The Model Thinker: What You Need to Know to Make Data Work for You

Front Cover
Basic Books, Nov 27, 2018 - Computers - 448 pages
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.

From the stock market to genomics laboratories, 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. 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.
 

Contents

Cover Title Page Copyright Dedication Epigraph Preface
Prologue
The ManyModel Thinker
Why Model?
The Science of Many Models
Modeling Human Actors
The Bell Curve
Long Tails
Markov Models
Systems Dynamics Models
Threshold Models with Feedbacks
Spatial and Hedonic Choice
Game Theory Models Times Three 22 Models of Cooperation
Collective Action Problems
Mechanism Design
Signaling Models

Linear Models
Concavity and Convexity
Models of Value and Power
Network Models
Broadcast Diffusion and Contagion
Modeling Uncertainty
Random Walks
Path Dependence
Local Interaction Models
Lyapunov Functions and Equilibria
Learning Models
MultiArmed Bandit Problems
RuggedLandscape Models
Opioids COVID19 and Inequality
Discover More About the Author
Praise for The Model Thinker
Notes
Bibliography
Copyright

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About the author (2018)

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.

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