Since 2020, our group has been a meeting point for researchers at different career stages and with various backgrounds who share a common interest in the applications of data and computational social science in three interconnected areas: data mining, econometric modelling, and machine learning and artificial intelligence.
Our mission is to foster collaboration and the exchange of ideas in computational social science to foster research and disseminate specific knowledge and techniques to wider audiences. Our commitment to open science leads us to promote transparency and open access to our data, results, and processes in order to generate effective solutions to current challenges and foster a positive impact on society.
Ranking
Flagship Project
This ranking of political science in Chile is one of our flagship projects. It presents a group of researchers at different stages of their careers ordered by H-index and uses the number of accumulated citations as a tie-breaker. It is based on Google Scholar and will soon be five years old with quarterly time series.
Blog
News and Columns
In the framework of the Digital Democracy Workshop 2024, held at the University of Zurich, two associate researchers from the Training Data Lab, Bastián González-Bustamante and Sebastián Rivera, presented a relevant study on digital incivility in political deliberation. In their paper entitled, “Toxicity and Digital Incivility during Political Deliberation: The Case of the Constitutional Convention in Chile”, these researchers explore the magnitude and determinants of non-civil comments directed towards politicians, focusing on the Chilean context.
Featured Publications
Scientific journal articles