Understanding the social world through digital data
The Lab develops interdisciplinary collaborations at the intersection between social science and data science to expand research capabilities and support the next generation of HDR students.
Our projects develop, critique, and experiment with algorithmic systems and the social, cultural, ethical, and political implications of their use. We employ a range of approaches for a critical understanding of big data and computation in their sociotechnical contexts, including digital rights, infrastructures, and communicative practices. Through our events, industry partnerships, and network of affiliates, we aim to build key research capabilities in this rapidly emerging field.
News
Workshop Highlight: Stochastic Block Modeling for Topic Modeling with Professor Eduardo Altmann
Last week, the Computational Social Science Lab hosted an enlightening workshop featuring Professor Eduardo Altmann on the application of Stochastic Block Modelling (SBM) for topic modelling.
Algorithms Lecture
Recently HDR student, Justin Miller gave a lecture to first year digital culture students on algorithms. The discussion centered on defining what an algorithm is and exploring its practical applications across various fields.
Workshop Highlight: Using Large Language Models for Text Clustering
Today, the Computational Social Science Lab hosted an engaging workshop led by PhD student Justin Miller, focusing on the application of Large Language Models (LLMs) for text clustering.
People
Find out more about the researchers who are part of the Computational Social Science Lab.
Research
Find out more about the projects run by the Computational Social Science Lab and our publications.
CSS Lab
“At the Lab, we acknowledge and critically investigate the assumptions, processes, and ecosystems which underpin the use of computational methods to produce knowledge about the social world.”
— Olga Boichak
