AI Models, Computational Methods, and Workflows for CSSH

We focus on developing and validating pioneering AI models, statistical techniques, and computational methods to analyze complex datasets. New computational methodology aims to enhance the ability to extract meaningful insights from large-scale data, for understanding the past and improving decision-making and predictive capabilities in the social sciences and humanities. In addition to these analytical techniques, this research also involves designing and creating efficient workflows and tools to automate and streamline these processes.

The outputs (tools, models, methodology and workflows) of this research line provide direct support to the research conducted by the Computational Social Science and the Computational Humanities teams, but ultimately, we aim to share them with the entire research community following Open Science values and FAIR principles.