Small Data

The concept of tiny clues uncovering major insights is fascinating. I'm curious whether this approach grew out of specific case studies or a broader research philosophy.

Some of the case studies were detailed and insightful, but I wondered if they could have been more concise. How did others feel about the balance between theory and application?

The examples felt very curated, making me wonder what criteria guided the selection—was it impact, novelty, or personal preference?