¶¶Òõ¶ÌÊÓƵ

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.

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.

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.

The UNSW Data Science Hub (uDASH) is at the forefront of pioneering research in collaboration with leading sporting organizations and innovative sports technology startups. With a multidisciplinary team comprising data scientists, analysts, engineers, and domain experts, uDASH drives initiatives that utilize statistics, data science, machine learning, and AI to drive performance and innovation in sports and related industries. Our focus research includes, but is not limited to, enhancing performance, driving fan engagement, enhancing event management, ensuring financial stability, and achieving community impact.

Over the past years, uDASH has successfully launched research projects and HDR scholarships in partnership with sporting organizations such as Surfing Australia, Football Australia, and NSW Rugby League. We’ve collaborated with forward-thinking sports technology startups like Platypus Medtech, Reaction Performance, Mitosportz, and Splink. These initiatives demonstrate the need and power of data-driven insights and can lead to tangible advancements in athlete performance and sports technology innovation. Our team of researchers has completed research projects demonstrating data analytics’ impact across various sporting codes like football, rugby, and gymnastics with international partners such as Bayern Munich FC, Red Bull, and Fujitsu.

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. 

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.