WCQR2025 Pre-Conference Panel Discussion

Redefining the Qualitative Researcher's Role in Era of AI and Digital Innovations

September 18th, 2024 | Online (Free)

02:00 PM (CEST/UTC+02:00 – Paris, Rome, Stockholm, Warsaw…)
08:00 AM (EDT/UTC-04:00 – New York, Washington, Miami, Toronto, Montreal…)
08:00 PM (UTC+08:00 – Shanghai, Beijing, Singapore, Manila, Perth…)
see the corresponding time in your timezone >

Duration: 60 minutes

To register, please follow the link at the bottom of the page.

This Panel Discussion is part of the pre-WCQR2025 program. The 9th World Conference on Qualitative Research (WCQR2025) will be held from 4 to 6 February 2025 at Jagiellonian University, in Kraków, Poland, and from 11 to 13 February 2025 Online.

The integration of Artificial Intelligence (AI), Natural Language Processing (NLP), and Large Language Models (LLMs) is revolutionizing qualitative research. These advanced technologies offer new tools and methodologies for collecting, analyzing, and interpreting qualitative data.

This panel will explore the latest trends in computer-supported qualitative research, highlighting how these innovations are enhancing the depth, efficiency, and scope of qualitative studies. It aims to provide a comprehensive understanding of how AI, NLP, and LLM are transforming qualitative research. By discussing practical applications, ethical considerations, and future trends, the panel will equip researchers with the knowledge and tools to harness these technologies effectively in their qualitative studies.

Moderator:

Grzegorz Bryda, Jagiellonian University (PL)

I am an Assistant Professor at the Jagiellonian University, Head of and (Summer School for Qualitative Data Analysis and Research Methods). I am interested in Cognitive Sociology, Narrative Research Methodology and Data Analysis, Digital Humanities and Corpus Linguistics, CAQDAS + Content Analysis + Natural Language Processing and Text Mining in QDA.I have longterm experience in conducting quantitative and qualitative research methodology and data analysis: moderating Focus groups (+450 FGI) and In-depth interviews (+300 IDI), Content analysis and Computer-assisted qualitative data analysis (CAQDAS), Qualitative data modelling using NLP and Text mining techniques, Statistical and Data mining analysis.

Panelists:

Judita Kasperiuniene, Vytautas Magnus University (LT)

Judita Kasperiuniene is an Associate Professor and Head of the System Analysis Department at the Faculty of Informatics, Vytautas Magnus University, Lithuania. Judita received her Ph.D. in Education (qualitative study) and conducted a multidisciplinary Post-Doctoral research (mixed methods study). She has a postgraduate degree in technology-enhanced learning (University of Liege, Belgium) and an MSc in information technologies (Kaunas University of Technology, Lithuania). In her work, Judita is currently focusing on issues of VR/AR applications in social settings, designing serious games, online media discourses, identity construction in mediated environments, and intersections of education, communication, and new technologies. Recently, Judita conducts interdisciplinary research examining smart technology solutions in museums, individual and community identity construction, and the use of modern technology in the non-formal adult education sector.

Prokopis A. Christou, Cyprus University of Technology (CY)

Prokopis is an Assistant Professor at the Cyprus University of Technology. He is the editor of the forthcoming book "Artificial Intelligence (AI) in Social Research." He is also the author of the papers "Thematic Analysis through Artificial Intelligence (AI)" and "The Use of Artificial Intelligence (AI) in Qualitative Research for Theory Development." He has published books and various articles in academic journals, including conceptual studies, critical perspective articles, systematic reviews, ethnographic, phenomenological, and other empirical studies. His interest in AI stems from his observation that it is becoming increasingly useful in research, yet is associated with a number of risks. As such, he is investigating the applications, potentials, dynamics, limitations, and perils of AI in research and different social fields.

Tamara Pataki, VERBI GmbH (DE)

Tamara leads the Community Relations Team at Verbi Software, the creator of MAXQDA, and is a Certified MAXQDA trainer. She oversees and delivers training on a range of MAXQDA features, including AI-Assist. Tamara is particularly interested in the integration of large language models into QDA software and how advancements in this area are impacting qualitative data analysis processes. Currently, she is pursuing a Ph.D. in International Political Economy at the Central European University in Vienna, where she focuses on the constitutive role of international organizations in shaping global trade.

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