year graduate level.

Document

Marc F.P. Bierkens

December 15, 2025

Systems Thinking Pressure Cooker

What – This pressure cooker is an introduction to systems thinking. This pressure cooker can be used to quickly familiarize a group of people with what the characteristics of a system are and have them experience various examples of using systems thinking to explore a topic or question. For whom – The format can be used (and adjusted) for a team of teachers that are not yet familiar with systems thinking, as well as a group of students (all levels; any group size). Why – Guided training in integration of systems thinking in a research project. How long – Approximately 2-2,5 hours in class and a 10 minutes pre-class video.

Presentation

Programma Interdisciplinair Onderwijs

September 20, 2025

Literatuurverkenning kansengelijkheid in het Nederlandse onderwijs

Literatuurverkenning kansengelijkheid in het Nederlandse onderwijs

Document

Edwin Buijs

September 15, 2025

FiReGlass - Glass beams with defined fire resistance

In this recorded presentation from glasstec 2024, Maximilian Möckel, from TU Dresden, discusses fire resistent glass beams. In the construction industry, the application of load-bearing laminated safety glass (LSG), such as glass beams or glass columns, is of particular importance in terms of preventive structural fire protection. LSG with a transformation temperature of individual components of up to 550 °C conse-quently loses its load-bearing capacity. In co-operation between Hero Fire GmbH, Taupitz GmbH & Co. KG and the Institute of Building Construction of the TUD Dresden University of Technology, LSG-beams were developed for use as load-bearing elements with defined fire resistance. The newly developed FiReGlass beam compris-es a load-bearing LSG core, which is protected from the fire exposure by two protection systems. The glass surfaces and lower glass edges are protected by an all-round protection system compris-ing fire protection gel and sacrificial panes. This system is integrated into the support structure. These new developments enable the realization of comprehensive fire protection and defined fire resistance. For further details, please refer to the linked publication. Special thanks to Messe Düsseldorf GmbH for providing the footage, and to Maximilian Möckel for contributing to the Open GLASSroom OER collection. The creation of these resources has been (partially) funded by the ERASMUS+ grant program of the European Union under grant no. 2022-1-DE01-KA220-HED-000089750. Neither the European Commission nor the project's national funding agency DAAD are responsible for the content or liable for any losses or damage resulting of the use of these resources.

Video

Maximilian Möckel

June 6, 2025

How To Write A Quantitative Research Paper

So, you need to write a ‘quantitative’ research paper, and you want to know: what is the correct way of writing such a paper? The answer is, unfortunately: it depends … For one, there is no universally accepted, ‘correct’ way of writing any paper in the social sciences in general. Moreover, even just within the so-called ‘quantitative’ research tradition specifically, there exist different viewpoints on what makes for a good research paper. To muddy things up even further, how to write a paper will also depend on the specific research question(s) that it addresses. Hence, even the same scientist might opt for varying approaches in different papers. Having said that, it is possible to identify some common rules and practices that are often followed, as well as a number of practices that should generally be avoided. Based on these common rules and practices, this document is meant to help you on your way with writing a ‘quantitative’ research paper by offering a number of tips, tricks and rules-of-thumb. None of these rules and practices are set in stone, and you (or your teacher/supervisor) may have excellent arguments to deviate from them. However, in general, following them will greatly increase the quality of your paper.

Document

Alex Lehr, Roderick Sluiter

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

September 14, 2023

Publication strategies & Open Access: Choosing a journal to publish in

Choosing a journal to publish in Where will you publish your next journal article? With thousands of journals available it can be hard to find the right journal for your work. At the bottom of this page you can find an overview of tools that can help you create a 'shortlist' of journals to publish in. Some disciplines or research schools have developed journal lists, providing an overview of the journals most relevant to them. Aims & scope After creating a shortlist of suitable journals you need to check the aims and scope of the journals. Open Access options When choosing a journal the options to publish in Open Access can be important as well. All EUR-researchers are required to make their publications Open Access and most research funders have adopted policies that make Open Access publishing mandatory. AAbstracting and indexing information Where is the journal indexed? In other words: in which databases will researchers and students be able to find your article in their search results? Are these multidisciplinary databases, like Scopus or Web of Science, and/or discipline specific databases like EconLit, ERIC, PsycINFO or Sociological Abstracts? Are these databases you and your peers use? Tools to find journals to publish in Several tools have been developed to help you find suitable journals: these tools allow you to upload title, abstract and/or keywords of your article and – using data of articles already published - matching journals are shown. Some of these tools are publisher specific, others are publisher neutral. Journal lists Some disciplines and schools have created list of journals to publish in. These list are sometimes also used to evaluate researchers. Suggested.

Website

Erasmus University Library

August 23, 2023

Lecture: Exploratory Data Analysis

Naive Bayesian networks Bayesian networks Decision networks Students can define a multivariate joint distribution: multinomial and Gaussian Students can explain the difference between association versus causation Students can define observational, causal, and counterfactual inference Students can define fairness using observational and counterfactual reasoning

Website

HCAIM Consortium

August 23, 2023

Interactive session: Psychological Aspects when working with AI - stress, anxiety, depression

Recognize and articulate the psychological problems that may arise when working with AI technologies, understanding the unique stressors and pressures associated with the field. Analyze the fear of skill obsolescence in the fast-paced AI domain and gain insight into the emotional impact of job insecurity. Discuss the importance of addressing algorithmic bias and promoting fairness in AI systems, discussing the potential psychological implications of biased technologies. Examine the psychological phenomenon of emotional attachment to AI systems, evaluating its implications for human-AI interaction. Identify burnout risk factors in AI work and explore strategies to prevent and address burnout to maintain mental well-being. Recognize the psychological challenge of imposter syndrome in the AI field and discuss ways to build self-confidence and combat feelings of inadequacy. Examine the risk for social isolation. Understand the phenomenon of decision fatigue in AI development and explore strategies for effective decision-making and managing cognitive load.

Website

HCAIM Consortium

August 23, 2023

Interactive session: Risk & Risk mitigation

Recognize, analyze and discuss the necessity and the role of security testing in AI. Employ documents, such as the AI Act, to classify use cases into risk categories. Discuss in-depth and with common European vocabulary on AI risk and how can AI be designed safely and benevolently, in ways that will not expose humans to unacceptable risks of harm, even when risky behaviour may advance a system goal. Classify the obligations of providers and users in relation to AI risk management. Discuss the requirements for high-risk AI systems as per the AI Act. Elaborate and recognize specific risks and risk taxonomies, relevant throughout the different stages of the AI lifecycle.

Website

HCAIM Consortium