{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fhuman-centered.simplecast.com%2Fepisodes%2Fsusanholmes-NgpJOS5y","width":444,"version":"1.0","type":"rich","title":"From Big Data to Big Variables - Susan Holmes","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/354744df-ac88-4968-bb9f-59170fc87b6b/04482c91-14f6-455f-966c-09be81afe082/podcast-logo-large.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/f6a0b982-a87b-4144-8cf1-36fb1d98caab\" height=\"200\" width=\"100%\" title=\"From Big Data to Big Variables - Susan Holmes\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Susan Holmes, a Stanford professor of statistics and 2017-18 CASBS fellow, chats with host John Markoff about her applied work on the human microbiome, the difficulty with P-Values, the power of heterogeneous data, and her research on Claude Shannon - widely known as the father of information theory and himself a CASBS fellow in 1957-58.\n"}