Which of Fry's four points (that existing data design paradigms do not account for extremely large data sets, changing data sets, interactive platforms, and accessibility by a wide range of users) still apply ten years later, and in what contexts?
How much statistics should designers know, and how much design should statisticians and scientists know? What's a productive way to bridge this gap without creating untenable expectations?
How have the roles of stats and dataviz templates changed over the years? How might they continue to change; are they being used responsibly?