Drawing Inspiration From Human Design Teams for Better Search and Optimization: The Heterogeneous Simulated Annealing Teams Algorithm

McComb, C., Cagan, J., and Kotovsky, K. 2016, Journal of Mechanical Design, vol. 138(4), pp. 1-6 Insights uncovered by research in design cognition are often utilized to develop methods used by human designers; in this work, such insights are used to inform and...
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Impossible by Design? Fairness, Strategy, and Arrow’s Impossibility Theorem

McComb, C., Goucher-Lamber, K., and Cagan, J. 2017, Design Science, vol. 3(2) The design process often requires work by teams, rather than individuals. During team based design it is likely that situations will arise in which individual members of the team have...
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Linking Properties of Design Problems to Optimal Team Characteristics

McComb, C., Cagan, J., and Kotovsky, K. 2016, ASME IDETC – Design Theory and Methodology Conference. A team with the right characteristics can exceed the sum of their individual efforts. However, a team having the wrong characteristics may perform more poorly...
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Fairness and Manipulation: An Empirical Study of Arrow’s Impossibility Theorem International Conference on Engineering Design

McComb, C., Goucher-Lambert, K., and Cagan, J. 2015, International Conference on Engineering Design The design process often requires work by teams, rather than individuals. During these times it is likely that situations will arise in which members of a team have...
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Enhancing Shear Transfer in Composite Decks

McComb, C., and Tehrani, F.M. 2015, Engineering Structures, vol. 88, pp. 251-261. Reinforced concrete construction and steel construction are two of the most common contemporary construction methods. Both methods make use of composite decks as floor systems and...
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Human system can mean many different things. In this lab, we look at it in three different ways:

Systems of Humans

  • Can we build accurate simulations of problem-solving teams?
  • How can be make organizations more efficient and effective?

Systems for Humans

  • In what way can intelligent tools boost human performance?
  • Can intelligent design tools be developed that mimic expert behavior?

Systems + Humans

  • What are the implications of merging humans and machines as equal partners?
  • What does an intelligent algorithm need to truly contribute?

Our research interests span the entire spectrum of human systems. Some examples of our research include discovering how to effectively manage and organize design teams and multi-team organization, designing computational algorithms that mirror human learning patterns, and developing new methods for rapidly analyzing renewable energy technology. If research like this sounds interesting to you, please take a look at our open positions.