Jon Schmid

Jon Schmid

Senior Political Scientist

Expertise

Jon Schmid is a political scientist at RAND. He specializes in the measurement and assessment of technological innovation and scientific progress. Schmid's current research focuses on net technical assessment, strategic competition, global STEM talent, and defense innovation. In addition to his work at RAND, he teaches courses on the economics of science and technology at Carnegie Mellon University. He received his Ph.D. in international affairs, science, and technology from Georgia Tech, where his dissertation focused on the determinants of military technology innovation and diffusion.

Education

Ph.D. in science, technology and international affairs, Georgia Institute of Technology (Georgia Tech); M.S. in finance, George Washington University; B.A. in economics, American University; B.A. in international affairs, American University

Languages

Spanish (fluent)

Selected Work

  • Schmid, Jon, Bonnie L. Triezenberg, James Dimarogonas, and Samuel Absher, "The Role of Standards in Fostering Capability Evolution: Does Design Matter? Insights from Interoperability Standards," Defence and Peace Economics, 2022
  • Jon Schmid and Seokbeom Kwon, "Collaboration in innovation: An empirical test of Varieties of Capitalism," Technological Forecasting and Social Change, 2020
  • Jon Schmid and Ayodeji Fajebe, "Variation in patent impact by organization type: An investigation of government, university, and corporate patents," Science and Public Policy, 2019
  • Jon Schmid, "The diffusion of military technology," Defence and Peace Economics, 2018
  • Jon Schmid and Fei-Ling Wang, "Beyond National Innovation Systems: Incentives and China’s Innovation Performance," Journal of Contemporary China, 26(104), 2017
  • Jon Schmid and Jonathan Huang, "State Adoption of Transformative Technology: Early Railroad Adoption in China and Japan," International Studies Quarterly, 61(3), 2017
  • Jon Schmid, Matthew Brummer, and Mark Zachary Taylor, "Innovation and alliances," Review of Policy Research, 34(5), 2017
  • Schmid, Jon, An Open-Source Method for Assessing National Scientific and Technological Standing: With Applications to Artificial Intelligence and Machine Learning, RAND Corporation (RR-A1482-3), 2021

Authored by Jon Schmid

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