Open data, academia, and ethics: Join our upcoming webinar on
AI‑generated and synthetic data
Can we always trust the data we use in research? As artificial
intelligence increasingly generates data, texts, and even complete
datasets, this question is becoming more urgent. In academia, where
reliability and transparency are essential, the rise of AI‑generated
and synthetic data creates both new opportunities and complex ethical
challenges. To explore this topic, the data.europa academy
[https://data.europa.eu/en/academy] is hosting an upcoming webinar
focused on responsible data use in research. 

The webinar, titled ‘Open data, academia, and ethics: responsible
use of AI‑generated and synthetic data in research’, will take
place on Friday, 5 June 2026, from 10:00 to 11:00 CEST. This 60-minute
session is open to everyone and is particularly tailored to those
working in or with academia. It is the second episode of a three-part
series that examines how open data and emerging technologies influence
research practices, integrity, and public trust. 

This session will focus on the practical realities of using synthetic
and AI-generated data in research. Synthetic data refers to data that
is artificially generated to resemble real-world datasets, often used
when access to real data is limited due to privacy or availability.
The first speaker in this webinar is Thomas Lampert, Professor and
former Chair of Artificial Intelligence and Data Science at the
University of Strasbourg, who will introduce synthetic and
AI‑generated data from a technical and analytical perspective,
explaining how these forms of data are created and used in practice.
Using examples from medical imaging and remote sensing, he will
highlight both the opportunities and the challenges these technologies
present for research and decision‑making

After that, Ella Hafermalz, associate professor at KiN, will
examining how generative AI and synthetic data are reshaping research
processes and influencing trust in data-driven work. She will discuss
both the opportunities and the challenges, helping participants
understand how these data sources are applied in practice and what
this means for responsible research. 

If you are interested in how open data, AI, and research ethics
intersect, this session offers practical guidance and critical
perspectives to support responsible data use. Register now to secure
your place and explore how emerging technologies are shaping the
future of academic research.  

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Publication Date/Time
2026-05-27T08:00:00+00:00
Exploring how researchers can responsibly use emerging data sources in
an era of generative AI