Navigating Information Overload in Research: Credibility, AI, and Open Access

Erasmus+ Project: CAELUM – Open Science Supporting Vulnerable Communities: Empowering University Libraries in Crisis Response
Project No. 2024-1-EE01-KA220-HED-000243324

Navigating Information Overload in Research: Credibility, AI, and Open Access is a free self-learning course developed as part of the CAELUM project. It helps learners recognise and manage information overload in contemporary research environments.

The course is based on a participatory case study approach in which research-facing stakeholders and wider users of openly available scientific literature helped identify key challenges related to filtering and prioritisation, credibility assessment, verification, AI-supported information use, and open access publication decision overload.

Learners will use practical strategies, checklists, worksheets, and a decision tracker to apply these insights in their own work, study, teaching, research-support, or publication contexts.
"This course is highly relevant to our university. Thank you for making this learning opportunity available."
Director Of Innovation Management and Tech Transfer
Universidad Autónoma de Occidente - Cali