Education

Erasmus Centre of Empirical Legal Studies

Erasmus Centre of Empirical Legal Studies (ECELS) offers an educational programme to develop passive as well as active empirical legal study skills. Given that many arguments related to legal issues require empirical evidence, it is common for legal scholars to cite empirical studies without actively engaging in empirical research themselves. For that purpose, it is important that legal scholars are trained how to interpret empirical work and be able to critically assess the value and limitations of the studies which might support their arguments. Passive understanding of empirical legal studies is also important to “speak the language” of the methodology scholars, with whom legal scholars may fruitfully collaborate. ECELS also aspires to offer training in the active understanding of empirical legal studies. Such skills can enable legal scholars to conduct empirical research themselves.

Lecturers: Prof. Jonathan Klick (Theory) and Dr Jaroslaw Kantorowicz (Practice)
Programme: EDLE

Legal scholarship has grown increasingly empirical with researchers attempting to test legal theories that had previously been based on anecdotes or intuitions. Because we generally cannot run controlled experiments in legal and policy contexts, a number of issues arise with respect to causal inference. This course will highlight strategies used in empirical law and economics to isolate how legal and regulatory changes affect individual behaviour. Prior knowledge of statistics and STATA/R is required.

Lecturer: Dr Jaroslaw Kantorowicz (Practice)
Programme: EDLE

This course will shed light on how novel computationally intensive methodological developments, which have lapped at the shores of social science for several years now, can be productively used in legal research. We will focus on supervised and unsupervised automated content analysis techniques and social network analysis. Prior knowledge of statistics is required. The instructor will use the programme R and will provide the students with external videos to acquire basic knowledge of R prior to the beginning of the course.

Lecturer: Prof. Christoph Engel
Programme: EDLE

Machine learning is the core of artificial intelligence. With the drastic increase in computing power, and even more the availability of large legal or law-related data sets, these methods are increasingly invading the law. Yet before a legal researcher can master their power for her own research, she needs to understand their logic, and must learn how to implement them computationally. Prior knowledge of statistics and is required. If participants want to implement the code themselves, they should have a basic understanding of R's syntax.

Note: Students who do not have prior knowledge in statistics, but are interested in following the advanced courses, may consider following external online statistics courses. For example, two Coursera courses (by UvA): Basic Statistics and Inferential Statistics

Lecturers: Dr. Tamar Fischer; Dr. Fiore Geelhoed; Prof. Karin van Wingerde
Programme: Master in Criminology

Scientific research can be used to shape the safety policy, to test its effectiveness and to use interventions in the field of prevention, investigation or prosecution (risk analysis). In the first place, we will look at the different trends in evaluation research and the types of research that can be done within the policy cycle. In the second part of this course, we show how qualitative analysis can be used to uncover the assumptions underlying policy. In the last part of this course, attention is paid to the design and application of (risk) assessment models.

Prof. Philip Hans Franses; in Dutch

In this minor, students learn to assess quantitative data within a legal context. They will get basic knowledge of statistics and learn how to calculate probabilities and make predictions.

This  first year bachelor course offers a first introduction to social scientific research methods used in criminology.

In this second method course the knowledge from Methods and Techniques I is deepened and becomes more applied with regards to the collection and analysis of qualitative and quantitative data.

In this course, the main focus is on (the application of) qualitative research methods, such as interviewing and observation. Qualitative data analysis is extensively discussed.

Vergelijk @count opleiding

  • @title

    • Tijdsduur: @duration
Vergelijk opleidingen