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Research Integrity

Tilburg University is committed to protecting and guaranteeing research integrity.

Artificial Intelligence in Research

The rapid development of Artificial Intelligence (AI), especially since the launch of ChatGPT in 2022, presents both exciting opportunities and complex challenges for research and education. AI is reshaping how we understand and generate knowledge, though its full impact and operational implications for researchers are still unfolding. 

Tilburg University has established a dedicated project team (see Area 6 in the list of program areas) to explore the responsible integration of AI into academic work. As technology evolves, so do the guidelines and boundaries for its use. For researchers seeking guidance, the AI Guidelines for Researchers page offers practical resources, including a comprehensive guideline, real-world use cases, and a clear list of do’s and don’ts.

Web Scraping

Researchers often use personal data from online sources, such as social media posts, images, or other publicly available content. This can range from small-scale ethnographic studies to large-scale data research, with data collected manually or through automated web scraping.

However, legal and ethical considerations must be addressed before using such data. Key points include:

  • Check copyright, terms of use, or licensing of the source.
  • If personal data is involved, an ethical review application is required.
  • Ensure compliance with the GDPR.

For detailed guidance, refer to: Guidelines for using online (personal) data in research