Founding Economist

Dr. Stephanie Hurder

About 

Dr. Stephanie Hurder

Dr. Stephanie Hurder is a Partner and Founding Economist of Prysm Group. Dr. Hurder’s work combines tools from cutting-edge economics research with emerging technologies expertise to design successful incentive-compatible digital economies. Dr. Hurder has led economic advisory projects for Fortune 500 companies and leading startups backed by funds including Andreessen Horowitz, Google Ventures, Sequoia, Union Square Ventures, Y Combinator and more. She has been a member of the Program Committees of the Crypto Economics Security Conference and Financial Cryptography, an academic advisor to blockchain projects at the World Economic Forum, and an Opinion Columnist for CoinDesk, where she writes a column on the economics of emerging technologies. Dr. Hurder is a former management consultant at the Boston Consulting Group and academic researcher at the MIT Sloan School of Management.

Dr. Hurder regularly presents her work and research relating to economics and emerging technologies, which has included talks at the Federal Reserve Bank of Cleveland, the IBM Columbia University Blockchain Accelerator, the Simons Institute at UC Berkeley, Stanford University, SXSW, and the University of Cambridge. Dr. Hurder received an AB in Mathematics Phi Beta Kappa and magna cum laude, an AM in Economics, and a Ph.D. in Business Economics from Harvard University, where she was advised by Professors Claudia Goldin and Nobel Laureate Al Roth.

Recent speaking appearances include Consensus, IBM Blockchain Accelerator, Polychain Capital, and SXSW

A Framework for the New Economies of Blockchain: The Prysm Group House
Dr. Stephanie Hurder outlines a structure for incentive-compatible economic design for blockchain networks.

Unlocking the Value of Blockchain Technology
Dr. Stephanie Hurder and Dr. Preston McAfee discuss how economics have empowered breakthrough technologies at SXSW in Austin, TX.

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Featured Insights

Network Effects for Emerging Technologies

This report provides a framework detailing the types of network effects that exist, and discusses bootstrapping techniques and equilibrium dynamics commonly associated with network effects.

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