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.
The workshop encourages collaboration between participants, rather than competition, and provides extensive opportunities each day for participants to work with each other to build their skills with water data. We welcome applications from researchers from all domains of water-related study, at all stages in their careers, as well as from government, non-profit and private industry. We particularly encourage requests to attend from junior participants and people who are new to data-driven science.
Because Waterhackweek is a new and evolving format for data science training, in 2019 we recorded a cyberseminar series to introduce participants to the range of topics. Although space at our Seattle event is limited, all seminars and tutorials are available to the public (link to 2019 Waterhackweek Cyberseminar series - CUAHSI); project data and tutorial resources are publicly available on our Github organization, and HydroShare group. For an example of topics and schedule, please see the Waterhackweek 2019. Schedule.
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.