Intersectionality and reflexivity - decolonizing methodologies for the data science process. - Alicia E. Boyd (Patterns, 2021)

An Exploration of Intersectionality in Software Development and Use. - Hana Winchester; Alicia E. Boyd; Brittany Johnson (GE@ICSE, 2022)

Quintessence: An Intersectional Reflexivity Tool for Data-Centric Research & Development. - Alicia E. Boyd; Jibiana Jakpor; Brittany Johnson (VL/HCC, 2022)

Reflexive Practices in Software Engineering. - Alicia E. Boyd (FairWare, 2023)

Harmful Terms in Computing: Towards Widespread Detection and Correction. - Hana Winchester; Alicia E. Boyd; Brittany Johnson (ICSE (SEIS), 2023)

HaTe Detector: A Tool for Detecting and Correcting Harmful Terminology in Computing Artifacts. - Hana Winchester; Ebtesam Al Haque; Alicia E. Boyd; Brittany Johnson (VL/HCC, 2023)

Exploring Culturally Informed AI Assistants: A Comparative Study of ChatBlackGPT and ChatGPT. - Lisa Egede; Ebtesam Al Haque; Gabriella Thompson; Alicia E. Boyd; Angela D. R. Smith; Brittany Johnson (CHI Extended Abstracts, 2025)

A Preliminary Framework for Intersectionality in ML Pipelines. - Michelle Nashla Turcios; Alicia E. Boyd; Angela D. R. Smith; Brittany Johnson (SIGSOFT FSE Companion, 2025)

An Evaluation of LLMs for Detecting Harmful Computing Terms. - Joshua Jacas; Hana Winchester; Alicia E. Boyd; Brittany Johnson (CoRR, 2025)