Doing thinking: revisiting computing with artistic research and technofeminism. - Loren Britton; Goda Klumbyte; Claude Draude (Digit. Creativity, 2019)

Lost in translation: an interactive workshop mapping interdisciplinary translations for epistemic justice. - Evelyn Wan; Aviva de Groot; Shazade Jameson; Mara Paun; Phillip Lücking; Goda Klumbyte; Danny Lämmerhirt (FAT*, 2020)

Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept. - Goda Klumbyte; Phillip Lücking; Claude Draude (NordiCHI, 2020)

Re-Imagining HCI: New Materialist Philosophy and Figurations as Tool for Design. - Goda Klumbyte; Claude Draude; Loren Britton (CoRR, 2020)

Situated algorithms: a sociotechnical systemic approach to bias. - Claude Draude; Goda Klumbyte; Phillip Lücking; Pat Treusch (Online Inf. Rev., 2020)

Critical Tools for Machine Learning: Situating, Figuring, Diffracting, Fabulating Machine Learning Systems Design. - Goda Klumbyte; Claude Draude; Alex S. Taylor (CHItaly, 2021)

Critical Tools for Machine Learning: Working with Intersectional Critical Concepts in Machine Learning Systems Design. - Goda Klumbyte; Claude Draude; Alex S. Taylor (FAccT, 2022)

Hybrid Spaces, Hybrid Methodologies: Finding Ways of Working with Social Sciences and Humanities in Human-Computer Interaction. - Claude Draude; Goda Klumbyte (HCI (1), 2022)

Towards Feminist Intersectional XAI: From Explainability to Response-Ability. - Goda Klumbyte; Hannah Piehl; Claude Draude (CoRR, 2023)

Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour. - Goda Klumbyte; Hannah Piehl; Claude Draude (CoRR, 2023)

Feminist epistemology for machine learning systems design. - Goda Klumbyte; Hannah Piehl; Claude Draude (CoRR, 2023)

Tangible LLMs: Tangible Sense-Making For Trustworthy Large Language Models. - Leonardo Angelini; Goda Klumbyte; Maxime Daniel; Nadine Couture; Elena Mugellini; Claude Draude (TEI, 2025)

Situated Bayes - Feminist and Pluriversal Perspectives on Bayesian Knowledge. - Juni Schindler; Goda Klumbyte; Matthew Fuller (CoRR, 2025)