About this ebook
There are more pieces of digital data than there are stars in the universe. This data helps us monitor our planet, decipher our genetic code, and take a deep dive into our psychology.
As algorithms become increasingly adept at accessing the human mind, they also become more and more powerful at controlling it, enticing us to buy a certain product or vote for a certain political candidate. Some of us say this technological trend is no big deal. Others consider it one of the greatest threats to humanity. But what if the truth is more nuanced and mind-bending than that?
In Mindmasters, Columbia Business School professor Sandra Matz reveals in fascinating detail how big data offers insights into the most intimate aspects of our psyches and how these insights empower an external influence over the choices we make. This can be creepy, manipulative, and downright harmful, with scandals like that of British consulting firm Cambridge Analytica being merely the tip of the iceberg. Yet big data also holds enormous potential to help us live healthier, happier lives—for example, by improving our mental health, encouraging better financial decisions, or enabling us to break out of our echo chambers.
With passion and clear-eyed precision, Matz shows us how to manage psychological targeting and redesign the data game.
Mindmasters is a riveting look at what our digital footprints reveal about us, how they're being used—for good and for ill—and how we can gain power over the data that defines us.
About the author
Sandra Matz is the David W. Zalaznick Associate Professor of Business at Columbia Business School and codirector of the Center for Advanced Technology and Human Performance. As a computational social scientist with a background in psychology and computer science, Matz has uncovered the hidden relationships between our digital lives and our psychology, with the goal of helping individuals and businesses make better and more ethical decisions. Her work is frequently covered in major news outlets, including the Economist, the New York Times, the BBC, CNBC, the Washington Post, and the Wall Street Journal.
