Eric Laurier PhD course 2017

Collecting and Representing Ethnographic Video Data

Course leader: Eric Laurier, Senior lecturer, University of Edinburgh

Dates: 7th-8th November 2017

Place: Aalborg, Denmark

Location: CREATE building at the Aalborg University city harbour campus

Room: 6.235 (access is restricted to this corridor)

The overarching aim of the course is to explore the iterative analytic process of conducting ethnographic video research. Based on the approaches that have grown out of ethnomethodology and conversation analysis (EMCA) the course seeks to provide the participants with greater insight into two main areas:

Day 1: Collecting ethnographic video data.

The collecting of audio-visual data is exciting, yet difficult to master. The students will be introduced to some of the technical and practical issues of collecting data ‘in the wild’.

Day 2: Presenting data and findings.

What are the best ways to represent your data to others in journals or at conferences? The students will be introduced to some of the innovative and diverse ways to do transcriptions and representations of complex video ethnographic data.

A full programme is available here.

A student who has met the objectives of the course will be able to:

  • Identify technical and practical issue of collecting audio-visual data
  • Do preliminary analyses of video recordings
  • Choose the better way to represent data in diverse contexts (e.g. journals, conferences, data-sessions)

Students are required to undertake preparatory reading. A list of course readings is available here.

A brief abstract (1 page) describing the students own project and data must be sent to the course arranger three weeks before the course. Six students will give brief presentations of their work so far. Four students selected by Eric Laurier will present their data in 2-hour ‘data sessions’. Traditionally within EMCA, data sessions are a crucial part of doing analyses. In the sessions, one student presents his or her video data and a corresponding transcription. The data is watched multiple times in plenum and afterwards each participant is invited to elaborate on what he or she finds to be analytically ‘interesting’ for whatever reason (without critical comment from others). What makes such an approach fruitful, is that the participants are free to bring into the discussion any observation he or she likes, but it has to be grounded in the data (ten Have 2007).

Full attendance of this course will earn a student 2 ECTS.

Please register for this course online. Participation is limited to 10 students on a first-come, first-served basis. The deadline for registration is October 17th.

All discussions will be in English.