Why AI has a “proving the obvious” problem, and what we can do about it

Guest post by Kai Dröge, Institute for Social Research Frankfurt, Germany, and University for Applied Science, Lucerne, Switzerland. Together with Colin Curtain, he develops QualCoder, an open-source QDA software with included AI support. Guest posts express the views of guest contributors and do not necessarily represent the views of the CAQDAS Networking Project or constitute […]


Integrating Interpretative Phenomenological Analysis (IPA) with ATLAS.ti

Guest post by Juraj Čáp, PhD. Associate Professor (Systematic Philosophy), Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Slovakia Sometimes it can be confusing to know how to use a CAQDAS program for a specific qualitative data analysis method because the software is usually not directly adapted to it, and so you need […]


The AI Dilemma in Qualitative Research: Progress, Pitfalls, and the Price of Innovation

Guest post by Jessica Nina Lester (Indiana University, Bloomington) & Trena M. Paulus (Eastern Tennessee State University) In November 2022, ChatGPT was released and became widely available to the public. Some researchers quickly moved to herald its potential in supporting research activities, while others urged caution. An increase in the speed and scale of research […]


Embracing the Paradigm Shift: Moving Beyond Coding in Qualitative Research

Guest Post by Susanne Friese, Director of Qeludra B.V. and developer of QInsights. Qualitative research is entering a transformative era, driven by the integration of artificial intelligence (AI). This shift challenges traditional practices, including the long-standing reliance on coding as the foundation of qualitative data analysis. While some may view this change with scepticism, others […]


CAQDAS Webinar Summary: Marginal Moments: Can Generative AI help us better understand the general election?

by the CAQDAS Networking Project. We aim to raise awareness and build capacity concerning the appropriate use of digital tools for qualitative data analysis. Part of that effort is accomplished via our free webinar series, where we invite developers and users of qualitative tools to present work-in-progress and discuss the process and implications of their […]


Trapped by the Slickness of AI: Understanding the Lure of Large Language Models

Guest post by Julia Ligteringen, Business Development and Customer Success Manager at Leximancer Guest posts express the views of guest contributors and do not necessarily represent the views of the CAQDAS Networking Project or constitute an endorsement of any product, method or opinion You’re staring at your screen, enthralled by a perfectly coherent response from […]


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