Enabling Open Science Through Research Code


Are you a researcher who writes code as part of your work? Join us for the upcoming six-part series to learn good practices, grow your network, and showcase your work!

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Past Episodes

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Programme Committee



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Anelda van der Walt

Talarify

Digital Research Enabling Consultant

Anelda is the founder of Talarify, a South African consulting company that was established in 2015. She uses her wealth of knowledge about the local research ecosystem, and her experience in interdisciplinary research and open science to create contextualised capacity and community development programmes. Her focus is mostly on capacity development in the digital research infrastructure space including open science, reproducibility and interdisciplinarity.

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Jyoti Bhogal

RSE Asia Association

Statistician

Jyoti is a trained Statistician, a Software Quality Engineer, and a Data Modeler. She is proficient in R, Python, JavaScript. Jyoti is the co-founder of RSE Asia and currently works with ReSA as the Asian Community Engagement Partner. She has been working in Clinical Sciences since 2020; and has developed expertise in principles of good software development life cycle, and Clinical Trials R&D cycle. She is an open source enthusiast, and is keen on giving the young minds the exposure to the unconventional yet essential roles in tech.

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Mireille Grobbelaar

Independent

MSc Data Science Candidate

Mireille qualified with an MSc in Physiological Sciences after which she enrolled for a MSc in Data Science. She’s currently a parttime learning assistant for data visualisation and AI at 2U (edX) and have been instrumental to the operations of RSSE Africa since 2023.

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Richard Dushime

Independent

Community Focused and Open Source Developer

Richard is a passionate open source contributer and organiser of Google Developer Groups in Sub-Saharan Africa. He’s been involved in RSE communities as secretary of the RSE Asia Australia Conference and independent contributor to RSSE Africa. Richard is committed to building and empowering communities in research software engineering and data science realms.

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Saranjeet Kaur Bhogal

Imperial College London

Research Software Engineer

Saranjeet is a Research Software Engineer with a background in Statistics. She is a strong advocate of Communities of Practice, Open Science, and Open Source. She is the Lead and Co-founder of the RSE Asia Association and was an International Fellow of the 2023 Software Sustainability Institute. In 2022 Saranjeet was awarded the Research Software Engineering Impact Award by the Society of Research Software Engineering.

Our Partners


The series is a collaboration between Talarify, RSSE Africa, RSE Asia, the African Reproducibility Network, and the Research Software Alliance.

Acknowledgements

Brainstorming and Inspiration from the African Reproducibility Network


In preparation for this series we spent several hours brainstorming with the co-founders of the African Reproducibility Network Lamis Elkheir and Emmanuel Boakye. Both Lamis and Emmanuel have extensive experience in creating accessible communities and we hoped to learn from their successes and challenges. We are tremendously greatful for their input, and even though we cannot implement all the ideas we came up with due to resource constraints, we hope to explore opportunities to co-organise more such events in the near future.

Inspiration and Training Resources from CodeRefinery


The series agenda was inspired by content from CodeRefinery. CodeRefinery is a project within the Nordic e-Infrastructure Collaboration.

They offer training opportunities to researchers from Nordic research groups (but aim to expand beyond Nordics) to learn basic-to-advanced research computing skills and become confident in using state-of-the-art tools and practices from modern collaborative software engineering.

They also develop and maintain training material on software best practices for researchers that already write code. Their material addresses all academic disciplines and tries to be as programming language-independent as possible.

View their lessons, mostly developed under open licenses (e.g. CC-BY) on their website.