Artificial intelligence for smart programmes

Less manual work. More quality.

Scientific conferences thrive on a large number of peer-reviewed contributions, which are often scheduled to run concurrently in the conference programme. The quality of a conference programme is reflected not only in the efficient use of time and space, but above all in how well the professional interests of the participants and their personal conference schedules, which may overlap, are taken into account.

Current conference management systems provide only limited support for programme planning and continue to rely heavily on manual processes. Converia GmbH therefore aims to research automated programme planning for scientific conferences that combines organisational framework conditions with content analysis of abstracts. By taking into account predicted participant preferences, the aim is to create higher-quality, participant-oriented conference programmes.