Thomas Piketty's Capital in the Twenty-First Century is the most widely discussed work of economics in recent history, selling millions of copies in dozens of languages. But are its analyses of inequality and economic growth on target? Where should researchers go from here in exploring the ideas Piketty pushed to the forefront of global conversation? A cast of economists and other social scientists tackle these questions in dialogue with Piketty, in what is sure to be a much-debated book in its own right.

Adam Smith and Karl Marx recognized that the best way to understand the economy is to study the most advanced practice of production. Today that practice is no longer conventional manufacturing: it is the radically innovative vanguard known as the knowledge economy.

Since the Middle Ages, literature has portrayed the economic world in poetry, drama, stories and novels. The complexity of human realities highlights crucial aspects of the economy. The nexus linking characters to their economic environment is central in a new genre, the "economic novel", that puts forth economic choices and events to narrate social behavior, individual desires, and even non-economic decisions.

Surviving the Future is a story drawn from the fertile ground of the late David Fleming's extraordinary 'Lean Logic: A Dictionary for the Future and How to Survive It'. That hardback consists of four hundred and four interlinked dictionary entries, inviting readers to choose their own path through its radical vision. Recognizing that Lean Logic's sheer size and unusual structure can be daunting, Fleming's long-time collaborator Shaun Chamberlin has selected and edited one of these potential narratives to create Surviving the Future. The content, rare insights, and uniquely enjoyable writing style remain Fleming's, but are presented here at a more accessible paperback-length and in conventional read-it-front-to-back format

In a span of around 12 weeks, the course covers a wide range of topics including agent-based modeling, networks, dynamic, chaos, information, fractals, cooperation models and scaling in biology and society. The course acts as a perfect beginner level introduction spanning a wide range of topics in the field of complexity.