Scott Cunningham - Square

"I feel online education has helped me become a better instructor. I've learned how to create educational resources across a greater variety of formats, particularly in a video format. I've also learned to maximize my time with students both online and in the face-to-face world. It's possible to learn a great deal in the format of even a small online course. I really like that online education is helping me connect with a great variety of international participants, including career professionals."

Scott Cunningham joined the faculty in 2004. Prior to joining TU Delft, he worked in the computer and software industry, creating analytical models for commercial clients. His work on national innovation indicators helps inform policy for the governments of the U.S., the U.K. and Malaysia. Scott Cunningham is interested in operations research and decision sciences approaches for policy making. In particular, he is interested in probabilistic models of social exchange. Other interests include building multi-actor systems theory through the economic sociology and innovation policy literatures. A recent publication is Tech Mining (with Alan Porter), a book on assessing new technology developments.

research interest

  • Probabilistic Models for Policy Analysis.
  • Rational Models for Policy Analysis.
  • Decision Support Systems.
  • Network Analysis.
  • Infrastructure.

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Associate professor at the Department of Policy Analysis, Faculty of Technology, Policy and Management, Delft University of Technology


PhD in Technology and Innovation Policy, University of Sussex
MSc in Public Policy, Georgia Institute of Technology
BEng in Engineering Science and Mechanics, Georgia Institute of Technology


Technology, Policy and Management


Recent publications:

  • Cunningham, S & Thissen, WAH (2014). Strategy as changing the rules of the game for the emerging smart grid. IEEE Engineering Management Review, 42(2), 8-9.
  • Cunningham, S & Marro, FP (2014). The choice of location as a strategy of the firm. IEEE Engineering Management Review, 42(4), 7-8.
  • Cunningham, S & Kwakkel, JH (2014). Tipping points in science: A catastrophe model of scientific change. Journal of Engineering and Technology Management, 32(April-June), 185-205.
  • Hermans, LM, Cunningham, S & Slinger, JH (2014). The usefulness of game theory as a method for policy evaluation. Evaluation: international journal of theory, research and practice, 20(1), 10-25.
  • Cunningham, S & Kwakkel, JH (2014). Technological frontiers and embeddings: A visualization approach. In s.n. (Ed.), Management of Engineering & Technology (PICMET), 2014 Portland International Conference on (pp. 2891-2902). Piscataway: IEEE.

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