Dark Data Why What We Don't Know Is Even ...

Humanity has learned how to collect, process, and use vast amounts of data in science, business, and everyday life. But what to do with the data we don't have? Is it acceptable to ignore what we don't see? British statistician David Hand suggests that this is at the very least shortsighted, and sometimes extremely dangerous. He identifies 15 types of data that influence our decisions and actions, and which remain in the shadows. For example, we're talking about distress signals that residents in poor neighborhoods might have filed if they had smartphones, medical research results that were deliberately withheld or inadvertently misrepresented, or data that became dark because of a poor set of criteria for inclusion in the sample. Hand also talks about what measures can mitigate the effects of dark data and how they can be turned to their advantage.