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** Please arrive before 6 for pizza and refreshments!**

Hi everyone!

Do you want to increase the reproducibility of your work but don't know where to start? Are you overwhelmed by the mountain of packages and tutorials on offer? Have you picked up a few reproducible research tools already and are trying to decide what to learn next?

We are excited for our next guest speaker Cynthia Huang, who will share her experiences and attempts at answering these questions and more at our upcoming event.

Cynthia is a PhD Candidate in Econometrics and Business Statistics at Monash University. She is passionate about the interdisciplinary work of solving complex problems and the importance of open and reproducible science. Her current research focuses on the theoretical and practical challenges of applying deep learning methods to earth observation data.

Come along to this interactive discussion workshop where we will take a walk through the growing landscape of reproducibility tools, from version control and literature programming, to project environments and pipeline toolkits, and consider how to choose the next steps in your journey towards more open and reproducible data science.

This will be a hybrid event and zoom link will be provided prior to the event. We look forward to seeing you there!

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