ESSIR

The ESSIR initiative is a self-organized body, whose main mission is to promote research, innovation, and development of information access systems by educating junior and senior researchers, students, professionals, developers, and practitioners on the latest developments in the field, both methodological and technological.

By targeting information access at large, ESSIR places itself at the crossroad of several neighbors disciplines, namely

• Information Retrieval (IR)
• Recommender Systems (RecSys)
• Natural Language Processing (NLP)
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Data Science (DS)

The ESSIR event is a week-long event, organized over the summer, where renowned lecturers and students interact together in a number of ways, e.g. lectures, hands-on sessions, flipped classrooms, aimed at the most effective teaching and learning of both basic and advanced topics on information access at large.

ESSIR also aims at nurturing discussion on new approaches for teaching and learning information access, at fostering the development of modern curricula, at all levels, on these subjects, and at stimulating the adoption of the most up-to-date resources (software, datasets, and more).