AI-Based Tools to Support the Research Process
Artificial Intelligence has become an essential ally for researchers, providing tools that can automate repetitive tasks, enhance data analysis, and improve the quality and efficiency of academic work. This module offers an overview of the most relevant AI-based tools currently available to support each stage of the research process — from data gathering and literature discovery to writing, automation, and validation.
The course takes a hands-on and exploratory approach, helping participants understand which tools best fit their workflow and research needs. We will discuss how to use AI responsibly and effectively, ensuring methodological rigor, transparency, and ethical use of generative technologies.
The course is taught by Tetiana Klymchuk:
Prerequisites & admissions
Registration from 1 March to 30 May. Admission by order of registration (40 places).
The course is aimed at academics, doctoral students or professionals who are interested in the use of statistical procedures for the modeling of structural equations for their research projects.