Quantitative Human Sciences Working Group

Computational human sciences is an interdisciplinary discipline that aims to ask new research questions in all sub-disciplines of the human sciences through technology, and to generate, analyze and present knowledge with new methods from digital data that form different layers. This discipline contributes to the human sciences by processing large volumes and a wide variety of data using data science methods such as machine learning. In addition, it presents the amount of data that may be very difficult to process manually with the tools of technology in an easily perceivable way with visuals under the desired patterns; it reveals relationships that cannot be seen with the naked eye and generates new questions from them. As a result of the developing digital technology, it also offers tools for processing interactive data, which was not common in the pre-computer and pre-internet era.

CI research aims to generate new knowledge, new perspectives, and new narratives that will unravel the diachronic, synchronic, and spatial changes and transformations of people, societies, cities, countries, politics, cultures, and any network of relations made possible by interpersonal interaction, while revealing interactions that are not easily visible through the processing of data of great complexity.

Our Working Group was established with the aim of obtaining and reporting meaningful information from masses of data in various fields using software and hardware equipped with artificial intelligence systems, contributing to the studies to be carried out on these issues and disseminating the subject to a wide audience through events.