Data and decision science initiative - University of Wollongong

What is the Data and Decision Science Initiative?

The Data and Decision Science Initiative developed from a 2019 review of our capacity in “Big Data” and health informatics. The initiative is part of the 2020-2025 UOW strategic plan where data and decision science is recognised as an important component of the transformative models and technologies for our research, innovation and impact (section 2.5). Specifically, a UOW Data and Decision Science Initiative (DDSI) is listed as a component of delivering the UOW strategy. The National Institute for Applied Statistics Research Australia (NIASRA) plays a key leadership role in coordinating and delivering the initiative.

DDSI key areas

Research: Virtual network of Data and Decision Science researchers

Focal point for coordinating the development of Data Science at UOW
Composed of researchers actively using or interested in Data Science methods
Themed meetings emphasising translation
Initial focus on

existing collaborations in the areas of Health and Wellbeing and Social Analytics. Strategically collaborations through the DDSI give a competitive advantage in translation in health & well being
Researchers already engaged in Data Science (R and Python users)

External/Industry engagement: Capitalising on existing links

Data and decision science network will provide enhanced opportunities for external engagement

Education: Training in data science and reproducibility of research

Internal and external training and education in data science
Upskilling research students and staff (particularly Early Career Researchers) in data and decision science methods
Workshops (Graduate Research School, Statistical Consulting Centre)

T shaped graduates: Reviewing service subjects to refocus on data science

Review of service subjects in statistics and quantitative methods offered through the school of maths and applied statistics to give data science focus
Graduates literate in data science and reproducible research

The DDSI facilitates networking of researchers throughout UOW who use data and decision science or research data and decision science methodology. There is substantial overlap in current methodological requirements of data science, handling big data, and increased transparency in reproducible reporting of analysis between disciplines. The value add through the development of this network is the consolidation of resources and knowledge sharing, allowing the ability to improve research performance and industry engagement by the addition of novel and cutting edge data science methodology to grant applications, and upskilling of PhD students, post-doctoral and other research staff in data science methodology. Relevant methodologies include integration of data from multiple sources, analysis of linked data, reproducibility of research, machine learning, causal analysis of large-scale observational data, Bayesian design and decision making, ethics and privacy.

Watch some of our Data and Decision Science Network Presentations

Interactive Data Visualisation - Dr Bradley Wakefield
--"Interactive Data Visualisation" presentation slides, "Interactive Data Visualisation" scripts

The net benefit correspondence theorem - Senior Professor Simon Eckermann

Machine Learning Taster - Professor Alberto Nettel-Aguirre

Which stats package should I use? - Professor Marijka Batterham, Dr Brad Wakefield, Professor Alberto Nettel-Aguirre
--"Which stats package should I use?" presentation slides

Transparency and reproducibility for quantitative research: Like the Layers of an Onion - Professor Ben Marwick

Linked Sensitive Data - a Beginners Guide - Dr Felicity Flack

Jamovi, a free interface for using R - Dr Bradley Wakefield
--"Jamovi, a free interface for using R" presentation slides

Should I use R? - Dr Brad Wakefield, Professor Marijka Batterham
--"Should I use R?" presentation slides, "Should I use R?" seminar dependencies

Teaching Programming & Modelling to First-Year Undergraduates: Tips and Lessons Learned - Associate Professor Jenny Fisher

Causal Diagrams: A tool to better understand results from epidemiological and machine learning analyses - Associate Professor Ian Shrier
--"Casual Diagrams" presentation slides

Large Language Models and ChatGPT – Associate Professor Simon Angus
-- "Large Language Models and ChatGPT" presentation slides

Analysing data with ChatGPT 12th September 2023 - Marijka Batterham and Brad Wakefield
--"Using ChatGPT3.5 to Build Scripts in R" presentation slides, "Using ChatGPT to analyse data" presentation slides

Adopting free easy-to-use menu based statistical software: A demonstration of Jamovi, Jasp, Bluesky and R Commander 2023 Allied Health Research Forum - Marijka Batterham and Brad Wakefield
-- "T test in Jamovi and Jasp" presentation slides, "ttestdiabetes" dataset

Statistical Analysis Plans and Research Data Management: 28 November 2023 - Dr. Bradley Wakefield
--"Statistical Analysis Plans and Data Management" presentation slides

“ChatGPT for your data”, using Deepnote and other AI tools for data analysis 28^th March 2024 - Dr Colin Cortie and Professor Marijka
-- "“ChatGPT for your data”, using Deepnote and other AI tools for data analysis" presentation slides

From Bench to Bytes to ‘Bioinformatician’ 2nd May 2024 - Dr Dezerae Cox combined Molecular Horizons and Data & Decision Science Network Seminar
-- "From Bench to Bytes to ‘Bioinformatician’" presentation slides

Common mistakes in statistics and how to avoid them 9^th October 2024 – Professor Marijka Batterham and Dr Brad Wakefield, a combined Health Innovations /Data & Decision Science Network Seminar
-- "Common mistakes in statistics and how to avoid them" presentation slides

The figure outlines newly created teaching and education developments involving data science. These include developments in undergraduate and postgraduate degrees, liaising with the Graduate Research School to develop postgraduate training in Data Science, developed and planned internal and external short courses which can be developed into modules for micro-credentials.

For further information contact: Professor Marijka Batterham, Coordinator of the DDSI

+61 2 4221 8190 marijka_batterham@uow.edu.au