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.
Paper Accepted for ICA Conference
Dr. Olga Boichak, Kateryna Kasianenko, and Justin Miller have successfully had their submission accepted for the ICA 2024 conference.
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.
Congratulations Dr. Olga Boichak!
The CSS would like to extend our congratulations to Dr. Olga Boichak for being awarded a DECRA fellowship. Her research will investigate how weaponisation of information and communication technologies affects territorial integrity of sovereign democratic states.
The inaugural 2023 cohort
The Computational Social Science Lab is excited to welcome its inaugural cohort of Ph.D. students: Justin Miller, Thanh Lan Ha, Claudia Castro, Melissa Kemble, Itsakul Unahakate, Putri Limilia, and Alicia Wang. These talented individuals come with diverse expertise spanning data science, linguistics, digital communications, and politics.
Jennifer Stromer-Galley
The Computational Social Science Lab will host an event with Professor Jennifer Stromer-Galley (Syracuse University). Details coming soon!
Eurovision Hackathon
The Eurovision Hackathon was a one-day research event organised by the Sydney Social Sciences and Humanities Advanced Research Centre (SSSHARC) and the Computational Social Science Lab. It brought together Eurovision experts and early career scholars from 5 Australian universities to investigate the social, cultural, and political aspects of the Eurovision Song Contest. Using digital trace …