Objectives

Objectives

targeted Population

Projects 2020-21


Promoting interdisciplinary and critical research in data science

Experts in data science

The UNIGE's Data Science Days are a two-day scientific symposium which will take place in June 2021. For the first edition, the theme will be “Epidemics and (Big) Data: contributions and challenges of data science in the study of diffusion phenomena ”.

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In preparation for the UNIGE’s Data Science Days, an interdisciplinary call for projects will be launched in September 2020.

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In order to define a common language among the disciplines, a working group will be set up to develop an interdisciplinary lexicon in data science.

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Facilitating the transformation of UNIGE researchers' scientific practices through the development of data science service

Researchers

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).

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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".

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In order to promote permanent exchange between CCSD members, the network of data science experts will remain accessible at all times through the creation of a platform allowing members to interact on specific questions.

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Supporting the development of the transversal training offer in data science at the UNIGE

Students

The Center will support the establishment of a Summer School in data science in the summer of 2021.

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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.).

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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.

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Improving the visibility and accessibility of UNIGE's expertise in data science

City

In order to make visible and accessible the expertise of UNIGE collaborators in data science outside, but also inside our institution, an interactive skills directory will be integrated into the Centre's website.

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In order to reach a wider audience, the Center will publish podcasts presenting the research of its members on a monthly basis.

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Based on possible proposals from members of the Center and depending on the resources available, conferences for the general public can be organized on specific research themes.

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