Tools practices and systems at the Turing Kirstie

Tools, practices and systems at the Turing Kirstie Whitaker Pronouns: she/her @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519

Photo by Ishan @seefromthesky on Unsplash @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519

Picture credit: Chris Gorgolewski @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519

Data science is: – innovative – collaborative – interdisciplinary research delivered by teams of experts https: //www. luther. edu/computer-science/ data-science-major/why-study @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519

– Trustworthy systems – Transparent reporting – Inclusive interoperable design – Ethical integrity – Respectful co-creation – Leadership in open research @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519

https: //the-turing-way. netlify. com/introduction https: //github. com/alan-turing-institute/the-turing-way @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519

https: //the-turing-way. netlify. com/diving_into_leadership. html @kirstie_j https: //github. com/alan-turing-institute/the-turing-way/issues/960 https: //doi. org/10. 5281/zenodo. 3871519

Missingness and Bias as Data Psedu. ID Age Gender Income Rejections Grant/Papers 753 22 Male £ 30, 000 -£ 40, 000 3 158 45 Male £ 50, 000 -£ 60, 000 10 635 NA Female £ 10, 000 -£ 20, 000 0 457 58 Male NA NA 593 36 Female £ 40, 000 -£ 50, 000 5 943 62 Female £ 50, 000 -£ 60, 000 NA 22 74 Male NA NA Missing Completely At Random (MCAR) Missing At Random (MAR) Not Missing At Random (NMAR) Participatory Design of Participatory Platforms’; Ana Basiri, Nathanael Sheehan, Terry Lines, Nishit Biswas https: //www. indicativedatascience. com, abasiri@turing. ac. uk @kirstie_j https: //doi. org/10. 5281/zenodo. 3859613 https: //doi. org/10. 5281/zenodo. 3871519

How to not miss the minorities? – Who are the ‘Crowd’? Keep representative democracy in mind! – Diversity by Design, Follow-up on missingness (contributors and contributions) – When Missingness happens, lets put them all together! Mass imputation needs collaboration and co-operation! Participatory Design of Participatory Platforms’; Ana Basiri, Nathanael Sheehan, Terry Lines, Nishit Biswas https: //www. indicativedatascience. com, abasiri@turing. ac. uk @kirstie_j https: //doi. org/10. 5281/zenodo. 3859613 https: //doi. org/10. 5281/zenodo. 3871519

Get involved – Survey: https: //bit. ly/tps-os-survey – Open source contributions – Newsletter: kdixey@turing. ac. uk – Pull request of the month – Git. Hub: https: //github. com/alan-turinginstitute/tps-project-management – Chat: #tps on https: //alan-turinginstitute. slack. com – Next seminar: 24 June at 12: 30 pm UK – Looking for speakers! @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519

Thank you – James Hetherington – Jon Crowcroft – Martin O’Reilly – TPS project leads – Turing EAG and Public Policy Programme – Evelina Gabasova – Turing REG – James Geddes – Turing Way community – Amber Raza – Whitaker lab – Katherine Dixey research group @kirstie_j https: //doi. org/10. 5281/zenodo. 3871519