Episode 2: Enabling Reproducibility through Research Code


14 November 2024 @ 8:30 - 10:00 am UTC (your local time)


Do you spend a lot of time using programming to analyse your data, develop workflows, build models or create visualisations?

This episode will focus on steps to take, to ensure your code enables reproducibility in your research project. We’ll explore a variety of topics ranging from easily implementable, small changes that can make a huge difference (such as having a good directory structure), to more complex practices like the use of containers to manage versions and dependencies.

Our Speakers

Watch this page for updates on our speaker panels!

Dr Gaurav Bhalerao

Tokyo University of Agriculture and Technology, Japan

Project Researcher


I worked as a technical staff member at RIKEN for 11 years, during which I became familiar with research software communities such as PyData and Bioconductor, and released several research software packages. I am interested in contributing to the open science community.