法蘭克•巴納比（Frank Barnaby） 為核子物理學家、恐怖主義研究專家，曾任職於英國原子武器研究中心（Atomic Weapons Research Establishment）、倫敦大學學院（University College London）、斯德哥爾摩和平研究院（Stockholm International Peace Research Institute）、阿姆斯特丹自由大學（Free University）。目前於牛津研究中心（Oxford Research Group）研究軍事科技、民用與軍用核能，以及恐怖份子與大規模毀滅性武器。

Weapons of mass destruction (WMD) are the greatest threat to national security in the twenty-first century. How to Build a Nuclear Bomb explains what it takes for a rogue state or terrorist group to obtain and use them. But nuclear weapons and terrorism expert Frank Barnaby has not written a collection of scare stories. His purpose in How to Build a Nuclear Bomb is to counte...(展开全部)

◎ 著者 科林·塔克（Colin Tucker），已经在英国核工业领域工作了30年，大部分时间都在赛兹韦尔B号核电站，他的专长是“核安全”：保证反应堆安全运行，并确保核电站能够应付任何可能出现的问题。长期以来，他在学校、俱乐部和其他场合向公众介绍核电站的原理、安全性的经验。 ◎ 译者 黄欣，清华大学工程物理系核能与核科技专业硕士研究生，获得国家、国际专利各两项，发表SCI论文一篇，参与翻译业内图书七本。

在线阅读本书 Quizzes and examples of actual vocabulary tests are included in an informal guide to vocabulary enrichment for students, businessmen, and general readers.

在线阅读本书 Quizzes and examples of actual vocabulary tests are included in an informal guide to vocabulary enrichment for students, businessmen, and general readers.

A former Wall Street quant sounds an alarm on mathematical modeling—a pervasive new force in society that threatens to undermine democracy and widen inequality. We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathema...(展开全部)

We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health insurance--are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil revea...(展开全部)

凯西·奥尼尔（Cathy O'Neil） 数据科学家，mathbabe.org 的博主。博士毕业于哈佛大学，主修数学专业。她曾在巴纳德学院任教，之后为私营企业服务，例如避险基金。她还在各类新型公司担任数据科学家，预测消费者购买与点击趋势。每周她都会出现在“财富记账”的播客上。

凯西·奥尼尔（Cathy O'Neil） 数据科学家，mathbabe.org 的博主。博士毕业于哈佛大学，主修数学专业。她曾在巴纳德学院任教，之后为私营企业服务，例如避险基金。她还在各类新型公司担任数据科学家，预测消费者购买与点击趋势。每周她都会出现在“财富记账”的播客上。

We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health insurance--are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil revea...(展开全部)