Podcasts about Kenneth Cukier

Our Spring Town Hall brought together two of AI&F's Advisors: Jon Palmer, the General Counsel of Microsoft, in conversation with Kenneth Cukier, the deputy executive editor of The Economist. They discussed the intersections of religion, ethics, law, and policy on business and society. What have been the influences (both positive and negative) that religion has had on US law, legal ethics and the legal profession? How has this influenced Jon's professional life, and the role of Christian doctrine in the way he views ethics, practices law, and sees his role as a lawyer? What are the challenges and opportunities that AI presents in these contexts and the need for AI to develop in a way that aligns with ethical considerations? Their diverse backgrounds made an especially interesting conversation: Jon is the son of a prominent Presbyterian pastor; Kenn's father fled the Holocaust and took him to Quaker meetings as a child.Views and opinions expressed by podcast guests are their own and do not necessarily reflect the view of AI and Faith or any of its leadership.Production: Pablo Salmones and Penny YuenSpeakers: Kenneth Cukier and Jon PalmerEditing: Isabelle BraconnotMusic from #UppbeatLicense code: 1ZHLF7FMCNHU39

Few people have a better perch to observe technological change than Kenneth Cukier, deputy executive editor at The Economist and co-author of the best-selling book Big Data. I caught up with Cukier at DLD this year to get his take on the last twenty years of technology disruption. He began by remembering how, in 2005, tech giants like Google and Facebook were viewed simply as successful startups, not as the foundational platforms they would become. Cukier explores the emergence of Big Data, which he identifies as a crucial development that laid the groundwork for artificial intelligence. He notes two major surprises over this period: the unprecedented speed of technological change and the increasing level of social violence and incivility, particularly online. He expresses concern about the deterioration of civil discourse and human dignity in digital spaces. On artificial intelligence, Cukier argues that generative AI was a natural evolution from the big data era, though he's hesitant to call it inevitable. Looking ahead to 2045, he dismisses the possibility of achieving artificial general intelligence (AGI), suggesting this framework misunderstands the nature of machine intelligence. Cukier concluded our conversation with the counter-intuitive prediction that government will become more credible but smaller by 2045, returning power to communities and individuals.Kenneth Cukier is deputy executive editor, following two decades at the paper as a foreign correspondent, technology writer, data editor and commentary editor. He is the coauthor of the NYT bestselling book “Big Data” with Viktor Mayer-Schönberger, which was translated into over 20 languages, and “Framers” on AI and mental models, with Viktor and Francis de Véricourt. Previously Kenn was the technology editor of the Wall Street Journal Asia in Hong Kong and worked at the International Herald Tribune in Paris. He was a research fellow at Harvard's Kennedy School of Government in 2002-04 and an associate fellow at Oxford's Saïd Business School in 2018-23. Kenn previously served on the boards of directors of International Bridges to Justice and Chatham House. He is a member of the Council on Foreign Relations.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

AI is changing the face of war. Autonomous weapons, facial recognition technologies and industrial-scale disinformation systems are already being deployed in the Middle East and Ukraine. As countries race to harness AI's military potential, we are faced with profound moral dilemmas and tough regulatory questions about the place of AI in modern conflict. Recorded live at Web Summit in Lisbon, host Adam McCauley is joined by Agnès Callamard, Secretary General of Amnesty International, and Kenneth Cukier, Deputy Executive Editor at the Economist, to discuss how AI is shaping global warfare in the 21st century.  If you'd like to become a Member and get access to all our full conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. https://www.intelligencesquared.com/newsletter-signup/ Learn more about your ad choices. Visit podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices

EPISODE 1929: In this DLD special recorded in Munich, Andrew talks to Kenneth Cukier, co-author of BIG DATA, about AI, spirituality and the new humanism in our digital ageKenneth Cukier is the Deputy Executive Editor at The Economist in London and cohost of its weekly tech podcast Babbage. He is coauthor of the award-winning book “Big Data" with Viktor Mayer-Schönberger, a NYT Bestseller translated into over 20 languages. He is a regular commentator on BBC, CNN, and NPR, and a popular keynote speaker, from TED to Davos. In 2002-04, Cukier was a research fellow at Harvard's Kennedy School of Government. He is a board director of Chatham House, a fellow at Oxford's Saïd Business School and a member of the Council on Foreign Relations. His latest book is "Framers" on the power of mental models and the limits of AI.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.

Books are the original medium for communicating science to the masses. In a holiday special, producer Kunal Patel asks Babbage's family of correspondents about the books that have inspired them in their careers as science journalists.Host: Alok Jha, The Economist's science and technology editor. Contributors: Rachel Dobbs, The Economist's climate correspondent; Kenneth Cukier, our deputy executive editor; The Economist's Emilie Steinmark; Geoff Carr, our senior editor for science and technology; and Abby Bertics, The Economist's science correspondent. Reading list: “The Periodic Table” by Primo Levi; “When We Cease to Understand the World” by Benjamín Labatut; “A Theory of Everyone” by Michael Muthukrishna; “Madame Curie” by Ève Curie; “Sociobiology” by E. O. Wilson; “The Selfish Gene” by Richard Dawkins; “Why Fish Don't Exist” by Lulu Miller; and “How Far the Light Reaches” by Sabrina Imbler.Sign up for a free trial of Economist Podcasts+. If you're already a subscriber to The Economist, you'll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

Books are the original medium for communicating science to the masses. In a holiday special, producer Kunal Patel asks Babbage's family of correspondents about the books that have inspired them in their careers as science journalists.Host: Alok Jha, The Economist's science and technology editor. Contributors: Rachel Dobbs, The Economist's climate correspondent; Kenneth Cukier, our deputy executive editor; The Economist's Emilie Steinmark; Geoff Carr, our senior editor for science and technology; and Abby Bertics, The Economist's science correspondent. Reading list: “The Periodic Table” by Primo Levi; “When We Cease to Understand the World” by Benjamín Labatut; “A Theory of Everyone” by Michael Muthukrishna; “Madame Curie” by Ève Curie; “Sociobiology” by E. O. Wilson; “The Selfish Gene” by Richard Dawkins; “Why Fish Don't Exist” by Lulu Miller; and “How Far the Light Reaches” by Sabrina Imbler.Sign up for a free trial of Economist Podcasts+. If you're already a subscriber to The Economist, you'll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

EPISODE 1862: In this KEEN ON show, Andrew talks to Vickor Mayer-Schonberger, author of the upcoming GUARDRAILS, about the need to regulate big data companies like OpenAIViktor Mayer-Schönberger is the Professor of Internet Governance and Regulation at Oxford. His research focuses on the role of information in a networked economy. Earlier he spent ten years on the faculty of Harvard's Kennedy School of Government. He has published eleven books, including the international bestseller “Big Data” (HMH, co-authored with Kenneth Cukier, translated into more than 20 languages), “Learning with Big Data” (HMH, co-authored with Kenneth Cukier) and the awards-winning “Delete: The Virtue of Forgetting in the Digital Age” with Princeton University Press (also available in multiple languages). He is the author of over a hundred articles and book chapters on the economics and governance of information. After successes in the International Physics Olympics and the Austrian Young Programmers Contest, Mayer-Schönberger studied in Salzburg, Harvard and at the London School of Economics. In 1986 he founded Ikarus Software, a company focusing on data security and developed the Virus Utilities, which became the best-selling Austrian software product. He was voted Top-5 Software Entrepreneur in Austria in 1991 and Person of the Year for the State of Salzburg in 2000. He has chaired the Rueschlikon Conference on Information Policy in the New Economy, bringing together leading strategists and decision-makers of the new economy. In 2014 he received a World Technology Award in the law category for his work. He is a frequent public speaker, and sought expert for print and broadcast media worldwide. He and his work have been featured in (among others) New York Times, Wall Street Journal, Financial Times, The Economist, Nature, Science, NPR, BBC, The Guardian, Le Monde, El Pais, Die Zeit, Der Spiegel, WIRED, Ars Technica, and Daily Kos. He is also on the boards of foundations, think tanks and organizations focused on studying the information economy, and advises governments, businesses and NGOs on new economy and information society issues. In his spare time, he likes to travel, go to the movies, and learn about architecture.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.

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Natural history auctions are on the rise and are generating millions of dollars for private fossil hunters, but the commercialisation of ancient bones is worrying some palaeontologists. They argue that specimens sold privately are lost to science. Yet others say that by disincentivising the black market and encouraging more enthusiasts to search for rare finds, fossil auctions could improve the scientific understanding of ancient reptiles. The Economist's Dylan Barry explores the Natural History Museum's fossil collection in London, with Paul Barrett, a paleontologist. Dylan also chats to the “dinosaur cowboy”, Clayton Phipps, a commercial fossil prospector, about his discovery of the “duelling dinosaurs” and how ranchers benefit from finding dinosaur bones. Plus, Cassandra Hatton, the vice president and head of natural history of Sotheby's, an auction house, argues that auctioneers and palaeontologists should see each other as being on the same side. Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. Hosted on Acast. See acast.com/privacy for more information.

Natural history auctions are on the rise and are generating millions of dollars for private fossil hunters, but the commercialisation of ancient bones is worrying some palaeontologists. They argue that specimens sold privately are lost to science. Yet others say that by disincentivising the black market and encouraging more enthusiasts to search for rare finds, fossil auctions could improve the scientific understanding of ancient reptiles. The Economist's Dylan Barry explores the Natural History Museum's fossil collection in London, with Paul Barrett, a palaeontologist. Dylan also chats to the “dinosaur cowboy”, Clayton Phipps, a commercial fossil prospector, about his discovery of the “duelling dinosaurs” and how ranchers benefit from finding dinosaur bones. Plus, Cassandra Hatton, the vice president and head of natural history of Sotheby's, an auction house, argues that auctioneers and palaeontologists should see each other as being on the same side. Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. Hosted on Acast. See acast.com/privacy for more information.

Recent years have seen a boom in biometric security systems—identification measures based on a person's individual biology—from unlocking smartphones, to automating border controls. As this technology becomes more prevalent, some cybersecurity researchers are worried about how secure biometric data is—and the risk of spoofs. If generative AI becomes so powerful and easy-to-use that deepfake audio and video could hack into our security systems, what can be done? Bruce Schneier, a security technologist at Harvard University and the author of “A Hacker's Mind”, explores the cybersecurity risks associated with biometrics, and Matthias Marx, a security researcher, discusses the consequences of bad actors obtaining personal data. If artificial intelligence could overcome security systems, human implants may be used as authentication, according to Katina Michael, a professor at Arizona State University. Plus, Joseph Lindley, a design academic at Lancaster University, proposes how security systems can be better designed to avoid vulnerabilities. To think about practical solutions, Scott Shapiro, professor at Yale Law School and author of “Fancy Bear Goes Phishing”, puts generative AI into the wider context of cybersecurity. Finally, Tim Cross, The Economist's deputy science editor, weighs up the real-world implications of our thought experiment. Kenneth Cukier hosts.Learn more about detecting deepfakes at economist.com/detecting-deepfakes-pod, or listen to all of our generative AI coverage at economist.com/AI-pods.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. Hosted on Acast. See acast.com/privacy for more information.

Recent years have seen a boom in biometric security systems—identification measures based on a person's individual biology—from unlocking smartphones, to automating border controls. As this technology becomes more prevalent, some cybersecurity researchers are worried about how secure biometric data is—and the risk of spoofs. If generative AI becomes so powerful and easy-to-use that deepfake audio and video could hack into our security systems, what can be done? Bruce Schneier, a security technologist at Harvard University and the author of “A Hacker's Mind”, explores the cybersecurity risks associated with biometrics, and Matthias Marx, a security researcher, discusses the consequences of bad actors obtaining personal data. If artificial intelligence could overcome security systems, human implants may be used as authentication, according to Katina Michael, a professor at Arizona State University. Plus, Joseph Lindley, a design academic at Lancaster University, proposes how security systems can be better designed to avoid vulnerabilities. To think about practical solutions, Scott Shapiro, professor at Yale Law School and author of “Fancy Bear Goes Phishing”, puts generative AI into the wider context of cybersecurity. Finally, Tim Cross, The Economist's deputy science editor, weighs up the real-world implications of our thought experiment. Kenneth Cukier hosts.Learn more about detecting deepfakes at economist.com/detecting-deepfakes-pod, or listen to all of our generative AI coverage at economist.com/AI-pods.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. Hosted on Acast. See acast.com/privacy for more information.

Organizations often fail to consider the context in which customers enter the experience, assuming that every customer is the same. However, recognizing the context of a customer's experience is crucial to developing an effective customer strategy. Context is an omnipresent factor in customer experience. Depending on a customer's context, we must create a customized experience.  For instance, while working on a project for one of the cellular phone companies in the United States, we discovered that they treated customers who had lost their phone or had it stolen in the same manner. This oversight neglected the importance of context. Consider how you would feel if you had lost your phone in the back of a taxi. Most likely, you would feel foolish, right? Now, consider how you would feel if your phone was stolen. You might feel outraged, or scared, or both, which are different emotional responses than how you might feel after leaving your phone in a cab. Despite this, the mobile company treated both types of customers in the same way. They immediately requested the account number from both. However, we convinced them to determine what happened first, followed by ensuring the customer's safety if their phone was stolen. This simple change had an enormous impact on their experience design and outcomes. Thus, segmentation is a vital aspect of anticipating context. People bring unique perspectives and expectations to their experience. While segmentation is only one factor that can determine context, it is an excellent starting point. In this episode, we explore why context is crucial to customer experience design and how you can improve your understanding of your customer's context. Here are some other key moments in the discussion: 03:10.  We discuss how Kenneth Cukier's TED talk about “Big Data is Better Data” and how having data isn't enough to predict how people will interpret it.  07:12 Colin tests his theories with Ryan, who has his own context, which is always a fun activity. 10:20 Ryan shares an interesting demonstration of different contexts clashing in a researchers work with an isolated tribe in the Pacific. 14:20  Colin shares his recent insight about diversity, which he describes as a “blinding flash of the bloody obvious.” 18:09  We get into a discussion about changing a person's context gracefully and the skills needed here.  27:48 We share our advice for helping organizations improve their experience understanding and using context in experience design. _________________________________________________________________ Did you know we have a YouTube Channel too? Check it out here. Connect with Colin on LinkedIn HERE. Follow Colin on Twitter HERE. Click HERE to learn more about Professor Ryan Hamilton of Emory University.  To learn more about Beyond Philosophy's Suite of Services Click here.

Organizations often fail to consider the context in which customers enter the experience, assuming that every customer is the same. However, recognizing the context of a customer's experience is crucial to developing an effective customer strategy. Context is an omnipresent factor in customer experience. Depending on a customer's context, we must create a customized experience.  For instance, while working on a project for one of the cellular phone companies in the United States, we discovered that they treated customers who had lost their phone or had it stolen in the same manner. This oversight neglected the importance of context. Consider how you would feel if you had lost your phone in the back of a taxi. Most likely, you would feel foolish, right? Now, consider how you would feel if your phone was stolen. You might feel outraged, or scared, or both, which are different emotional responses than how you might feel after leaving your phone in a cab. Despite this, the mobile company treated both types of customers in the same way. They immediately requested the account number from both. However, we convinced them to determine what happened first, followed by ensuring the customer's safety if their phone was stolen. This simple change had an enormous impact on their experience design and outcomes. Thus, segmentation is a vital aspect of anticipating context. People bring unique perspectives and expectations to their experience. While segmentation is only one factor that can determine context, it is an excellent starting point. In this episode, we explore why context is crucial to customer experience design and how you can improve your understanding of your customer's context. Here are some other key moments in the discussion: 03:10.  We discuss how Kenneth Cukier's TED talk about “Big Data is Better Data” and how having data isn't enough to predict how people will interpret it.  07:12 Colin tests his theories with Ryan, who has his own context, which is always a fun activity. 10:20 Ryan shares an interesting demonstration of different contexts clashing in a researchers work with an isolated tribe in the Pacific. 14:20  Colin shares his recent insight about diversity, which he describes as a “blinding flash of the bloody obvious.” 18:09  We get into a discussion about changing a person's context gracefully and the skills needed here.  27:48 We share our advice for helping organizations improve their experience understanding and using context in experience design. _________________________________________________________________ Did you know we have a YouTube Channel too? Check it out here. Connect with Colin on LinkedIn HERE. Follow Colin on Twitter HERE. Click HERE to learn more about Professor Ryan Hamilton of Emory University.  To learn more about Beyond Philosophy's Suite of Services Click here.

Since the launch of OpenAI's ChatGPT almost six months ago, little else has occupied the minds of technologists. Generative artificial intelligence—capable of producing media like text, images and audio in response to prompts—seems to be improving every day, with many technology companies developing and releasing their own competing systems.As the AI revolution accelerates, the technology is being used in ever more creative ways, companies are discovering its potential, causing unease among many content-creators and white-collar professionals, whose jobs seem to be at risk. The story of automation changing the world of work is not a new one. But the speed, the visibility and the hype surrounding generative AI can seem alarming. How worrying is it?The Economist's Abby Bertics and Arjun Ramani explain how large language models work, the risk posed by the technology—and what to do about it. Callum Williams, our senior economics writer, ponders the potential for economic disruption as generative AI enters the workplace. Plus, Tom Standage, The Economist's deputy editor explores the question of regulating this emerging technology without hindering innovation. Kenneth Cukier hosts.Listen to all of our coverage of the artificial intelligence revolution at economist.com/AI-pods. If you love Babbage, why not work with us? We're hiring for an Assistant Audio Producer to work on the show. Apply by May 15th. Hosted on Acast. See acast.com/privacy for more information.

Since the launch of OpenAI's ChatGPT almost six months ago, little else has occupied the minds of technologists. Generative artificial intelligence—capable of producing media like text, images and audio in response to prompts—seems to be improving every day, with many technology companies developing and releasing their own competing systems.As the AI revolution accelerates, the technology is being used in ever more creative ways, companies are discovering its potential, causing unease among many content-creators and white-collar professionals, whose jobs seem to be at risk. The story of automation changing the world of work is not a new one. But the speed, the visibility and the hype surrounding generative AI can seem alarming. How worrying is it?The Economist's Abby Bertics and Arjun Ramani explain how large language models work, the risk posed by the technology—and what to do about it. Callum Williams, our senior economics writer, ponders the potential for economic disruption as generative AI enters the workplace. Plus, Tom Standage, The Economist's deputy editor explores the question of regulating this emerging technology without hindering innovation. Kenneth Cukier hosts.Listen to all of our coverage of the artificial intelligence revolution at economist.com/AI-pods. If you love Babbage, why not work with us? We're hiring for an Assistant Audio Producer to work on the show. Apply by May 15th. Hosted on Acast. See acast.com/privacy for more information.

Despite the impressive recent progress in AI capabilities, there are reasons why AI may be incapable of possessing a full "general intelligence". And although AI will continue to transform the workplace, some important jobs will remain outside the reach of AI. In other words, the Economic Singularity may not happen, and AGI may be impossible.These are views defended by our guest in this episode, Kenneth Cukier, the Deputy Executive Editor of The Economist newspaper.For the past decade, Kenn was the host of its weekly tech podcast Babbage. He is co-author of the 2013 book “Big Data", a New York Times best-seller that has been translated into over 20 languages. He is a regular commentator in the media, and a popular keynote speaker, from TED to the World Economic Forum.Kenn recently stepped down as a board director of Chatham House and a fellow at Oxford's Saïd Business School. He is a member of the Council on Foreign Relations. His latest book is "Framers", on the power of mental models and the limits of AI.Follow-up reading:http://www.cukier.com/https://mediadirectory.economist.com/people/kenneth-cukier/https://www.metaculus.com/questions/3479/date-weakly-general-ai-is-publicly-known/Kurzweil's version of the Turing Test: https://longbets.org/1/Topics addressed in this episode include:*) Changing attitudes at The Economist about how to report on the prospects for AI*) The dual roles of scepticism regarding claims made for technology*) 'Calum's rule' about technology forecasts that omit timing*) Options for magazine coverage of possible developments more than 10 years into the future*) Some leaders within AI research, including Sam Altman of OpenAI, think AGI could happen within a decade*) Metaculus community aggregate forecasts for the arrival of different forms of AGI*) A theme for 2023: the increased 'emergence' of unexpected new capabilities within AI large language models - especially when these models are combined with other AI functionality*) Different views on the usefulness of the Turing Test - a test of human idiocy rather than machine intelligence?*) The benchmark of "human-level general intelligence" may become as anachronistic as the benchmark of "horsepower" for rockets*) The drawbacks of viewing the world through a left-brained hyper-rational "scientistic" perspective*) Two ways the ancient Greeks said we could find truth: logos and mythos*) People in 2023 finding "mythical, spiritual significance" in their ChatGPT conversations*) Appropriate and inappropriate applause for what GPTs can do*) Another horse analogy: could steam engines that lack horse-like legs really replace horses?*) The Ship of Theseus argument that consciousness could be transferred from biology to silicon*) The "life force" and its apparently magical, spiritual aspects*) The human superpower to imaginatively reframe mental models*) People previously thought humans had a unique superpower to create soul-moving music, but a musical version of the Turing Test changed minds*) Different levels of creativity: not just playing games well but inventing new games*) How many people will have paid jobs in the future?*) Two final arguments why key human abilities will remain unique*) The "pragmatic turn" in AI: duplicating without understanding*) The special value, not of information, but of the absence of information (emptiness, kenosis, the "cloud of unknowing")*) The temptations of mimicry and idolatryMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

Is technology holding us back?Looking for a link we mentioned? It's here: https://linktr.ee/philosophyforourtimesFrom work to entertainment, communication to travel, technology has shaped every aspect of our lives. We think technological progress is relentless and inevitable. But Aldous Huxley argued "technological progress has merely provided us with more efficient means for going backwards".Should we give up the idea that technology is the way to make our lives better altogether? Or is technological progress the only way forward? In this exciting debate, Economist deputy editor Kenneth Cukier, historian Caitjan Gainty and nihilist philosopher Nolan Gertz put their dreams to the test. Jess Wade hosts.Kenneth Cukier is a renowned American journalist and coauthor of the NYT Bestselling book “Big Data”. Caitjan Gainty is an established historian of 20th century health and co-runs the Healthy Scepticism project, Nolan Gertz is a philosopher of applied ethics, and author of the cutting-edge book "Nihilism and Technology". Our host, Jess Wade, is a well-loved British physicist, researcher and advocate for women in STEM.There are thousands of big ideas to discover at IAI.tv – videos, articles, and courses waiting for you to explore. Find out more: https://iai.tv/podcast-offers?utm_source=podcast&utm_medium=shownotes&utm_campaign=the-dream-of-progressSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This is the second episode of a four part series of the soft skills we need to succeed in our squiggly career. This week Helen and Sarah take on the topic of critical thinking and review two books to learn more. Helen reads Framers by Francis de Véricourt, Kenneth Cukier, and Viktor Mayer-Schönberger and Sarah reads Harvard Business Review's brand new book THE HBR Guide to Critical Thinking.Together they share insights, ideas and actions to develop your approach to critical thinking at work.More ways to learn about Squiggly Careers:1. Download our Squiggly Careers PodBook: https://rb.gy/orb0n5 2. Sign-up for PodMail, a weekly summary of the latest squiggly career tools https://rb.gy/2xyo8i3. Read our books 'The Squiggly Career' and 'You Coach You' https://www.amazingif.com/books/If you have any questions or feedback (which we love!) you can email us at helenandsarah@squigglycareers.com Hosted on Acast. See acast.com/privacy for more information.

En el capítulo nº 50 «La partidocracia entre líneas» Álvaro Bañón, Fernando de las Heras, Pedro M. González, Gabriel Sánchez Corral y Juanjo Charro hacen un análisis crítico de la prensa española a partir de las siguientes noticias y artículos publicados a lo largo del año que se cierra. - ¡Qué escándalo! ¡Aquí se traiciona!. elpais.com 24 de febrero de 2022: https://elpais.com/opinion/2022-02-24/que-escandalo-aqui-se-traiciona.html - El feminismo caminará separado este 8-M por primera vez en la historia. elpais.com 7 de marzo de 2022: https://elpais.com/sociedad/2022-03-07/el-feminismo-caminara-separado-este-8-m-por-primera-vez-en-la-historia.html - La OCDE vuelve a rebajar el crecimiento de España y avisa de que la creación de empleo será nula. elmundo.es 22 de diciembre de 2022: https://www.elmundo.es/economia/macroeconomia/2022/11/22/637c9470fc6c8352218b45cb.html - La sanidad pública alcanzó en 2021 su máximo histórico de pacientes en lista de espera. elmundo.es 3 de mayo de 2022: https://www.elmundo.es/ciencia-y-salud/salud/2022/05/03/6270f567e4d4d88f1d8b45b9.html - La destrucción de la libertad. elpais.com 20 de abril de 2022: https://elpais.com/opinion/2022-04-20/la-destruccion-de-la-libertad.html - Una ley electoral que diluya la partidocracia. clublibertaddigital.com 14 de octubre de 2022: https://www.clublibertaddigital.com/ideas/tribuna/2022-10-14/pedro-fernandez-barbadillo-una-ley-electoral-que-diluya-la-partitocracia-6943174/ - Kenneth Cukier: “La próxima gran batalla de la era digital será la de la libertad política” elpais.com 10 de diciembre de 2022: https://elpais.com/tecnologia/2022-12-10/kenneth-cukier-la-proxima-gran-batalla-de-la-era-digital-sera-la-de-la-libertad-politica.html ---------- ¡APÓYANOS! - Vía iVoox: haz clic en APOYAR (botón de color azul). - Vía Paypal: https://www.paypal.com/donate?hosted_button_id=Y4WYL3BBYVVY4 - Vía Patreon: https://www.patreon.com/MCRC_es ------------ mcrc.es diariorc.com yonovoto.info

From pandemics, populism and climate change, AI and ISIS, inflation and growing tensions with China and Russia, we are faced with enormous challenges— some of which threaten our existence.In this episode we discuss how we are all influenced by our personal perspectives and prejudices— our frames— and how we can use mental models to see patterns, solve problems and go beyond a narrow lens of red vs. blue or "us" vs. "them."Our guests are Kenneth Cukier, deputy executive editor of "The Economist" and Francis de Véricourt, professor of management science at the European School of Management and Technology in Berlin. Both are co-authors of "Framers. Human Advantage in an Age of Technology and Turmoil." This innovative book shows how framing is not just a way to improve decision-making in an age of algorithms and machine learning, but also a matter for survival at a time of upheaval.Real-world examples of how framers changed the world include: The rapid rise of #MeToo, which went viral on Twitter after the actress Alyssa Milano tweeted a request to her followers: “If you've been sexually harassed or assaulted write ‘me too' as a reply to this tweet.” Successful, innovative responses to Covid-19 were made by the governments of New Zealand and Taiwan. Recently, the Federal Reserve was forced to change its inflation frame before beginning a series of interest rate hikes.In our interview we learn why the advice to "think outside the box" is useless, and how to understand the role of mental models in our own daily lives.Additional InformationHow Do We Fix It? PodcastMore shows from The Democracy Group

Since April a mysterious outbreak of hepatitis in children around the world has baffled doctors. Some children have required liver transplants and more than 20 have died. Recent findings may link the spike in cases to covid-19 lockdowns. We examine the evidence and ask how a lack of exposure to bugs can affect immune systems. What other consequences could pandemic restrictions have for the long-term health of children—and adults? Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. See acast.com/privacy for privacy and opt-out information.

Since April a mysterious outbreak of hepatitis in children around the world has baffled doctors. Some children have required liver transplants and more than 20 have died. Recent findings may link the spike in cases to covid-19 lockdowns. We examine the evidence and ask how a lack of exposure to bugs can affect immune systems. What other consequences could pandemic restrictions have for the long-term health of children—and adults? Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. See acast.com/privacy for privacy and opt-out information.

From pandemics, populism and climate change, AI and ISIS, inflation and growing tensions with China and Russia, we are faced with enormous challenges— some of which threaten our existence. In this episode we discuss how we are all influenced by our personal perspectives and prejudices— our frames— and how we can use mental models to see patterns, solve problems and go beyond a narrow lens of red vs. blue or "us" vs. "them."Our guests are Kenneth Cukier, deputy executive editor of "The Economist" and Francis de Véricourt, professor of management science at the European School of Management and Technology in Berlin. Both are co-authors of "Framers. Human Advantage in an Age of Technology and Turmoil." This innovative book shows how framing is not just a way to improve decision-making in an age of algorithms and machine learning, but also a matter for survival at a time of upheaval.Real-world examples of how framers changed the world include: The rapid rise of #MeToo, which went viral on Twitter after the actress Alyssa Milano tweeted a request to her followers: “If you've been sexually harassed or assaulted write ‘me too' as a reply to this tweet.” Successful, innovative responses to Covid-19 were made by the governments of New Zealand and Taiwan. Recently, the Federal Reserve was forced to change its inflation frame before beginning a series of interest rate hikes. In our interview we learn why the advice to "think outside the box" is useless, and how to understand the role of mental models in our own daily lives.Recommendation: Jim and Richard suggest a puzzle: The New York Times Spelling Bee. See acast.com/privacy for privacy and opt-out information.

Framing is a cognitive muscle we can strengthen to improve our lives, work and future. Today's book shows us how.” We heartily welcome back the author of "Framers: Make Better Decisions In The Age of Big Data", Kenneth Cukier Find Kenneth here: @kncukier https://www.economist.com/books-and-arts/2021/05/11/imaginative-framing-is-the-key-to-problem-solving

DeepMind's artificial-intelligence system AlphaFold has predicted the three-dimensional shape of almost all known proteins. The company's boss Demis Hassabis tells us how the AI was able to solve what was, for decades, biology's grand challenge. Plus, Gilead Amit, The Economist's science correspondent, explores the significance of the breakthrough for scientists tackling neglected diseases and designing new molecules. The leap forward could be AI's greatest contribution to biology to date, but how else could machine learning help science? Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. See acast.com/privacy for privacy and opt-out information.

DeepMind's artificial-intelligence system AlphaFold has predicted the three-dimensional shape of almost all known proteins. The company's boss Demis Hassabis tells us how the AI was able to solve what was, for decades, biology's grand challenge. Plus, Gilead Amit, The Economist's science correspondent, explores the significance of the breakthrough for scientists tackling neglected diseases and designing new molecules. The leap forward could be AI's greatest contribution to biology to date, but how else could machine learning help science? Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. See acast.com/privacy for privacy and opt-out information.

Guest: Ian Mann | Regular Book Reviewer and MD at Gateways Business Consultants | See omnystudio.com/listener for privacy information.

Framing is a cognitive muscle we can strengthen to improve our lives, work and future. Today's book shows us how.” We welcome the author of Framers: Make Better Decisions In The Age of Big Data Kenneth Cukier Find Kenneth here: @kncukier

We're often told that humans make bad decisions and that more data is better. But this is backwards: people are good at decisions precisely because we use mental models and can envision new realities outside of data. Great outcomes don't depend so much on the final moment of choosing but on generating better alternatives to choose between. That's framing. It's a cognitive muscle we can strengthen to improve our lives, work and future. Today's book shows us how. We welcome the author of Framers: Make Better Decisions In The Age of Big Data Kenneth Cukier. Find Kenneth here: http://www.cukier.com @kncukier https://www.economist.com/books-and-arts/2021/05/11/imaginative-framing-is-the-key-to-problem-solving

With all of the recent advances in machine learning, what's left for us humans to do? Well, according to Ken Cukier, there is plenty: humans have not and may not ever be matched when it comes to thinking thru frames and models, using imagination to think through what is not in the data as much as what is in the data. Ken Cukier is a Senior Editor at The Economist, and host of its weekly podcast on technology. He is also an associate fellow at Said Business School at Oxford, researching artificial intelligence. His most recent book is, “Framers: Human Advantage in an Age of Technology and Turmoil,” c0-authored with xxxx which is a follow up to the earlier book “Big Data: A Revolution That Transforms How We Live, Work, and Think” he co authored with Viktor Mayer-Schönberger. He is also the author of “Learning with Big Data: The Future of Education.”Listen as Ken and Greg discuss framing, re-framing, learning by teaching, and the educated elite. Episode Quotes:Fundamental difference between AI & humansHuman beings are able to visualize things that don't exist. We don't have to run the experiment, we can run it in our minds in our imaginations. The computers cannot do that. Artificial intelligence has no ability to conceptualize information that it doesn't have. It can only rely on information that it does have. That is the fundamental difference: that we are able to see things that are not there.Liberal perspectivismIsn't it interesting that people are bristling in 2022 of trying to adopt the position of other people to walk in their shoes, to see things through their lens. You wouldn't have expected that. Encouraging reframingBy the time you're in your late thirties, and you've touched a little bit of authority and responsibility and a little bit more income and business class lounges, what's the likelihood that you're going to risk that by coming up with a new idea? I mean, unless you're already in a venture backed startup, probably not. So we do such a terrible job as a society at encouraging that reframing and that fresh thinking, we need to get better at it.Cognitively lazy peopleI think some people are more primed to being more dynamic. Stand up comedians are probably the least cognitively (or good ones at least), are probably the least cognitively lazy in the world. They thrive on newness of changing their act, developing things. Show Links:Recommended Resources:Philanthrocapitalism: How the Rich Can Save the World by Matthew BishopTheodore Levitt - WikipediaWhat Business Are You In?: Classic Advice from Theodore LevittFosbury Flop - WikipediaTania LombrozoJoel M. Podolny - WikipediaCal NewportDavid Foster Wallace - WikipediaGuest Profile:Faculty Profile at Saïd Business SchoolProfessional Profile at The EconomistSpeaker Profile at TEDTalkKen Cukier's WebsiteKen Cukier on LinkedInKen Cukier on TwitterKen Cukier on TEDSalon BerlinHis Work:Former Host of the Babbage PodcastKen Cukier on MediumFramers: Human Advantage in an Age of Technology and TurmoilLearning With Big Data: The Future of EducationBig Data: A Revolution That Will Transform How We Live, Work, and Think

Is the brain just a computer? Are AI conscious? Or could they be? Our experts debate.Looking for a link we mentioned? It's here: https://linktr.ee/philosophyforourtimes The idea of the brain as a computer is everywhere. So much so we have forgotten it is a model and not the reality. It's a metaphor that has lead some to believe that in the future they'll be uploaded to the digital ether and thereby achieve immortality. It's also a metaphor that garners billions of dollars in research funding every year. Yet researchers argue that when we dig down into our grey matter our biology is anything but algorithmic. And increasingly, critics contend that the model of the brain as computer is sending scientists (and their resources) nowhere fast.Is our attraction to the idea of the brain as computer an accident of current human technology? Can we find a better metaphor that might lead to a new paradigm? Is there something about computers that has indeed identified the very same processes that are operating in our brains, or is it a profound mistake to imagine the organic can be reduced to technology?There are thousands of big ideas to discover at IAI.tv – videos, articles, and courses waiting for you to explore. Find out more: https://iai.tv/podcast-offers?utm_source=podcast&utm_medium=shownotes&utm_campaign=models-metaphors-and-mindsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

There is nothing worse than fumbling around in your pocket trying to find some small change to pay for a newspaper or a coffee.没有什么比在口袋里摸索找零钱买报纸或喝咖啡更糟糕的了。 So it's good to know that new technology is making cash - banknotes and coins - a thing of the past, turning us into a cashless society.所以很高兴知道新技术正在使现金——纸币和硬币——成为过去，把我们变成一个无现金社会。Today, many of us already use credit and debit cards for financial transactions so there's no need to carry around huge wads of hard currency.今天，我们中的许多人已经使用信用卡和借记卡进行金融交易，因此无需随身携带大量硬通货。 And now it's possible to make contactless payments using tap-and-go cards which are regular bankcards but with a built-in chip and antenna. 现在可以使用触碰卡进行非接触式支付，这些卡是普通银行卡，但带有内置芯片和天线。The card reader sends out a radio frequency and, when you bring the card close to the reader, the antenna picks up the signal to make the payment. 读卡器发出无线电频率，当您将卡靠近读卡器时，天线会接收到信号进行支付。Paying this way or spending on 'plastic' - an informal name for a credit card - can put you at risk of fraud.以这种方式付款或在“塑料”（信用卡的非正式名称）上消费可能会使您面临欺诈风险。 Criminals try to steal cards, or the information on them, to make purchases online or in shops. 犯罪分子试图窃取卡片或卡片上的信息，以便在网上或商店购物。However, contactless payment is capped - in the UK the limit is £30. 但是，非接触式支付有上限——在英国，上限为 30 英镑。And, if someone does go on a spending spree with your card, your bank covers you against the loss - something that wouldn't happen if your banknotes were stolen.而且，如果有人确实用你的卡大肆消费，你的银行会为你承担损失——如果你的钞票被盗，这种情况就不会发生。 Also, the introduction of chip and PIN technology has led to a drop in fraud and has even been helping businesses by cutting the time people spend at tills in shops.此外，芯片和 PIN 技术的引入减少了欺诈行为，甚至通过减少人们在商店收银台上花费的时间来帮助企业。 But, if getting your bankcard out seems like too much trouble, there's now a solution using wearable tech - that's clothing and accessories that include computer and electronic technologies.但是，如果取出您的银行卡似乎太麻烦，那么现在有一个使用可穿戴技术的解决方案 - 包括计算机和电子技术的服装和配饰。 Kenneth Cukier, economist and technology expert, says "this is intended for people who are incredibly lazy who don't want to take their card out of their wallet, or use their phone, or use their watch. 经济学家和技术专家 Kenneth Cukier 说：“这适用于那些非常懒惰的人，他们不想从钱包里拿出卡片，不想使用手机，也不想使用手表。People are going to be making more purchases more of the time - particularly for small-valued goods." 人们将在更多时间进行更多购买——尤其是小价值商品。”And, although our mobile phones are another way of making payments, BBC reporter Kate Russell says that when this is inconvenient you can use the fingo-pay system which "reads the unique maps of veins under the surface of your finger."而且，虽然我们的手机是另一种付款方式，但 BBC 记者凯特·拉塞尔说，当不方便时，您可以使用 fingo-pay 系统，该系统“读取您手指表面下独特的静脉图”。 The trick is remembering which finger you registered with - that's when good old-fashioned cash might save the day! 诀窍是记住您用哪根手指注册 - 那是好的老式现金可能会节省一天的时间！What do you prefer to use when you buy something?你买东西时喜欢用什么？词汇表fumbling 掏来掏去small change 零钱banknotes 纸币credit 信用debit cards 现金账户卡transactions 交易wads 一扎一扎hard currency 现金contactless payments 无接触支付tap-and-go 点击付款antenna 天线plastic (informal) （俗语）信用卡fraud 诈骗purchases 购物spending spree 疯狂采购chip and PIN 密码tills 收款柜台wearable tech 可穿戴科技fingo-pay 指纹支付

How do you pay for your coffee? Is it with change? I use my tap-and-go card. 你如何支付咖啡的费用？是变化吗？我使用我的即插即用卡。I don't even need to enter my PIN number or a signature to authorise payment. 我什至不需要输入我的 PIN 码或签名来授权付款。It's quicker and everybody in the queue is happy.它更快，队列中的每个人都很高兴。Contactless payments are gaining popularity. 非接触式支付越来越受欢迎。Those concerned about security will be pleased to know that the amount of money you can spend in one go is limited – in the UK it's currently £30. 那些关心安全的人会很高兴知道您一次可以花的钱是有限的——在英国，目前是 30 英镑。But if the card is used a few times in a row, a PIN number will be needed. 但如果该卡连续使用几次，则需要输入 PIN 码。If a thief gets hold of your card and goes on a spending spree, your bank covers you against fraud. Whereas, if someone steals your banknotes, that's your bad luck!如果小偷盗取了您的卡并大肆消费，您的银行会为您提供防范欺诈的保障。然而，如果有人偷了你的钞票，那就是你的倒霉！For those who are always forgetting where they put their cards, there's a new solution: wearable tech: clothing and accessories that have integrated electronic technology. 对于那些总是忘记卡片放在哪里的人来说，有一个新的解决方案：可穿戴技术：集成了电子技术的服装和配饰。Kenneth Cukier, an economist and technology expert, says: "You can simply take any wireless card and the chip from it that your bank might issue you with, and you can put it in a coat.经济学家和技术专家 Kenneth Cukier 说：“你可以简单地取出银行可能会发给你的任何无线网卡和芯片，然后把它放在外套里。 When you want to make a payment just wave your arm in front of the terminal and leave the coffee shop with your latte.当您想付款时，只需在终端机前挥动您的手臂，然后拿着拿铁咖啡离开咖啡店。 This is intended for people who don't want to take their card out of their wallet, use their phone or their watch."这适用于那些不想从钱包里拿出卡片、不想使用手机或手表的人。”Good, isn't it? And new ways of spending money are not stopping there. The future is all about biometrics. 很好，不是吗？新的花钱方式并不止于此。未来的一切都与生物识别有关。Very convenient if you are at the beach or a festival – there's a new system in development which will make it possible to read the unique maps of veins under the surface of your finger, and use them to authenticate payments – or prove that it's you making the payments. 如果您在海滩或节日时非常方便 - 正在开发一个新系统，可以读取手指表面下的独特静脉图，并使用它们来验证付款 - 或证明是您制作的付款。You just need to remember which finger you registered with.您只需要记住您注册的手指。So spending money is becoming easier all the time. And the temptation to buy more stuff increases. 因此，花钱变得越来越容易。购买更多东西的诱惑也在增加。But it's worth bearing in mind that earning the money in the first place will still require the same effort. Back to work then!但值得记住的是，首先赚钱仍然需要同样的努力。那就回去工作吧！词汇表change 零钱a tap-and-go card 一拍即付银行卡PIN number （银行）密码signature 签名contactless payment 非接触式支付a spending spree 大采购，疯狂购买fraud 诈骗a banknote 纸币，钞票wearable tech 可穿戴技术wireless 无线的a chip 芯片biometrics 生物识别技术，生物测定学a vein 静脉（血管）to authenticate 鉴别，证明是有效的、真实的

M.T. is joined by New York Times best-selling Author Kenneth Cukier to discuss how the war in Ukraine might reach its end. Kenneth Cukier is deputy executive editor at The Economist. He is the coauthor of the New York Times Bestselling book “Big Data” with Viktor Mayer-Schönberger, which was translated into over 20 languages. Previously Kenn was the technology editor of the Wall Street Journal Asia in Hong Kong and worked at the International Herald Tribune in Paris. In 2002-04 he was a research fellow at Harvard's Kennedy School of Government. Topics What does a win for Ukraine look like? Can we trust Boris Johnson's words? Is their west complicit in this war Media coverage War in the age of social media Why don't people trust journalists The place of curiosity in todays world #ukraine #racisminukraine#commonsense #putin #russia #ukraine #ukraineracism #kremlin #zelensky #russiaandukraine #ukrainepodcast #russianpodcast #russiatoday #mtomoniyi #hastings #nyt

A new tech boom is disrupting medicine. We investigate how wearable trackers, such as the Fitbit or Apple Watch, could transform health care. And, could the devices help prevent the next pandemic? Kenneth Cukier hosts. For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. See acast.com/privacy for privacy and opt-out information.

A new tech boom is disrupting medicine. We investigate how wearable trackers, such as the Fitbit or Apple Watch, could transform health care. And, could the devices help prevent the next pandemic? Kenneth Cukier hosts. For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. See acast.com/privacy for privacy and opt-out information.

A new age of lunar exploration is dawning, bringing opportunity and geopolitical jostling. We explore the science and economics of the next space race. Also, correspondent Alok Jha investigates how to avoid conflict on missions to Mars. Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.With thanks to NASA for additional audio used in this episode. See acast.com/privacy for privacy and opt-out information.

A new age of lunar exploration is dawning, bringing opportunity and geopolitical jostling. We explore the science and economics of the next space race. Also, correspondent Alok Jha investigates how to avoid conflict on missions to Mars. Kenneth Cukier hosts.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.With thanks to NASA for additional audio used in this episode. See acast.com/privacy for privacy and opt-out information.

The world is desperate to understand the variant, which is poised to overtake Delta in parts of Europe. We ask how experts make sense of emerging data to project Omicron's impact. Also, Professor Sir David Spiegelhalter explains why scientists have drawn widely differing conclusions from covid-19 statistics. And, we reveal the winners of our final book giveaway of the year. Kenneth Cukier hosts.To keep up-to-date with our coverage of the Omicron variant, go to economist.com/omicron.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.Terms and conditions for the book competition featured in this podcast are available at economist.com/podcast-contest. See acast.com/privacy for privacy and opt-out information.

The world is desperate to understand the variant, which is poised to overtake Delta in parts of Europe. We ask how experts make sense of emerging data to project Omicron's impact. Also, Professor Sir David Spiegelhalter explains why scientists have drawn widely differing conclusions from covid-19 statistics. And, we reveal the winners of our final book giveaway of the year. Kenneth Cukier hosts.To keep up-to-date with our coverage of the Omicron variant, go to economist.com/omicron.For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.Terms and conditions for the book competition featured in this podcast are available at economist.com/podcast-contest. See acast.com/privacy for privacy and opt-out information.

The coronavirus could be lurking in many species of animals, according to a new report. We analyse the implications for human health. Also, what is the relationship between an unbalanced gut microbiome and autism? And, the father of Cognitive Behavioural Therapy died this month. Aaron Beck's daughter, the psychiatrist Judith Beck, tells us how her father turned the world of psychiatry upside down. Kenneth Cukier hosts.We would love to hear from you—please take a moment to complete our listener survey at economist.com/babbagesurvey. For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.Additional audio used with permission from the Beck Institute for Cognitive Behavior Therapy. See acast.com/privacy for privacy and opt-out information.

The coronavirus could be lurking in many species of animals, according to a new report. We analyse the implications for human health. Also, what is the relationship between an unbalanced gut microbiome and autism? And, the father of Cognitive Behavioural Therapy died this month. Aaron Beck's daughter, the psychiatrist Judith Beck, tells us how her father turned the world of psychiatry upside down. Kenneth Cukier hosts.We would love to hear from you—please take a moment to complete our listener survey at economist.com/babbagesurvey. For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.Additional audio used with permission from the Beck Institute for Cognitive Behavior Therapy. See acast.com/privacy for privacy and opt-out information.

An estimated 55 million people around the world live with dementia, yet only a quarter have been formally diagnosed. How will technology improve diagnostic devices for the condition? Also, with better testing in place but few treatments available, we explore if healthcare systems can cope with this silent epidemic. And, author and professor, Nina Kraus explores how brains build a sound world. Kenneth Cukier hosts. For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.Terms and conditions for the book competition featured in this podcast are available at economist.com/podcast-contest. See acast.com/privacy for privacy and opt-out information.

El big data nos ayudará a resolver grandes problemas: cómo cultivamos alimentos; cómo entregamos suministros a los necesitados; cómo curamos las enfermedades. Pero primero tenemos que aprender a manejarlo. La vida moderna está llena de dispositivos conectados. Actualmente, en un solo día generamos más datos de los que habíamos recopilado en miles de años. Kenneth Cukier explica cómo ha cambiado la información, y cómo empieza a cambiarnos a nosotros. La Dra. Ellen Grant nos cuenta que el Hospital Infantil de Boston utiliza software de código abierto para transformar los grandes volúmenes de datos en tratamientos personalizados. Y Sage Weil explica que el almacenamiento escalable y resistente de Ceph en la nube nos ayuda a administrarlos. Recopilar información es indispensable para poder entender el mundo que nos rodea. El big data nos ayuda a seguir con nuestros interminables descubrimientos.

Viktor Mayer-Schönberger is the Professor of Internet Governance and Regulation at the University of Oxford. His research focuses on the role of information in a networked economy.Earlier he spent ten years on the faculty of Harvard's Kennedy School of Government. Professor Mayer-Schönberger has published seven books, as well as over a hundred articles (including in Science) and book chapters. In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. Data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt.This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.His most recent book is the best-selling "Big Data" (co-authored with Kenneth Cukier). Before that he wrote the awards-winning 'Delete: The Virtue of Forgetting in the Digital Age' (Princeton University Press 2009). Ideas proposed in the book have now become official policy, e.g. of the European Union.A native Austrian, Professor Mayer-Schönberger founded Ikarus Software in 1986, a company focusing on data security, and developed Virus Utilities, which became the best-selling Austrian software product. He was voted Top-5 Software Entrepreneur in Austria in 1991 and Person-of-the-Year for the State of Salzburg in 2000.- https://twitter.com/Viktor_MS- https://www.linkedin.com/in/viktormayerschoenberger/- https://www.amazon.com/Reinventing-Capitalism-Age-Big-Data/dp/046509368XPlease do NOT hesitate to reach out to me on Instagram, Twitter or via email mark@vudream.comHumans 2.0 Twitter - https://twitter.com/Humans2PodcastTwitter - https://twitter.com/markymetryMedium - https://medium.com/@markymetryFacebook - https://www.facebook.com/mark.metry.9Instagram - https://www.instagram.com/markmetry/LinkedIn - https://www.linkedin.com/in/mark-metry/Mark Metry - https://www.markmetry.com/

Jonathan Freedland compares cyber-attacks today with the Great Siege of Dover Castle in 1216 during which the French used new offensive techniques to try to seize the English throne. In 1216, Prince Louis of France's near-successful bid for the English throne climaxed in Dover, where his forces used a multitude of techniques in a major assault on the castle - including digging beneath the castle gate and use of the trebuchet to attempt to breach the walls. Jonathan draws on this medieval example to discuss cyber security in the 21st century context. Joining Jonathan at Dover Castle are medieval historian Marc Morris; General Sir Richard Barrons, former Commander Joint Forces Command, one of the six Chiefs of Staff leading the UK Armed Forces until April 2016; Kenneth Cukier of The Economist; and Sara Perez, ethical hacker at SensePost. Readings are by Hugh Simon who played MI5 Data Analyst Malcolm Wyn-Jones in the popular BBC TV series Spooks. Producer: Laurence Grissell.

The Cost of Free Information. Against a backdrop of perceived excess of intellectual property, and problems that require solving with a matter of urgency, Rana Mitter and Jodie Ginsburg, Dr. Rufus Pollock and Kenneth Cukier test the promises of the internet to spread ideas quickly and democratically. This event was recorded in front of an audience at the Free Thinking Festival at Sage, Gateshead on 02.11.14.

Log onto an online dating site and you are asking a machine for romantic assistance. That's cool, but you might as well understand how it works, right? There's an algorithm picking and choosing which profile to put in front of which users, and sometimes it works—roughly a third of marriages these days begin online—and other times it doesn't. On this week's New Tech City, host Manoush Zomorodi tracks down some smart people who are writing, and improving the matching systems of dating sites. Kenneth Cukier, data editor at The Economist, explains "you'd be a fool to try to do online dating without machine intelligence, without machine learning." So we get him to explain what that means.  Kang Zhao, professor of management sciences at the University of Iowa, is a very smart guy who has a plan to make sure the matches in front of you are people you'd actually like, and who will actually respond to your messages. "There are ways to improve [profiles] because the information you have in your profile is sometimes just too much." And then we put all this to someone responsible for a whole lot of online meetings, VP of matching for eHarmony, Steve Carter, who says a few unexpected things, including that dating sites only work if you shake up your rigid mindset and embrace the real life, offline magic of face-to-face dating. 

On Start the Week Lisa Jardine discusses how complex maths has broken free of the laboratory and now influences every aspect of our lives. James Owen Weatherall applauds the take-over of the financial world by physicists, Marcus du Sautoy revels in the numbers and Kenneth Cukier explores how big data will change everything from disease control to bargain buys. But the cultural commentator Tiffany Jenkins sounds a note of caution about a world where everything is measurable.Producer: Katy Hickman.