Researcher Hour

Come and join fellow researchers, research students and research support staff in an informal meetup session to get you moving on with your research. We support researchers and research students by presenting them with available options for data storage and compute, data analysis and advisory, training and other research related services. In this collaborative environment, we troubleshoot digital research challenges researchers and research students may be having.

Researcher Hour occurs every Wednesday from 12:00 pm to 1:00 pm AEST. These sessions feature occasional presentations on research-related topics. These sessions are hosted online via Teams.

We have scheduled the following presentations during the Researcher Hour:

Researcher Hour presentations

Confirmed events:

• ARDC Nectar Cloud and how it can help your research - 4th October - Sonia Ramza ARDC.

Description: If you need additional computational power to make your analysis run faster, the National eResearch Collaboration Tools and Resources Project (NeCTAR) is for you.

Given the increase in the need to process large datasets and access high end computing resources, research institutions are turning to the use of the Cloud. In this presentation, you will learn about the services available from the ARDC Nectar Research Cloud including the Dashboard, Virtual Desktop, BinderHub and more.

Sonia Ramza bio: Sonia is the User Support Manager for the ARDC Nectar Cloud.

• Analysis of extreme events with copulas - 29th November - Thong Nguyen UniSQ.

Description: Do you want to analyze extreme events like flood and drought? Or extreme performance in the stock market or academic performance of students and their attitudes?

Extreme events like drought, financial crisis, high or low student performance are difficult to model with normal distribution. For example, the Pearson correlation assumes that the variables to be analysed are normally distributed which is rarely so in the case of extreme events. Consequently, researchers are using copulas to measure the relationship of these extreme values because they do not require the assumptions of a Gaussian normal distribution. In this presentation, you will learn about the different types of copulas used to model extreme variables.

Upcoming events:

• RShiny App for research data presentation
• Data analysis with Structural Equation Model (SEM)
• Research Data Management at SCU
• Basic graphics with python
• Using Bunya - UQ High Performance Computer
• Sensitive data - tools and policies

FAQs

What should I bring to this event?

You do not need to bring anything. However, you can come to ask questions or interact freely at the event.

What if I am late for the event?

You can join the event or leave Researcher Hour at any time. This is essentially a lunch-and-learn event.

Who should attend?

Anyone who has a research project, is part of a research project and willing to ask or answer questions or contribute to other researchers' concerns.

How can I contact the organizer?

You can contact us at digital.research@scu.edu.au