  AcademiaOS is a first attempt to automate grounded theory development in
qualitative research with large language models. Using recent large language
models' language understanding, generation, and reasoning capabilities,
AcademiaOS codes curated qualitative raw data such as interview transcripts and
develops themes and dimensions to further develop a grounded theoretical model,
affording novel insights. A user study (n=19) suggests that the system finds
acceptance in the academic community and exhibits the potential to augment
humans in qualitative research. AcademiaOS has been made open-source for others
to build upon and adapt to their use cases.
