Improving researcher training through commercial partnerships
Dr Darya Vanichkina1, Dr Nathaniel Butterworth1
1Sydney Informatics Hub, University of Sydney, Australia
The Sydney Informatics Hub (SIH) is a core research facility of the University of Sydney, working with the research community to maximise the value and impact of data to achieve research excellence in all spheres. In 2020, we trialled the development and delivery of one of our specialised data science courses – “Python for Geoscience” – to external parties, originally as part of an engagement with the Petroleum Exploration Society of Australia (PESA). Subsequently, we delivered it to another group organised by PESA and for staff at a large Australian natural resources company.
In this talk, we will discuss how engaging with industry groups and employees from across the Australian energy sector (BHP, Santos, Beach Energy, Petrosys, Origin, NGI etc) enabled us to refine and iteratively improve our training materials and pedagogy. As a result, the final content and approaches of our workshop supported not only best research practices, but also the dataset types, questions and problems that staff in industry grappled with on a day-to-day basis. This approach, to the best of our knowledge, has not been widely explored by leading Australian digital skills training providers. It opens the possibilities for researchers to engage in data-intensive partnerships with industry groups and organisations.
This presentation will be of interest to training providers, university groups and other digital skills practitioners working in the eResearch space.
Darya Vanichkina is a Data Science Consultant and Analytics Trainer at the University of Sydney’s Informatics Hub (SIH). She delivers impact through solving research questions using big data, programming, machine learning, high performance & cloud computing. Darya develops and delivers materials, and trains others to do the same by leading the SIH data science training program, coaching and mentoring other data scientists in the team via workshops and guidance around evidence-based training practices. Darya holds a PhD in Genomics and Bioinformatics and is a Fellow of the UK HEA.