The role of data-driven decisions in science
'Data is the new oil'
The foundation of good decision making is high-quality data, and as we move further into the digital age, the future of science will become data-driven.This data foundation will change the way people do their future work. For example, instead of scientists doing experiments in the laboratory they can be done on a computer first, saving time and money.
Volumes of data can train a machine learning algorithm to automate a manual process, enabling a factory worker to spend more time on more important tasks.
Weather, geographical and environmental data can be combined and run through a simulator software platform to predict how a bushfire might spread across a certain landscape, allowing emergency responders to better plan their operations.
Collecting, analysing and storing data plays a crucial role in CSIRO solving some of Australia's greatest challenges, and the digital revolution speeds up, it has the potential to accelerate our science.
Monitoring the environment
From the effects of climate change to the spread of disease and invasive species, we’re living in a world that poses increasing threats to biodiversity, so monitoring the state of the environment using insights gathered from data has never been more important.
Building smart cities
A truly smart city is sustainable, resilient and liveable. We're collecting, analysing and utilising huge amounts of data from our cities to help inform the people who are maintaining, planning and developing them.
Personalising medical treatment
Against a backdrop of an ageing population, a recent pandemic and escalating health care costs, digital health is emerging as an area of rapid growth and impact. It brings with it new and exciting data streams to advance personalised care.
Ensuring secure data
The digital revolution has enabled us to share huge amounts of information to design, personalise, and refine products and services. It's crucial to ensure this data is shared and used securely, ethically and safely.
Data-driven strategic insights
By collecting, combining and analysing large amounts of data, our analysts can predict emerging trends, drivers and scenarios, and apply modelling approaches to generate insights and inform future strategy and policy decisions.