In an era where data science and computing shape not only technology but also culture, memory, and knowledge itself, it is urgent to expand the scope of technical expertise to include critical, humanistic inquiry.

This tutorial, invites data and computer scientists to step beyond conventional technical challenges and engage with questions of epistemic justice. How is knowledge constructed, excluded, or erased? Who is represented—and who is not—in our datasets, algorithms, and digital infrastructures?

Participants will apply tools like NLP, graph analytics, and embeddings to culturally complex datasets—such as Wikipedia entries and literary corpora from Latin America and Eastern Europe. Through hands-on exercises, they will explore how data science, and particularly graph analytics can be used to surface epistemic violence, recognize marginalized contributions to knowledge, and support decolonial approaches to information systems.