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WCQR2025 – 9th World Conference on Qualitative Research

The 9th World Conference on Qualitative Research (WCQR2025) will be held from 4 to 6 February 2025 at Jagiellonian University,…
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Using Artificial Intelligence (AI) tools, particularly Generative AI (GenAI), as support for writing scientific articles can be a valuable approach, especially during the literature review phase.
Incorporating AI into Computer-Assisted Qualitative Data Analysis Software (CAQDAS) presents unprecedented potential and intricate ethical dilemmas in the swiftly evolving landscape of qualitative data analysis.
A utilização de Inteligência Artificial no processo de escrita académica coloca-nos num equilíbrio delicado entre o potencial enriquecedor e a integridade.
Qualitative Research has benefited from the enormous progress in terms of methods and techniques with intensive use of technology. The current demands in the investigative context compel more and more researchers to equip themselves with digital tools that provide speed and efficiency in their research processes.
The seven essential steps or subtasks that we will describe below are transversal or generic to qualitative data analysis techniques. The technique’s focus on the analysis rests on specific choices according to each objective and research questions.