Data science and artificial intelligence as support for qualitative research

Abstract

This article is presented with the fundamental purpose of specifying the applicability of the so-called “Data Science” and its “Artificial Intelligence” (AI) tools, as support for the development of qualitative research, applied to the study of complex social phenomena. The methodology corresponds to the so-called Qualitative Comparative Analysis, for this the data is taken from a qualitative, referential research, developed using the Phenocomplex method, based on the Models of Viable Systems of Stafford Beer and the Hermeneutical Phenomenology of Van Manen. The findings focused on the comparison of the relationships between phrases and words, as well as the feelings emanating from the protocol anecdotes of four university professors active in two public universities in the state of Trujillo. Finally, it is considered that Data Science and Artificial Intelligence are perfectly applicable, and recommended, as support for the development of this type of research