Avant-garde and arts-based methods in qualitative research - Online (join a waiting list)
Date:
21/03/2022 - 23/03/2022
Organised by:
The University of Manchester
Presenter:
Dr Alexandrina Vanke and contemporary artist Victoria Lomasko
Level:
Intermediate (some prior knowledge)
Contact:
Claire Spencer, claire.spencer@manchester.ac.uk
Venue: Online
Description:
This course will give you an overview of avant-garde and arts-based approaches of doing qualitative research and provide you with basic knowledge about creative methods in the social sciences.
Led by Dr Alexandrina Vanke and contemporary artist Victoria Lomasko, we will cover a full-cycle qualitative study and explain how to incorporate arts-based strategies at all stages. We will discuss how to:
• create research designs building on avant-garde, documentary and ethnographic approaches;
• combine arts-based strategies of data collection, such as drawing and collage, with qualitative methods of observation, participation and interview;
• use sketches and comics in the study of everyday lives, urban landscapes and material culture;
• elaborate strategies of analysis of multisensory data;
• employ the research assemblage and write research poems complemented by visual narratives;
• apply arts-informed strategies of dissemination of research outputs.
You will need to bring pencils, markers, paper, old magazines, scissors and glue, and some of your qualitative data as well.
The course will run on Zoom from 10:00-13:00 each day (charged at 1.5 full days)
Timetable
Day 1
10.00-10.15 Introductions
10.15-10.45 Defining avant-garde and arts-based methods
10.45-11.00 Discussions in small groups on building arts-based research designs
11.00-11.15 Drawing as a method of studying urban imaginaries + practical task
11.15-11.30 Q&A and discussion on making and using drawings in research
11.30-11.45 Break
11.45-13.00 Drawing landscape and still life: 2 practical tasks + discussion
Day 2
10.00-10.20 Collage as an avant-garde and arts-based method of data collection
10.20-11.00 Practical task + discussions in small groups on using collages in participatory arts-based research
11.00-11.20 Overview of arts-based and creative strategies of data analysis
11.20-11.30 Q&A and discussion on the application and ethics of arts-based methods of analysis
11.30-11.45 Break
11.45-13.00 Synthesising texts and images: 2 practical tasks on drawing portraits + discussion
Day 3
10.00-10.45 Literary genres of avant-garde and arts-based research + 2 practical tasks on writing research poems
10.45-11.00 Q&A + discussions on poetic inquiry in small groups
11.00-11.30 Creative strategies of dissemination of research outputs
11.30-11.45 Break
11.45-12.45 Basics of comics: practical task on creating a comic strip + Q&A
12.45-13.00 Discussion on the advantages and limitations of avant-garde and arts-based methods and overall comments
Cost:
The fee per teaching day is: • £30 per day for students • £60 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. No refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course. The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Region:
North West
Keywords:
Visual Data Analysis, Qualitative Approaches (other), Creative Methods training
Related publications and presentations from our eprints archive:
Visual Data Analysis
Qualitative Approaches (other)