Network Analysis in Law and Criminology

Target group

PhD and post-doctoral researchers who apply (social) network analysis in their research related to law or criminology.

Members of the Doctoral School of Arts, Humanities and Law, and members of the Doctoral School of Social and Behavioural Sciences.

Topic

This course aims to highlight the use of social network analysis (SNA) in criminological and law research and aims to support students applying this approach in their research. It distinguishes between quantitative and qualitative studies, including interpreting SNA research findings and translation of SNA results. Students are encouraged to discuss their own experiences with SNA.

Objectives

  1. Understanding and being able to apply the basics of SNA, including theory and statistical analysis.
  2. Understanding the differences between quantitative and qualitative SNA studies. 
  3. Being able to translate own research into SNA objectives and methods.
  4. Being able to translate research findings from SNA studies, both quantitative and qualitative, into conclusions and results for policy and practice.
  5. Sharing own experiences, both written and oral, and learning from fellow students' experiences through group discussions.

Lecturers

  1. Dr. Emmanuel Abatih is a Postdoctoral Research Associate at Ghent University, specialized in methodology and statistics.
  2. Prof. dr. Arjan Blokland is a Professor of Criminology and Criminal Justice at Leiden University and an expert in the study of organised and networked crime (e.g., outlaw motorcycle gangs).
  3. Dr. Peter Klerks is a coordinating policy adviser to the Board of Procurators-General of the Netherlands Public Prosecution Service and an expert in the application of the network paradigm to criminal organisations in the Netherlands.

Dates and venue

3 – 5 July 2023

Campus Aula, Faculty of Law and Criminology – Auditorium  I (Rode Zaal)

Programme

Day 1: 13h30 - 17h15

An introduction of social network analysis in which theory and basic measures will be discussed by Dr. Abatih.

Day 2: 9h- 18h

Prof. dr. Blokland will focus on the application of SNA in quantitative research, and the interpretation and valorization of quantitative SNA. These sessions will be followed by extra preparation time for the poster session of day 3.

Day 3: 9h- 18h

Prof. dr. Klerks will focus on the application of SNA in qualitative research, and the interpretation and valorization of qualitative SNA. The day will be closed with a poster session.

Registration

Follow this link to register.

Participants should write a preparatory paper (max. 1 page) at registration, including experiences and use of SNA in own research, questions regarding SNA, and issues that they want to see covered during the course. 

The registration will only be complete if the required preparatory paper has been sent to summerschool.sna@ugent.be by the 15th of June 2023.

If the number of registrations is higher than the maximum number of participants, a selection will be made.

Registration fee

Free of charge for Doctoral School members. The cost for externals is €50.

The no show policy applies.

Number of participants

Maximum 30 participants

Language

English

Evaluation method

100% attendance and active participation. Submission of preparatory 1-pager before the course and presenting poster during the course (day 3).

After successful participation, the Doctoral Schools will add this course to your curriculum in Oasis. Please note that this takes up to one to two months after completion of the course.

Contact information

summerschool.sna@ugent.be