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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.
How we process and use data at CSIRO

COVID-19  research and technology

Health and Communities

Our data-driven research and technology is helping decision makers

From advanced analytics, simulations, scenario planning and robotics, our data-driven research and technology is helping decision makers understand how the virus behaves, model its spread, and help industries adapt.

Discover how

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.

INDRA

In a world with emerging uncertainty around environmental and climatic risk, the need to translate risks into impacts and adaptation opportunities at infrastructure scale is paramount.

Responding to emergencies using data

Helping Australia better understand, respond to and prepare for environmental events and emergency situations, such as bushfires, floods, storms and drought.

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.

Monitoring structures

Using sensing, continuous monitoring and advanced data analysis techniques we support civil and industrial asset managers to make more informed maintenance decisions.

NSW Spatial Digital Twin

The NSW Spatial Digital Twin is a powerful interactive live data sharing, collaboration and visualisation tool that captures 3D and 4D spatial data to model the urban environment.

Predicting traffic congestion

An artificial intelligence engine for traffic congestion management developed for Transport for NSW.

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.

Computer games for mental health

Our researchers have developed a specially-designed and simple computer game to assess brain activity and diagnose mental health disorders through the application of neural information processing systems.

Gestational diabetes platform

We've developed and trialled a mobile health platform to help patients and clinicians better track and monitor gestational diabetes.

Assessing breast density automatically

We've worked with the University of Melbourne to develop software to help identify women at higher risk of breast cancer and women potentially suited to personalised cancer screening strategies. This work was a merit recipient in the R&D category of the New South Wales iAwards 2015.

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.

Keeping your data private

Our data experts on why it's so important to keep your data private, how you can protect it, and the trade-off between personalised content and an individual's privacy online.

Magda data catalog

With Magda, data analysts, scientists and engineers can easily find useful data with powerful discovery features and make data-informed decisions with confidence.

Making anonymous data truly anonymous

Even though data is submitted anonymously, it only takes three bits of crucial information to re-identify someone. To counter this, we've developed a system to measure the risk of re-identification and prevent it from occuring.

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.

Data-driven insights

By analysing emerging trends, drivers and scenarios using data science techniques, we can generate accurate insights to inform future strategy and policy decisions. Our Strategic Insights team work to bridge the gap between technology and strategy to help government, industry and community plan for an uncertain future.

The New Normal report

Global Trade and Investment Megatrends identifies five megatrends that will reshape global trade and investment in the coming months and years in response to the COVID-19 pandemic, with the report offering nine strategic actions for governments and industry to position Australia for economic success.

The industries and actions crucial to our post-pandemic economic recovery

The policy question for strategists trying to regenerate the embers of our dampened economy is which industries can provide an immediate boost to employment and which can sustainably boost employment into the future but require re-skilling and investment?

More data science research

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