We’ve entered a new era. The creation and collection of information play an ever-increasing — yet often hidden — role in our lives. Algorithms filter all sorts of experiences, from the mundane to the monumental. The fuel that powers and curates these experiences is…data. Data are the new oil; whoever controls data has power. Is this making things better? Worse? Raw Data is a show about how information becomes power. What are the implications for all of us, now that mountains of data are more accessible and malleable than ever?
Episodes post on Thursdays. From Stanford and PRX.
Hosted by Andrea Mustain and Mike Osborne.
We love hearing from you! Please email us at hello@rawdatapodcast.com
We’ve entered a new era. The creation and collection of information play an ever-increasing — yet often hidden — role in our lives. Algorithms filter all sorts of experiences, from the mundane to the monumental. The fuel that powers and curates these experiences is…data. Data are the new oil; whoever controls data has power. Is this making things better? Worse? Raw Data is a show about how information becomes power. What are the implications for all of us, now that mountains of data are more accessible and malleable than ever?
Episodes post on Thursdays. From Stanford and PRX.
Hosted by Andrea Mustain and Mike Osborne.
We love hearing from you! Please email us at hello@rawdatapodcast.com
When humans predict something, it’s basically an educated guess, based on our experiences. When a machine makes a prediction, it uses data and math. And we are increasingly relying on machine prediction to help make decisions in everything from banking to insurance to education. But Meredith Broussard, a professor from New York University, argues that this has all gone too far, especially when you look at what data are being used in machine predictions. And that the “futures” that machines predict should be taken with large grains of salt.
Find out more at rawdatapodcast.com