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
Paper Accepted for ICA Conference
Dr. Olga Boichak, Kateryna Kasianenko, and Justin Miller have successfully had their submission accepted for the ICA 2024 conference.
Computational Social Science Lab end-of-year party
The Computational Social Science Lab joyously marked our final gathering of the year with an atmosphere filled with laughter and delicious food. As we commemorated our inaugural year, the air was not just celebratory but also charged with anticipation for the promising ventures that 2024 holds in store for us!
CSS Lab Student Justin Gives Lecture on Generative AI
Justin Miller, a PhD student from the Computational Social Science Lab, recently delivered his firstlecture on the topic of generative AI.
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
