Systematic video observation is a methodology developed as a joint venture of scholars from criminology, anthropology, psychology, ethology, and sociology over the last five years. The course is therefore also set up as a joint venture between the scholars that have been involved in this development. They will take on the role of instructors in the course.
The course consists of a weekly session explaining the different steps in our approach to video analysis. Each session includes two presentations of about 45 minutes, one suggested reading, and a suggested exercise of watching and analyzing videos of human conflicts that are available online. Additionally, we offer a list of suggested literature, see below.
Even though online environments are contrary to the working procedure that we usually apply in the process of carrying out systematic video observations – namely sitting in the same room and discussing analytical dilemmas and choices in a group – we decided to offer it online. The online engagement will not replace our usual working procedure but offers a second best in times of a public health crisis.
Period: 30 October to 11 December 2020
Time: Fridays between 15 and 17
Medium: Online via Zoom
Relevance: Students, PhD’s and scholars
Instructors: Camilla Bank Friis (University of Copenhagen), Richard Philpot (Lancaster University), Peter Ejbye-Ernst (NSCR/UvA), Lasse Liebst (University of Copenhagen/NSCR), Wim Bernasco (NSCR/VU), Virginia Pallante (NSCR), Don Weenink (UvA), Marie Rosenkrantz Lindegaard (NSCR/UvA)
Coordinator: Marie Rosenkrantz Lindegaard
Register via email@example.com.
Time: 30 October, 15-17
Instructor: Marie Rosenkrantz Lindegaard and Camilla Bank Friis
Prelude: Why use video for studying human conflict?
Step 1: Choosing source
Time: 6 November, 15-17
Instructor: Marie Rosenkrantz Lindegaard and Peter Ejbye-Ernst
Step 2: Getting access
Step 3: Dealing with technicalities
Time: 13 November, 15-17
Instructor: Richard Philpot and Lasse Liebst
Step 4: Selecting the sample
Step 5: Developing the ethogram
Time: 20 November, 15-17
Instructor: Camilla Bank Friis and Peter Ejbye-Ernst
Step 6: Applying coding
Step 7: Ensuring validity
Time: 27 November, 15-17
Instructor: Wim Bernasco and Peter Ejbye-Ernst
Step 8: Testing reliability
Step 9: Applying statistics
Step 10: Sharing ethograms, data and findings
Time: 4 December, 15-17
Instructor: Virginia Palante and Don Weenink
Learning from ethology
Learning from ethnomethodology
Time: 11 December, 15-17
Instructor: Marie Rosenkrantz Lindegaard (but shared discussion)
Postlude: How will systematic video observations bring conflict studies further?
Lindegaard, Marie Rosenkrantz, and Wim Bernasco. 2018. Lessons Learned from Crime Caught on Camera. Journal of Research in Crime and Delinquency 55 (1):155-186.
This is an editoral paper of a special issue dedicated to camera-based research in criminology.
Nassauer, Anne, and Nicolas M. Legewie. Video Data Analysis:A Methodological Frame for a Novel Research Trend. Sociological Methods & Research.
Philpot, R., L. Liebst, K. Møller, M.R. Lindegaard, and M. Levine 2019. Capturing Violence in the Night-Time Economy: A Review of Established and Emerging Methodologies. Aggression and Violent Behavior 46: 56-65.
This paper is a comprehensive general discussion of the methodology of video data analysis in the social sciences.
Jones, Laura K., Bonnie Mowinski Jennings, Ryan M. Goelz, Kent W. Haythorn, Joel B. Zivot, and Frans B. M. de Waal. 2016. An Ethogram to Quantify Operating Room Behavior. Annals of Behavioral Medicine 50 (4):487-496.
This paper provides an example of how an ethogram was constructed in the process of conducting a social science study.
Friard, Olivier, and Marco Gamba. 2016. BORIS: a free, versatile open-source event-logging software for video/audio coding and live observations. Methods in Ecology and Evolution 7 (11):1325-1330.
This paper describes the BORIS software. (The software and additional material is freely available at www.boris.unito.it).
Zimmerman, Patrick H., J. Elizabeth Bolhuis, Albert Willemsen, Erik S. Meyer, and Lucas P. J. J. Noldus. 2009. The Observer XT: A tool for the integration and synchronization of multimodal signals. Behavior Research Methods 41 (3):731-735.
This paper describes the Observer XT software (produced by Noldus).
Dabney, Dean A., Richard C. Hollinger, and Laura Dugan. 2004. Who actually steals? A study of covertly observed shoplifters. Justice Quarterly 21 (4):693-728.
This paper examines shoplifting by covertly recorded camera footage in a retail drug store. Of the customers, 8.5% of were observed shoplifting. Behavioral indicators carried far more predictive power than demographic characterstics.
Levine, Mark, Paul J. Taylor, and Rachel Best. 2011. Third Parties, Violence, and Conflict Resolution: The Role of Group Size and Collective Action in the Microregulation of Violence. Psychological Science 22 (3):406-412.
This paper is one of the first to study real-life human violence and conflict using CCTV footage of public settings in the nighttime economy in England.
Lindegaard, Marie Rosenkrantz, Lasse Suonperä Liebst, Wim Bernasco, Marie Bruvik Heinskou, Richard Philpot, Mark Levine, and Peter Verbeek. 2017. Consolation in the aftermath of robberies resembles post-aggression consolation in chimpanzees. PLoS ONE 12 (5):e0177725.
This is a paper that analyzes consolation behavior in the aftermath of commercial robberies caught on security cameras in The Netherlands, and is the source of some exercises and materials in the ASC 2018 pre-meeting workshop.