State of Open Con 2023

In a fast-paced data-driven world; where we grapple with urgent crises such as the pandemic and climate change as well as constantly witness the importance of open source practices to speed up the process of creating data-informed solutions; it is crucial to radically change the way we conduct data science and research. It is important to shed light on best practices for open source as well as research infrastructure roles to integrate those practices in all data science and AI projects. Learning from a decade-long movement on research software engineering (RSE) roles and the ever-growing trend of Big Team Science, we need to invest in more experts who bring crucial skills to supercharge data science and AI projects while operationalising open source and collaborative ways of working. By learning about and contextualising research infrastructure roles, data science best practices and associated policies, community members will leave the session with a new understanding and practical ways they can reimagine data science roles and successfully implement open source in their individual projects as well as at the organisation level.