NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Philip Auerswald

George Mason University
3351 Fairfax Dr., MS 3B1
Arlington, Virginia 22201
Tel: 202 364-8464

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NBER Working Papers and Publications

April 2014Algorithms and the Changing Frontier
with Hezekiah Agwara, Brian Higginbotham: w20039
We first summarize the dominant interpretations of the "frontier" in the United States and predecessor colonies over the past 400 years: agricultural (1610s-1880s), industrial (1890s-1930s), scientific (1940s- 1980s), and algorithmic (1990s-present). We describe the difference between the algorithmic frontier and the scientific frontier. We then propose that the recent phenomenon referred to as "globalization" is actually better understood as the progression of the algorithmic frontier, as enabled by standards that in turn have facilitated the interoperability of firm-level production algorithms. We conclude by describing implications of the advance of the algorithmic frontier for scientific discovery and technological innovation.

Published: Algorithms and the Changing Frontier, Hezekiah Agwara, Philip Auerswald, Brian Higginbotham. in The Changing Frontier: Rethinking Science and Innovation Policy, Jaffe and Jones. 2015

October 2013Algorithms and the Changing Frontier
with Hezekiah Agwara, Brian Higginbotham
in The Changing Frontier: Rethinking Science and Innovation Policy, Adam B. Jaffe and Benjamin F. Jones, editors
The notion of the "frontier" has changed from being a geographical one, to one that delineates the pursuit and production of scientific knowledge. We first summarize the dominant interpretations of the "frontier" in the United States and predecessor colonies over the past 400 years: agricultural (1610s-1880s), industrial (1890s-1930s), scientific (1940s-1980s), and algorithmic (1990s-present). We describe the difference between the algorithmic frontier and the scientific frontier. We then propose that the recent phenomenon referred to as "globalization" is actually better understood as the progression of the algorithmic frontier, as enabled by standards that in turn have facilitated the interoperability of firm-level production algorithms. We conclude by describing implications of the adva...
 
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