About Erasmus Staff Training Week
The Erasmus+ Staff Training Week is a program that supports professional development for university staff across Europe. Read more on the IMOTION platform.
International Staff Training Week 2025, May 12-16
Discover the Technology Leap, the University Library of the Future, and Outreach during this inspiring week, arranged by University Alliance Stockholm Trio.
About Erasmus Staff Training Week
About Erasmus Staff Training Week
Application Closed
Application Closed
The registration deadline has passed. Any questions will be answered via email: erasmus-kib@ki.se
KI University Library
KI University Library
KI University Library
Discover insights on AI in Library Services, exploring topics such as source criticism and automatic indexing.
KTH Library
KTH Library
KTH Library
Explore how AI is reshaping library services, from information retrieval to academic literacy.
Stockholm University Library
Stockholm University Library
Stockholm University Library
Accommodation, Transportation, and Highlights in Stockholm
Accomodation information & tips
Accomodation information & tips
Accomodation information & tips
Participants are responsible for booking and covering the cost of their own accommodation. Vasastan or Östermalm are not too far from the universities.
Public transportation in Stockholm
Public transportation in Stockholm
Public transportation in Stockholm
Navigate the city with using buses, underground trains, commuter trains, trams, and ferries.
Discover Stockholm
Discover Stockholm
Discover Stockholm
Explore Stockholm’s top spots: Gamla Stan’s medieval streets, Skansen’s historic houses, Djurgården’s museums, Fotografiska's photography, the Royal Palace, Moderna Museet's art and the Stockholm Archipelago.
In the meantime – listen to a podcast!
KIB podcast: Your questions – our answers. Library people talk about AI
KIB podcast: Your questions – our answers. Library people talk about AI
In this episode of the KIB podcast Alvin, bibliometric analyst, Lovisa, librarian, and Anna, writing instructor, discuss questions from colleagues and students at KI on LLMs (large language models).