This is the second in a series of online events exploring the culture and practice of open research.
Reproducibility is a critical part of research but often we dont start our research projects with ensuring reproducibility in mind (we want to get straight to the research!).
Thankfully, theres a large array of useful tools and techniques for ensuring our work is reproducible which can help super charge our research projects and ensure we have lasting and impactful outcomes.
Alex Coleman is a Research Software Engineer from the Research Computing Team at Leeds who can help researchers implements these various tools. Previously Alex was a Data Scientist Intern with LIDA while finishing his PhD in Molecular Virology.
Daniel Valdenegro Ibarra is working towards a PhD in the School of Politics and International Studies. Daniel is interested in the use of "big data" from digital sources -such as social media, IoT or just general digital footprint- to model human behaviour.