Our partners
Australia has an impressive and expanding footprint in data science research and training. However, this footprint is spread over a large continent; the field of data science is very fast-moving; demand for data science capability and capacity is still exploding; and there is increasing interest not only in individual groups but also in collective and national profiles.
To provide a more comprehensive and inclusive solution, we have established the Australian Data Science Network (ADSN). The ambition is clearly and deliberately to enhance and expand opportunities and outcomes for all members of the Network.
We invite any centres or professional societies interested in being part of the ADSN to contact us about becoming a partner and connect with other organisations below.
Partners also receive access to our monthly ADSN Centre Spotlights, where members are given a chance to get to know one another better in an online meeting. Each partner presentation is recorded, and the latest ones can be viewed on our YouTube channel.
The Adelaide Data Science Centre (ADSC) is a newly created Centre within the University's Faculty of Sciences, Engineering and Technology.
The Australian Institute for Machine Learning (AIML) is Australia’s first institute dedicated to research in machine learning. AIML's world-class research strengths lie in machine learning and the methods that support this; artificial intelligence, computer vision and deep learning.
The Australian Mathematical Sciences Institute (AMSI) is the collaborative enterprise of Australia’s mathematical sciences. It exists to give independence to the enterprise's disciplines and provide infrastructure so that members can take initiatives on the national and international stage. AMSI's aim is to improve the levels of mathematical capacity and facility in the Australian community.
The ANU Biological Data Science Institute (BDSI) is an interdisciplinary academic unit in the College of Science that sits at the interface of data science and biological science. It aims to recruit, build and coordinate expertise in the expanding field of biological data science to accelerate the translation of data to domain knowledge.
The Australian Research Data Commons (ARDC) enables the Australian research community and industry access to nationally significant, data intensive digital research infrastructure, platforms, skills and collections of high quality data.
The Centre for Data Analytics (CDA) aims to raise the profile of Bond University in the Big Data Analytics research space. This will help establish meaningful engagement with organisations, both government and private, which are expected to lead to funding opportunities and joint research collaborations.
The Curtin Institute for Data Science is an interdisciplinary knowledge accelerator established in 2016 to meet increasing demand for data science across disciplines. Its aim is to apply data science and high-performance computing to provide innovative solutions to the real-world problems of government, industry, and academia.
The School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University brings together Curtin’s core capabilities across electrical engineering, computing, physics and mathematics, to better understand and advance our data-driven world.
The ARC Training Training Centre in Data Analytics for Resources and Environments (DARE) works with PhD candidates, post-doctoral researchers and industry and government partners interested in developing new data science models to drive better decision making in the management of Australia’s natural resources.
The Data to Intelligence Research Centre (D2I) at Deakin University brings together computer scientists, mathematicians and engineers. Our research is multidisciplinary and includes solving industrial and theoretical research problems. Our aim is to build data and process-driven models and intelligent algorithms to solve real-world problems.
The Data Science Research Unit (DSRU) at Charles Sturt University focuses on machine learning, machine vision, cybersecurity, simulation and modelling, computational intelligence and robotics, data mining, astronomical and space sciences as well as the application of these fields to real-world problems
Intersect is a national not-for-profit Digital Research organisation providing expert advice, research compute and storage, custom engineering, research support and operating the largest research digital skills training program in Australia training thousands of researchers every year. Intersect's Advanced Analytics & AI (3AI) Platform is an end-to-end Advanced Analytics and AI solution at Intersect that aims to help researchers accelerate their research by getting access to highly skilled experts in data science, AI, statistics, and more.
The Centre for Data Analytics and Cognition at La Trobe University focuses on the theoretical advancement of artificial intelligence (AI) as well its practical contributions to organisations, the economy and society. We specialise in research and development of cutting-edge AI algorithms and Data Analytics platforms.
The Data Analytics Research Lab at Macquarie University in Sydney aims to significantly improve people's lives through their work in Data Science, Predictive Analytics and Big Data.
The Melbourne Centre for Data Science is built out of a joint collaboration between Statistics and Computer Science at the University of Melbourne. The Centre's goal is to promote and engage in fundamental and interdisciplinary research, teaching and leadership in Data Science by forging a vibrant, research rich and engaging interdisciplinary environment to lead advances in data science.
Monash Data Futures Institute is your access point to the breadth of Monash University's expertise in Artificial Intelligence and Data Science for social good. Our interdisciplinary research focuses on AI and data science across three themes: health sciences, better governance and policy, and sustainable development.
Monash University's Department of Econometrics and Business Statistics is connecting research and education for a deeper understanding of econometrics and business statistics. They are ranked among the best business schools for econometrics and business statistics, including their world-leading Forecasting Unit.
Murdoch University's College of Science, Technology, Engineering, and Mathematics (STEM) equips students with a holistic education, blending theory and practical skills to pave the way for prosperous careers across various industries.
The University of Wollongong's National Institute for Applied Statistics Research Australia (NIASRA) is committed to developing and applying innovative statistical methods to important problems. It undertakes a range of fundamental and contract research, major consulting projects, and professional education in statistical methodology.
QCIF provides the high-performance services, infrastructure and support required to achieve excellence in computation and data-driven collaborative research and its application in industry. QCIF operates with its members and partners delivering services to research throughout Queensland and increasingly via Commonwealth programs to the nation.
Queensland University of Technology (QUT)'s Centre for Data Science draws together capability in data science from across Australia to deliver world-class research, unique training opportunities and active external engagement. QUT is the lead node for the Australian Data Science Network.
RMIT's Centre for Information Discovery and Data Analytics (CIDDA) specialises in developing new approaches to find relevant information in massive data collections. CIDDA establishes a capability for processing the enormous volume of data produced by new technologies.
The Statistical Society of Australia aims to further the study, application and good practice of statistical theory and methods in all branches of learning and enterprise. The national Society represents Australian and overseas statisticians providing the focus and organisation of local activities.
Swinburne's Data Science Research Institute leads the data-to-discovery pathway for data-intensive research in biology, physics, astronomy, economics and social sciences. We address the grand challenges of industry with expertise in big data, data analytics, machine learning and artificial intelligence (AI).
The purpose of the Sydney Precision Data Science Centre is to engage in high quality and transformational multidisciplinary research and to provide a research hub to all interdisciplinary researchers in data-intensive science.
The UNSW Data Science Hub (uDASH) is a major strategic initiative of UNSW Science. It aims to cultivate and promote foundational and applied research in Data Science with a focus on environmental, physical and health sciences. The Hub provides a world-class environment, with access to state-of-the-art data visualisation and computing facilities.
The disciplines of mathematics, statistics and physics at The University of Queensland provide the framework that describes the natural world and underpins a wide range of technological advances. Also at UQ, the ADSN partnership includes The Artificial Intelligence for Pandemics group. The group's focus is the application of data science, machine learning, statistical learning, applied mathematics, computation, and other "artificial intelligence" techniques for managing pandemics both at the epidemic and clinical level.
The University of South Australia's Data Analytics Group (DAG) primary focus is on extracting actionable information from complicated data to help decision making and automation. Their research topics include data mining, predictive modelling, data management, and multimedia information systems.
The University of South Australia’s Industrial AI Research Centre brings together experts from across computer sciences to develop solutions for autonomous and augmented intelligence systems. We are a part of the global revolution in artificial intelligence, machine learning, Industry 4.0 and Internet-of-Things (IoT) technologies.
The University of Southern Queensland (USQ)'s Advanced Data Analytics Research Group is a research group specialising in building smart systems using advanced analytics to improve the overall system efficiency. Their focus is on adopting the AI methods to support real-life decision-making processes.
The UTS Statistics and Data Science group has interests that range from the development of fundamental statistical methods to the application of statistics in such areas as population health, forensics, and law. A major part of our work involves the development of new methodology to investigate complex problems in the age of Big Data.
The University of Western Australia's Department of Mathematics and Statistics has research expertise across the areas of Applied Mathematics, Pure Mathematics and Statistics.
The Centre for Research in Mathematics and Data Science (CRMDS) is the focus for high quality research in the mathematical and data sciences at Western Sydney University. Research in CRMDS spans a continuum from "blue-sky" theoretical work to applications, and covering a spectrum of mathematical fields including algebra, control theory, and data sciences such as computational statistics and machine learning.
The Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) engages in research programs that combine innovative methods for the analysis of data with theoretical, methodological and computational foundations, provided by advanced mathematical and statistical modelling.