Eric discusses the complexities of data collection in social sciences, particularly when working with vulnerable populations. He highlights the challenges of gathering accurate information from individuals experiencing homelessness, emphasizing the importance of language and trust. The conversation also touches on the contrast between robust data in computer science and the messy, often incomplete data social scientists encounter, revealing a fascinating interplay between uncertainty and algorithmic design.
