From the former Governor of the Bank of Canada, a far-seeing guide to the powerful economic forces that will shape the decades ahead. The economic ground is shifting beneath our feet. The world is becoming more volatile, and people are understandably worried about their financial futures. In this urgent and accessible guide to the crises and opportunities that lie ahead, econom...(展开全部)

约翰·肯尼思·加尔布雷思（John Kenneth Galbraith），哈佛大学保罗·M.沃伯格经济学名誉教授。他担任过美国驻印度大使，美国战略轰炸调查委员会主席、美国经济安全政策办公室主任、美国经济学会会长和许多政治职务，如美国人民争取民主行动组织的主席。在20世纪下半叶的前40年里，他笔耕不辍，撰写了三十多部著作，可谓是著作等身。包括《经济学与公共目标》、《价格控制理论》、《经济学和辩论艺术》、《1929年大萧条》、《丰裕社会》、《新工业国》、《不确定的年代》等。

迈克尔•斯宾塞 Michael Spence 现任纽约大学斯特恩商学院经济学教授、胡佛研究所高级研究员，并担任增长和发展委员会（CGD）主席。由于在不对称信息市场分析方面的开创性研究，他于2001年获得诺贝尔经济学奖。 《下一次大趋同》是他的最新　力作。

Shortlisted for the 2018 Royal Society Investment Science Book Prize and 2018 Baillie Gifford Prize. ‘One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.’ (The Times) You are accused of a crime. Who would you rather determined your fate – a human or an algorithm? An algorithm is more consistent and less prone to error of judge...(展开全部)

A look inside the algorithms that are shaping our lives and the dilemmas they bring with them. If you were accused of a crime, who would you rather decide your sentence—a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many ...(展开全部)

Shortlisted for the 2018 Royal Society Investment Science Book Prize and 2018 Baillie Gifford Prize. ‘One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.’ (The Times) You are accused of a crime. Who would you rather determined your fate – a human or an algorithm? An algorithm is more consistent and less prone to error of judge...(展开全部)

A look inside the algorithms that are shaping our lives and the dilemmas they bring with them. If you were accused of a crime, who would you rather decide your sentence—a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many ...(展开全部)

A sweeping history of data and its technical, political, and ethical impact on our world. From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn’t just...(展开全部)

Chris Wiggins, an associate professor of applied mathematics at Columbia University, is the New York Times’s chief data scientist. He lives in New York City. Matthew L. Jones is a professor of history at Princeton University and has been a Guggenheim Fellow. He lives outside Princeton, New Jersey.

[美]马修·比索普，《经济学人》杂志的商业评论作者。 [美]迈克尔·格林，政府机构与非政府组织间的沟通专家。