Saudi Succession, City Growth, Fish Mutations, Big Data

Saudi Succession, City Growth, Fish Mutations, Big Data

Top of Mind with Julie Rose - Season 1, Episode 58

  • May 7, 2015 6:00 am
  • 1:42:14 mins
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Saudi Succession (1:10) Guest: Fred Axelgard, a senior fellow in international relations, at the Wheatley institution at BYU and a former state department official who served in US embassy in Saudi Arabia Saudi Arabia is Top of Mind. The kingdom has been one of America’s most important Arab allies, is a top exporter and is deeply embroiled in the war in neighboring Yemen. And in the last two weeks, Saudi King Salman made surprising, and unprecedented, changes in the kingdom’s leadership, calling into question much of the conventional wisdom about the Saudi Arabia. City Growth (21:25) Guest: Michael Smith, a Mesoamerican archaeologist and a professor in the School of Human Evolution and Social Change at Arizona State University It’s difficult to imagine that large urban centers in 2015, with their trains and taxis and traffic and tall buildings, could bear any resemblance at all to ancient settlements like the Aztecs of Mesoamerica. But archaeologists increasingly believe that urban centers follow predictable growth pattern that are the same no matter the era. Deep-Sea Fish Mutations (34:39) Guest: Michael Kent, a professor in the Department of Fisheries and Wildlife at Oregon State University. His study on the effects of toxicants on mile-deep ocean fish was published in the journal the Marine Environmental Research Even if they don’t live close to the shore, fish can’t escape the consequences of human pollution. Scientists have recently discovered that deep-sea fish in the Bay of Biscay, west of France, have developed odd mutations from the poisons and metals that accumulate there. The findings are troubling both for the fish and the humans who could be harmed by eating them. Power of Twitter (51:27) Guest: Sudha Ram, lead researcher on the study that used Twitter, Google Searches and environmental monitoring data to predict emergency room visits for asthma attacks with remarkable accuracy. Ram is also a professor of management information systems and computer science at the University of Arizona Rese

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