| Event date | 29.01.2026 r. |
| Form of training, place | online, platform MS TEAMS |
| Duration of the event | 9:00 a.m. – 11:30 a.m. CET |
| Participants | university staff, academic staff, non-academic staff |
| Thematic category | training |
Academic and non-academic staff, as well as scientists, researchers, and doctoral students are invited to participate in the LETSGROW cross-sectoral training taking place this January and February. The training session “Ethics and Research Data Use” will be held online on January 29. The training session “Unlocking AI – Introduction to Large Language Models and Personal Knowledge Assistants” will be held in a hybrid format on February 5–6. All training sessions will be conducted in English. Participants will receive certificates. The program times are provided in Central European Time (CET). You can convert the times for your location here.
Take advantage of this opportunity to further develop your competencies by registering for the training. An invitation will be sent to all registered participants 3–5 days before the event, including the MS Teams link or room details. The programs of the training courses and the registration links can be found below.
Training Programme:
Online training “Ethics and research data use”.
Date: January 29, 9:00–11:30 CET, online, MS TEAMS. Registration
Lecturer: Associate Professor Saulė Milčiuvienė (Vytautas Magnus University, VMU).
Training content: High-quality, well-governed research data is essential for modern scientific work because it ensures reliability, enables collaboration, and accelerates innovation, and this training will guide participants through the key principles needed to achieve that standard. The session will examine the main elements of EU legal regulation on research data, highlighting both the responsibilities and opportunities it creates for researchers. It will also explore legal interoperability – including data licensing models that support responsible sharing and reuse of data – as well as data protection and research ethics.
Finally, the training will look ahead to future regulatory perspectives, including the European Strategy for Artificial Intelligence in Science, the Data Union Strategy for unlocking data for AI, and the Digital Omnibus Regulation proposal, helping participants understand how these developments will shape the research landscape.
