Lucy Havens is a data-driven designer and researcher who blends data analytics, user-centered design, and machine learning to make cultural heritage collections more discoverable and equitable. With eight years of experience across academia, libraries, and industry, she researches and builds methods to identify and classify bias in descriptive metadata, applying those methods in a doctoral thesis and IASH-affiliated research at the University of Edinburgh. Her background spans hands-on toolbuilding—Python notebooks, D3 visualizations, and interactive dashboards—to teaching digital humanities programming and consulting on data science projects. She has translated research into accessible outputs, from award-shortlisted Jupyter Notebooks to infographics that trace cataloguing practices, revealing not only technical patterns but the human decisions behind metadata. Based in Seattle, she combines rigorous technical practice with a knack for translating complex bias analyses into pedagogical materials for non-technical audiences.
8 years of coding experience
3 years of employment as a software developer
Advanced MSc in Design Informatics, Design Informatics, Advanced MSc in Design Informatics, Design Informatics at The University of Edinburgh
Bachelor's Degree, Information Systems, Bachelor's Degree, Information Systems at Carnegie Mellon University
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