Social Computing Group

(Group picture, Dec. 2023)

Our research is motivated by understanding how digitalization affects individuals and society, and we strive to create safer and more transparent algorithmic systems. As technology is produced primarily to bring profit, there naturally occurs a conflict with societal values such as equality, safety, health. We publish in the CSS, alg fairness and HCI communities , addressing critical questions:

How do online platforms influence societal behavior? How can we uncover hidden biases in algorithmic decision-making systems? Can we design technologies that promote fairness and equity?

Our diverse backgrounds allow us to study issues from various perspectives and use a diverse range of quantitative and qualitative methods such as web scraping, simulations, experiments, surveys and algorithm auditing.