Too Lazy to Read the Paper

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

June 07, 2021 Sune Lehmann Season 1 Episode 9
Too Lazy to Read the Paper
Too Lazy to Read the Paper: Episode 9 with Marta Sales-Pardo and Roger Guimera
Chapters
Too Lazy to Read the Paper
Too Lazy to Read the Paper: Episode 9 with Marta Sales-Pardo and Roger Guimera
Jun 07, 2021 Season 1 Episode 9
Sune Lehmann

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.

Show Notes

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.