Signals, Communication, and Science: Damian Sowinski on Using Information Theory to Understand the World

Signals, Communication, and Science: Damian Sowinski on Using Information Theory to Understand the World

ICE@Dartmouth Podcast

20/01/2021 2:22PM

Episode Synopsis "Signals, Communication, and Science: Damian Sowinski on Using Information Theory to Understand the World"

Information Theory is a fundamental part of modern computing and communication that helps us better send, receive, and interpret signals. It's been with us in some form since the early 20th century and without it, modern conveniences like talking on the phone, listening to the radio, or placing an online order may look very different or not even be possible. But Information Theory can offer us much more than a few modern conveniences. It may also help us better understand how to think, learn, and do science.   In this episode, I'm going to talk with Dr Damian Sowinski first about what this theory is, and then what it might be able to tell us about how we can both study and better understand the world around us. 

Listen "Signals, Communication, and Science: Damian Sowinski on Using Information Theory to Understand the World"

More episodes of the podcast ICE@Dartmouth Podcast