Modern research and data science rarely happen in isolation. Whether you are working on scripts, analysis pipelines, or full software projects: collaboration, version control, and reproducibility are essential for producing reliable and reusable results. Good software practices not only make your code easier to share and maintain, but also ensure that others, including your future self, can understand and build on your work.

The course introduces practical approaches to collaborative and FAIR software development. Through hands-on exercises, you will learn how to manage code using distributed version control, collaborate effectively with others, and structure projects in a clear and reproducible way. The course also covers testing, documentation, and environment management, helping you move from individual scripts to well-organised, shareable software projects.

Sharing knowledge effectively is as much about how you teach as what you teach. Whether you run workshops, mentor colleagues, or consult on projects, understanding how people learn, how to design engaging sessions, and how to manage knowledge exchange efficiently is essential. In bioinformatics and data science, strong teaching and consulting skills help ensure your work has a lasting impact beyond your own analyses.

This hands-on workshop combines evidence-based teaching methods with practical consulting strategies. Through interactive exercises and real-world examples, you will explore adult learning principles, inclusive and learner-centred approaches, and hands-on techniques to structure workshops and deliver clear instruction. You will also learn how to survey training needs, manage consultancy tasks and projects, and prioritise between multiple responsibilities; equipping you to communicate effectively in both educational and professional settings.