The Promise and Perils of Synthetic Data
Synthetic data generated by large language models (LLMs) is rapidly transforming social science research. Although statistical and sampling methods have long been...
Seeing It from Other Eyes: How First-Person Data Reshapes the Role of the Applied Ethnographer
This paper argues that first-person data—video, audio, and other data that is recorded from the research participants’ point of view through wearable technology—affords...
Ethnography for the AI Age: How to Get Started
Artificial intelligence (AI) has made huge strides recently in areas like natural language processing and computer-generated images – every other week seems to...
Putting the ‘Social’ Back in ‘Social Science’ Research
Remember the days when a main challenge of the EPIC community was convincing executives that humans weren’t just rational actors all the time? Back when arguing...
Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms
As algorithms play an increasingly important role in the lives of people and corporations, finding more effective, ethical, and empathetic ways of developing them...
A Case for Ethnography in the Study of Corporate Competencies
In business thinking, ‘core competencies’ have long been seen as the critical factor that distinguishes great from good. Great companies have strong core competencies...