Analyzing and Theorizing Raw Qualitative Data as a Collective
Professional Development Workshop (PDW) at the 3rd Open Strategy Workshop,
Innsbruck, Austria
Sponsored by the Strategizing Activities and Practice (SAP) division of the Academy of Management
Date: June 24th, 2026
Time: 13:00am
End time: 17:00pm
Location/Venue: UR3 at SOWI Campus, Universitätsstraße 15, 6020 Innsbruck
Deadline for applications: April 15th, 2026
Who can join: The workshop can be attended by anyone with an interest in or curious about analysing qualitative data in a collective manner and is independent of the Open Strategy Workshop. Participation is free, you just need to sign up before-hand (see below for details on how to do so).
Organizers: Stina Rydell Brøgger (University of Twente), Monica Nadegger (LMU Munich & MCI - The Entrepreneurial School), and Ellen Nathues (University of Twente).
Description:
Much of interpretive data analysis remains implicit and hard to articulate, especially in the early stages of identifying interesting patterns, puzzles, and theoretical connections. Common questions abound, particularly so for Early Career Researchers, such as: Is what I am seeing in the data interesting and relevant? Is it ‘strategy’? Do others share my observations and interpretations? What additional angles could be useful for my work, and which theoretical notions could I maybe contribute to? How can I unravel strategizing in micro-interactions, conversations, and other forms of qualitative data? We believe such questions are best addressed collectively. That is precisely why, with this PDW, we seek to create a space where scholars can jointly discuss raw qualitative data around strategizing processes and practices and generate new ideas on how to approach and analyze qualitative data.
The PDW facilitates knowledge exchange, fosters new connections and collaborations, and offers a hands-on workshop where a select number of presenters share their raw data for joint analysis with other participants. By “raw data,” we refer to the original, unprocessed materials collected during research, such as transcripts or recordings of interviews or natural conversations, field notes, open-ended survey responses, or visual documents, before any coding, categorization, or interpretation has been applied.
Preliminary program:
1) Welcome and introduction by the convenors
2) Presentation & collective discussion of 2-3 datasets
3) Collective reflection of the practices and principles of collective qualitative data analysis
Call for Contributions and participation formats:
We invite applications from scholars with interest in how to analyze raw qualitative data from a variety of perspectives centering on strategy. There are two ways of participating: (a) with sharing your own data (presenter) or (b) without sharing your own data (discussant). Please indicate clearly in your application if you wish to be a presenter or discussant. The deadline for all applications is April 15th, 2026. Please send your application in a pdf-format to stina.brogger@utwente.nl.
a) Presenter: If you would like to participate and share your own data, please submit a single document that includes the following information:
- Your name, affiliation, contact details, and career stage;
- A short introduction to your empirical data (including what intrigues, puzzles, or in another way touches you about the data)
- An extract/description of or a link to your raw data (if the data is not anonymized or publicly available, please make sure to acquire the needed consent)
We welcome various data types, including (but not limited to) the following:
- Textual (e.g., archives, emails, reports, blogs, social media, etc.)
- Audio (e.g., audio recordings + transcriptions of interviews, conversations, etc.)
- Visual (e.g., video recordings + transcriptions of meetings, interventions, as well as Youtube videos, images, drawings, etc.)
- ‘Unconventional’ data (artworks, co-created data, poetry, diaries, podcasts, etc.)
(Please make sure that transcripts are translated to English for the application and the PDW).
b) Discussant: If you would like to participate without sharing your own data, please submit a single document that includes the following information:
- Your name, affiliation, contact details, and career stage;
- A short text about your interest in attending the PDW and what sort of data you typically or presently work with, including the perspective(s) you apply
- If applicable: Your prior experience with collective analysis and critical reflections thereof (or of working with qualitative data more generally). Think of questions such as those listed in the description or questions such as: What excites/frustrates you when analyzing data individually vs. collectively? What is data to you, and specifically, what is data beyond just the empirical basis of your work?
If you have any questions or hesitations, please get in touch with the organizing team stina.brogger@utwente.nl, monica.nadegger@lmu.de, and e.nathues@utwente.nl.
We look forward to welcoming you at our PDW in Innsbruck, June 2026.