An award-winning cannabis podcast for women, by women. Hear joyful stories and useful advice about cannabis for health, well-being, and fun—especially for needs specific to women like stress, sleep, and sex. We cover everything from: What’s the best weed for sex? Can I use CBD for menstrual cramps? What are the effects of the Harlequin strain or Gelato strain? And, why do we prefer to call it “cannabis” instead of “marijuana”? We also hear from you: your first time buying legal weed, and how ...
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Seeing the unseen: combining data to better understand our environment
MP3•Episode home
Manage episode 517491776 series 30146
Content provided by LSE Film and Audio Team, London School of Economics, and Political Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LSE Film and Audio Team, London School of Economics, and Political Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Contributor(s): Professor Claire Miller, Dr Sefi Roth | Join us as the University of Glasgow’s Claire Miller explores the statistical and data analytics approaches being developed to successfully bring different data sources together to improve environmental planning and management. We now have the potential to access more data than ever before, which can help us to explore important, complex and increasingly pressing environmental issues. However, each source of data often has its own limitations, meaning there's often missing information from an individual data source. To get a more complete picture, we can combine data from different data sources. Considerable challenges exist in integrating the data in this way as the data can be recorded at different time points and/or in different spatial locations, can be large but also have gaps, and data sources can have varying levels of uncertainty, different data structures and types.
…
continue reading
1624 episodes
MP3•Episode home
Manage episode 517491776 series 30146
Content provided by LSE Film and Audio Team, London School of Economics, and Political Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LSE Film and Audio Team, London School of Economics, and Political Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Contributor(s): Professor Claire Miller, Dr Sefi Roth | Join us as the University of Glasgow’s Claire Miller explores the statistical and data analytics approaches being developed to successfully bring different data sources together to improve environmental planning and management. We now have the potential to access more data than ever before, which can help us to explore important, complex and increasingly pressing environmental issues. However, each source of data often has its own limitations, meaning there's often missing information from an individual data source. To get a more complete picture, we can combine data from different data sources. Considerable challenges exist in integrating the data in this way as the data can be recorded at different time points and/or in different spatial locations, can be large but also have gaps, and data sources can have varying levels of uncertainty, different data structures and types.
…
continue reading
1624 episodes
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