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Annual Business Network and Board of Trustees Symposium: Money and Currency: Past, Present, and Future

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Held At Inn and Spa at Loretto, 228 E. Palace Ave., Santa Fe, NM

November 12-14, 2015

Co-organized with: David Krakauer, SFI President; Bill Miller, Chair Emeritus, SFI Board of Trustees and Chairman/CIO of LMM, LLC.; Michael Mauboussin, Chair, SFI Board of Trustees and Managing Director/Head of Global Financial Strategies at Credit Suisse; Chris Wood, SFI VP of Administration and Director of the Business Network



"Money and Currency: Past, Present, and Future"

There are few ubiquitous elements of the modern world as necessary, compelling and mysterious as money. At its simplest, money makes exchange possible — money overcomes the many limitations of barter. Money generates the time and space for specialization, diversity, cooperation, and of course complexity.

From the perspective of complexity science, money is one of the core mechanisms that connects local decision making to global order. Money is a form of communication that allows for the operation of fundamental structuring processes in an economy -- including at the one end the invisible hand of the market and at the other end, the regulatory powers of government. And markets and market prices “emerge" through individual competition for products.

Modern currencies touch a broad range of core complexity issues to include: emergence, networks of exchange, scaling theory, decision theory,the theory of inequality, communication theory, encryption, and computational complexity. Layered around the concept of money we find the field of complexity science.

This symposium will introduce the history and diversity of currencies and how they function as mechanisms of exchange, explore the mechanics of money through the insights of complexity science, explore the implication of modern crypto-currencies for the running and effectiveness of business, and address core problems facing business that can be solved through a deeper understanding of modern crypto currencies and the application of complexity tools and principles.