Research in data science

Research groups and labs

• Agricultural Data Science

  The Analytics, Modelling and Technology research group focuses on creating opportunities for innovation in big data to support the global efforts towards sustainable intensification of agriculture.

• Agricultural and Resource Economics and Agribusiness (AREA)

  The Agricultural & Resource Economics and Agribusiness (AREA) group undertakes research into the benefits, costs and risks of change in agricultural production and marketing and in the resources used in these sectors.

• Astrophysics

  The Astrophysics research group spans cosmology, extragalactic astronomy, extreme objects, relativistic astrophysics, cultural astronomy, and knowledge management associated with virtual observatories and software telescopes.

• Centre for Environmental and Economic Research

  A multidisciplinary research group of ecologists, data analysts, economists and animal and plant health specialists that focuses on environmental and economic outcomes.

• Data Science Group

  Data science combines aspects of statistics, computer science, and mathematics in order to organise, analyse, and extract knowledge from data sets.

• Environmental Social Science

  Solutions to environmental and sustainability challenges require an understanding of their economic, social and psychological dimensions. Research disciplines in the group include environmental sociology, environmental psychology, economics, forest management and policy.

• FLARE Wildfire Research

  Quantifying risks to environmental and human assets from wildfires, using models incorporating theoretical and applied bushfire behaviour and management strategies to determine actions to reduce risks.

• Mathematical Ecology, Epidemiology and Biosecurity

  This group works on interdisciplinary research problems that focus on developing mathematical and statistical models to support real-world decision-making and policy across the biological sciences.

• Veterinary Epidemiology @ Melbourne

  The veterinary epidemiology group aims to generate new knowledge and techniques that can lead to improvements in animal health, with an emphasis on identifying emerging areas of inquiry, particularly those that cross disciplinary boundaries.