Video Production for Anthropology and Social Research


05/06/2023 - 12/06/2023

Organised by:



Mark Saunders & Dr. Michele de Laurentiis


Entry (no or almost no prior knowledge)


Michele de Laurentiis,


View in Google Maps  (SW11 5QL)


No 25, 99-109 Lavender Hill, London SW11 5QL


This course is addressed to social researchers interested in using video during their fieldwork or to disseminate their research projects. It will equip you with a working knowledge on video production, as well as the best practice for conducting video interviews, creating engaging visual narratives and using cameras in the field.

This course comprises two parts:

Part 1 - Production: filming, videography (in-person or online)
In-person: London SW11, 10:00-17:00
- June 10-11

or Online: on Zoom, 15:00-18:30 London time
- June 5, 6, 7, 8

Part 2 - Webinar (online only)
Online: on Zoom, 15:00-18:30 London time
- June 12

Each module builds on the last and will cover key concepts and offer practical exercises to develop your skills and confidence in technical and creative aspects of video making. All modules will be recorded and you will have access to the recordings in case you want to refresh the content or you are not able to attend.

It does not include video editing, which can be booked separately either as standalone course or as part of the Participatory Video Workshop which includes participatory video tools and approaches to research as well as video editing and participatory video editing.

Our history and methods

Our past work and projects




Website and registration:


Greater London


Mixed Methods, Visual Methods, Narrative Methods, Documentary Analysis, Visual Data Analysis, Thematic Analysis, Qualitative Approaches (other), Technology, Alternative Methods of Dissemination, Data Visualisation, Dissemination through Film and Video

Related publications and presentations:

Mixed Methods
Visual Methods
Narrative Methods
Documentary Analysis
Visual Data Analysis
Thematic Analysis
Qualitative Approaches (other)
Alternative Methods of Dissemination
Data Visualisation

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