Data Analysis for Pandemics feat. Emmanuel Letouzé

Making Data Simple

IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

5+ y ago 36:01

MP3•에피소드 홈

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

This week on Making Data Simple, our guest is Emmanuel Letouzé, PhD, Director and Co-Founder of Data-Pop Alliance. Emmanuel comes from an extensive academic background, specializing in subjects such as data science, political science, economics and demography. He speaks about key takeaways he's had from his research, applying the knowledge to new projects and issues, including the recent pandemic of COVID-19.

Connect with Emmanuel

Datapopalliance.org

Twitter

Art

Manu Cartoons Twitter

Show Notes

03:37 - Get some answers to your questions on social distancing in this NYTimes article here.

16:19 - Learn more on demography here.

20:31 - AI can now make predictions on demography on only knowing your name. Find out more here.

Connect with the Team

Producer Liam Seston - LinkedIn.

Producer Lana Cosic - LinkedIn.

Producer Meighann Helene - LinkedIn.

Producer Mark Simmonds - LinkedIn.

Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

365 에피소드