Kyle is a PhD student at Victoria University of Wellington. Armed with tools borrowed from statistical mechanics such as stochastic point process models, he uses patent data to examine the spread of knowledge within and between firms and industries in order to make sense of the dynamics and evolution of technological innovation. He is particularly excited about the potential for conceptual breakthroughs that are made possible when problems faced in traditionally non-mathematical fields are placed within a complex systems framework.
Catriona is a PhD student at the University of Auckland with a background in physics, law and philosophy. Her research interests are related to applying tools from network science of complex systems to study social and economic development. Currently she is investigating collaboration in technological innovation by building patents networks. She loves the trans-disciplinary nature of complex systems research, where she can use tools from the mathematical and physical sciences to the study of human socio-economic systems.
TreasurerAudrey’s research involves the development of appropriate descriptive measure to quantify the structural spatial and temporal complexity of ecosystem and the identification of the mechanism that generate this complexity through modelling and field studies. She is a PhD student currently working with Assoc. Prof. Susan Worner at the Bio-Protection Research Centre Lincoln University. She uses individual-based models for modelling the spread of invasive species through space and time. She loves how Te Pūnaha Matatini provides a home for researchers who cross disciplinary boundaries in search of holistic answers.
Marketing and Communications
Emma is studying Statistics and Psychology at Victoria University. She is very interested in complex social systems and how change occurs within those. Emma wants to apply data analysis techniques to social issues in the future. Her interests have never fit neatly into one box, and she loves the cross-disciplinary nature of complex systems.
Oscar is a PhD candidate in Engineering Science at the University of Auckland. He grew up on a dairy farm and works on applying stochastic optimisation to the New Zealand dairy industry. The mathematical models he creates take into account the randomness in the weather and global economic climate in order to guide farmers in their decision making. He hopes that these models will help increase the environmental and financial sustainability of dairy farming in New Zealand.