Deborah Cullinan’s job is to integrate arts of every form across campus. She says art has the power to heal and may be the answer to many of our present-day societal problems, such as growing political polarization and social isolation borne by the pandemic. Art advances equity, improves health, and enhances well-being for all, she says. Everyone should see themselves as artists—engineers, physicians, political scientists alike. "We all want to have creative lives," Cullinan tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.

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Helen Bronte-Stewart is a neurologist and an expert in movement disorders, like Parkinson’s. She says new approaches, such as closed-loop deep-brain stimulation, and new digital health technologies that chart subtle changes in movement are reshaping the field, leading to new understandings and new treatments for this once-untreatable disease. To modulate behavior, you first have to measure it, Bronte-Stewart tells host Russ Altman. It’s the future of movement disorders in this episode of Stanford Engineering’s The Future of Everything podcast.

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Our guest, Christopher Manning, is a computational linguist. He builds computer models that understand and generate language using math. Words are the key component of human intelligence, he says, and why generative AI, like ChatGPT, has caused such a stir. We used to hope a model might produce one coherent sentence and suddenly ChatGPT is composing five-paragraph stories and doing mathematical proofs in rhyming verse, Manning tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.

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This episode of The Future of Everything podcast with Mehran Sahami first ran in 2019. We’re sharing it again to offer a glimpse into the ways our faculty are thinking about computer science education, an increasingly popular and impactful field of study. Earlier this week, Sahami and another of his colleagues, Chris Piech, launched the third offering of Code In Place, a free online course that offers coding education to people all over the world. 

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Kathleen Eisenhardt is an expert in strategy and organizational behavior. She studies corporate decision making. She says the most creative companies are like jazz bands. Bound by a few simple rules, they are able to innovate continually. Other companies are like orchestras, tied to rigid scores and complex rules; they find it hard to improvise. If innovation is your metric, Eisenhardt says, having a few simple rules is the best path to success, as she tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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While DNA may be the blueprint of life, proteins are the workhorses, says Polly Fordyce, a bioengineer, explaining how one of her favorites, kinesin, “walks” in 8-nanometer steps transporting chemical cargo through the body. More remarkable still, Fordyce says, kinesin is just one among thousands of “incredible” proteins that make life happen, as she tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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Rising temperatures and rainfall from climate change will have a surprising effect on human health, says biologist Erin Mordecai, an expert in diseases borne by mosquitoes, ticks and other living creatures. Such conditions are perfect breeding grounds for parasites that will bring deadly diseases to the U.S. and other places once thought out of reach. Hope may rest in mathematical models to guide smarter environmental policies, as Mordecai tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast. 

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When we’re sick, the time between onset and diagnosis is critical, sometimes life-saving. It turns out the human immune system is pretty good at knowing what’s making us sick. In fact, it’s telling us all the time, but only now is science tuning in to what nature has to say, explains Purvesh Khatri. The immune system is a “perfect diagnostic,” he tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.

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When one has a medical procedure in America, it is often an algorithm that figures out how much of the cost will be reimbursed. That leads to a lot of unfairness, worse health outcomes for many and a group of insurers who learn to game the system, says guest Sherri Rose, a statistician and health policy researcher who studies the causes of such inequities. Rose is using artificial intelligence to root out these bad incentives and to bring greater equity and better care to the American health system, as she tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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With the advent of wearable devices and omnipresent monitoring of heart, lungs, blood and more, scientists can now gather unprecedented amounts of personal medical data. Just ask guest Michael Snyder, referred to as “medicine’s most-measured man.” He is the author of Genomics and Personalized Medicine: What Everyone Needs to Know and has collected billions of bytes of his own biodata. Snyder says that all this data can lead to earlier diagnosis than ever before, often before symptoms appear, as he tells host Russ Altman on this episode of Stanford Engineering's The Future of Everything podcast.

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