Introduction

The Women in Data Science and AI project sits within the public policy programme at The Alan Turing Institute. We work alongside policy makers and industry stakeholders, offering actionable insights and recommendations to tackle the multifaceted ethical, economic and governance-related issues stemming from inequalities in AI.

Two women working on the ENIAC computer
Women working on one of the first electronic computers, the ENIAC, in the 1940s (Wikimedia Commons)

Current work

Diversio logo

In collaboration with Diversio, an AI-based diversity, equity and inclusion (DEI) platform, this research explores behavioural and structural inclusion challenges faced by women in technology companies. 

We are using Diversio’s database and employee public review websites’ data to analyse, and therefore tackle, diversity and inclusion pain points (e.g., pay gap, leadership diversity) within the technology industry across Canada, United States and the United Kingdom.

Stack overflow

Stack Overflow, the world’s largest question-and-answer platform of programming knowledge, is a key site for establishing technical expertise and reputation. The overrepresentation of men among the site’s elite may therefore compound the barriers to women’s participation in computing.

Using historical posts, answers and comments from the platform’s archive, our research explores how gender mediates reputation and knowledge creation on the platform, with the aim of providing actionable recommendations for inclusivity in online forums.

Research toolkit

Diversity Dashboard

We developed a tool, the ‘Diversity Dashboard’, to offer insights into gender inclusion within online tech workplaces. The Dashboard was designed for use by technology companies, running internally on top of GitHub and Slack, to measure and highlight in real-time potential differences between the treatment of men and women.

To find out more about the tool please watch the demo video below and read the information sheet.

LinkedIn scraper

We developed a new and innovative tool for scraping LinkedIn's profiles to access information regarding individual’s job, skills and educational backgrounds in the data and AI fields. For more information, please reach out via our contact form.

About the Hub

The Women in Data Science and AI’s Hub is a digital platform for women and marginalised groups interested in joining, or already involved in, the data science and AI community. Through our curation of relevant organisations, networks, guides, and educational resources, we aim to encourage increased participation and advance gender diversity within the data science and AI industry.

Visit the Hub

Diversity in AI will take more than scholarships
AI Gender Bias is No Glitch in the System – UN Report
AI, bro? No! How do we stop AI being the next tech 'bro' domain?
Facebook accused of discrimination after mechanic and pilot jobs targeted at men
Does data science have a dangerous gender gap?
He Is A Doctor, She A Nurse: How Language Carries Gender Bias Into Algorithms, Perpetuates Status Quo
View all

Organisers

Professor Judy Wajcman

Professor of Sociology, The London School of Economics and Political Science and The Alan Turing Institute Fellow

Researchers and collaborators