Publications
Data Bias and the Natural Language Processing of Metadata
Author: Lucy Havens
In: Library Catalogues as Data: Research, Practice, and Usage (forthcoming 2024)
Author: Lucy Havens, Beatrice Alex, Melissa Terras
In: The Routledge Handbook on Heritage and Gender (forthcoming 2024)
Recalibrating Machine Learning for Social Biases: Demonstrating a New Methodology through a Case Study Classifying Gender Biases in Archival DocumentationAuthor: Lucy Havens
Ph.D. thesis, School of Informatics, University of Edinburgh
Author: Lucy Havens
In: SAGE Research Methods Datasets: Decolonising and Diversifying Datasets (March 2024)
Collaboration Across the Archival and Computational Sciences to Address Legacies of Gender Bias in Descriptive Metadata (view slides)
Author: Lucy Havens, Rachel Hosker, Melissa Terras, Benjamin Bach, Beatrice Alex
Digital Humanities 2023: Book of Abstracts (pp. 267-270)
Presented at the 2023 Digital Humanities Conference
Author: Lucy Havens, Melissa Terras, Benjamin Bach, Beatrice Alex
Publication in the Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing, co-hosted with the 2022 North American Chapter of the Association for Computational Linguistics (NAACL) Conference
Author: Lucy Havens
Student Research Workshop at the 2022 North American Chapter of the Association for Computational Linguistics (NAACL) Conference
Beyond Explanation: A Case for Exploratory Text Visualizations of Non-Aggregated, Annotated Datasets
Authors: Lucy Havens, Benjamin Bach, Melissa Terras, and Beatrice Alex
Publication in the Proceedings of the 1st Workshop on Perspectivist Approaches to NLP, co-hosted at the 2022 Language Resources and Evaluation Conference (LREC) 2022
Authors: Sarah Ames, Lucy Havens
IFLA Journal 2022
Authors: Lucy Havens, Melissa Terras, Beatrice Alex
Presentation at The Association for Computers and the Humanities 2021 Conference
Authors: Lucy Havens, Melissa Terras, Benjamin Bach, and Beatrice Alex
Publication in the Proceedings of the Second Workshop on Gender Bias in Natural Language Processing, co-hosted with the 28th International Conference on Computational Linguistics (COLING) 2020
Authors: Lucy Havens, Paul Gooding, Kirsty Lingstadt, Alex Forrest, Alasdair MacDonald, Melissa Terras
Digital Humanities Congress 2020 (postponed to 2022)
Authors: Lucy Havens, Mengting Bao, Larissa Pschetz, Benjamin Bach, Christine Bell
Publication in CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Browser Tab Usage in Information Foraging and Sensemaking
Author: Lucy Havens
Senior Honors Thesis published and presented in the 2015 Carnegie Mellon University Undergraduate Research Symposium
Exhibits
Virtual Installation at The Association for Computers and the Humanities 2021 Conference
Edinburgh College of Art Degree Show, 2019
Winner of the Edinburgh College of Art Purchase Prize Award
Invited Talks
Panel on Gender Bias in Data and Technology
Discussed gender biases in cultural heritage documentation and machine learning systems
Scotsman Data Conference: Data for Diversity - September 29, 2022
Talk about my career path doing computational work in the humanities
The Alan Turing Institute's DH-RSE Summer School - July 28, 2021
Introduction to Text Mining in the Digital Humanities
Provided a theoretical introduction to text mining and an overview of practical approaches to text mining for humanities students interested in digital methods
Guest Lecture at the University of Buckingham - February 26, 2021
Designing for Data Exploration
Described three keys to designing platforms that allow people to explore data, drawing on the PaxVis project as an illustrative case study
Design Informatics Research Talk - January 24, 2019
Data Stories presentation - July 9, 2019
User-Centered Research and Design in Practice
Applying user-centered research and design methods in business and technology consulting
Guest lecture at New York University - 2016
Teaching
Wrote a teaching guide and student guide, with accompanying code and data files, for creating a document classification model from archival documentation that has been annotated for gender bias in the form of omissions and stereotypes
SAGE Research Methods, Decolonizing and Diversifying Research: Datasets
Designed curriculum for and taught a two-week course on how to program in Python for Digital Humanities researchers without previous programming experience
Centre for Data, Culture & Society, University of Edinburgh, February 2022
Designed curriculum (available on GitHub) for and taught three, two-week, virtual courses on select Python libraries relevant to Digital Humanities researchers
- Course 1: how to analyze structured data with Pandas and ElementTree
- Course 2: how to analyze unstructured data (text) with NLTK
Centre for Data, Culture & Society, University of Edinburgh, October-December 2020 and March-April 2022
Designed curriculum and taught a one-day workshop introducing data visualization with D3.js
University of Edinburgh, March 16, 2018
Visual Communication Design
Developed and taught curriculum for corporate training in visual communication design for project proposals and reports, in collaboration with coworkers at West Monroe Partners
Presented to West Monroe Partners employees in New York City, NY and Chicago, IL in 2016 and 2017
Blogging
Documenting reflections on my research and studies, and my travels through Europe
Introduction to my area of work on the Living with Machines project
Explains the process of analyzing text from a digitized collection at the National Library of Scotland, one of five collections analyzed during an internship at the Library
Documents concept sketches and project progress for the PaxVis platform
Exquisite Design Blog Series
Complements corporate training in visual communication design for project proposals and reports at West Monroe Partners
Credit Card Marketing Blog Series
Explains the potential of Marketing Technology for business operations and customer experience to West Monroe Partners' clients
