Data Study Groups (DSG) are the Turing’s version of a hackathon, yet much more collaborative in nature. DSG events are held a number of times over a year. They provide an engagement tool for postgraduate students and above (participants), as well as industry, government and third sector (Challenge Owners, CO) to engage with the Turing Institute. For participants it is a training activity, primarily peer to peer learning, where they get to work on real-life data science problems. For COs, it is an entry level engagement tool to working with the Turing, with our objective to develop the outputs of the DSG into further and bigger research projects.
DSGs require both logistical planning and data science expertise to help prepare challenges for the events, which is provided by a multidisciplined team coordinated by the Institute.
ROLE PURPOSE
The DSG Principal Investigator (DSG PI) will be required to take academic ownership of a singular DSG challenge. They are responsible for:
Scoping the overall DSG challenge into something that will be suitable for DSG participants
Supporting the DSG participants during the event and acting as quality control on what they write, code and developed solutions, (e.g., completeness and scientific integrity)
Reporting to ensure the final report is of publishable quality for the Turing website, qualifying the outcomes and suggesting how the DSG project can be developed into a broader and longer-term research project.