Research Assistant, Women in Data Science and Ai

2 weeks ago

London, United Kingdom Alan Turing Institute Full time

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

Please find more information about us here

**Position**:
The Public Policy research programme works alongside policy makers to explore how data-driven public service provision and policy innovation might help to solve long running societal problems. We also work hand-in-hand with public sector organisations and citizens to develop practice-based ethical standards for the responsible development and use of data science and AI.

The Alan Turing Institute is recruiting a Research Assistant to assist with research in the Women in Data Science and AI project, which sits within the Turing’s Public Policy programme. The project works alongside policy makers and industry stakeholders to conduct actionable research exploring the ethical, economic and governance-related issues stemming from gender inequalities in AI.

**ROLE PURPOSE**

The Public Policy programme is recruiting a Research Assistant to work on the Women in Data Science and AI project. The RA will provide crucial support for our ongoing work.

**DUTIES AND AREAS OF RESPONSIBILITY**

The core responsibilities of the Research Assistant are as follows:

- Assist the Public Policy programme’s Women in Data Science and AI project in the development and delivery of research outputs. This work may include both desk and field research duties, with a view to creating actionable data-driven insights, policies and other recommendations;
- Participate in knowledge exchange activities as appropriate, for example, assisting in the preparation of research outputs and resources tailored to different audiences, ranging from policy makers to researchers, industry and the general public. This includes helping to write, edit and format briefing papers, articles, websites, blog posts and other reports;
- Conduct a large-scale literature review, including synthethsising efforts already undertaken by the project;
- Support as well as lead on exploratory mapping and scoping work around data availability and access, relevant work and intiatives - such as on diversity in Venture Capital in the AI fields - as well as relevant industry policies and AI systems;
- Stay up-to-date with progress in related fields;
- Participate in internal meetings with relevant groups, including the Turing’s Equality, Diversity and Inclusion (EDI) stakeholders, as well as external meetings with representatives of government agencies, industry and potential partner organisations;
- Assist with website, Mendeley and project documentation maintenance, and other public engagement and administrative tasks as necessary;
- Manage work-plans, shared folders and team meetings to ensure smooth running and timely delivery of objectives.

**Requirements**:

- A Master’s degree awarded in a discipline with a specialism that provides suitable tools for understanding the issues raised by data science, AI, and related digital technologies, and their social implications, such as Science and Technology Studies (STS). Equivalent professional experience will also be considered.
- Experience researching in an area related to the social science of technology (e.g. feminist technology studies), and within related organisational settings such as governmental agencies, industry or the third sector.
- Project management/administrative experience.
- Any one or more of the following: (1) Have worked on topics related to intersectional gender and racial biases in AI and machine learning (e.g. in recruitment software, facial detection systems and voice assistants); (2) have familiarity with topics related to critical data studies and data justice, such as data feminism; (3) have familiarity with the sociology of organisations; (4) understand social data science; (5) knowledge of critical algorithm studies; (6) knowledge of information sciences; (7) familiarity with fairness, accountability and transparency in machine learning; 8) familiarity with literature exploring gender gaps in the innovation landscape (e.g venture capital and start-up ecosystem).

**Other information**:
**TERMS AND CONDITIONS**

**EQUALITY, DIVERSITY AND INCLUSION**

We are committed to making sure our recruitment process is accessible and inclusive.

**APPLICATION PROCEDURE**

**CLOSING DATE FOR APPLICATIONS: Monday 23rd January 2023 at 23:59**
- The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter._
- We are currently assessing the results of our hybrid working trial, which ran for six months. We will soon publish a long-term workplace policy: as a guide, we anticipate this will be between 2-4 days per month. Some roles may require the jobholder to spend a greater number of days in the office, but the hiring manager

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