The hackweek model has emerged within the data science community as a powerful tool for fostering exchange of ideas in research and computation by providing training in modern data analysis workflows. In contrast to conventional academic conferences or workshops, hackweeks are intensive and interactive, facilitated by three core components: tutorials on state-of-the-art methodology, peer-learning, and on-site project work in a collaborative environment. This setup is particularly powerful for sciences that require not only domain-specific knowledge, but also effective computational workflows to foster the rapid exchange of ideas and aid discovery.
Waterhackweek is pleased to join the ranks of other succesful hackweeks hosted at the University of Washington and eScience Institute, including Geohack, Oceanhack, Astrohack and Neurohackweeks. To read more about the hack week model, read the latest AGU EOS news on Geohackweek or a recent paper in PNAS by Huppenkothen et al., 2018.