Recommended Reading


Quantifying Life: A Symbiosis of Computation, Mathematics, and Biology

Dmitry A. Kondrashov

Statistical Rethinking: A Bayesian Course with Examples in R and Stan

Richard McElreath

The Drunkard’s Walk: How Randomness Rules Our Lives

Leonard Mlodinow

Naked Statistics: Stripping The Dread From The Data

Charles Wheelan

Predictably Irrational: The Hidden Forces That Shape Our Decisions

Dan Ariely

Wild Minds: What Animals Really Think

Marc D. Hauser

Sapiens: A Brief History of Humankind

Yuval Noah Harari

Mathematics for the Life Sciences

Erin N. Bodine

Suzanne Lenhart

Louis J. Gross

Introduction To Scientific Programming and Simulation Using R

Owen Jones

Robert Maillardet

Andrew Robinson

Algorithms To Live By: The Computer Science Of Human Decisions

Brian Christian

Computational Modeling of Behavior in Organizations

Daniel R. Ilgen

Charles L. Hulin

The Invisible Gorilla: How Our Intuitions Deceive Us

Christopher Chabris

Daniel Simons

This Will Change Everything: Ideas That Will Shape The Future

Edited By John Brockman

Once Upon an Algorithm: How Stories Explain Computing

Martin Erwig

Big Data: A Revolution That Will Transform How We Live, Work, and Think

Viktor Mayer-Schonberger

Kenneth Cukier

Scientific Reasoning: The Bayesian Approach

Colin Howson

Peter Urbach

Mindwise: How We Understand What Others Think, Believe, Feel, and Want

Nicholas Epley

Sex At Dawn: How We Mate, Why We Stay, and What It Means for Modern Relationships

Christopher Ryan

Cacilda Jetha

Statistical Regression and Classification: From Linear Models to Machine Learning

Norman Matloff

Made to Stick: Why Some Ideas Survive and Others Die

Chip Heath

Dan Heath

On Writing Well: The Classic Guide to Writing Nonfiction

William Zinsser

The Ball: Discovering the Object of the Game

John Fox

The Ravenous Brain: How The New Science of Consciousness Explains Our Insatiable Search For Meaning

Daniel Bor

Matrices and Society: Matrix Algebra and Its Applications in the Social Sciences

Ian Bradley

Ronald L. Meek

The Beginning Of Infinity: Explanations That Transform The World

David Deutsch

Mindsharing: The Art Of Crowdsourcing Everything

Lior Zoref

Doing Bayesian Data Analysis: A Tutorial with R, Jags, and Stan

John K. Kruschke

Homo Deus: A Brief History of Tomorrow

Yuval Noah Harari

The Moral Landscape: How Science Can Determine Human Values

Sam Harris

Work Motivation: Past, Present, and Future

Ruth Kanfer

Gilad Chen

Robert D. Pritchard

Randomization, Bootstrap, and Monte Carlo Methods in Biology

Bryan F.J. Manly


Steven D. Levitt

Stephen J. Dubner

Our Mathematical Universe: My Quest for the Ultimate Nature of Reality

Max Tegmark

Foundational and Applied Statistics for Biologists Using R

Ken A. Aho

Computational Social Psychology

Robin R. Vallacher

Stephen J. Read

Andrzej Nowak

Structural Equations With Latent Variables

Kenneth A. Bollen

Switch: How To Change Things When Change Is Hard

Chip Heath

Dan Heath

The Seven Pillars of Statistical Wisdom

Stephen M. Stigler

YaRrr: A Pirate’s Guide to R

Nathaniel D. Phillips

What Should We Be Worried About? Real Scenarios That Keep Scientists Up at Night

Edited by John Brockman

Stumbling on Happiness

Daniel Gilbert

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham

Garrett Grolemund

Brain Bugs: How The Brain’s Flaws Shape Our Lives

Dean Buonomano

The Empire of Chance: How Probability Changed Science and Everyday Life

Gerd Gigerenzer

Zeno Swijtink

Theodore Porter

Lorraine Daston

John Beatty

Lorenz Kruger

ggplot2: Elegant graphics for data analysis

Hadley Wickham

Ten Great Ideas About Chance

Persi Diaconis

Brian Skyrms

This Idea Must Die: Scientific Theories That Are Blocking Progress

Edited by John Brockman