About
Miriam Redi is a Researcher at the Wikimedia Foundation, where she has worked since 2017. She focuses on Computer Vision and Multimodal Machine Learning solutions to improve knowledge equity across Wikimedia projects. Her work intersects Responsible AI, Citation Integrity, and Visual Knowledge Representation.
Research Interests:
- Fair, interpretable machine learning systems
- Image recommendation algorithms for unillustrated content
- Quantifying knowledge gaps across Wikimedia platforms
- Citation analysis and verifiability in Wikipedia
- Impact of multimedia elements on knowledge understanding
Key Publications demonstrate expertise in algorithmic assessment of Wikipedia content, cross-modal embeddings for image recommendations, and citation usage analysis. Her work includes development of open datasets like Citation Detective and tools for structured task implementation.
Academic Leadership: Co-chair for the annual Wiki Workshop series at The Web Conference (2019-2021), and contributor to Wikimedia's research showcase events.
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