Download The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page

Download The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page

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The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page

Download The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page

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Review

"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"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"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"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 "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

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About the Author

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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Product details

Hardcover: 448 pages

Publisher: Basic Books (November 27, 2018)

Language: English

ISBN-10: 0465094627

ISBN-13: 978-0465094622

Product Dimensions:

6.4 x 1.7 x 9.6 inches

Shipping Weight: 1.2 pounds (View shipping rates and policies)

Average Customer Review:

4.9 out of 5 stars

11 customer reviews

Amazon Best Sellers Rank:

#4,487 in Books (See Top 100 in Books)

In this well-organized and well-edited book, Page clearly demonstrates why his course in Coursera is a hugely popular one. Anyone who has to deal with (or would like a more formal approach for thinking about) strategy, policy, processes, or systems will significantly benefit from this book. One could argue that the models presented are not new - and thats true; what is beneficial to the reader is the well-orchestrated progression of types of models and their assumptions, structure, limitations and examples.Page first makes a well-reasoned plea in favor of approaching any problem with a diverse set of models - each have various assumptions and may therefore implicitly capture (or discard) certain aspects of the system. After motivating the reader with basics of distributions, Page covers an extensive range of models ( a glimpse of the table of contents is sufficient for a potential reader to understand that various modeling techniques and learning mechanisms are covered). Page uses a variety of examples drawn from various domains, though skewed to policy/social sciences. The common theme is mostly "think strategically, in a tractable, explainable way'. The earlier chapters discussing aspects of a model in itself is a useful discussion. The book's organization largely follows his approach in his online course – a “visit to the zoo” - the order in which you visit the exhibits is not that crtitical (nor is this is a book to be necessarily read linearly).While the editing of the book is excellent (no extraneous information, fillers), the book is essentially a text book or a reference source. A student in engineering, political sciences, business/management and any practitioner in these fields will benefit from this book. Most of the content (if not all) is available for free in slightly different formats via his course. However, the utility of having a well-produced book that one can leaf through and pick models to investigate is a huge bonus. There are some changes that makes the content more streamlined too. One wishes there were more examples or challenges to the reader as a "homework'. Nevertheless, this is a must-have book for any one interested in modeling strategic and operational decisions and informatics/machine learning students.(Review Based on an ARC via NetGalley)

the most important thing to know about this 'textbook-like' work is that it takes the 'many model/ensemble' approach very, very seriously and pushes readers hard to think through the fundamentals of how they want to get value from their data....that said, page does an excellent job of addressing/describing those fundamentals....speaking as someone whose exposure to 'model building' came from horribly taught 'econometrics' classes and computationally-intensive engineering classes, i think page's approach far better than what i see in most university econ/engineering curricula.....and, honestly, this would be a terrific text for aspiring MBAs/execMBAs with 'equation-free' educations.....

I have been waiting for this book for 20 years. Too often, leaders of businesses and nonprofits are unaware of the many ways of seeing the world, of using different lenses. The book is not just about data and (clearly described, intuitive) math, it is about thinking logically and better understanding every aspect of the world. It should go beside Lars Skyttner's book on Systems Theory and the books Turning Numbers into Knowledge and Data Science for Business on the thinking person's bookshelf. It is never too late to exercise your brain!

Great book for anyone to read. You might also consider taking the MOOC Modeling Thinking course -- the two go really well together!

At first I thought this was an odd, over the top skim that lacked real meat. But as the author surveys more methods and starts to contrast them, the book turns into a sort of dictionary of models. It can serve as an important reference to anyone who builds models, especially as a source of alternatives, ways to branch out and look at your data in a new way, to see the strengths and limitations of methods you may be using -- or intend to use -- as defaults. The coverage is so broad, that even veterans may find new perspectives.

I’ve been a huge fan of the author. I watched several of his lecture series on Coursera and The Great Courses. The man is a genius. And this book opened my eyes to a whole new way of looking at the world. A must read.

Well written, very crafted design in the structure, carefully balanced between math formulas, intuition insight, and practical applications. Very unique in its kind.

Excellent book that has practical use.It covers many great topics and models for dealing with complex systems, such as convexity, game theory, network models, etc.Well worth a read and as a reference for future work.

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