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Hack to the Future: UTS MDSI students continue their winning Hackathon run

L-R: Patricia Kavinski, Duhita Khadepau, Amey Soo and Alex Scriven accept first prize at Unearthed Sydney 2017
In summary: A team of UTS Master of Data Science and Innovation students have won first prize at the 2017 Unearthed Sydney hackathon, replicating the success of their MDSI colleagues in 2016. The 54 hour long event challenged participants to develop prototype solutions to data challenges in the mining and resource sector.  For the second year running, UTS students undertaking the Master of Data Science and Innovation (MDSI) degree have achieved the ultimate success at th...
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Theresa Anderson on the “slow information” movement

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Associate Professor Theresa Dirndorfer Anderson was recently interviewed by Alexandra Cain from the Sydney Morning Herald's MySmallBusiness publication on the topic of "slow information". An extract from the article: "...we all grapple with the pace of commercial life. At the same time, we have more information at our fingertips than ever before.This is great in lots of ways as it gives us plenty of real data on which to base business decisions. But we're bombarded by information and it's ...
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UTS:CIC celebrates its first MDSI graduates

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This month, UTS celebrated its very first Master of Data Science and Innovation graduates – a momentous occasion for the university’s ground-breaking trans-disciplinary postgraduate degree.  The three MDSI graduates - Eduardo Lynch, Pedro Fernandez and William De Azevedo - accepted their certificates in the UTS Great Hall, before returning to the UTS Connected Intelligence Centre in Chippendale to celebrate the occasion with family, academic colleagues and industry peers. The UTS MDSI was...
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MDSI students shine (again) in NSW Gov Data Challenge

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Students studying the Master of Data Science & Innovation (MDSI) have once again emerged victorious in the second NSW government’s Data Analytics Centre invitational hackathon. Tackling three rounds of a challenge set by Fire and Rescue NSW to differentiate true fires from false alarms, the winning team enriched the dataset provided by adding weather and Twitter data, and generated additional features such as building type. Excitingly, their work may now influence data policy. A combined...
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