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New Paper: Integrating FATE/Critical Data Studies into Data Science Curricula: Where are we going and how do we get there?

New Paper: Integrating FATE/Critical Data Studies into Data Science Curricula: Where are we going and how do we get there?

A number of Information School academics have published a new paper for the ACM Conference on Fairness, Accountability, and Transparency.

The paper (published by Dr Jo Bates, Dr David Cameron, Dr Alessandro Checco, Professor Paul Clough, Dr Frank Hopfgartner, Dr Suvodeep Mazumdar, Dr Laura Sbaffi, Dr Peter Stordy, and Dr Antonio de la Vega de León) reflects on the ethical and practical aspects of teaching critical data science to inform future data practices & make them fair. 

Abstract: 
There have been multiple calls for integrating topics related to fairness, accountability, transparency, ethics (FATE) and social justice into Data Science curricula, but little exploration of how this might work in practice. This paper presents the findings of a collaborative autoethnography (CAE) engaged in by a MSc Data Science teaching team based at University of Sheffield (UK) Information School where FATE/Critical Data Studies (CDS) topics have been a core part of the curriculum since 2015/16. In this paper, we adopt the CAE approach to reflect on our experiences of working at the intersection of disciplines, and our progress and future plans for integrating FATE/CDS into the curriculum. We identify a series of challenges for deeper FATE/CDS integration related to our own competencies and the wider socio-material context of Higher Education in the UK. We conclude with recommendations for ourselves and the wider FATE/CDS orientated Data Science community.

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