Scaling Nudges with Machine Learning
By factoring in personality traits, situational features, and timing, we can better persuade people who want to be persuaded.
By factoring in personality traits, situational features, and timing, we can better persuade people who want to be persuaded.
A recent meeting left us feeling queasy. One of us (Jon) was preparing to partner with a large multinational company on a research study involving the company’s employees.
In 1958 a German consulting group came up with an idea to break down barriers to innovation and productivity: the “landscaped office.”
Can humans and computers work together, or should we simply bow down to the algorithms?
Reasoning, problem-solving, symbolic language, planning—these faculties are fundamental to virtually all of our individual and societal accomplishments.
We need creative, disruptive solutions that make a real and lasting dent on inequalities in college completion.
In graduate school, I had an engineering friend named Steve who proposed that he and I, a psychologist, team up to create a machine to predict the future.
Most theories of consciousness, says Neuroscientist Michael Graziano, rely on magic. They point to a feature of the brain—vibrating neurons for instance—and claim that feature to be the source of consciousness.
In the past week, a set of trippy images revealed on Google’s research blog brought the complexity of the human visual system—as simulated by an artificial neural network called GoogLeNet, developed by Google software engineers—to widespread attention.
There is another way—a way that leads to happier workers, more fulfilling work, and more successful companies.