Artwork

Conteúdo fornecido por Sune Lehmann. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sune Lehmann ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Player FM - Aplicativo de podcast
Fique off-line com o app Player FM !

Too Lazy to Read the Paper: Episode 9 with Marta Sales-Pardo and Roger Guimera

1:17:36
 
Compartilhar
 

Manage episode 335225956 series 3374241
Conteúdo fornecido por Sune Lehmann. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sune Lehmann ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Today on the pod is Marta Sales-Pardo & Roger Guimera.
What a great talk. We could have gone on for hours. Peer review, power-laws, becoming scientists, Bayesian statistics, and much, much more.
Marta and Roger study fundamental problems in all areas of science including natural, social and economic sciences. They have expertise in a broad set of tools from statistical physics, network science, statistics and computer science.
Both were many years at Northwestern before starting a group at URV in Catalonia. They are authors of many classic papers in Network Science, lots of important work, e.g. on community detection.
We talk about their paper “A Bayesian machine scientist to aid in the solution of challenging scientific problems” (1).
# Timestamps
[0:00:00] Sune’s Intro
[0:01:08] Origin story and (much) more
[0:44:42] We slowly get to the paper
# References
(1) https://advances.sciencemag.org/content/6/5/eaav6971
# Credits
The podcast has theme music by Waylon Thornton (and a little bit by me as well). WT's songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation.

  continue reading

20 episódios

Artwork
iconCompartilhar
 
Manage episode 335225956 series 3374241
Conteúdo fornecido por Sune Lehmann. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sune Lehmann ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Today on the pod is Marta Sales-Pardo & Roger Guimera.
What a great talk. We could have gone on for hours. Peer review, power-laws, becoming scientists, Bayesian statistics, and much, much more.
Marta and Roger study fundamental problems in all areas of science including natural, social and economic sciences. They have expertise in a broad set of tools from statistical physics, network science, statistics and computer science.
Both were many years at Northwestern before starting a group at URV in Catalonia. They are authors of many classic papers in Network Science, lots of important work, e.g. on community detection.
We talk about their paper “A Bayesian machine scientist to aid in the solution of challenging scientific problems” (1).
# Timestamps
[0:00:00] Sune’s Intro
[0:01:08] Origin story and (much) more
[0:44:42] We slowly get to the paper
# References
(1) https://advances.sciencemag.org/content/6/5/eaav6971
# Credits
The podcast has theme music by Waylon Thornton (and a little bit by me as well). WT's songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation.

  continue reading

20 episódios

Todos os episódios

×
 
Loading …

Bem vindo ao Player FM!

O Player FM procura na web por podcasts de alta qualidade para você curtir agora mesmo. É o melhor app de podcast e funciona no Android, iPhone e web. Inscreva-se para sincronizar as assinaturas entre os dispositivos.

 

Guia rápido de referências