Promoting interdisciplinary and critical research in data science
Experts in data science
Facilitating the transformation of UNIGE researchers' scientific practices through the development of data science service
On a bimonthly basis, an interdisciplinary meeting will be organized to allow researchers - who have requested it - to share with data science experts certain concrete problems they encounter in the treatment of their research data. To be dealt with during these sessions, these questions must have the potential to give rise to the development of mutually beneficial collaborations between these researchers (publications or joint research projects).
Three seminars per year will be organized around themes linked to data processing. These themes were highlighted by the researchers gathered during the April plenary session. In 2020-21, Data Science Seminars will address the following themes "Data quality and bias", "International collaboration and sharing of data", and "Data status and protection".
Supporting the development of the transversal training offer in data science at the UNIGE
In order to identify the learning possibilities in data science offered by our institution, a mapping will be carried out, which will cover both the faculty offers, but also the training provided by certain departments and divisions (DIS, DISTIC, etc.).
A working group will be set up to develop a skills repository related to data science, as well as to identify the internal training offers at UNIGE (identified by the mapping) and the complementary external offers, by which these skills could be reinforced.
Improving the visibility and accessibility of UNIGE's expertise in data science