About us
We see meaning and patterns where others see bits and bytes
The UNSW Data Science Hub (uDASH) unites UNSW’s full spectrum of data specialists to solve complex, real-world challenges–your challenges. We translate the data generated by business, government and industry into a story. And from that story, we create a solution.
In today’s world, we are inundated by large amounts of information that is often left meaningless without a central body through which it can be curated and interpreted. Our uDASH team comprises more than 100 data scientists from across UNSW in the fields of psychology, medicine, physics, law, mathematics, education, business, marketing and economics.
When you collaborate with us, you are matched to a specialised team of uDASH scientists who will work with you to develop a scope of research. We work to help you achieve your desired outcomes and insights from your data. These data could be experimental findings, survey outcomes (and design), user behaviour or even the irregular distribution of trees. We undertake deep analyses with our suite of tools, algorithms and visualisations, and apply powerful proprietary models and simulations.
We ask the questions to reveal the bigger picture, so you can see the forest beyond the trees.
Our themes
As a broad, but by no means exhaustive grouping, the research of uDASH data science can be divided into six primary themes:
1. Fundamental Data Science
Fundamental data science is concerned with developing the foundations of new data science theory, methods, and tools. These will typically have their roots in Mathematical, Statistical or Machine Learning.
2. Environmental & Sustainability
Environmental data science is concerned with generating new data-driven insights into environmental problems at all scales from the microbial to the globe. New complex and large datasets now exist from earth observation platforms, from spatial and temporal climate, and from biodiversity observations including (meta-)genomics. Using these datasets in informative ways requires an emerging set of complex methods. This theme facilitates the connection of method experts with environmental experts to address these environmental problems.
3. Health Data Science
Health data science is concerned with generating data-driven solutions to complex real-world health problems (in a broad definition) through the comprehension of complex big data and development/employment of customised analytical, statistical and machine learning approaches. The theme addresses both fundamental and translational research questions in a wide range of areas including health, medicine, pharmacology, psychology, and biology.
4. Business Data Science
Business data science uses the latest methods and tools to convert data into insights for business and economic decision making. For almost any type of business there are unprecedented opportunities to learn from increasingly detailed, real-time and complete data to help inform decisions in finance, accounting, marketing, operations, human resources and strategy.
5. Space & Defence
The Space & Defence research theme uses data science and machine learning tools to support the space and defence industry. We work with diverse industry partners both in Australia and internationally to extract value, knowledge, and resilience from datasets including earth observation, remote sensing, autonomous vehicles, and IoT sensors.
6. Data4Good
Data4Good aims to use the power of data to help drive systemic change for the good of society. We help organisations understand and make the best use of their data for maximum impact and to drive change. We are particularly passionate about Education, Climate Change, Gender Equity and Policy and Justice.