Project Roles and Responsibilities

Project Lead

The project scientist will lead a Waterhackweek project. In this role, the project scientist will:

pitch project and interact with all interested participants during networking.
coordinate team building with other instructors to an optimal size of 4-7 total participants per team.
populate original GIthub project repository and readme following the Project Guidelines.
coordinate with 1-2 Data Scientists to support the team, especially for the development of Github workflows that work for everyone to be able to contribute code.
oversee data management; be sure you have permission and consent to use data you share in the project and follow professional standards while using data for training that may be used in future publications. Here is a good resource on publication of data and consent ethics.
facilitate team work.
coordinate team activities and code to answer the reserch question; data, code, and tools originally proposed may change.
make sure that everyone partcipates in the project.
support each individual on your team to meeting their individual goals.

The data scientist lead:

will be responsible for supporting at least one project, and expected to float around as needed.
will advise teams regarding applying best data science practices and methodologies.
will help coordinate a Github workflow that works best by facilitating team conversations.
enable and encourage participants to solve their problems in a way that builds confidence in their skills. For example, look for how people improve from their baseline level over the week and point those improvements out to them.
any group or individual can ask any data scientist for help.
interact with as many people as possible.
be in tune with progress toward individual goals (discrete daily personal brief checking).