Abstract

Knowledge equity is a foundational principle of the Wikimedia movement. It drives efforts to break down the social, political, and technical barriers preventing people from accessing free knowledge. In this talk, we will see how computer vision and natural language processing can support knowledge equity and help democratize the access to free knowledge. We will look at research that can help us identify, measure and bridge knowledge gaps in Wikimedia projects. We will dive into research that studies Wikipedia through the lenses of its readers, and technologies that bridge content gaps in Wikipedia and Wikidata. We will discuss current work in these spaces, with a focus on open questions and future research.

Biography

Miriam Redi is a Research Manager at the Wikimedia Foundation and Visiting Research Fellow at King's College London. Formerly, she worked as a Research Scientist at Yahoo Labs in Barcelona and Nokia Bell Labs in Cambridge. She received her PhD from EURECOM, Sophia Antipolis. She conducts research in social multimedia computing, working on fair, interpretable, multimodal machine learning solutions to improve knowledge equity.

How to join

For external visitors, please email Alfie Abdul-Rahman (alfie.abdulrahman@kcl.ac.uk) to arrange access.

Location: Bush House Centre Block, (S)5.01