Events

Bendigo Bank partnership launch

In July 2019, we launched our partnership with Bendigo and Adelaide Bank that will see Australia’s first Master of Financial Technologies (FinTech) delivered through our Australian Graduate School of Entrepreneurship (AGSE). The partnership was launched at an event that included an interactive panel discussion with FinTech experts, moderated by Director of the Master of FinTech, Dr Dimitrios Salampasis.

Read more about the partnership and the launch event.

FinTech and the future of financial services

In April 2019, renowned Financial Technology (FinTech) leaders came together to discuss the trends, challenges and opportunities of FinTech in Australia. Participants in Swinburne’s FinTech panel discussed emerging technologies such as blockchain, data and artificial intelligence (AI) that are set to disrupt the landscape of the financial services industry.

Read more about the event.

Architecture of Insight: Data Science Symposium

In partnership with the Centre for Transformative Innovation, we hosted a data science symposium called Architecture of Insight in February 2019. The symposium focused on the impact, principles and the practicability of data science in a data-driven society. Bringing together policy analysts, researchers and stakeholders from industry and government, attendees heard about the exciting advances and practices occurring in the data science sphere.

Partnerships

AUSTRAC

We partnered with AUSTRAC on a prototype to test the feasibility of using blockchain to automate funds transfer instructions. Know-Your-Customer (KYC) obligations are the cornerstone of the Anti-Money Laundering/Counter-Terrorism Financing regime. Banks spend, on average, $70 million a year on KYC compliance. The changing nature of technology and the potential uptake of blockchain platforms across the financial-services sector presents significant opportunities for AUSTRAC and Swinburne, in collaboration with financial institutions, to lead the way in understanding the use of smart contract for automating these obligations and set the global best practice in the application of blockchains.

For more information about our work in this area, see our financial technologies program.

CapGemini

CapGemini’s Australian focus is on financial services so we’ve partnered with them to focus on innovations in the field of financial technology (FinTech) using data-driven methodologies. This work will shape customer behaviour, business models and the long-term structure of the financial services industry.

For more information about our work in this area, see our financial technologies program.

Medibank

This partnership is focused on the health and wellbeing of the Swinburne community and beyond. A working group involving Medibank, researchers from the Data Science Research Institute and researchers from the Iverson Health Innovation Research Institute is exploring common interest projects to encourage data-driven innovation in health.

Our researchers are involved in two projects:

For more information about our work in this area, see our medical data analytics program.

You can also find out more in the following articles:

Passel

Passel is a delivery service that uses the shared economy to pay everyday people (known as passers) to deliver parcels to nearby locations. We partnered with them on the Parcel Movement and Optimisation project. Using hybrid expertise from data science, optimisation, supply chain management and logistics, we started from the data science point of view to break down the historical trajectory record of the passers (people paid to deliver parcels) and refine the moving pattern of these passers in spatial and temporal ways.

This work was carried out as part of our supply chain analytics program.

Peter MacCallum Cancer Centre

Members of the Data Science Research Institute joined forces with Peter MacCallum Cancer Centre, the Iverson Health Innovation Research Institute and the Social Innovation Research Institute to establish joint-research opportunities with a focus on clinical research and bioengineering. Multiple opportunities were identified, particularly in data integration and image analysis.

Our contribution focuses on:

  • image processing with GPUs, particularly on the accurate detection of immune cells using machine learning

  • big data analytics with an emphasis on using predictive modelling and deep machine learning tools to interrogate and data mine complex clinical data sets and hospital information.

For more information about our work in this area, see our medical data analytics program.

Soho Flordis International

We’re partnering with Soho Flordis International on a new methodology to describe how gut bacteria are related to brain, cognitive and mood processes. Bringing together leading expertise on gut microbiota, psychological health condition, data science and analytics, our aim is to create the first intelligent platform for microbiota data visualisation.

For more information about our work in this area, see our medical data analytics program.

International partnerships

We’ve partnered with our colleagues at Swinburne Sarawak Centre for Digital Futures to strengthen our joint capacity in big data, one of the eight core technologies the Sarawak government has identified as enhancing their digital economy. The Centre is now providing over 30 positions for computing and robotics researchers, including early career researchers, postdocs, PhD and master’s students, and research assistants. 

We’re also establishing a Joint Research Centre in Data Science with Tel Aviv University to facilitate the enrichment and expansion of research capacity and capability at both of our institutions. This joint centre will:

  • provide opportunities to share research facilities

  • enable researcher collaboration for joint research projects and papers

  • allow joint supervision of research students

  • provide support for development of joint government and industry partnerships in both Israel and Australia.

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Contact the Data Science Research Institute

If your organisation would like to collaborate with us to solve a complex problem, or you simply want to contact our team, get in touch by calling +61 3 9214 8180 or emailing dsi@swinburne.edu.au.

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