What is mathematical music? In Mathematical Music from Antiquity to AI (Routledge, 2022), musicologist Nikita Braguinski discusses how mathematics has historically been used to make music, how it continues to influence musical composition, and the ways in which it may influence music in the future, including through artificial intelligence (AI). From pre-historic sounds to Gregorian chant to jazz to rock and beyond, from Mozart to M.C. Hammer, from the definition of an interval to time signatures to what gives human music its “soul,” Braguinski, a 2019-2020 Harvard University Music Department fellow, takes us on a fascinating journey.David Hamilton Golland is professor of history and immediate past president of the faculty senate at Governors State University in Chicago's southland. @DHGolland. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

Games are an established aide in pre-college mathematics education. Meanwhile, innumerable popular books have investigated the mathematics of games. In a new edited volume for the AMS/MAA Classroom Resource Materials Series, topologist and NSF educational program director Mindy Capaldi and contributors join advanced topics with innovative lesson designs in possibly the first book of game-based mathematics education for college curricula. Teaching Mathematics Through Games (MAA Press, 2020) comprises lesson material for the full breadth of coursework taken by math students involving just as diverse and often surprising a breadth of games.I've become interested in how edited collections come about, especially in mathematics, so i took some time at the start to ask Dr. Capaldi about the conception and production of this project. We then discussed a selection of six of the book's seventeen chapters that offer a sense of its scope and a taste of its value. To touch briefly on some chapters we did not discuss: Christine Latulippe use the combinatorial format of Sudoku and dates in the history of mathematics to practice converting between numeration systems; and Jacob Heidenreich adapts the game play of Battleship to hone students' understanding of properties of functions.In addition to a detailed description of game play and how it ties in to the topic, each chapter contains exercises, problems, or activities that build upon the core lesson, and an online supplement provides material to support the lessons in practice. The book is designed specifically for instructors and provides rich material for an active learning curriculum, but avid and curious gamers and math geeks will also find much to enjoy.Suggested companion works: MAA Instructional Practices Guide Gathering 4 Gardner Mindy Capaldi is an Associate Professor of Mathematics and Statistics at Valparaiso University in Indiana. She completed her Ph.D. at North Carolina State University in 2010 and is currently on a leave of absence as a Program Director at the National Science Foundation.Cory Brunson is an Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. His research focuses on geometric and topological approaches to the analysis of medical and healthcare data. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

Listen to this interview of Dashun Wang, Professor at the Kellogg School of Management and McCormick School of Engineering at Northwestern University, and also with Albert-László Barabási, Robert Gray Dodge Professor of Network Science and Distinguished University Professor at Northeastern University. We talk about their new book The Science of Science" (Cambridge UP, 2021) and science, squared.Albert-László Barabási : "There is, of course, the need that you grow professionally. If you're a mathematician, you need to perfect your math. If you're a physicist, you need to do your physics. If you're a biologist, you need to develop your lab techniques. But no matter the magnitude of any discovery you might make, it's not impactful unless you can actually communicate it. And I think that this is where science lacks significantly. I would even go so far as to say, there is a counter-selection: People who are not necessarily the best communicators tend to prefer science because there's the impression that that is not the skill that you need — you just need to be able to solve problems in a meaningful way. But if you're not able to write your ideas down, if you're not able to share your ideas with your community, then it's really as if you didn't have the ideas at all. And you know, I have experienced this in my own career. When I got interested in network science back in 1994/95, for the first few years my papers got rejected one after the other, and not because it wasn't good science (as I would later realize) — no, my papers were getting rejected because I could not communicate to the community at large and to my referees in particular why we should care about networks. And it took me about five years to find the way into people's minds, to learn how they write papers about networks. I needed to learn the hard way about how the community of scientists appreciated and did not appreciate research on networks. And it took me so long because I'd never been offered the opportunity to study the communication of science."Watch Daniel edit your science here. Contact Daniel at writeyourresearch@gmail.com. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

Listen to this interview of Hilary Glasman-Deal, teacher of STEMM communication at the Centre for Academic English, Imperial College London, and author ofScience Research Writing For Native and Non-Native Speakers of English (World Scientific Publishing Europe, 2020). We talk about researching, reading, and writing.Hilary Glasman-Deal : "One of the things I'm very often saying, particularly with early-career researchers, is this: 'Look, your reading is clearly effective, because you understand your field, okay, and you're an expert in your field. But your writing is operating at a different location from your reading. And what you need to be doing is bringing the two closer together so that they are, in a sense, a mirror image of each other, so that you're using your reading to feed your writing. You're using the reading as a bridge into the writing, rather than assuming that the two can exist in separate orbits.'"Visit the Centre for Academic English here. Watch Daniel edit your science here. Contact Daniel at writeyourresearch@gmail.com. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

In A New History of Modern Computing (MIT Press, 2021), Thomas Haigh and Paul Ceruzzi trace changes leading to the computer becoming a ubiquitous technology. Over the past fifty years, the computer has been transformed from a hulking scientific super tool and data processing workhorse, remote from the experiences of ordinary people to a diverse family of devices that billions rely on to play games, shop, stream music, and movies, communicate, and count their steps. A comprehensive reimagining of Ceruzzi's A History of Modern Computing, this new volume uses each chapter to recount one such transformation, describing how a particular community of users and producers remade the computer into something new. Haigh and Ceruzzi ground their accounts of these computing revolutions in the longer and deeper history of computing technology. They begin with the story of the 1945 ENIAC computer, which introduced the vocabulary of "programs" and "programming," and proceed through email, pocket calculators, personal computers, the World Wide Web, videogames, smartphones, and our current world of computers everywhere--in phones, cars, appliances, watches, and more. Finally, they consider the Tesla Model S as an object that simultaneously embodies many strands of computing.Dr. Thomas Haigh is a Professor of History at the University of Wisconsin-Milwaukee and Comenius Visiting Professor at Siegen University. He has been researching the history of computing for more than twenty years and is a past chair of SIGCIS, the group for historians of information technology. He is the lead author, with Mark Priestley and Crispin Rope, of ENIAC in Action: Making and Remaking the Modern Computer, about the design, construction, and use of the first general-purpose programmable electronic computer, the ENIAC. His new book, with Paul Ceruzzi, is New History of Modern Computing: a comprehensive history of computing from ENIAC to the Covid-19 pandemic. Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

As the US contends with issues of populism and de-democratization, this timely study considers the impacts of digital technologies on the country’s politics and society.In Algorithms and the End of Politics: How Technology Shapes 21st-Century American Life (Bristol University Press, 2021), Dr. Scott Timcke provides a Marxist analysis of the rise of digital media, social networks and technology giants like Amazon, Apple, Facebook and Microsoft. He looks at the impact of these new platforms and technologies on their users who have made them among the most valuable firms in the world.Offering bold new thinking across data politics and digital and economic sociology, this is a powerful demonstration of how algorithms have come to shape everyday life and political legitimacy in the US and beyond.Michael O. Johnston, Ph.D. is an Assistant Professor of Sociology at William Penn University. His most recent research, “The Queen and Her Royal Court: A Content Analysis of Doing Gender at a Tulip Queen Pageant,” was published in Gender Issues Journal. He researches culture, social identity, placemaking, and media representations of social life at festivals and celebrations. He is currently working on a book titled Community Media Representations of Place and Identity at Tug Fest: Reconstructing the Mississippi River. You can learn more about Dr. Johnston on his website, Google Scholar, on Twitter @ProfessorJohnst, or by email at johnstonmo@wmpenn.edu. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

Nick Enfield’s book, Language vs. Reality: Why Language is Good for Lawyers and Bad for Scientists (MIT Press, 2022), argues that language is primarily for social coordination, not precisely transferring thoughts from one person to another. Drawing on empirical research, Enfield shows that human lexicons the world over are far more coarse-grained than our perceptual faculties. Yet, at the same time, languages vary in the structure and sophistication of their representations. This means that, for instance, how different languages carve up the world influences not only how their speakers talk about the world, but also how they think about it. The book explores a range of linguistic phenomena, from lexical diversity to linguistic framing to the effects of narrative. As a result of understanding how language shapes our understanding of reality, Enfield argues that we can make more informed—and more ethical—decisions about our own language use, as individuals and communities. Malcolm Keating is Assistant Professor of Philosophy at Yale-NUS College. His research focuses on Sanskrit philosophy of language and epistemology. He is the author of Language, Meaning, and Use in Indian Philosophy (Bloomsbury Press, 2019) and host of the podcast Sutras (and stuff). Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (Yale University Press, 2021), Kate Crawford reveals how this planetary network is fuelling a shift toward undemocratic governance and increased racial, gender, and economic inequality. Drawing on more than a decade of research, award‑winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind “automated” services, to the data AI collects from us.Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world. Matthew Jordan is a university instructor, funk musician, and clear writing enthusiast. He studies the history of science and technology, driven by the belief that we must understand the past in order to improve the future. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

Listen to this interview of Stephen Heard, Professor of Biology at the University of New Brunswick. We talk about his book The Scientist’s Guide to Writing: How to Write More Easily and Effectively Throughout Your Scientific Career, 2nd ed. (Princeton UP, 2022), we talk about writing when it's a verb, we talk about writing when it's a choice, and we talk about writing when it's the science.Stephen Heard : "Especially for early-career scientists there's a risk of their writing entering into a positive feedback loop with the writing as it is in the literature. And really, we do this to them, we professors and instructors. We say, 'Next week, you're going to hand in a lab report. Write out this experiment you did,' and we say, quote, 'and write like the scientific literature,' unquote. Well, that's a horrible thing to tell anyone to do, because unfortunately, much of our literature isn't particularly well written. We love our acronyms, we love really long noun phrases, we love the passive voice, and so on. And so, people who don't make conscious choices and just sort of model what they're writing on what's already out there — I think they sort of get locked into some of those bad decisions, like the five-noun noun phrase. So being aware of what you're doing, thinking about the language you're using, and being willing to use the language to its fullest — that's not an invitation to write your own Finnegans Wake — but it is an invitation to think carefully about the way of constructing your point that will resonate best with the reader."Readers may be interested in Heard's webpage for the book. Watch Daniel edit your science here. Contact Daniel at writeyourresearch@gmail.com. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics

The Constitution of Algorithms: Ground-Truthing, Programming, Formulating (MIT Press, 2021) is a laboratory study that investigates how algorithms come into existence. Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.Florian Jaton is a Postdoctoral Researcher at the STS Lab, a research unit of the Institute of Social Sciences of the University of Lausanne, Switzerland. Florian studied Philosophy, Mathematics, Literature, and Political Sciences before receiving his PhD in Social Sciences at the University of Lausanne. He also worked at the Donald Bren School of Information and Computer Science at the University of California Irvine and at the Centre de Sociologie de l'Innovation at the École des Mines de Paris. His research interests are the sociology of algorithms, the philosophy of mathematics, and the history of computing. Austin Clyde is a Ph.D. candidate at the University of Chicago Department of Computer Science. He researches artificial intelligence and high-performance computing for developing new scientific methods. He is also a visiting research fellow at the Harvard Kennedy School's Science, Technology, and Society program, where my research addresses the intersection of artificial intelligence, human rights, and democracy. Learn more about your ad choices. Visit megaphone.fm/adchoicesSupport our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics