Sunday data/statistics link roundup (5/19/2013)19 May 2013
- This is a 1. This is a on 20th versus 21st century problems and the rise of the importance of empirical science. I particularly like the discussion of what it means to be a “solved” problem and how that has changed.
- A discussion in Science about the (arguably) most important statistics among academics, the impact factor and h-index. This comes on the heels of the San Francisco Declaration of Research Assessment. I like the idea that we should focus on evaluating science for its own merit rather than focusing on summaries like impact factor. But I worry that the “gaming” people are worried about with quantitative numbers like IF will be replaced with “politicking” if it becomes too qualitative. (via Rafa)
- A write-up about a survey in Britain that suggests people don’t believe statistics (surprise!). I think this is symptomatic of a bigger issue which is being raised over and over. In the era when scientific problems don’t have deterministic solutions how do we determine if a problem has been solved? There is no good answer for this yet and it threatens to undermine a major fraction of the scientific enterprise going forward.
- Businesses are confusing data analysis and big data. This is so important and true. Big data infrastructure is often critical for creating/running data products. But discovering new ideas from data often happens on much smaller data sets with good intuition and interactive data analysis.
- Really interesting article about how the baseball card numbering system matters and how changing it can upset collectors (via Chris V.).