New Books in Mathematics  Por  arte de portada

New Books in Mathematics

De: Marshall Poe
  • Resumen

  • Interviews with Mathematicians about their New Books Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics
    New Books Network
    Más Menos
activate_primeday_promo_in_buybox_DT
Episodios
  • David J. Hand, "Dark Data: Why What You Don't Know Matters" (Princeton UP, 2020)
    Jul 8 2024
    There is no shortage of books on the growing impact of data collection and analysis on our societies, our cultures, and our everyday lives. David Hand's new book Dark Data: Why What You Don't Know Matters (Princeton University Press, 2020) is unique in this genre for its focus on those data that aren't collected or don't get analyzed. More than an introduction to missingness and how to account for it, this book proposes that the whole of data analysis can benefit from a "dark data" perspective—that is, careful consideration of not only what is seen but what is unseen. David assembles wide-ranging examples, from the histories of science and finance to his own research and consultancy, to show how this perspective can shed new light on concepts as classical as random sampling and survey design and as cutting-edge as machine learning and the measurement of honesty. I expect the book to inspire the same enjoyment and reflection in general readers as it is sure to in statisticians and other data analysts. Suggested companion work: Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men. Cory Brunson (he/him) is a Research Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics
    Más Menos
    1 h y 18 m
  • Ann Johnson and Johannes Lenhard, "Cultures of Prediction: How Engineering and Science Evolve with Mathematical Tools" (MIT Press, 2024)
    Jun 24 2024
    A probing examination of the dynamic history of predictive methods and values in science and engineering that helps us better understand today's cultures of prediction. The ability to make reliable predictions based on robust and replicable methods is a defining feature of the scientific endeavor, allowing engineers to determine whether a building will stand up or where a cannonball will strike. Cultures of Prediction: How Engineering and Science Evolve with Mathematical Tools (MIT Press, 2024), which bridges history and philosophy, uncovers the dynamic history of prediction in science and engineering over four centuries. Ann Johnson and Johannes Lenhard identify four different cultures, or modes, of prediction in the history of science and engineering: rational, empirical, iterative-numerical, and exploratory-iterative. They show how all four develop together and interact with one another while emphasizing that mathematization is not a single unitary process but one that has taken many forms. The story is not one of the triumph of abstract mathematics or technology but of how different modes of prediction, complementary concepts of mathematization, and technology coevolved, building what the authors call “cultures of prediction.” The first part of the book examines prediction from early modernity up to the computer age. The second part probes computer-related cultures of prediction, which focus on making things and testing their performance, often in computer simulations. This new orientation challenges basic tenets of the philosophy of science, in which scientific theories and models are predominantly seen as explanatory rather than predictive. It also influences the types of research projects that scientists and engineers undertake, as well as which ones receive support from funding agencies. Nikki Stevens, PhD is a critical technology researcher and software engineer. Find more of their work here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics
    Más Menos
    1 h y 2 m
  • Paulina Rowinska, "Mapmatics: How We Navigate the World Through Numbers" (Pan Macmillan, 2024)
    Jun 19 2024
    How does a delivery driver distribute hundreds of packages in a single working day? Why does remote Alaska have such a large airport? Where should we look for elusive serial killers? The answers lie in the crucial connection between maps and maths. In Mapmatics: How We Navigate the World Through Numbers (Pan Macmillan, 2024), Dr Paulina Rowinska embarks on a fascinating journey to discover the mathematical foundations of cartography and cartographical influences on mathematics. From a sixteenth-century map that remains an indispensable navigation tool despite emphasising the North–South divide to public transport maps that both guide and mislead passengers, she reveals how maps and maths shape not only our sense of space and time but also our worldview. Through entertaining stories, surprising real-world examples and a cast of unforgettable characters, Mapmatics helps us to appreciate the mathematical methods and ideas behind maps. And, by illuminating how our world works, leaves us better equipped to understand and look after it. This interview was conducted by Dr. Miranda Melcher whose new book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics
    Más Menos
    57 m

Lo que los oyentes dicen sobre New Books in Mathematics

Calificaciones medias de los clientes
Total
  • 5 out of 5 stars
  • 5 estrellas
    1
  • 4 estrellas
    0
  • 3 estrellas
    0
  • 2 estrellas
    0
  • 1 estrella
    0
Ejecución
  • 5 out of 5 stars
  • 5 estrellas
    1
  • 4 estrellas
    0
  • 3 estrellas
    0
  • 2 estrellas
    0
  • 1 estrella
    0
Historia
  • 5 out of 5 stars
  • 5 estrellas
    1
  • 4 estrellas
    0
  • 3 estrellas
    0
  • 2 estrellas
    0
  • 1 estrella
    0

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.