Jeffrey Furman

Associate Professor, Strategy and Innovation
    Publications
  • Furman, J., Teodoridis, F. (In Press). "Machine learning could improve innovation policy", Nature Machine Intelligence, 2 84-84
  • Teodoridis, F., Lu, J., Furman, J. (2020). "Measuring the Direction of Innovation: Frontier Tools in Unassisted Machine Learning",
  • Furman, J. (2020). "Safeguarding the Bioeconomy", National Academies of Science, Engineering, & Medicine
  • Furman, J., Teodoridis, F. (2020). "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering", Organization Science
  • Wang, Y., Jizhen, L., Furman, J. (2017). "Firm performance and state innovation funding: Evidence from China’s Innofund program", Research Policy, 46 (6), 1142-1161
  • Azoulay, P., Furman, J., Krieger, ., Murray, F. (2015). "Retractions", Review of Economics and Statistics, 97 (5), 1118-1136
  • Furman, J., Connelly, T., Corrado, C., DiEuliis, D., Epstein, G., Frisvold, G., Hodgson, A., Maxon, M., Watzinge, M."The U.S. Bioeconomy: Paths Forward in Measurement and Public Policy", submitted to Science
  • Furman, J., Teodoridis, F."Automating Research Technologies and Scientific Innovation",
    Research Presentations
  • Furman, J. Bioeconomy Innovation & Measurement Challenges, AAAS Annual Meeting, 2021
  • Furman, J. Measuring and Global Leadership in the Bioeconomy, National Science Foundation, Division of Molecular & Cellular Biosciences, 2021
  • Furman, J. Institutions, Knowledge Accumulation, & the Rate & Direction of Innovation, KAIST Entrepreneurship & Innovation Bootcamp, 2020
  • Furman, J. International policy instruments and governance of the bioeconomy and circular economy, Global Bioeconomy Summit, 2020
  • Teodorodis, F. , Furman, J. Measuring the Direction of Innovation: Frontier Tools in Unassisted Machine Learning, Harvard University, Science-Based Business Seminar, 2020
  • Teodoridis, F. , Furman, J. Measuring the Direction of Innovation: Frontier Tools in Unassisted Machine Learning, Max Planck Institute for Innovation & Competition, Innovation & Entrepreneurship Seminar, 2020
  • Fry, C. , Furman, J. Building Short Bridges: South-South Migration of Female Scientists, NBER Summer Institute, Session on Science of Science Funding, 2020
  • Furman, J. Research Impact: For whom, for what? (Consortium presentation), Academy of Management Conference, TIM Junior Faculty Consortium, 2020
  • Furman, J. (Mis)Adventures in Junior Faculty Publishing (Consortium Presentation), Academy of Management Conference, TIM Junior Faculty Consortium, 2020
  • Furman, J. Writing an empirical paper for Strategy & Innovation scholars (Consortium presentation), Management Doctoral Student Association, Doctoral Consortium, Panel on Research & Writing,, 2020
  • Furman, J. discussant for paper, “Knowledge Access: The Effects of Carnegie Libraries on Innovation,” by Enrico Berkes & Peter Nencka, EPFL Virtual Innovation Seminar (EVIS) [École polytechnique fédérale de Lausanne], 2020