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Everything is Better with Maths: Optimisation, with Prof. Miguel Anjos and Dr. Lars Schewe

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İçerik EUSci tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan EUSci veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

For the final episode of the season, we have another joint interview! Prof. Miguel Anjos and Dr. Lars Schewe both work in the field of mathematical optimisation, looking at different aspects of energy networks. They dive into how optimisation can be used to solve problems at any scale, from sorting out your local bus route to managing the decarbonisation of a country's energy system. And ultimately (spoiler alert!) we conclude that maths is everywhere.

Find out more about the Edinburgh Research Group in Optimization, a collaboration within the University of Edinburgh School of Mathematics. You can also visit Miguel's website to find out more about his work. The paper that Tom mentioned is Strassburg et al. (2020) Global priority areas for ecosystem restoration, Nature 586, 724-729.

Not Another Science Podcast is co-created by Helena Cornu (@helenacornu) and Tom Edwick (@edwicktom), brought to you by Edinburgh University Science Magazine (EUSci). Our podcast logo was designed by Apple Chew (@_applechew). The podcast cover art was designed by Heather Jones (@heatherfrancs). We'll be back next semester with a whole new series, so stay tuned.

In the meantime, you can visit our website at www.eusci.org.uk to check out the latest issue of the magazine, a ton of other cool science content by our student journalists, and to see how to get involved. We’re also on Facebook, Instagram, LinkedIn, and Twitter. All podcast episodes and transcripts can be found at www.eusci.org.uk/podcasts/.

Music by Kevin Macleod:
https://incompetech.filmmusic.io/song/3788-funkorama;
https://incompetech.filmmusic.io/song/3787-funk-game-loop
http://creativecommons.org/licenses/by/4.0/

  continue reading

58 bölüm

Artwork
iconPaylaş
 
Manage episode 278542188 series 2735743
İçerik EUSci tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan EUSci veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

For the final episode of the season, we have another joint interview! Prof. Miguel Anjos and Dr. Lars Schewe both work in the field of mathematical optimisation, looking at different aspects of energy networks. They dive into how optimisation can be used to solve problems at any scale, from sorting out your local bus route to managing the decarbonisation of a country's energy system. And ultimately (spoiler alert!) we conclude that maths is everywhere.

Find out more about the Edinburgh Research Group in Optimization, a collaboration within the University of Edinburgh School of Mathematics. You can also visit Miguel's website to find out more about his work. The paper that Tom mentioned is Strassburg et al. (2020) Global priority areas for ecosystem restoration, Nature 586, 724-729.

Not Another Science Podcast is co-created by Helena Cornu (@helenacornu) and Tom Edwick (@edwicktom), brought to you by Edinburgh University Science Magazine (EUSci). Our podcast logo was designed by Apple Chew (@_applechew). The podcast cover art was designed by Heather Jones (@heatherfrancs). We'll be back next semester with a whole new series, so stay tuned.

In the meantime, you can visit our website at www.eusci.org.uk to check out the latest issue of the magazine, a ton of other cool science content by our student journalists, and to see how to get involved. We’re also on Facebook, Instagram, LinkedIn, and Twitter. All podcast episodes and transcripts can be found at www.eusci.org.uk/podcasts/.

Music by Kevin Macleod:
https://incompetech.filmmusic.io/song/3788-funkorama;
https://incompetech.filmmusic.io/song/3787-funk-game-loop
http://creativecommons.org/licenses/by/4.0/

  continue reading

58 bölüm

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