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Innhold levert av Bilal Hafeez. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bilal Hafeez eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Ep. 198: Chris Rauh on How to Use AI to Predict Conflicts

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Manage episode 394953520 series 2640191
Innhold levert av Bilal Hafeez. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bilal Hafeez eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Chris Rauh is a Professor of Economics and Data Science at the University of Cambridge. He works with complex datasets and applied methodologies, including machine learning and structural modelling. He co-founded conflictforecast.org and has conducted projects for Britain’s Foreign, Commonwealth and Development Office, the German Foreign Office, and the IMF. He’s also listed amongst the top 1% of Economists in terms of research output in the last ten years. This episode's podcast covers: the hard problem of predicting conflicts, defining conflicts: wars, civil wars, terrorism, whether the theory of conflict match reality, and much more.

Follow us here for more amazing insights:

https://macrohive.com/home-prime/

https://twitter.com/Macro_Hive

https://www.linkedin.com/company/macro-hive

  continue reading

237 episoder

Artwork
iconDel
 
Manage episode 394953520 series 2640191
Innhold levert av Bilal Hafeez. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bilal Hafeez eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Chris Rauh is a Professor of Economics and Data Science at the University of Cambridge. He works with complex datasets and applied methodologies, including machine learning and structural modelling. He co-founded conflictforecast.org and has conducted projects for Britain’s Foreign, Commonwealth and Development Office, the German Foreign Office, and the IMF. He’s also listed amongst the top 1% of Economists in terms of research output in the last ten years. This episode's podcast covers: the hard problem of predicting conflicts, defining conflicts: wars, civil wars, terrorism, whether the theory of conflict match reality, and much more.

Follow us here for more amazing insights:

https://macrohive.com/home-prime/

https://twitter.com/Macro_Hive

https://www.linkedin.com/company/macro-hive

  continue reading

237 episoder

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