Cool Science Radio is a weekly, hour-long program that focuses on the latest developments and discoveries in the fields of science and technology. Co-hosts Lynn Ware Peek and Scott Greenberg decipher what's new with science and technology experts in an entertaining, amusing and accessible way.
From the discovery of new dinosaurs to the science of an avalanche, from the secret technology behind Facebook, to the latest developments in nanotechnology — Cool Science Radio hosts Lynn Ware Peek and Scott Greenberg decipher science and technology discoveries in an entertaining, amusing and accessible way. If they can understand it, so can you.
Cool Science Radio is sponsored by:
For questions and inquiries, or to inquire about appearing on the show, contact the hosts directly at coolscienceradio@kpcw.org.
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Digital illusionist and author Keelan Leyser reveals how the hidden blind spots in our perception shape everything from everyday decisions and online behavior to courtroom verdicts and deepfakes in his new book “Unseen: Blind Spots and Why We Miss What Matters Most.”
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NASA Scientist Dominic Benford takes a behind the scenes look at NASA’s Nancy Grace Roman Space Telescope before it launches in September. Learn how this first-of-its-kind observatory will map the universe one panoramic frame at a time.
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From advising the White House on science and technology policy to leading AI strategy at the University of Utah, Dr. Manish Parashar discusses how artificial intelligence is reshaping research, industry and everyday life.
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Beth Simone Noveck discusses how artificial intelligence could strengthen democracy, improve government services and help rebuild public trust in institutions.
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Elizabeth Hellmuth Margulis explores how music can transport us into vivid inner worlds and what those musical daydreams reveal about the mind.
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Astrophysicist Emma Chapman explores how radio waves reveal the hidden universe and what they can teach us about everything from distant planets to the origins of the cosmos.
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NASA Scientist Dominic Benford takes a behind the scenes look at NASA’s Nancy Grace Roman Space Telescope before it launches in September. Learn how this first-of-its-kind observatory will map the universe one panoramic frame at a time.Then, digital illusionist and author Keelan Leyser reveals how the hidden blind spots in our perception shape everything from everyday decisions and online behavior to courtroom verdicts and deepfakes in his new book “Unseen: Blind Spots and Why We Miss What Matters Most.”
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Beth Simone Noveck, author of "Reboot: AI and the Race to Save Democracy," discusses how artificial intelligence could strengthen democracy, improve government services and help rebuild public trust in institutions.Then, from advising the White House on science and technology policy to leading AI strategy at the University of Utah, Dr. Manish Parashar discusses how artificial intelligence is reshaping research, industry and everyday life.
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NASA Sagan Fellow Margaret Thompson discusses her groundbreaking research on rocky exoplanets. Using laboratory experiments and theoretical models, she explores how these distant “magma worlds” form, evolve and develop atmospheres that may one day reveal signs of life. (1:06)Then, science journalist Rebecca Boyle discusses her Scientific American article on mysterious “Little Red Dots” discovered by the James Webb Space Telescope that could reshape how scientists understand the early universe. (28:08)
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Elizabeth Hellmuth Margulis explores how music can transport us into vivid inner worlds and what those musical daydreams reveal about the mind. (1:09)Then, astrophysicist Emma Chapman explores how radio waves reveal the hidden universe and what they can teach us about everything from distant planets to the origins of the cosmos. (27:05)
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Kevin Williams, founder and CEO of Ascend AI Labs, explores how AI has evolved from a future possibility into a powerful opportunity and how organizations are learning to harness it to work smarter, move faster, and stay competitive in a rapidly changing world.Then, University of Utah chemist Matthew Sigman explains how machine learning is transforming drug discovery. By predicting how molecules form, especially their critical “handedness,” new tools can dramatically cut the time, cost, and trial-and-error required to develop life-saving medicines.