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New Books in Science

New Books in Science

New Books Network

Interviews with Scientists about their New Books Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

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Top 10 New Books in Science Episodes

Goodpods has curated a list of the 10 best New Books in Science episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to New Books in Science for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite New Books in Science episode by adding your comments to the episode page.

Is the universe infinite or just really big? With this question, cosmologist Janna Levin announces the central theme of this book, which established her as one of the most direct, unorthodox, and creative voices in contemporary science. As Levin sets out to determine how big "really big" may be, she offers a rare intimate look at the daily life of an innovative physicist, complete with jet lag and the tensions between personal relationships and the extreme demands of scientific exploration. Nimbly explaining geometry, topology, chaos, and string theory, Levin shows how the pattern of hot and cold spots left over from the big bang may one day reveal the size of the cosmos. How the Universe Got Its Spots: Diary of a Finite Time in a Finite Space (Princeton UP, 2023) is a thrilling story of cosmology by one of its leading thinkers.

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New Books in Science - The Future of Innovation: A Discussion with Min W. Jung
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11/26/23 • 35 min

Humans have been so dominant on Earth in large part because of their capacity to innovate – but how does that work exactly? Why can they innovate so much? That issue has been studied by Professor Min W. Jung from the Center for Synaptic Brain Dysfunctions at the Institute for Basic Science in South Korea. He is the author of A Brain for Innovation: The Neuroscience of Imagination and Abstract Thinking (Columbia UP, 2023). Listen to him in conversation with Owen Bennett Jones.

Owen Bennett-Jones is a freelance journalist and writer. A former BBC correspondent and presenter he has been a resident foreign correspondent in Bucharest, Geneva, Islamabad, Hanoi and Beirut. He is recently wrote a history of the Bhutto dynasty which was published by Yale University Press.

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Listen to this interview of Nicolas Christin, Professor at Carnegie Mellon University, jointly appointed in the School of Computer Science and in the department of Engineering and Public Policy. We talk about the luck it takes to succeed in research, and of course too about the initiative shown by successful researchers to seize that luck.

Nicolas Christin : "You will get a pretty good understanding of where some research idea has come from if you read the Introduction of the paper very carefully. Because the Introduction will typically start with either a sort of case study, 'Alright, so, x does y and this is what happened to them, and so, yeah, we need to fix that problem' or the Introduction will tell you how the paper inscribes itself in a larger body of work but without going through all the related work, as in, 'Yeah, we are different from A, B, and C in this and that way' but instead like 'Yeah, this is what the state-of-the-art is and this is what we are bringing to the table.' And as you read this, you can back-track it all and then see what the initial spark was, what the key motivation for that whole line of research was. Because in some cases, when you do this careful reading, say, ten years after the fact, you know, when you return to the seminal papers in your field, there you may realize or you may find out that the initial idea came from a case study or from a problem that actually was not a problem at all, because really the thing just became famous because it was applied to a different context. And that is, of course, completely fine. In fact, it tells you something about the serendipity or the randomness of what sticks and what doesn't."

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Psychologists and neuroscientists struggle with how best to interpret human motivation and decision making. The assumption is that below a mental “surface” of conscious awareness lies a deep and complex set of inner beliefs, values, and desires that govern our thoughts, ideas, and actions, and that to know this depth is to know ourselves. In the The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain (Yale UP, 2019), behavioural scientist Nick Chater contends just the opposite: rather than being the plaything of unconscious currents, the brain generates behaviors in the moment based entirely on our past experiences. Engaging the reader with eye-opening experiments and visual examples, Chater first demolishes our intuitive sense of how our mind works, then argues for a positive interpretation of the brain as a ceaseless and creative improviser.

Dr. Nick Chater is Professor of behavioral science at the Warwick Business School and cofounder of Decision Technology Ltd. He has contributed to more than two hundred articles and book chapters and is author, co-author, or co-editor of fourteen books.

Dr. John Griffiths (@neurodidact) is an Assistant Professor at the University of Toronto, and Head of Whole Brain Modelling at the CAMH Krembil Centre for Neuroinformatics. His research group (www.grifflab.com) works at the intersection of computational neuroscience and neuroimaging, building simulations of human brain activity aimed at improving the understanding and treatment of neuropsychiatric and neurological illness.

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New Books in Science - S4E4 In Defense of Bad Science and the Philosophy of Being
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09/04/24 • 42 min

What role does science play in shaping our laws? How do we distinguish between good science and bad science? Where does science hit its limits due to our human nature? And how do we separate orthodox belief from true knowledge? These are just some of the thought-provoking questions we'll explore in our upcoming philosophical conversation on science and human existence.

Join us as we dive into these topics with Dr. William Allen, a distinguished scholar renowned for his expertise in political philosophy and the philosophy of science. Dr. Allen has been a long-standing participant at The Conference on Science, Statistics, and Public Policy, bringing with him a wealth of knowledge and experience.

Dr. Allen's illustrious career includes serving as the dean of James Madison College and as a professor of political science at Michigan State University. He has also held academic positions at Villanova University, Ashland University, and Harvey Mudd College in Claremont, California. His academic journey began with a Ph.D. in government from the prestigious Claremont Graduate University.

Beyond academia, Dr. Allen has made significant contributions as a former member and chairman of the U.S. Commission on Civil Rights. He is a recipient of the Kellogg National Fellowship, a Fulbright Fellowship, and has served on the National Council on the Humanities. His published works include critically acclaimed books like George Washington: America’s First Progressive and Rethinking Uncle Tom: The Political Philosophy of H. B. Stowe. Dr. Allen has also edited influential collections such as George Washington: A Collection and The Essential Antifederalist, alongside numerous scholarly articles on political philosophy and American political thought.

Don't miss this opportunity to engage with one of the foremost thinkers of our time as we navigate the intersection of science, truth, and human existence.

Madison’s Notes is the podcast of Princeton University’s James Madison Program in American Ideals and Institutions

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If you’re a grad student facing the ugly reality of finding a tenure-track job, you could easily be forgiven for thinking about a career change. However, if you’ve spent the last several years working on a PhD, or if you’re a faculty member whose career has basically consisted of higher ed, switching isn’t so easy. PhD holders are mostly trained to work as professors, and making easy connections to other careers is no mean feat. Because the people you know were generally trained to do the same sorts of things, an easy source of advice might not be there for you.

Thankfully, for anybody who wishes there was a guidebook that would just break all of this down, that book has now been written. Going Alt-Ac: A Guide to Alternative Academic Careers (Stylus Publishing, 2020) by Kathryn E. Linder, Kevin Kelly, and Thomas J. Tobin offers practical advice and step-by-step instructions on how to decide if you want to leave behind academia and how to start searching for a new career. If a lot of career advice is too vague or too ambiguous, this book corrects that by outlining not just how to figure out what you might want to do, but critically, how you might go about accomplishing that.

Zeb Larson is a recent graduate of The Ohio State University with a PhD in History. His research deals with the anti-apartheid movement in the United States. To suggest a recent title or to contact him, please send an e-mail to [email protected].

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The institutional history of mathematics in the United States comprises several entangled traditions—military, civil, academic, industrial—each of which merits its own treatment. David Lindsay Roberts, adjunct professor of mathematics at Prince George's Community College, takes a very different approach. His unique book, Republic of Numbers: Unexpected Stories of Mathematical Americans through History(Johns Hopkins University Press, 2019), anchors 20 biographical chapters to a decadal series of events, whose mathematical significance could not often have been anticipated. These short biographies range from the inauguration of military and civil engineering (Sylvanus Thayer) and the textbook industry (Catharine Beecher and Joseph Ray) to the influence of geopolitics during and after the Cold War (Joaquin Basilio Diaz, John F. Nash Jr.), and over the course of the book the subjects witness the professionalization of the research community (Charles H. Davis), radical expansions of educational access (Kelly Miller, Edgar L. Edwards Jr.), and contentious, transgenerational debates over curriculum design (Izaak Wirzsup, Frank B. Allen), among many other themes. Through their professional and institutional connections, the subjects of the chapters form a connected component, providing intriguing narrative hooks across time, geography, and status while evidencing the tightly bound community of American mathematics scholarship. The book can be read as professional history or as a collection of biographical essays, and i expect it to become a charming entry point for mathematical, historical, or not-yet-hooked readers into the forces that have shaped the discipline.

Suggested companion work: David E. Zitarelli, A History of Mathematics in the United States and Canada: Volume 1: 1492–1900.

Cory Brunson (he/him) is a Postdoctoral Fellow at the Center for Quantitative Medicine at UConn Health.

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A Brief History of Intelligence: Evolution, Ai, and the Five Breakthroughs That Made Our Brains (Mariner Books, 2023) tells two fascinating stories. One is the evolution of nervous systems. It started 600 million years ago, when the first brains evolved in tiny worms. The other one is humans' quest to create more and more intelligent systems. This story begins in 1951 with the first reinforcement learning algorithm trying to mimic neural networks.

Max Bennett is an AI entrepreneur and neuroscience researcher. His work combines insights from evolutionary neuroscience, comparative psychology, and AI. As each chapter describes how a skill evolved, it also explains whether(!) and how an AI system has managed to implement something similar. A recurring theme is how human brains and neural circuits have influenced AI architecture. The other side of this bi-directional connection is also intriguing. AI has often served as a litmus test, giving a clue how a not well understood neurobiological phenomenon might work, how plausible a hypothesis is.

The organzining principle of this book is a framework of five breakthroughs, which compares evolution to technological innovation. Like a new technology enables several innovative products, a new brain capability enables several new skills. For example, mammals show several new intelligent behaviors compared to their ancestors: vicarious trial and error, episodic memory, and planning. The foundation of all these novelties, is probably the same capability: simulation.

The five breakthroughs are:

  1. steering in bilaterians
  2. learning from trial and error in vertebrates
  3. simulating in mammals
  4. mentalizing in primates
  5. speaking in humans

This framework guides the readers through a time travel of 600 million years. We learn about the environment in which these capabilities evolved: Who were the first mammals and why did planning benefit them? We see what contemporary animals can and can't do: Fish aren't as dumb as folklore suggests. And we take a look at AI's baffling achievements and limitations: Why can AI write decent essays but not load a dishwasher?

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In this compelling history of the co-ordinated, transnational defence of medical experimentation in the nineteenth and early twentieth centuries, Rob Boddice explores the experience of vivisection as humanitarian practice. He captures the rise of the professional and specialist medical scientist, whose métier was animal experimentation, and whose guiding principle was 'humanity' or the reduction of the aggregate of suffering in the world. He also highlights the rhetorical rehearsal of scientific practices as humane and humanitarian, and connects these often defensive professions to meaningful changes in the experience of doing science. Humane Professions: The Defence of Experimental Medicine, 1876-1914 (Cambridge UP, 2021) examines the strategies employed by the medical establishment to try to cement an idea in the public consciousness: that the blood spilt in medical laboratories served a far-reaching human good.

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Peoples & Things host, Lee Vinsel, talks with Guru Madhavan, Norman R. Augustine Senior Scholar and Senior Director of Programs at the National Academy of Engineering, about his recent book, Wicked Problems: How to Engineer a Better World (W. W. Norton & Company, 2024). In Wicked Problems, Madhavan draws on a rich body of literature from the humanities and social sciences to think through how engineers can do a better job working on problems that include complex social and technical realities. The pair also talk about how Madhavan came to the National Academy of Engineering after working as an engineer and entrepreneur and some of his future work, including ongoing writing on the importance of maintenance and “grind problems” in engineering.

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FAQ

How many episodes does New Books in Science have?

New Books in Science currently has 780 episodes available.

What topics does New Books in Science cover?

The podcast is about Natural Sciences, Podcasts and Science.

What is the most popular episode on New Books in Science?

The episode title 'Janna Levin, "How the Universe Got Its Spots: Diary of a Finite Time in a Finite Space" (Princeton UP, 2023)' is the most popular.

What is the average episode length on New Books in Science?

The average episode length on New Books in Science is 60 minutes.

How often are episodes of New Books in Science released?

Episodes of New Books in Science are typically released every 3 days.

When was the first episode of New Books in Science?

The first episode of New Books in Science was released on Feb 27, 2008.

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