Simon D Angus
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.
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