Science Podcast - Checking the hubris of big data harvests and a news roundup (14 Mar 2014)
Science Magazine Podcast
Science Podcast
4.3 • 842 Ratings
🗓️ 14 March 2014
⏱️ 23 minutes
🧾️ Download transcript
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| 0:00.0 | Introducing Peak Scientific. With over 25 years of expertise, Peak leads the industry in providing |
| 0:06.8 | reliable, high purity gas generators for LCMS and GCMS. Whether you're in the lab conducting |
| 0:13.2 | groundbreaking research or pushing the boundaries of science, trust Peak Scientific to supply |
| 0:18.7 | gas for undisrupted workflows. |
| 0:24.4 | When it comes to your LC or G.C, don't settle for less. |
| 0:30.8 | Choose the solution that is tested, validated, and approved by leading instrument manufacturers globally. |
| 0:36.6 | Visit peak scientific.com and quote science podcast to receive special offers. This podcast is supported by the Icon School of Medicine at Mount Sinai, |
| 0:40.9 | the academic arm of the Mount Sinai Health System in New York City, |
| 0:44.5 | and one of America's leading research medical schools. |
| 0:47.6 | What are scientists and clinicians working on to improve medical care and health for women? |
| 0:52.5 | Find out in a special supplement to Science magazine |
| 0:55.0 | prepared by the Icon School of Medicine at Mount Sinai in partnership with science. Visit our website |
| 1:00.5 | at www.s.combe at www.combe-science.org and search for Frontiers of Medical Research |
| 1:04.9 | and Women's Health. The Icon School of Medicine at Mount Sinai, we find a way. |
| 1:20.7 | Welcome to the science podcast for March 14, 2014. |
| 1:22.1 | I'm Sarah Crespi. |
| 1:29.3 | In this week's show, we avoid big data traps and David Grimm is here with the latest stories from our daily news site. |
| 1:38.9 | Support for the science podcast is provided by AAAS, the American Association for the Advancement of Science. |
| 1:44.8 | AAAS, the Science Society, at www.aaaas.org. |
| 1:57.4 | In 2008, Google launched Flu Trends, a tool intended to predict flu outbreaks based on user search terms related to the illness. But in the years since its launch, Google FluTrents has lost its predictive power. |
| 2:04.9 | I spoke with David Lazar about the fate of Flu Trends and how lessons from this project |
| 2:09.7 | can be generalized to other big data sets from the web and beyond. |
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