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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A tartalmat a LSE Film and Audio Team, London School of Economics, and Political Science biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a LSE Film and Audio Team, London School of Economics, and Political Science vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Seeing the unseen: combining data to better understand our environment
MP3•Epizód kép
Manage episode 517514374 series 3488045
A tartalmat a LSE Film and Audio Team, London School of Economics, and Political Science biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a LSE Film and Audio Team, London School of Economics, and Political Science vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/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.
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continue reading
300 epizódok
MP3•Epizód kép
Manage episode 517514374 series 3488045
A tartalmat a LSE Film and Audio Team, London School of Economics, and Political Science biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a LSE Film and Audio Team, London School of Economics, and Political Science vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/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
300 epizódok
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