Hacking Science: Hack Weeks as a Model for Education and Collaboration in Data-Intensive Research

Across many scientific disciplines, including physics and astronomy, methods for recording, storing and analyzing data are rapidly increasing in complexity. Skillfully using data science tools that manage this complexity requires training in new programming languages and frameworks, as well as immersion in new modes of interaction that foster data sharing, collaborative software development and exchange across disciplines. Learning these skills from traditional university curricula can be challenging because most courses are not designed to evolve on time scales that can keep pace with rapidly shifting data science methods. In this talk I will introduce the concept of a hack week as a novel and effective model offering opportunities for networking and community building, education in state-of-the-art data science methods and immersion in collaborative project work. I will present some examples of how hack weeks have been implemented across a number of scientific disciplines, including astronomy, show results from both hack projects and evaluation efforts, and share some practical advice for implementation, with a focus on fostering welcoming and positive spaces for a diverse group of participants throughout these events.