Title: The Model Thinker Pdf What You Need to Know to Make Data Work for You
Author: Scott E. Page
Published Date: 2018-11-27
Page: 448
"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 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.
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.
A very important book for any thinker or leader 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!think outside the box inside the model Scott Page is a political scientist, but he's perhaps become best known as an advocate of social science models. This book is a great guide to models, why they're useful, and how that can help in your work. The models range from relatively simple game theoretic concepts and collective action problems to Markov chains and networks. Page manages to make all of this accessible to readers without dumbing the concepts down. This is one of those books that you might read through once, but will probably better serve you as a reference book you'll consult every once in a while if and when you encounter new problems. Recommended for anyone dealing with data professionally.[Note: I received a complimentary copy of this book in exchange for an honest review]Great insight with practical use - solid book to reference 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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