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Best Joshua Gans Interviews on Podcasts or Audio about Joshua

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Vurbl People Audio Intro Listen to this compilation of insightful interviews, quotes, commentary, news, and more surrounding some of the most well-known public figures. You can also use Vurbl's snippet tool to clip and share your favorite moments with friends, family, and audio creators.
The Economics of the COVID-19 Pandemic feat. Joshua Gans Stanford health economics professor Jay Bhattacharya has said that the coronavirus is one of the biggest failures of the economics profession. And whether or not that’s an exaggeration, it’s true many economics have stayed quiet throughout the course of this virus. But not Joshua Gans.Joshua Gans is a Professor of Strategic Management and holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the Rotman School of Management at the University of Toronto (with a cross-appointment in the Department of Economics). He is also Chief Economist of the University of Toronto's Creative Destruction Lab.Listen as we dive into all things pandemic today: COVID-19 as a disease vs a function of behavior, gauging risk, privacy laws, and the range of COVID testing options. “Epidemiology in many respects is closer to a social science than it is to a natural science.”Episode Quotes:On pandemic research within Economics:"Economists had looked at infectious diseases, most notably AIDS. There was some work done, but it was, to say it was a fringe would be almost an understatement. There was no work done on if we have a global pandemic, what is the optimal macroeconomic response? There was nothing there."On creating public policy during a pandemic:"Here's where it gets frustrating. Here are the scientists doing their business, coming up with various studies and, you know, critical facts. But at the same time, they've got to take that and it's got to go all the way to public policy. And in between, there is this lump of stuff they don't know about: social science. And so they make guesses."On the fundamental information problem of pandemics:"It took me a little while to come around to realize that this calamity was more solvable than people were saying. And it wasn't going to require necessarily vaccine and other things like that. If we could just get our head around it. But that turned out to be a non-obvious view to a lot of people. And it certainly wasn't the way in which health people that I was speaking to had talked about it. So it was more a uniquely economic strategy type approach. What is the fundamental problem here? And can we solve that?"Show Links:Joshua Gans WebsiteJoshua Gans Substack: Plugging The GapOrder Book:The Pandemic Information SolutionOrder Book:The Pandemic Information GapOrder Book: Prediction MachinesOrder Book: The Disruption Dilemma
Dr. Joshua Gans on the Economics of COVID-19 Dr. Joshua Gans is one of the world's experts on economics and COVID-19. He has a newsletter, Plugging the Gap, where he discusses all things COVID-19 and economics, and has written two books on the pandemic DURING the pandemic. We had a wonderful chat, covering the following topics: &nbsp;-Messaging fails and successes by experts -COVID as a pandemic vs. end-demic &nbsp;-Lessons learned (or NOT learned) from the Spanish Flu -Making predictions with little to no facts -Can economics help you parent? &nbsp;We covered a lifetime of pertinent, interesting information in less than thirty minutes! Please subscribe and let me know what you thought in the comments. Also, I am now accepting tips on my Anchor page. If you enjoyed the content and want continued fantastic guests, tech upgrades, etc, please feel free to contribute. &nbsp;Dr. Joshua Gans can be found at www.joshuagans.com. I highly recommend his newsletter, Plugging the Gap.

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Joshua Gans, Martin Ford & Carl Benedikt Frey - Socioeconomics of Disruptive Tech - #006 The sixth interview of the series features Martin Ford (Futurist and Author), Carl Benedikt Frey (University of Oxford), &amp; Joshua Gans (University of Toronto, Toronto), who will discuss how technological progress has historically and is currently affecting our economy, especially focusing on the labour-market. Will this be different for the currently disruptive technologies, especially AI and robotics, and if so, how? How should we interpret predictions about future progress in AI, such as when we’ll have self-driving cars? What can we learn about history and models from how AI and robotics will change our economy and labour-market? What should we change in our economics education related to this topic?
This interview was recorded on 10th of September 2020. All dates referring to “next year” refer to 2021.
Joshua Gans, Richard Holden and Judith Sloan: Bringing back the economy For Australians, the end of the Covid-19 lockdown is in sight, and a return to some semblance of normalcy is on the horizon. As our focus shifts from the virus and its immediate impact to social recovery, the economy will take centre stage. The government has a once in a lifetime opportunity to rebuild our economy, and they are not short of advice.

Which direction will they choose? Is it time for ambitious market reforms, or to maintain the social safety net that has won them so many new fans? Is there a chance of a fairer nation, or are we looking down the barrel of post-pandemic austerity?

Join a panel of our most interesting economists and commentators, Joshua Gans, Richard Holden, Judith Sloan and Jennifer Hewett (chair) to tackle the big questions we need to answer if we are to make the best economic recovery that we can.
#15 - What does AI mean for my business? Guest Joshua Gans Special guest Joshua Gans, economist and co-author of, Prediction Machines.

When AI is framed as cheap prediction, its extraordinary potential becomes clear:

Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions.

Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete.
#32 - Economics in the Age of COVID-19: Guest Joshua Gans Special guest and economist, Joshua Gans joins the podcast to discuss his new book, Economics in the Age of COVID-19.

In the book, Joshua Gans steps back from the short-term chaos to take a clear and systematic look at how economic choices are being made in response to COVID-19. He shows that containing the virus and pausing the economy—without letting businesses fail and people lose their jobs—are the necessary first steps and furthermore outlines the phases of the pandemic economy, from containment to reset to recovery and enhancement. Gans lays out the economic choices accessibly but with urgency, leaving politics out of it. Economics in the Age of COVID-19 is essential reading for anyone interested in the long-term implications of our current crisis.

The book can be found on Amazon at: https://www.amazon.com/Economics-COVID-19-Press-First-Reads-ebook/dp/B087FYT4PR/ref=sr_1_1?dchild=1&keywords=Joshua+gans&qid=1588114187&sr=8-1
Prediction Machines meet Judgment - Joshua Gans / Global Brains #5 In episode 5 we talk to Joshua Gans, who is a Professor of Strategic Management and holder of the Chair of Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto. He is also the Chief Economist of the Creative Destruction Lab.

Joshua has written various books ranging from general economics, the disruption dilemma to applying principals from economics to parenting. In today's episode, we talk about his latest book, "Prediction Machines: The Simple Economics of Artificial Intelligence", which explains what AI means for businesses, policy-makers, and society in general.
Creating a future that is more Star Trek than Terminator - Joshua Gans In this episode of #AmeerApproved I sit down with Joshua Gans to talk about his new book INNOVATION + EQUALITY. All innovation entails uncertainty; there's no way to predict which new technologies will catch on. Therefore, rather than betting on the future of particular professions, we should consider policies that embrace uncertainty and protect people from unfavorable outcomes. To this end, they suggest policies that promote both innovation and equality. If we encourage innovation in the right way, our future can look more like the cheerful techno-utopia of Star Trek than the dark techno-dystopia of The Terminator. Get access to all my weekly content, episodes, live events, and business-related updates http://tiny.cc/3p9mcz Listen on Itunes http://tiny.cc/fwtvcz Sticher http://tiny.cc/so9mcz Google Podcast http://tiny.cc/dekncz Spotify http://tiny.cc/fxtvcz Guest: https://www.joshuagans.com/innovation-equality Joshua Gans is a Professor of Strategic Management and holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto (with a cross appointment in the Department of Economics). Joshua is also Chief Economist of the University of Toronto's Creative Destruction Lab. Prior to 2011, he was the foundation Professor of Management (Information Economics) at the Melbourne Business School, University of Melbourne and prior to that he was at the School of Economics, University of New South Wales. In 2011, Joshua was a visiting researcher at Microsoft Research (New England). Joshua holds a Ph.D. from Stanford University and an honors degree in economics from the University of Queensland. In 2012, Joshua was appointed as a Research Associate of the NBER in the Productivity, Innovation and Entrepreneurship Program. At Rotman, he teaches MBA students entrepreneurial strategy. He has also co-authored (with Stephen King and Robin Stonecash) the Australasian edition of Greg Mankiw's Principles of Economics (published by Cengage), Core Economics for Managers (Cengage), Finishing the Job (MUP), Parentonomics (New South/MIT Press) and Information Wants to be Shared (Harvard Business Review Press) and The Disruption Dilemma (MIT Press, 2016); Scholarly Publishing and its Discontents (2017) and Prediction Machines: The Simple Economics of Artificial Intelligence (HBR Press, 2018). His most recent book is Innovation + Equality (MIT Press, 2019). In 2007, Joshua was awarded the Economic Society of Australia’s Young Economist Award. In 2008, Joshua was elected as a Fellow of the Academy of Social Sciences, Australia. Details of his research activities can be found here. In 2011, Joshua (along with Fiona Murray of MIT) received a grant for almost $1 million from the Sloan Foundation to explore the Economics of Knowledge Contribution and Distribution. In 2017, Joshua won the Roger Martin Award for Research Excellence at the Rotman School of Management. In 2019, Joshua was awarded the PURC Distinguished Service Award from the Public Utility Research Center at the University of Florida for his contributions to regulatory economics. On the consulting side, Joshua is managing director of Core Economic Research and an Academic Associate with The Brattle Group. In the past, Joshua has worked with several established consulting firms including London Economics, Frontier Economics and Charles River Associates. He has also been retained by the Australian Competition and Consumer Commission and the Federal Trade Commission where he worked on expert testimony in several abuse of market power cases as well as on issues in telecommunications network competition. Overall his consulting experience covers energy (gas and electricity markets), telecommunications, financial services and banking, pharmaceuticals and rail transport.   Blog http://www.Ameerrosic.com Twitter http://www.Twitter.com/ameerrosic Instagram http://www.Instagram.com/ameerrosic   #JoshuaGans
Joshua Gans on Prediction Machines How are we supposed to think about Machine Learning? How are businesses going to change? This week I interview Joshua Gans, Professor of Strategic Management at the Rotman School of Business at the University of Toronto and the Chief Economist at the University's Creative Destruction Lab. Joshua is the co-author, along with Ajay Agarwal and Avi Goldfarb, of Prediction Machines: The Simple Economics of Artificial Intelligence.

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