Part 2 in a 3-part series on China looking at the spread of COVID-19 from Wuhan to the rest of the world.  In Part 2 – what can big data reveal about the spread of COVID-19 around the world?  Newt’s guest is Dr. Kamran Khan.

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Part 2 in a 3-part series on China looking at the spread of COVID-19 from Wuhan to the rest of the world.  In Part 2 – what can big data reveal about the spread of COVID-19 around the world?  Newt’s guest is Dr. Kamran Khan. Learn more about your ad-choices at <a href="https://www.iheartpodcastnetwork.com">https://www.iheartpodcastnetwork.com</a>

Join former House Speaker, professor, historian, and futurist Newt Gingrich as he shares his lifetime of knowledge and access to the world’s most interesting minds in a new series that covers all aspects of our society. From history to health, national security to science, Newt offers stories, conversations, and context to uncover new perspectives, knowledge and insight. This podcast isn’t about politics; it’s about exploring the past, present, and future to understand where we’ve been and where we’re going. Welcome to Newt’s World, a podcast for independent thinkers.

Newt's World

China and COVID-19 Part 2: Tracking the Virus Spread

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/50829940-fabb-4048-8102-ae28001c2abc/transcript

Newt talks with Professor Ajay Agrawal, a key player in the world of Artificial Intelligence and author of Power and Prediction: The Disruptive Economics of Artificial Intelligence. Agrawal discusses the rapid evolution of AI, highlighting the significant advancements made in the last decade. He explains that AI's core function is to improve prediction, but it also requires human clarity for value judgments within those predictions. Agrawal also discusses the potential for AI to dramatically increase productivity and trigger a large reallocation of capital. He predicts that AI will force society to be more explicit about value judgments and trade-offs, leading to increased transparency.

Newt talks with Professor Ajay Agrawal, a key player in the world of Artificial Intelligence and author of Power and Prediction: The Disruptive Economics of Artificial Intelligence. Agrawal discusses the rapid evolution of AI, highlighting the significant advancements made in the last decade. He explains that AI's core function is to improve prediction, but it also requires human clarity for value judgments within those predictions. Agrawal also discusses the potential for AI to dramatically increase productivity and trigger a large reallocation of capital. He predicts that AI will force society to be more explicit about value judgments and trade-offs, leading to increased transparency.

Episode 691: The Power of A.I. – An Overview

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/00dad15f-e017-4683-98e8-b163014e8149/transcript

Newt talks with Les Leopold about his new book, "Wall Street's War on Workers". He explains how corporations in the U.S. have used mass layoffs and stock buybacks to enrich shareholders at the expense of employees. Leopold argues that these practices have contributed to the decline in support for the Democratic Party among urban and rural workers. He suggests that the party has failed to address the issue of mass layoffs and has instead supported policies that have led to job instability. Leopold proposes solutions such as limiting stock buybacks to 2% and preventing companies with government contracts from laying off workers.

Newt talks with Les Leopold about his new book, "Wall Street's War on Workers". He explains how corporations in the U.S. have used mass layoffs and stock buybacks to enrich shareholders at the expense of employees. Leopold argues that these practices have contributed to the decline in support for the Democratic Party among urban and rural workers. He suggests that the party has failed to address the issue of mass layoffs and has instead supported policies that have led to job instability. Leopold proposes solutions such as limiting stock buybacks to 2% and preventing companies with government contracts from laying off workers.

Episode 690: Wall Street’s War on Workers

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/7232f039-e0e5-4dc2-bcc5-b15e017759a8/transcript

Newt talks with bestselling author Timothy Carney about his new book, "Family Unfriendly: How Our Culture Made Raising Kids Much Harder Than It Needs To Be". Carney argues that modern American parenting standards are unrealistic and contribute to record rates of anxiety, depression, and loneliness in children. He criticizes the culture of over-parenting and suggests that it's time to end this failed experiment. Carney also discusses the impact of technology, the fear of crime, and the pressure to succeed on parenting. He highlights the declining birth rates in the U.S. and globally, attributing it to factors such as career-focused lifestyles, housing costs, and a shift in cultural values. Carney suggests that policy changes, particularly in housing, could help support families and reverse the trend of declining birth rates.

Newt talks with bestselling author Timothy Carney about his new book, "Family Unfriendly: How Our Culture Made Raising Kids Much Harder Than It Needs To Be". Carney argues that modern American parenting standards are unrealistic and contribute to record rates of anxiety, depression, and loneliness in children. He criticizes the culture of over-parenting and suggests that it's time to end this failed experiment. Carney also discusses the impact of technology, the fear of crime, and the pressure to succeed on parenting. He highlights the declining birth rates in the U.S. and globally, attributing it to factors such as career-focused lifestyles, housing costs, and a shift in cultural values. Carney suggests that policy changes, particularly in housing, could help support families and reverse the trend of declining birth rates.

Episode 689: Family Unfriendly

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/a65e0136-f24c-4f18-9114-b15e017722cc/transcript

China and COVID-19 Part 2: Tracking the Virus Spread

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