Qualitative Research Methods in Computer and Information Science

The field of computer and information science has traditionally emphasized quantitative research methods. This course introduces a novel perspective by exposing doctoral students to alternative research approaches, specifically the application of qualitative methods. By integrating these methods, students can gain deeper and complementary insights to enrich their predominantly quantitative research. This course introduces doctoral students to key concepts, approaches, and techniques in qualitative research, with a focus on their application within computer and information science. Students will gain an understanding of the research underpinnings of qualitative inquiry, explore common data collection and analysis methods, and critically assess their use in empirical research. The course encourages reflection on ethical considerations, the researcher's role, and the value of qualitative approaches in addressing complex questions in socio-technical environments. Through independent and guided work, students will be supported in developing research designs aligned with qualitative traditions, applicable to their own doctoral projects or problem domains. The idea is for students to use a qualitative method as a supplement to their primary research method, for example, using a focus group, interview, case study, observation, quasi-experiment, experiment, Delphi method, action research, grounded theory, etc.