Network Science In Education
Transformational Approaches in Teaching and Learning
Edited by
Catherine B. Cramer, Mason A. Porter, Hiroki Sayama, Lori Sheetz, Stephen Miles Uzzo

Source: link.springer.com

Applied Big History: A Guide for Entrepreneurs, Investors, and Other Living Things (9781719853071): William Grassie: Amazon Books

 

Foreword by Mitch Julis, Canyon Partners

 

1. Thriving in a Complex World
2. The Great Matrix
3. The Economy of a Single Cell
4. Complexity Economics
5. Death and Taxes
6. Your Hunter-Gatherer Brain
7. The Big Lollapaloozas
8. Existential Challenges
9. The Bottom Line

Source: www.amazon.com

A look inside the algorithms that are shaping our lives and the dilemmas they bring with them.

If you were accused of a crime, who would you rather decide your sentence―a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many lives as possible and another that prioritizes the lives of its own passengers? And would you agree to share your family’s full medical history if you were told that it would help researchers find a cure for cancer?

These are just some of the dilemmas that we are beginning to face as we approach the age of the algorithm, when it feels as if the machines reign supreme. Already, these lines of code are telling us what to watch, where to go, whom to date, and even whom to send to jail. But as we rely on algorithms to automate big, important decisions―in crime, justice, healthcare, transportation, and money―they raise questions about what we want our world to look like. What matters most: Helping doctors with diagnosis or preserving privacy? Protecting victims of crime or preventing innocent people being falsely accused?

Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvement on the human systems they replace.

Source: www.amazon.com

This book explores fascinating topics at the edge of life, guiding the reader all the way from the relation of life processes to the second law of thermodynamics and the abundance of complex organic compounds in the universe through to the latest advances in synthetic biology and metabolic engineering. The background to the book is the extraordinary scientific adventures that are being undertaken as progress is made toward the creation of an artificial cell and the control of life processes. This journey involves input from research areas as diverse as genetic engineering, physical chemistry, and information theory. Life is to be thought of not only as a chemical event but also as an information process, with the genome a repository of information gathered over time through evolution. Knowledge of the mechanisms affecting the increase in complexity associated with evolutionary paths is improving, and there appear to be analogies with the evolution of the technologies promoting the development of our society. The book will be of wide interest to students at all levels and to others with an interest in the subject.

Source: www.amazon.com

To understand something, you need to know its history. Right? Wrong, says Alex Rosenberg in How History Gets Things Wrong. Feeling especially well-informed after reading a book of popular history on the best-seller list? Don’t. Narrative history is always, always wrong. It not just incomplete or inaccurate but deeply wrong, as wrong as Ptolemaic astronomy. We no longer believe that the earth is the center of the universe. Why do we still believe in historical narrative? Our attachment to history as a vehicle for understanding has a long Darwinian pedigree and a genetic basis. Our love of stories is hard-wired. Neuroscience reveals that human evolution shaped a tool useful for survival into a defective theory of human nature.

Stories historians tell, Rosenberg continues, are not only wrong but harmful. Israel and Palestine, for example, have dueling narratives of dispossession that prevent one side from compromising with the other. Henry Kissinger applied lessons drawn from the Congress of Vienna to American foreign policy with disastrous results. Human evolution improved primate mind reading―the ability to anticipate the behavior of others, whether predators, prey, or cooperators―to get us to the top of the African food chain. Now, however, this hard-wired capacity makes us think we can understand history―what the Kaiser was thinking in 1914, why Hitler declared war on the United States―by uncovering the narratives of what happened and why. In fact, Rosenberg argues, we will only understand history if we don’t make it into a story.

Source: www.amazon.com