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Personal profile

Research interests

Simon pursues a thoroughly multi-disciplinary research agenda as a complexity and data scientist. In Economics, he is thematically interested in technology, innovation and non-equilibrium economics. Largely he uses computational and data science techniques to study socio-economic, biological, or physical phenomena. He has worked on diverse complex systems applications such as evolutionary models of joint-intentionality, finite-state automata models of perpetualy novelty, self-organisation in polymer films, complex neural regulation of endurance pacing, and cellular automata models of tumor progression. He also has a strong interest in networks and data science, including big data ananalysis and visualisation. Additionally, he has brought complexity thinking to sustainable development through his educational activities.

Biography

Simon returned to Melbourne, where he grew up, to join the Department of Economics, Monash University, in 2008 after spending a decade at UNSW for undergraduate and postgraduate studies across Arts, Science and Economics. During this time he also benefitted from stints at the Santa Fe Institute (SFI) where his interest in the Science of Complexity was cultivated. Simon's interest in computational and algorithmic thinking started very early with much time spent on the family's first computer from the age of five, since then, he has continued to pursue the art of computational and data science, embracing a truly multi-disciplinary program of research and teaching, leveraging his diverse background. Outside of university, Simon: serves City on a Hill, an Anglican church in Melbourne, as a lay-pastor for strategy and analysis; enjoys time with his wife and their three kids; and pursues endurance trail-running competition.

Supervision interests

Simon welcomes research supervision interest in any of his research areas. Students should normally expect to work on algorithmic, computational, or data science works within the complexity paradigm. Simon is open to applications across the science domains, though some aspect of the work should ordinarily have an economics flavour.

Keywords

  • Agent-Based Modelling
  • Complexity
  • Data-Mining
  • Economics of Innovation
  • Game Theory
  • Networks
  • Sustainable Development

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2013 2019

Research Output 2002 2015

Open Access
File

Coalitions, tipping points and the speed of evolution

Newton, J. & Angus, S., 2015, In : Journal of Economic Theory. 157, p. 172 - 187 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Emergence of shared intentionality is coupled to the advance of cumulative culture

Angus, S. & Newton, J., 2015, In : PLoS Computational Biology. 11, 10, 12 p., e1004587.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

A matter of timing: Identifying significant multi-dose radiotherapy improvements by numerical simulation and genetic algorithm search

Angus, S. & Piotrowska, M. J., 2014, In : PLoS ONE. 9, 12, 28 p., e114098.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

A resource efficient big data analysis method for the social sciences: The case of global IP activity

Ackermann, K. & Angus, S. D., 2014, 2014 International Conference on Computational Science (ICCS 2014). Abramson, D., Lees, M., Krzhizhanovskaya, V. V., Dongarra, J. & Sloot, P. M. A. (eds.). Amsterdam Netherlands: Elsevier, p. 2360-2369 10 p. (Procedia Computer Science). (Procedia Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Prizes

Citation for Outstanding Contributions to Student Learning

Simon Angus (Recipient), 2011

Prize: Prize (including medals and awards)