Hardback : HK$540.00
From the stock market to covid-19, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models-from linear regression to random walks and far beyond-that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. Now culminating in an examination of how to use the multi-model approach to think about pandemics like covid-19, The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
From the stock market to covid-19, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models-from linear regression to random walks and far beyond-that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. Now culminating in an examination of how to use the multi-model approach to think about pandemics like covid-19, The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
Scott E. Page is the Leonid Hurwicz Collegiate Professor of Complex Systems, Political Science, and Economics at the University of Michigan and an external faculty member of the Santa Fe Institute.
"A hands-on reference for the working data scientist, The Model
Thinker challenges us to consider that the historical methods we
have used for data analysis are no longer adequate given the
complexity of today's world....What has given this book a place in
my permanent library is its deep dives into dozens of models.
Equations and the diagrams are here, but so are
applications."--Carol Wells, Inside Big Data: Your Source for
Machine Learning
"A tremendously significant book embracing a creative, innovative
approach for thinking about the complex mechanisms of social and
natural phenomena"--S-T. Kim, North Carolina A&T State
University, Choice
"An original and thought-provoking book, and a challenging one for
a one-model thinker like myself. Brace yourself for an entirely new
perspective."--Daron Acemoglu, professor of economics at MIT and
co-author of Why Nations Fail
"Page explains the value of applying several models to a single
problem, and then provides a conceptual toolkit for doing so. His
book is a labor of love."--Art Friedman, co-author of Quantum
Mechanics
"Scott Page's The Model Thinker is a deeper dive into the theory of
mental models and the math behind them. Page is a professor at the
University of Michigan, and his book explores mental models in a
wonderful way."--Tomasz Tunguz
"The clarity of Scott's thinking has been awing me since our days
together as doctoral students at Kellogg. Beautifully written, this
book teaches us how to stay logical, coherent and effective at work
and at life more broadly--amidst a world awash in ever more data,
distraction and complexity."--Sally Blount, former dean of the
Kellogg School of Management at Northwestern University
"This book offers a remarkably comprehensive and insightful
introduction to mathematical models in the social sciences, written
by one who is a master of the field and a brilliant
teacher."--Roger Myerson, Winner of the Nobel Memorial Prize in
Economic Sciences (2007) and Glen A. Lloyd Distinguished Service
Professor of Economics at the University of Chicago
"With the exception of physics, science--and particularly the
social sciences--currently resides in a liminal period
characterized by hints of universal principles and the tantalizing
possibility of robust prediction. In this accessible and pragmatic
book, Page persuasively shows us how in these transition periods we
can use the wisdom of crowds to improve our decision-making. The
twist is that the 'crowd' is not made of individuals but of
well-chosen models each of which offers a different window on the
world."--Jessica Flack, professor at the Santa Fe Institute and
director of the Collective Computation Group
Choice award for outstanding academic title
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