Scientist career path: An explorative analysis

Project dates: 01/02/2018 - Ongoing

This project aims to uncover important insights into scientists, their interactions, and their career dynamics, seeking to understand scientific success and scientific innovations by understanding scientists themselves. 

Why is this important?

Studying the science of science, understanding how scientific ideas develop and spread, is necessary if we are to hasten the innovation process. We use econometric approaches to follow the career progression of academics, particularly the effect of prizes and awards on their future research outputs, impact and collaborations.

What we aim to do

This project will generate the largest data set on scientists ever collected and analysed, resulting in new knowledge into the mechanisms underlying scientific progress and innovation; scientists’ resilience and adaptation to positive and negative life shocks or environmental changes; their pattern of collaboration and cooperation; and their creative development. The project will provide significant benefits to universities and policy makers in fulfilling their role of creating and disseminating new knowledge.


For more information about this project please email 

Funding / Grants

  • Funded by ARC DP180101169

Chief Investigators


Other Team Members

  • A/Prof Ali Önder
  • Prof Jonathan Feinstein – Yale University
  • Prof Dr Martin Kocher
  • Asst Prof Jana Gallus

Related Events


  • Chan, Ben, Mixon, Franklin, Torgler, Benno (2019) Fame in the sciences: a culturomics approach Scientometrics, 118 (2), pp.605-615.
    View on ePrints
  • Frijters, Paul, Torgler, Benno (2019) Improving the peer review process: a proposed market system Scientometrics, 119 (2), pp.1285-1288.
    View on ePrints
  • Bi, Weilong, Chan, Ben, Torgler, Benno (2019) Self-esteem, self-symbolizing, and academic recognition: behavioral evidence from curricula vitae Scientometrics, 119 (1), pp.495-525.
    View on ePrints
  • Ong, David, Chan, Ben, Torgler, Benno, Yang, Yu (Alan) (2018) Collaboration incentives: Endogenous selection into single and coauthorships by surname initial in economics and management Journal of Economic Behavior and Organization, 147, pp.41-57.
    View on ePrints
  • Chan, Ben, Mixon, Franklin, Torgler, Benno (2018) Relation of early career performance and recognition to the probability of winning the Nobel Prize in economics Scientometrics, 114 (3), pp.1069-1086.
    View on ePrints