Publisher's Summary:

How the principles of biological innovation can help us overcome creative challenges in art, business, and science

In Life Finds a Way, biologist Andreas Wagner reveals the deep symmetry between innovation in biological evolution and human cultural creativity. Rarely is either a linear climb to perfection–instead, “progress” is typically marked by a sequence of peaks, plateaus, and pitfalls. For instance, in Picasso’s forty-some iterations of Guernica, we see the same combination of small steps, incessant reshuffling, and large, almost reckless, leaps that characterize the way evolution transformed a dinosaur’s grasping claw into a condor’s soaring wing. By understanding these principles, we can also better realize our own creative potential to find new solutions to adversity.

Ultimately, Life Finds a Way offers a new framework for the nature of creativity, enabling us to better adapt, grow, and change in art, business, or science–that is, in life.

Publisher's description:

Misconduct by those in high places is always dangerous to reveal. Whistleblowers thus face conflicting impulses: by challenging and exposing transgressions by the powerful, they perform a vital public service—yet they always suffer for it. This episodic history brings to light how whistleblowing, an important but unrecognized cousin of civil disobedience, has held powerful elites accountable in America.
 
Analyzing a range of whistleblowing episodes, from the corrupt Revolutionary War commodore Esek Hopkins (whose dismissal led in 1778 to the first whistleblower protection law) to Edward Snowden, to the dishonesty of Donald Trump, Allison Stanger reveals the centrality of whistleblowing to the health of American democracy. She also shows that with changing technology and increasing militarization, the exposure of misconduct has grown more difficult to do and more personally costly for those who do it—yet American freedom, especially today, depends on it.

Publisher's Summary:

Shadows of Doubt reveals how deeply stereotypes distort our interactions, shape crime, and deform the criminal justice system.

If you’re a robber, how do you choose your victims? As a police officer, how afraid are you of the young man you’re about to arrest? As a judge, do you think the suspect in front of you will show up in court if released from pretrial detention? As a juror, does the defendant seem guilty to you? Your answers may depend on the stereotypes you hold, and the stereotypes you believe others hold. In this provocative, pioneering book, economists Brendan O’Flaherty and Rajiv Sethi explore how stereotypes can shape the ways crimes unfold and how they contaminate the justice system through far more insidious, pervasive, and surprising paths than we have previously imagined.

Crime and punishment occur under extreme uncertainty. Offenders, victims, police officers, judges, and jurors make high-stakes decisions with limited information, under severe time pressure. With compelling stories and extensive data on how people act as they try to commit, prevent, or punish crimes, O’Flaherty and Sethi reveal the extent to which we rely on stereotypes as shortcuts in our decision making.

Sometimes it’s simple: Robbers tend to target those they stereotype as being more compliant. Other interactions display a complex and sometimes tragic interplay of assumptions: “If he thinks I’m dangerous, he might shoot. I’ll shoot first.” Shadows of Doubt shows how deeply stereotypes are implicated in the most controversial criminal justice issues of our time, and how a clearer understanding of their effects can guide us toward a more just society.

Publisher's Summary:

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.

Publisher's summary:

The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.

Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks.

The EvoEvo project was a 2013–2017 FP7 European project aiming at developing new evolutionary approaches in information science and producing novel algorithms based on the current understanding of molecular and evolutionary biology, with the ultimate goals of addressing open-ended problems in which the specifications are either unknown or too complicated to express, and of producing software able to operate even in unpredictable, varying conditions. Here we present the main rationals of the EvoEvo project and propose a set of design rules to evolve adaptive software systems.

Publisher's Summary:

Is wealth inequality a universal feature of human societies, or did early peoples live an egalitarian existence? How did inequality develop before the modern era? Did inequalities in wealth increase as people settled into a way of life dominated by farming and herding? Why in general do such disparities increase, and how recent are the high levels of wealth inequality now experienced in many developed nations? How can archaeologists tell?

Ten Thousand Years of Inequality addresses these and other questions by presenting the first set of consistent quantitative measurements of ancient wealth inequality. The authors are archaeologists who have adapted the Gini index, a statistical measure of wealth distribution often used by economists to measure contemporary inequality, and applied it to house-size distributions over time and around the world. Clear descriptions of methods and assumptions serve as a model for other archaeologists and historians who want to document past patterns of wealth disparity.

The chapters cover a variety of ancient cases, including early hunter-­gatherers, farmer villages, and agrarian states and empires. The final chapter synthesizes and compares the results. Among the new and notable outcomes, the authors report a systematic difference between higher levels of inequality in ancient Old World societies and lower levels in their New World counterparts.

For the first time, archaeology allows humanity’s deep past to provide an account of the early manifestations of wealth inequality around the world.

This book is a comprehensive introduction to quantitative approaches to complex adaptive systems. Practically all areas of life on this planet are constantly confronted with complex systems, be it ecosystems, societies, traffic, financial markets, opinion formation and spreading, or the internet and social media. Complex systems are systems composed of many elements that interact strongly with each other, which makes them extremely rich dynamical systems showing a huge range of phenomena. Properties of complex systems that are of particular importance are their efficiency, robustness, resilience, and proneness to collapse.

The quantitative tools and concepts needed to understand the co-evolutionary nature of networked systems and their properties are challenging. The book gives a self-contained introduction to these concepts, so that the reader will be equipped with a toolset that allows them to engage in the science of complex systems. Topics covered include random processes of path-dependent processes, co-evolutionary dynamics, dynamics of networks, the theory of scaling, and approaches from statistical mechanics and information theory. The book extends beyond the early classical literature in the field of complex systems and summarizes the methodological progress made over the past 20 years in a clear, structured, and comprehensive way.

Publisher's Summary:

This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. 

The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.

Like many other sciences, archaeology is experiencing a data deluge. The recent accumulation of accessible data on early urban societies, coupled with the re-emergence of comparative studies, puts modern scholars in a position to make significant theoretical advances concerning the key episode of human social organization that provided the foundations of the contemporary world: the formation of the state.

A complex systems approach—pioneered at the Santa Fe Institute—involves fully interdisciplinary explorations of long-debated questions. Can basic quantitative analysis of human social evolution reveal macrocultural processes? Can we understand social cohesion by way of cultural genotypes? And does the emergence of social complexity involve the creation of new potential or the realization of latent human capabilities?

In this volume, many of the foremost experts in quantitative archaeology and anthropology leverage innovative methodologies—including agent-based modeling, network analysis, and theoretical applications of evolutionary biology—to push the field in new directions.

Publisher summary:

The book provides a comprehensive introduction and a novel mathematical foundation of the field of information geometry with complete proofs and detailed background material on measure theory, Riemannian geometry and Banach space theory.  Parametrised measure models are defined as fundamental geometric objects, which can be both finite or infinite dimensional. Based on these models, canonical tensor fields are introduced and further studied, including the Fisher metric and the Amari-Chentsov tensor, and embeddings of statistical manifolds are investigated.

This novel foundation then leads to application highlights, such as generalizations and extensions of the classical uniqueness result of Chentsov or the Cramér-Rao inequality.  Additionally, several new application fields of information geometry are highlighted, for instance hierarchical and graphical models, complexity theory, population genetics, or Markov Chain Monte Carlo. 

The book will be of interest to mathematicians who are interested in geometry, information theory, or the foundations of statistics, to statisticians as well as to scientists interested in the mathematical foundations of complex systems.

Publisher's Summary:

One of America’s foremost philosophers offers a major new account of the origins of the conscious mind.

How did we come to have minds?

For centuries, this question has intrigued psychologists, physicists, poets, and philosophers, who have wondered how the human mind developed its unrivaled ability to create, imagine, and explain. Disciples of Darwin have long aspired to explain how consciousness, language, and culture could have appeared through natural selection, blazing promising trails that tend, however, to end in confusion and controversy. Even though our understanding of the inner workings of proteins, neurons, and DNA is deeper than ever before, the matter of how our minds came to be has largely remained a mystery.

That is now changing, says Daniel C. Dennett. In From Bacteria to Bach and Back, his most comprehensive exploration of evolutionary thinking yet, he builds on ideas from computer science and biology to show how a comprehending mind could in fact have arisen from a mindless process of natural selection. Part philosophical whodunit, part bold scientific conjecture, this landmark work enlarges themes that have sustained Dennett’s legendary career at the forefront of philosophical thought.

In his inimitable style―laced with wit and arresting thought experiments―Dennett explains that a crucial shift occurred when humans developed the ability to share memes, or ways of doing things not based in genetic instinct. Language, itself composed of memes, turbocharged this interplay. Competition among memes―a form of natural selection―produced thinking tools so well-designed that they gave us the power to design our own memes. The result, a mind that not only perceives and controls but can create and comprehend, was thus largely shaped by the process of cultural evolution.

What is history anyway? Most people would say it’s what happened in the past, but how far back does the past extend? To the first written sources? To what other forms of evidence reveal about pre-literate civilizations? What does that term mean—an empire, a nation, a city, a village, a family, a lonely hermit somewhere? Why stop with people: shouldn’t history also comprise the environment in which they exist, and if so on what scale and how far back? And as long as we’re headed in that direction, why stop with the earth and the solar system? Why not go all the way back to the Big Bang itself?

There’s obviously no consensus on how to answer these questions, but even asking them raises another set of questions about history: who should be doing it? Traditionally trained historians, for whom archives are the only significant source? Historians willing to go beyond archives, who must therefore rely on, and to some extent themselves become, psychologists, sociologists, anthropologists, archeologists? But if they’re also going to take environments into account, don’t they also have to know something about climatology, biology, paleontology, geology, and even astronomy? And how can they do that without knowing some basic physics, chemistry, and mathematics?

This inaugural volume of the SFI Press (the new publishing arm of the Santa Fe Institute) attempts to address these questions via thoughtful essays on history written by distinguished scholars—including Nobel laureate Murray Gell-Mann—from across a wide range of fields.

Publisher summary:

How do people living in small groups without money, markets, police and rigid social classes develop norms of economic and social cooperation that are sustainable over time? This book addresses this fundamental question and explains the origin, structure and spread of stateless societies. Using insights from game theory, ethnography and archaeology, Stanish shows how ritual - broadly defined - is the key. Ritual practices encode elaborate rules of behavior and are ingenious mechanisms of organizing society in the absence of coercive states. As well as asking why and how people choose to co-operate, Stanish also provides the theoretical framework to understand this collective action problem. He goes on to highlight the evolution of cooperation with ethnographic and archaeological data from around of the world. Merging evolutionary game theory concepts with cultural evolutionary theory, this book will appeal to those seeking a transdisciplinary approach to one of the greatest problems in human evolution.

Publisher summary:

What if workforce diversity is more than simply the right thing to do in order to make society more integrated and just? What if diversity can also improve the bottom line of businesses and other organizations facing complex challenges in the knowledge economy? It can. And The Diversity Bonus shows how and why.

Scott Page, a leading thinker, writer, and speaker whose ideas and advice are sought after by corporations, nonprofits, universities, and governments around the world, makes a clear and compellingly pragmatic case for diversity and inclusion. He presents overwhelming evidence that teams that include different kinds of thinkers outperform homogenous groups on complex tasks, producing what he calls “diversity bonuses.” These bonuses include improved problem solving, increased innovation, and more accurate predictions—all of which lead to better performance and results.

Page shows that various types of cognitive diversity—differences in how people perceive, encode, analyze, and organize the same information and experiences—are linked to better outcomes. He then describes how these cognitive differences are influenced by other kinds of diversity, including racial and gender differences—in other words, identity diversity. Identity diversity, therefore, can also produce bonuses.

Drawing on research in economics, psychology, computer science, and many other fields, The Diversity Bonus also tells the stories of people and organizations that have tapped the power of diversity to solve complex problems. And the book includes a challenging response from Katherine Phillips of the Columbia Business School.

The result changes the way we think about diversity in the workplace—and far beyond it.

Publisher's Summary:

Visionary physicist Geoffrey West is a pioneer in the field of complexity science, the science of emergent systems and networks. The term “complexity” can be misleading, however, because what makes West’s discoveries so beautiful is that he has found an underlying simplicity that unites the seemingly complex and diverse phenomena of living systems, including our bodies, our cities and our businesses.

Fascinated by aging and mortality, West applied the rigor of a physicist to the biological question of why we live as long as we do and no longer. The result was astonishing, and changed science: West found that despite the riotous diversity in mammals, they are all, to a large degree, scaled versions of each other. If you know the size of a mammal, you can use scaling laws to learn everything from how much food it eats per day, what its heart-rate is, how long it will take to mature, its lifespan, and so on. Furthermore, the efficiency of the mammal’s circulatory systems scales up precisely based on weight: if you compare a mouse, a human and an elephant on a logarithmic graph, you find with every doubling of average weight, a species gets 25% more efficient—and lives 25% longer. Fundamentally, he has proven, the issue has to do with the fractal geometry of the networks that supply energy and remove waste from the organism’s body.

West’s work has been game-changing for biologists, but then he made the even bolder move of exploring his work’s applicability. Cities, too, are constellations of networks and laws of scalability relate with eerie precision to them. Recently, West has applied his revolutionary work to the business world. This investigation has led to powerful insights into why some companies thrive while others fail. The implications of these discoveries are far-reaching, and are just beginning to be explored. Scale is a thrilling scientific adventure story about the elemental natural laws that bind us together in simple but profound ways. Through the brilliant mind of Geoffrey West, we can envision how cities, companies and biological life alike are dancing to the same simple, powerful tune.

Publisher's Summary:

Info-metrics is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. The Foundations of Info-Metrics examines the theoretical underpinning of info-metrics and provides extensive interdisciplinary applications.

Publishers summary:

What constitutes the study of philosophy or physics? What exactly does an anthropologist do, or a geologist or historian? In short, what are the arts and sciences? While many of us have been to college and many aspire to go, we may still wonder just what the various disciplines represent and how they interact. What are their origins, methods, applications, and unique challenges? What kind of people elect to go into each of these fields, and what are the big issues that motivate them? Curious to explore these questions himself, Dartmouth College professor and mathematician Dan Rockmore asked his colleagues to explain their fields and what it is that they do. The result is an accessible, entertaining, and enlightening survey of the ideas and subjects that contribute to a liberal education. The book offers a doorway to the arts and sciences for anyone intrigued by the vast world of ideas.

Publisher's Summary:

A top expert explains why a social and economic understanding of complex systems will help society to anticipate and confront our biggest challenges

Imagine trying to understand a stained glass window by breaking it into pieces and examining it one shard at a time. While you could probably learn a lot about each piece, you would have no idea about what the entire picture looks like. This is reductionism--the idea that to understand the world we only need to study its pieces--and it is how most social scientists approach their work.

In A Crude Look at the Whole, social scientist and economist John H. Miller shows why we need to start looking at whole pictures. For one thing, whether we are talking about stock markets, computer networks, or biological organisms, individual parts only make sense when we remember that they are part of larger wholes. And perhaps more importantly, those wholes can take on behaviors that are strikingly different from that of their pieces.

Miller, a leading expert in the computational study of complex adaptive systems, reveals astounding global patterns linking the organization of otherwise radically different structures: It might seem crude, but a beehive's temperature control system can help predict market fluctuations and a mammal's heartbeat can help us understand the "heartbeat" of a city and adapt urban planning accordingly. From enduring racial segregation to sudden stock market disasters, once we start drawing links between complex systems, we can start solving what otherwise might be totally intractable problems.

Thanks to this revolutionary perspective, we can finally transcend the limits of reductionism and discover crucial new ideas. Scientifically founded and beautifully written, A Crude Look at the Whole is a powerful exploration of the challenges that we face as a society. As it reveals, taking the crude look might be the only way to truly see.

Publisher's Summary:

Why does modern life revolve around objectives? From how science is funded, to improving how children are educated -- and nearly everything in-between -- our society has become obsessed with a seductive illusion: that greatness results from doggedly measuring improvement in the relentless pursuit of an ambitious goal. In Why Greatness Cannot Be Planned, Stanley and Lehman begin with a surprising scientific discovery in artificial intelligence that leads ultimately to the conclusion that the objective obsession has gone too far. They make the case that great achievement can't be bottled up into mechanical metrics; that innovation is not driven by narrowly focused heroic effort; and that we would be wiser (and the outcomes better) if instead we whole-heartedly embraced serendipitous discovery and playful creativity.

Controversial at its heart, yet refreshingly provocative, this book challenges readers to consider life without a destination and discovery without a compass.