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Swinburne academics, Ts. Dr Miko Chang May Lee and Ts. Dr. Vong Wan Tze, alongside industry representative Ryan Chua, emerged victorious at the recent global data challenge hosted by The Alan Turing Institute in London, UK. Photo: Swinburne Sarawak

Swinburne Sarawak crowned champion in Alan Turing Institutes’ global data challenge

ByCheryl Syahmina Toh

UNITED KINGDOM, Apr 15: Swinburne Sarawak clinched the victory in the recent global data challenge hosted by The Alan Turing Institute, positioning it as a leader in data science and analytics in the region.

Swinburne academics, from the School of Information and Communication Technologies, Ts. Dr Miko Chang May Lee and Ts. Dr. Vong Wan Tze as well as a third team member representing the industry, Ryan Chua, emerged as grand champions out of the 25 finalist teams representing 20 countries.

“It was an invaluable experience where I learned that to progress further, one must stand on the shoulders of giants, as beautifully put by Newton,” said Dr Miko Chang in a statement today.

She added that the programme fosters appreciation in collaboration and shared knowledge within the AI research community.

As global champions, Dr Chang and Dr Vong earned a fully sponsored trip to visit The Alan Turing Institute’s office in London.

During their visit from 16 to 24 March recently, they also participated in and presented their work at AI UK 2024, the UK’s annual national showcase on data science, and artificial intelligence research and innovation.

Meanwhile, Professor Patrick Then Hang Hui, Head of the School of Information and Communications Technologies highlighted that the victory places the university at the forefront of the realm of data science and advanced analytics.

The global data challenge, organised by Dr Oman Guerrero, Head of Computational Social Science in the institute’s Public Policy Programme, attracted participants from around the world.

Teams were to tackle challenges using open spending data, development indicators and a newly released web- based modelling app from the Policy Priority Inference.-TVS

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