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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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Kailash Awati

Kailash Awati
CIC continues to grow as we welcome our new Senior Lecturer Data Science - Kailash Awati. Kailash is co-founder of Sensanalytics, a consultancy specialising in sensemaking and analytics. Prior to this, he worked for a pharmaceutical multinational where he set up a global IT service center specialising in business intelligence and analytics. Over the last several years, he has worked as a data and analytics geek; facilitator and sensemaker; data / information architect; project manager and ...
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UTS:CIC Research Community

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CIC researchers engage in a number of research and teaching community activities externally, as well as Learning Analytics Reading Group (LARG) - Open to External Participants Our LARG meetings will be held fortnightly on Tuesdays, lasting ~ 1.5 hours, and led by UTS:CIC PhD candidate interests. The format will typically involve: Individuals selecting a paper they want to discuss/present Papers should be targeted at a problem (theoretical, methodological, analytical, etc.) in their o...
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PhD resources

Graduate Research School GRS coordinates UTS-wide PhD and indeed all researcher development. We encourage you to build your network of peers across the disciplines (also bearing in mind that your learning analytics research may well need to partner with one or more academic teams in the faculties/centres) The UTS Research Environment (Staff Connect home) includes the UTS research strategy and the first UTS Data Science Symposium held in 2015 Researcher development on Staff Connect Re...
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CIC Doctoral Study Plan and Progression

Doing a PhD at UTS:CIC - What is expected Stages 1-3 In CIC, HDR students become an integral part of the team, working alongside academics and professional staff to make an impact in the university and on human knowledge.  We’re a transdisciplinary centre, bringing our collective intelligence together to tackle data-driven problems with creative, human centred, approaches. You’ll be required to complete a doctoral study plan. This should be proposed at the start of the year, and then reviewe...
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Bridget Payne

For the month of June, CIC's admin assistant, Bridget travelled to Bangalore, India to take part in a volunteering internship program with 40K Globe. 40K Globe carries out programs in rural India where Australian university students work on hands-on programs, creating entrepreneurial solutions to issues such as access to education, waste and employment for women. UTS has partnered with 40K Globe to provide grants to UTS students wishing to participate in the 40K Globe program. As part of her ...
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Ecopolicy – a simulation game for students

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CIC have recently submitted a grant application for the use of a simulation game (called Ecopolicy®) in sustainability and management subjects in the Faculty of Design, Architecture and Building (DAB). This project is aimed at developing the pedagogical strategies and exploring the learning analytics requirements using Ecopolicy® to teach about sustainability, complexity and systems thinking as an active learning experience. It will help to develop ‘blended’ learning approaches in undergraduate ...
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WELCOME

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CIC is a catalyst for the applications of Data Science within UTS teaching, learning and research. CIC's focus is the theory, design and evaluation of Human-Centred Analytics — in education and society at large. Enjoy our site and learn more about how we teach, research and practise Data Science. . .
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