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Bridging the Interdisciplinary Gap with Stats & Data Science - with Prof Galit Shmueli
Manage episode 490831995 series 2686938
Content provided by ACEMS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACEMS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
The Random Sample steps into the dynamic world of interdisciplinary research—viewed through the lens of data science and statistics. Our guest is a true leader in collaborative science: Professor Galit Shmueli.
Galit is the Tsing Hua Chair Professor at the Institute of Service Science at National Tsing Hua University in Taiwan, the inaugural editor-in-chief of the INFORMS Journal on Data Science, and a Fellow of the Institute of Mathematical Statistics.
In this episode, she shares her insights on building meaningful connections across disciplines — and reflects on the role of artificial intelligence and large language models in shaping the future of research.
Our host is Cynthia Huang.
Episode webpage: https://www.therandomsample.com.au/podcast/interdisciplinar…ch-galit-shmueli/
See omnystudio.com/listener for privacy information.
100 episodes
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Manage episode 490831995 series 2686938
Content provided by ACEMS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACEMS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
The Random Sample steps into the dynamic world of interdisciplinary research—viewed through the lens of data science and statistics. Our guest is a true leader in collaborative science: Professor Galit Shmueli.
Galit is the Tsing Hua Chair Professor at the Institute of Service Science at National Tsing Hua University in Taiwan, the inaugural editor-in-chief of the INFORMS Journal on Data Science, and a Fellow of the Institute of Mathematical Statistics.
In this episode, she shares her insights on building meaningful connections across disciplines — and reflects on the role of artificial intelligence and large language models in shaping the future of research.
Our host is Cynthia Huang.
Episode webpage: https://www.therandomsample.com.au/podcast/interdisciplinar…ch-galit-shmueli/
See omnystudio.com/listener for privacy information.
100 episodes
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