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Zoekresultaten (17)

HBO/WO

MBO

8 april 2026

Legal Network Analysis

How can complex legal systems, filled with interconnected cases, statutes, and actors, be understood through data? Legal Network Analysis offers law students and researchers a practical guide to mapping and interpreting relationships in legal data using the tools of network science. Building on the foundations of graph theory, this open textbook shows how relationships between cases, statutes, or states can reveal underlying structures in law that traditional methods often overlook. Whether analysing citation networks, treaties among nations, or the diffusion of legal norms, readers learn to translate legal questions into visual and quantitative insights. Developed by the Law and Tech Lab at Maastricht University, this resource combines conceptual clarity with applied learning. Each chapter blends concise explanations with interactive Jupyter notebooks, allowing readers to reproduce, modify, and experiment with examples in real time. Appendices include step-by-step guidance for data preparation, visualisation, and software setup; making the book equally accessible for newcomers and advanced students. Designed to support the Network Analysis course at Maastricht University, this textbook is also a valuable standalone introduction for anyone exploring the data-driven dimensions of law and policy.

Open (Access) Tekst Boek

Gustavo Arosemena, Gijs van Dijck, Roland Moerland

1 februari 2021

Example of an analysis of a policy network

What is actor analysis? If you want to solve a complex problem or design a new policy it is important to know the playing field and to know who your friends are and who are the foes. You have to know the concerns and issues of other actors and you may need to take those into account when designing a strategy for problem solving. Who has the power to block your plans and whom you need to incorporate or involve in your work to generate social support for your policy or project. For effective policy analysis and policy design it is important to systematically explore the socio-political environment you are operating in. How to explore and map these social and political playing field for policy making is exactly what we will learn to do in this part of the course.

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Bert Enserink

1 februari 2021

The importance of actor analysis

What are actors? Social entities that have an interest in a system, and/or have some ability to influence that system. This can be groups and organizations, but also important individuals can be considered as actors. This is web lecture 1: why an actor analysis? for mapping and analyzing the network surrounding your case. Knowing more about the actors and the networks in which they operate helps to improve the quality of our analysis as we can tap on the wisdom of the crowds and exploit local knowledge. Know your field, beware of the concerns and issues of other actors and keep them in mind when you design your policies and try to create support for your plans and policies.

Website

Bert Enserink

21 maart 2022

Medical Image Analysis

This course is a sequel to the image processing course (8DB00) in the TU/e bachelor program Biomedical Engineering. In the Medical Image Analysis course (8DC00), we concentrate on more advanced image analysis methods and on how they can be used to tackle clinical problems. Topics covered include image registration, computer-aided diagnosis and machine learning. The course has a very strong focus on programming (implementing medical image analysis methods) in Python and relies on previous knowledge of calculus and linear algebra.

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Maureen Eijnatten, van, Mitko Veta, Veronika Cheplygina, Daniel Krahulec, Evi M.C . Huijben

21 maart 2022

Lectures Medical Image Analysis course (8DC00)

This a series of presentation used in the Medical Image Analysis course

Website

Maureen Eijnatten, van, Mitko Veta, Veronika Cheplygina, Daniel Krahulec, Evi M.C . Huijben

1 februari 2021

Actor analysis, step 3

Step 3 Formal relations in the network to see what hierarchical and legislative rules apply in our case. What formal rules and regulations? Start with the statutory framework. Map the formal relations and responsibilities

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Bert Enserink

21 maart 2022

Reader of the Medical Image Analysis course (8DC00)

This is the reader associated to the Medical Image Analysis course.

Website

Maureen Eijnatten, van, Mitko Veta, Veronika Cheplygina, Daniel Krahulec, Evi M.C . Huijben

1 december 2022

Case Law Explorer: UI

Legal scholars and law students generally analyse court decisions by means of human analysis. Case Law Explorer is a tool for conducting network analysis on Dutch (and in the near future also European) case law, directed at law students and legal researchers. The software enables extracting, processing, and visualizing citations in court decisions (references in court decisions to other decisions). The software allows finding precedents (court decisions that provide rules that can be applied to solve current or future cases) and identifying groups of decisions on similar (sub-)topics. The link to the materials covers the documentation for the software, including the link to the software itself. The web application draws data from a data pipeline that extracts, transforms, and loads case law. The data pipeline, the underlying software platform, and links to Github repositories, can be found at https://maastrichtlawtech.github.io/case-explorer-ui/#/.

Website

Gijs van Dijck, Maxine Hanrieder

10 oktober 2015

How to achieve effective water protection policies

In order to design innovative water policies, the concerted action by diverse parts of society, economy, and politics is necessary. In the video, several dancing styles (hip hop, house, salsa, acrobatics) stand for diverse political groups, which fight over the use and the protection of water resources. This ' Dance Your PhD' video was created as part of the 'sciencetainment project' organised by Science Magazine .

Video

Florence Metz

23 augustus 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

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HCAIM Consortium