Big Data - Possibilities, Processes and Pitfalls
A presentation on modern "Big Data" issues by Steven Stern, currently the Professor of Data Science at Bond University. Prior to the presentation, at 3:30 pm, there will be a guided tour of the Bond University Big Data Analytics facility, followed by light refreshments.
Prof. Stern will guide us on a tour of modern "Big Data" ideas and issues. We will explore the immense range of possible applications as well as the potential limitations with regard to lack of proper foundation. In addition, he will outline some of the many and varied work that has been done by him and his colleagues in the theory and application of "Big Data" projects, from applications in sports science to medicine to sampling theory and design.
Date and Time
Location
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- Date: 31 Oct 2018
- Time: 04:30 PM to 05:30 PM
- All times are (UTC+10:00) Brisbane
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- Bond University
- 14 University Drive
- Robina, Queensland
- Australia 4226
- Building: Building 2
- Room Number: Big Data room (BLD_3_09)
- Contact Event Host
- Co-sponsored by Bond Business School, Bond University
Speakers
Prof. Steven Stern of Bond University
Big Data - Possibilities, Processes and Pitfalls
We will take a tour of modern "Big Data" ideas and issues. We will explore the immense range of possible applications as well as the potential limitations with regard to lack of proper foundation. In addition, I will outline some of the many and varied work that has been done by myself and colleagues in the theory and application of "Big Data" projects, from applications in sports science to medicine to sampling theory and design.
Biography:
Steven Stern is currently the Professor of Data Science at Bond University. Previously, he was the ABS Chair of Statistics at Queensland University of Technology from 2013 to 2016 and prior to that was on the Faculty of the Australian National University for two decades. He received his Bachelor's Degree in Mathematics in 1986, his Master's degree in Applied Statistics in 1987 and his PhD in Mathematical Statistics in 1994 all from Stanford University. He is an award winning teacher, receiving the Vice Chancellor's Award for Teaching Excellence from ANU in 2002 and has been recognized by the Australian Teaching and Learning Council for his work in statistical education. In addition, he is a highly sought after data analyst and consultant, having undertaken work for numerous government departments and industry bodies. His research interests cover the full range of data analytics and statistical methodology, but he is probably best known for his work in sports statistics and is currently the custodian and co-creator of the Duckworth-Lewis-Stern method, the official approach to handling interruptions in international limited over cricket matches.