Embracing Reflexivity in Research

The importance of reflexivity in research is highlighted in the context of studying the impact of one's own presence and actions on the systems being studied. The need to reflect on how one's decisions shape algorithms, data cleaning, and anomaly handling is emphasized, particularly in comparison to the reflexive practices in computer science. The speakers stress the significance of being aware of personal biases and influences when studying and analyzing systems.