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HBO/WO

MBO

April 30, 2025

PFAS – Persistent Micropollutants in the Water Cycle

This report presents the final course material that was developed for the online learning module on persistent micropollutants – PFAS. The document can be used as a stand-alone manual to fully individually follow the entire course, from week to week. It includes the links to the video materials that were developed for the course within the project, fully integrated within the reading material. The course forms a bridge between scientists and professionals working in the water cycle. So far, the information on PFAS has been available in a scattered manner, making it difficult for non-experts to get a complete introductory overview. This course was designed to compile information on PFAS through the water cycle, from production to use and final treatment. The course is built up in an intuitive way: it starts with a general introduction on the origin, chemistry and nomenclature of PFAS; national standards and reported concentrations in the urban water cycle are presented; analytics are explained; the course concludes with technologies for separation and final destruction of PFAS. Each chapter (or week) contains written textbook material, videos and additional reading material. Development of the course has been a co-production between PROMISCES and TU Delft, as TU Delft has an extensive educational support system including a professional recording studio and an expert learning assessment system for engineering education. All materials including videos are freely available for the general public. If the learner wants the full experience of having virtual classmates, get access to all exercises and receive a certificate and credit points after successful completion of the course, one can register at online-learning.tudelft.nl. The course was developed by two environmental engineers with a professional educational background (Mariska Ronteltap and Kim Lompe). The educational videos include knowledge clips (recorded lectures in a studio), videos in laboratories, interviews with PROMISCES project partners and videos on location. To be able to follow the course a basic understanding of chemistry is required; other than that, the course is fully understandable for non-experts. Collaboration between TU Delft, Delfland Water Authority, and the EU Project PROMISCES.

Document

Kim Maren Lompe, Mariska Ronteltap

2025

Skills for Changemakers

Lessons learnt from 4 years implementing skills learning trajectories in BSc Programmes at the WUR

Document

Julia Postulka

2024

Workshop Data Management: an introduction

This workshop will discuss the following topics: What is Research data management The importance of Research data management RDM and the Research data life cycle – Break-out Data management plan and its content

Presentation

Alie Mud

November 1, 2023

INPRO Student-Run Interprofessional Learning Ward (SR-IPLW)

In 2019, an SR-IPLW was started in the rehabilitation centre “Revalidatie Friesland” (RF) in The Netherlands. This was a collaboration between RF and Hanze University of Applied Sciences (HUAS). The starting point of the SR-IPLW was that students are 'in the lead' and to create an innovative climate in which we continuously work on improvements for patients, students, lecturers, and health care professionals through interprofessional collaboration. We work based on practice-based evidence. This document describes the current situation at the SR-IPLW. In the future, we hope to further optimize the SR-IPLW based on the described principles.

Document

J.J.S. Hurkmans, Katrien Colman, Line Atsma, E. van Lingen, P. Tammeling

November 1, 2023

INPRO Student-Run Interprofessional Learning Ward (SR-IPLW)

This social business case describes the motivation to develop a Student-Run Interprofessional Learning Ward (SR-IPLW), where patients, students, lecturers, and professionals learn and work together. Students are in the lead of SR-IPLW together with professionals and lecturers on the basis of patients' needs. Coaching and supporting the lecturers and professionals. Everyone learns and continues learning, which means that the SR-IPLW is constantly evolving. Innovation and Research support this process. The business case makes clear that with a modest financial investment, an extensive (organization-wide) commitment, and solid (organization-exceeding) cooperation, an SR-IPLW can be realized with a fundamental social impact. A new way of education, and a different approach of treatment resulting in a permanent influx of interprofessional educated young talented professionals.

Document

P. Tammeling, J.J.S. Hurkmans

October 20, 2023

Acts and Responsibility of AI

This lecture considers the relevance of the cognitive sciences for law when it comes to acts and responsibility (or liability) of artificially intelligent agents. It addresses whether we (1) can, and (2) should hold AI liable. The lecture is part of project RECOGNISE. RECOGNISE aims at developing an interdisciplinary training curriculum on legal reasoning and cognitive science, filling a gap in legal higher education. It is a strategic partnership of six European universities for higher education sponsored by the ERASMUS+ Programme. The project will provide the interested learners (legal researchers, law students, legal practitioners, and beyond) with introductory and advanced materials on topics including heuristics and biases in adjudication, cognitive structure of legal concepts, and defeasible reasoning in law. Materials will be provided in the form of an online handbook, video lectures, summer schools, and other online and on-campus activities.

Website

Antonia Waltermann

October 20, 2023

The dual challenge from AI and cognitive science

This lecture offers a theoretical framework for analysing the ways in which insights about human and artificial cognition challenge existing legal (reasoning) practices. It briefly touches on possible pathways to address these challenges as well. The lecture is part of project RECOGNISE. RECOGNISE aims at developing an interdisciplinary training curriculum on legal reasoning and cognitive science, filling a gap in legal higher education. It is a strategic partnership of six European universities for higher education sponsored by the ERASMUS+ Programme. The project will provide the interested learners (legal researchers, law students, legal practitioners, and beyond) with introductory and advanced materials on topics including heuristics and biases in adjudication, cognitive structure of legal concepts, and defeasible reasoning in law. Materials will be provided in the form of an online handbook, video lectures, summer schools, and other online and on-campus activities.

Website

Antonia Waltermann

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

August 14, 2023

Citing information: Choose a citation style

Choose a citation style When writing an academic paper, you need to provide references to all the works you cite. You are responsible for checking the accuracy and completeness of these references. Suggested.

Website

Erasmus University Library

August 10, 2023

Research Data Management: Open Data

What is Open Data? Open Data is data that anyone can access, use and share. Open Data challenges intelligent and creative minds to provide societal value. Open Data applications allow us to make better use of existing resources and create new products and services. Open Data is also one of the cornerstones of Open Science, a concept central to science practitioners and policy makers of today, promoting (re)use of research data and results amongst scientists, the business community and society as a whole. Open Data and academic research In academia, Open Data are used in humanities and cultural heritage research communities (e.g. Journal of Open Humanities Data (JOHD), Europeana); Open Data are also common in the life sciences (e.g. Elixer) and in economics (e.g. World Bank). Some open datasets can be useful to explore societally relevant questions relevant to current policy debates and topics of interest to specific demographics. Open Data is also important for educational purposes (e.g., see Bishop & Kuula-Luumi, 2017). Open Data applications Open Data helps to create (new) value for societies, citizens and businesses. There are now several examples of successful startups with innovative applications of Open Data. Appealing examples are available in health, transport, energy and the environmental sector (see ODINE for examples). I want to work with Open Data. Where to start, who to contact? A good starting point for information and inspiration on “all things” Open Data is the Open Data Handbook. This online handbook provides case studies, learning resources and networked information on Open Data. Related. Support.

Website

Erasmus University Library