M.A. Goda Klumbyte

• Algorithm systems design and machine learning systems engineering
• Critical algorithm studies
• Feminist new materialism and feminist theory
• Critical continental philosophy and critical posthumanism
• Participatory and co-creation design methodologies
• Fairness, accountability, transparency, and ethics of machine learning
• Human-computer interaction, particularly human-algorithm interaction and human-centred explainable AI
• Experimental interdisciplinary design methods

In her doctoral research conducted at the University of Kassel Goda investigates epistemic premises of machine learning as a knowledge production tool and proposes innovative ways to work with intersectional feminist and new materialist epistemologies towards more contextualized and accountable machine learning systems design. For one of the projects within her doctoral research, see "Critical Tools for Machine Learning" at critml.org.

Goda co-edited More Posthuman Glossary with R. Braidotti and E. Jones (Bloomsbury, 2022), and published work in Posthuman Glossary (Braidotti & Hlavajova, 2018), Everyday Feminist Research Praxis (Leurs & Olivieri, 2015), journals Online Information Review, Digital Creativity and ASAP,  as well as presented at informatics conferences such as ACM’s CHI, nordiCHI and FAccT. At the University of Kassel and elsewhere she has taught introductory courses on social aspects of informatics, critical posthumanism and feminist new materialism, as well as critical algorithm studies and methods. Read more about Goda on academia.edu