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MDSI students shine (again) in NSW Gov Data Challenge

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 t...
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Reflections on 2015

Tomorrow it's Christmas Eve, and CIC will fall silent as midday strikes! It's a good moment to reflect on a dynamic year. . . If you're seeing this via our newsletter, then welcome to the first of the new updates in which we aggregate from the CIC website the month's activities for you to stay in touch with everything that the CIC team is up to. To kick things off, we have a bumper issue pulling in the last two months' news, plus this end of year retrospective. An innovation lab is only as good...
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MDSI students enjoy data slam success

For a small but dedicated band of students in our new MDSI program, Spring Semester has been shaped around one constant: hackathons! Data challenges ( or data slams as we like to call them) are growing in popularity as ways to put 'fast-fail' approaches into practice on small but instrumental bursts. Our students have participated in GovHack, UnearthedSydney, AusDM and NSWDAC. At every turn they have had impressive results - culminating in their most recent success at an invitation-only challen...
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Managing the Unimaginable

What would happen if we were to develop a mindset of  embracing the uncertainties (both present and emerging) that working with massive data sets entails rather than seeing them as problems to be solved? This question was the impetus for a paper which Theresa Anderson and Simon Buckingham Shum presented at the 11th Annual Social Informatics Research Symposium at the Annual Meeting of the Association for Information Science & Technology (ASIS&T). In keeping with the Symposium theme -- Imp...
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Cooking data with care in MDSI

“Raw data is both an oxymoron and a bad idea;  to the contrary, data should be cooked with care.” (Bowker, 2005) Inspired by the fantastic opening provided in the public seminar presented by Geof Bowker (University of California at Irvine) about thinking critically and ethically about the intersection of Data Science, Information Infrastructure and Society, MDSI students enrolled in the mid-year intake of the program participated in a ‘serious game’ as part of their Self-tracking Data Project. ...
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