22 July 2017
on course website
Crime on Camera: Analyzing Criminal Events
Social scientists rarely get to observe undisturbed human interaction “in the raw”. Most of what we know about human behaviour is based on retrospective and subjective accounts. Particularly studies of illegal or socially undesirable activities such as violent and criminal behaviour, suffer from this way of measuring because we know that these accounts are biased. However, recently with the advent of advanced recording technologies like high quality CCTV, real-world observations of undisturbed human behaviour have become accessible to social scientists. This method has the potential to revolutionize behavioural science by revealing how we act when we think no-one is watching.
On this course you compare that method, and the data it produces, with insights from traditional forms of observation. In particular, you focus on behavior in criminal events under the auspices of expert lecturers from the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR). What makes an argument escalate into violence? What role do bystanders play? How do people respond to heated discussions in public space? What scenarios make robberies successful or unsuccessful? In addition to lectures on the theoretical underpinnings of interactional approaches to violence and crime, there is plenty of lab and field work. Your practical test bed is the city of Amsterdam, where you gather
real observational data to answer a specific research question. You undertake the entire research cycle, from formulating a problem and hypothesis to collecting data, analysing it in an interactional framework and, finally, presenting your findings.
Dr. Marie Rosenkrantz Lindegaard
• You will be able to formulate research questions and hypotheses regarding observations of behavior in criminal events.
• You will be able to collect observational data about criminal events, ranging from participant observations to CCTV footage.
• You will be able to reflect on the biases involved in sample selection for observational data.
• You will be able to develop coding schemes for the interpretation of observational data related to your research question.
• You will be familiar with the sources of software for the analysis of interactions in time and space.
• See website for more.
45 contact hours
EUR 1000: Included in the tuition fee are:
• Airport pick-up service
• Orientation programme
• Course excursions
• On-site support
• 24/7 emergency assistance
• Transcript of records
• Early bird discount of €150
• €250 discount for students from partner universities.
• 10 scholarships available that cover the full tuition fee of one course.
• Combine 2 courses: €100 discount
• Combine 3 courses: €200 discount
• Additional disc
on course website