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Make Better Decisions In The Age of Big Data


A Financial Times and Economist Book of the Year

'Wonderfully stimulating... will teach you to see around corners' - TIM HARFORD
'A paean to cognitive agility and the elasticity of the imagination' - ECOMOMIST
'Captivating... will transform the way you think' MARISSA KING, PROFESSOR AT YALE SCHOOL OF MANAGEMENT

The power of mental models to make better decisions

We're often told that humans make bad decisions and that more data is better. But this is backwards: people are good at decisions precisely because we use mental models and can envision new realities outside of data. Great outcomes don't depend so much on the final moment of choosing but on generating better alternatives to choose between. That's framing. It's a cognitive muscle we can strengthen to improve our lives, work and future -- to meet this historical moment. Framers shows how.


  • A tightly written prescription for smart thinking... A bold call to reinject pluralism and progressive human values into a decision-making process dominated by algorithms or gut instinct
    Financial Times -- 2021 Summer Books List

About the authors

Kenneth Cukier

Kenneth Cukier is a Senior Editor at The Economist, and host of its weekly tech podcast. He is also an associate fellow at Saïd Business School at the University of Oxford, researching artificial intelligence. His TED Talk on AI and society has over 2 million views. Kenn was a foreign correspondent for two decades in Europe, Asia and America and a research fellow at Harvard's Kennedy School of Government. He serves on the board of Chatham House and is a member of the Council on Foreign Relations.
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Viktor Mayer-Schoenberger

Viktor Mayer-Schönberger is Professor of Internet Governance and Regulation at the Oxford Internet Institute at Oxford University. He is also a faculty affiliate of the Belfer Center of Science and International Affairs at Harvard University. Viktor and his work have been featured in (among others) the New York Times, the Wall Street Journal, the Financial Times, The Economist, Nature, Science, BBC and Wired Magazine. He is also on the boards of foundations, think tanks and organizations focused on studying the information economy, and advises governments, businesses and NGOs on new economy and information society issues.
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Francis de Vericourt

Francis de Véricourt is Professor of Management Science at the European School of Management and Technology (ESMT) in Berlin. His current research explores how machine learning affects the way individuals frame their decisions and give rise to incentive problems. He has lived and worked in France, USA, Germany and Singapore. He has given talks at Yale University, Wharton School of Business, London Business School, Cambridge University, Tsinghua University, Singapore National University and many others, and has been the recipient of multiple teaching awards.
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