Seminar: Using AI to Transform EDI Research
In this Research Methods Seminar, researchers from the Autonomy Institute showcase their in-house artificial intelligence tool for qualitative data analysis.
Published : 13/05/2025
Using AI to Transform EDI Research
The Autonomy Institute is a data-driven research and consultancy not-for-profit, focusing on work and climate, who are co-investigators on the EDI Caucus. Scribe is Autonomy’s in-house AI tool designed to transform how researchers engage with unstructured text data from surveys, interviews, and consultations—making it especially powerful for equity, diversity, and inclusion (EDI) research. By clustering responses, identifying emergent themes, and quantifying qualitative patterns, Scribe allows researchers to surface insights from diverse voices at scale while maintaining traceability back to original responses. In this session, Lukas and Sean demonstrate how Scribe could enable a more inclusive approach to qualitative analysis—supporting mixed-methods research, participatory studies, and intersectional inquiry by removing bottlenecks in processing and interpretation. Rather than replacing the researcher, Scribe augments their work—expanding what’s possible in EDI-focused empirical inquiry.
You can see the Scribe demo tool by clicking here.
Panellists
- Dr Lukas Kikuchi
Lukas is one of Autonomy’s co-directors and is head of the Autonomy Data Unit, where he leads our team to develop new, innovative data tools and analysis. He uses skills developed through doctoral research into statistical physics and stochastic processes at the University of Cambridge.
At Autonomy, Lukas has led the majority of our quantitative research projects including our work with Warrington Borough Council on their future Skills Commission. He was the lead developer of Scribe, the augmented research tool for processing large volumes of qualitative information that we will adapt in this project. Lukas also built Autonomy’s Annual Deprivation Index (ADI), an annual measure of geographical deprivation and prosperity in England and Wales improving upon the Index of Multiple Deprivation.
- Sean Greaves
Sean is a machine learning solutions engineer, and joined Autonomy last year following data-based fellowships and collaborations with Bellingcat and the Strelka Institute.
At Autonomy, Sean explores the potential of AI for progressive change. This includes leading the development of our GERM tool – the Geopolitical and Environmental Risk Monitor – and deploying Scribe to support our four-day week consultancy work, analysing hundreds of survey responses with open-ended questions.

Report of Findings
Read our published findings of our survey of Covid-19’s impact on careers.
Other related resources
EDICa hosts a regular blog and seminars, as well as collecting a library of resources of equality, diversity & inclusion practices in research & innovation.

Research Methods: Social Network Analysis
A lunchtime seminar on using social network analysis to study gender in academic networks. 11 June 13:00-14:00 BST

Report on peer review bias in the funding process
Date: 4th April 2024
Evidence review on peer review bias in the funding process.

Video: What barriers are faced by neurodivergent researchers?
Date: 3rd July 2022
Short 3-min information vide on what barriers neurodivergent researchers face.