Our research is reaching global sustainable development goals
QUT is committed to the integrated pursuit of planetary health, economic development and social justice. Our researchers are exploring real-world problems and opportunities related to the environmental, social, economic, cultural and legal dimensions of sustainability.
In collaboration with government, industry and communities, our research centres address all 17 of the United Nations Sustainable Development Goals. The Sustainable Development Goals (SDGs) provide a common platform where all can contribute to solving the world’s biggest sustainable development challenges.
QUT is progressing the SDGs through its research, teaching, operations, policies and partnerships. The university is strengthening the focus on sustainability in all undergraduate courses to give graduates a broad view of the sustainability agenda and how it relates to their specific field or industry.
The graphic below maps how QUT aligns with each SDG. Click on the arrow beneath each goal for more information.
Making real progress
$2.5M Medical Research Future Fund grant to study recurrent wheeze in preschoolers
QUT Professor Anne Chang has been awarded a $2,588,607 Medical Research Future Fund grant to lead a multidisciplinary, multi-institution project.
QUT fashion lecturer given fellowship to join global costume research centre
A QUT fashion lecturer and acclaimed theatre costume designer will spend 2025 in Finland on a fellowship funded by the European Union to explore new technologies in her field.
Professor Kerrie Mengersen honoured by Australian Academy of Science
Distinguished Professor Kerrie Mengersen from QUT’s School of Mathematical Sciences has today been bestowed with one of the highest honours awarded from the Australian Academy of Science.
Blueprint for mandating indoor air quality for public buildings in form of standards
A group of international experts led by QUT Professor Lidia Morawska has presented a blueprint for national indoor air quality standards for public buildings, in an article in the prestigious journal Science.
New rapid method to predict effects of conservation actions on complex ecosystems
A new way to analyse the effects of conservation actions on complex ecosystems has cut the modelling time from 108 days to six hours, QUT statisticians have found.
Deep learning enables faster, more accurate decisions on shoulder abnormalities treatment
QUT scientists have developed a deep learning framework to detect shoulder abnormalities such as fractures in X-ray images with 99 per cent accuracy to enable clinicians to make correct and speedy decisions in emergency situations.