WHAT’S THIS SESSION ABOUT?
Qualitative research enables the in-depth exploration of social phenomena and the complexity of human interactions. Non-numerical data is created – often in the form of interviews, observation protocols, or visual materials. However, both data preparation, such as transcribing audio files, and data analysis prove to be extraordinarily time-intensive.
In the digital age, qualitative researchers with programming backgrounds are increasingly developing innovative software solutions to support their colleagues in these labor-intensive processes. The integration of AI-supported tools into qualitative research thereby leads to important controversial discussions within the research community.
While epistemological debates about the impact of digital methods on the research process remain essential, this Data Snack focuses on concrete tools that are based on AI models or incorporate them for support. The aim of this session is to highlight possibilities that exist beyond ChatGPT. While the open-source nature of these tools allows for code review and modification, researchers remain responsible for implementing appropriate data protection measures, evaluating algorithmic bias, and maintaining methodological transparency in AI-assisted analysis workflows.
WHERE AND WHEN?
The session will take place from 1:00 to 1:30pm via Zoom. There will be a 15-20 minute presentation followed by an open forum for questions and discussion. The slides will be shared afterwards. We look forward to exciting discussions!
Zoom Link: https://uni-bremen.zoom-x.de/j/61666538039?pwd=JZTcc15FcsrZwedVYuMoVuhp3sPLCF.1
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ABOUT THE SPEAKER
Nele Fuchs has a background in philosophy, material culture: textiles (Carl von Ossietzky University of Oldenburg), and transcultural studies (University of Bremen). From 2020 to 2023, she was a editor-in-chief of the publication series “Studien zur Materiellen Kultur”, which is published by the Institute for Material Culture in its own publishing house (open access). As a data scientist, she bridges the gap between humanities research and digital methods – whether in the implementation of digital humanities projects, the development of computer-assisted approaches to qualitative research, or the management of sensitive data in compliance with FAIR principles.
