In October 2020 we invited quotes for the provision of Carpentries-style data science course curricula<
The Software Sustainability Institute is excited to announce its involvement in three successful bids to the UKRI Innovation Scholars: Data Science Training in Health and Bioscience initiative. The programme’s key objective is to produce training opportunities for researchers in areas ranging from bioinformatics to the social sciences, to give them the self-confidence and skills to manage and analyse their data.
The winning proposals for our call for developing training materials for data science have been chosen.
We are inviting quotes until 30 November to deliver a programme of data skills training for the Scottish workforce.
The SSI is currently supported by the Scottish Funding Council’s (SFC) Upskilling Fund to deliver a programme of data skills training for the Scottish workforce. We are inviting quotes for the provision of a course curriculum.
The call for submissions is now open for the DataTech20 conference in Glasgow on 16 March 2020.
Data Science for Doctors, developed by the Software Sustainability Institute’s Fellow Steve Harris, is a programme based on The Carpentries’ Data Carpentry aimed at teaching health care professionals basic concepts, skills and tools for working more effectively with data.
A Rice University scientist and his colleagues are using their search for dark matter in a study they hope will enhance all of data science.
By Grai Calvey, Fiona Jones and Heather Cooper Drawing on Library Carpentry lessons, pedagogy and community.
Stop, collaborate and listen: Gender equality in social data science Join us for an evening discussion with a panel of leading computational social scientists and data scientists on collaboration, equality, and skills future social scientists need to work with big data.
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By Reka Solymosi, Software Sustainability Institute Fellow. From 4 – 5 April 2019, I attended the Women in Data Science Zurich 2019 conference as an invited speaker to talk about my research involving ‘new’ forms of data. In particular the use of crowdsourced data collection methods to gain insight into people’s perceptions and subjective evaluations of their environments.