Projects per year
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.
Simon is a founding member of SoDa Labs, an empirical research laboratory associated with Monash University's Department of Economics and Department of Econometrics in the Monash Business School. SoDa Labs applies new tools from data science, machine learning, and beyond to answer social science questions using alternative and big data.
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.
Research area keywords
- Agent-Based Modelling
- Complexity
- Data-Mining
- Economics of Innovation
- Game Theory
- Networks
- Sustainable Development
Network
Projects
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The Expansion of the Internet and Economic Growth Worldwide - A Spatial RD Design
Raschky, P., Ackermann, K. & Angus, S.
7/08/20 → 31/12/21
Project: Research
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Beyond Autonomy: Understanding How New Social, Scientific and Technological Influences are Shaping the Future of Freedom
Watkin, C., Angus, S., Alizadeh, A., Chaplin, F., Davis, O., Heath-Kelly, C., Hewlett, N. & Ahearne, J.
1/01/20 → 31/12/20
Project: Research
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Lightboards everywhere
Turner, L., Anderson, R., Kaur, C., Angus, S., Leroux, A., McCormick, D., Sethi, A., Nichol, C., Parasnis, J., Halupka, V., Wordley, S., Li, J., Smith, T., Gibbs, J., Wyness, A., Fogg, Q., Schliephake, K., Beilby, K., McMenamin, P., Humfrey, D., Thompson, C., Macfarlan, B., Lasky, P., Vanderkruk, K. & Morton, S.
Monash University – Internal University Contribution
1/06/18 → 31/05/19
Project: Research
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A new, high spatial-resolution, dataset on internet use in Australia
Ackermann, K., Angus, S. & Raschky, P.
1/09/13 → 30/06/15
Project: Research
Research output
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Collaboration leads to cooperation on sparse networks
Angus, S. D. & Newton, J., 21 Jan 2020, In : PLoS Computational Biology. 16, 1, 11 p., e1007557.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
A complex adaptive systems approach to the relationship between personality and social division
Reilly, A., Van Rooy, D. & Angus, S., Nov 2019, In : Systems Research and Behavioral Science. 36, 6, p. 765-777 13 p.Research output: Contribution to journal › Article › Research › peer-review
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An exploration of the relationship between personality and strategy formation using market farmer: using a bespoke computer game in behavioural research
Reilly, A., Van Rooy, D. & Angus, S., 2019, Entertainment Computing and Serious Games: First IFIP TC 14 Joint International Conference, ICEC-JCSG 2019 Arequipa, Peru, November 11–15, 2019 Proceedings. van der Spek, E., Göbel, S., Do, E. Y-L., Clua, E. & Baalsrud Hauge, J. (eds.). 1st ed. Cham Switzerland: Springer, p. 311-323 13 p. (Lecture Notes in Computer Science; vol. 11863).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review
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A statistical timetable for the sub-2-hour marathon
Angus, S. D., 1 Jul 2019, In : Medicine and Science in Sports and Exercise. 51, 7, p. 1460-1466 7 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Watercooler chat, organizational structure and corporate culture
Newton, J., Wait, A. & Angus, S. D., Nov 2019, In : Games and Economic Behavior. 118, p. 354-365 12 p.Research output: Contribution to journal › Article › Research › peer-review
Prizes
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Citation for Outstanding Contributions to Student Learning
Angus, Simon (Recipient), 2011
Prize: Prize (including medals and awards)