What We Are Reading Today: Beaten Down, Worked Up Steven Greenhouse

Updated 07 October 2019

What We Are Reading Today: Beaten Down, Worked Up Steven Greenhouse

Beaten Down, Worked Up — from longtime New York Times labor correspondent Steven Greenhouse — is an in-depth look at working men and women in America, the challenges they face, and how they can be re-empowered

Greenhouse writes in depth of the history and current state of American labor and specifically highlights labor unions. 

Greenhouse “probably knows more about what is happening in the American workplace than anybody else in the country, having covered labor as a journalist for two decades,” said Zephyr Teachout in a review for The New York Times. 

Teachout said Greenhouse “achieves a near-impossible task, producing a page-turning book that spans a century of worker strikes, without overcondensing or oversimplifying, and with plausible suggestions for the future.”

The review said Greenhouse “may be a great advocate for unions, but he has no patience for union insiders who have grown used to internal power, who ask for too little and focus too much attention on strategies designed to minimize damage.”


What We Are Reading Today: Dark Data by David J. Hand

Updated 21 February 2020

What We Are Reading Today: Dark Data by David J. Hand

In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. 

Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. 

In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we don’t see, says a review on the Princeton University Press website.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken. 

Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control them. 

In doing so, he teaches us not only to be alert to the problems presented by the things we don’t know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions.