WARA Media and Language
WARA Media and Language brings researchers and industry partners together to develop and test AI for media and language. The arena supports collaboration through projects, events, shared resources, and the Media AI Hub.
Objective
WARA Media and Language advances AI for media and language by connecting academic research with industry needs. Through collaborative projects in Media AI, the arena helps partners explore new methods, share knowledge, and develop solutions that can benefit society.

Photo: Peter Karlsson, Svarteld form & foto
Research focus and the Media AI Hub
Research in WARA Media and Language focuses on the generation and analysis of media data and on understanding its societal impact. The main focus areas are graph-based models, multimodal foundation models, and interactive and creative AI. Many projects combine more than one of these areas.
WARA Media and Language has developed the Media AI Hub as a shared digital platform for arena activities. The hub can host models and datasets, support benchmarking, and provide other functions for projects, project courses, and new initiatives. It is available to the wider WASP community.
Video: Peter Karlsson, Svarteld form & foto
The WARA M&L community
WARA Media and Language supports an inclusive and collaborative community for industry representatives, researchers, and PhD students. The arena hosts activities throughout the year, including Community Days, research retreats, and a summer school for PhD students. The core team welcomes ideas for collaborations, project courses, and events from community members.
Collaboration opportunities
Organizations and individuals working with AI in media and language are welcome to connect with WARA Media and Language. Current partners include large companies such as Ericsson, EA Games, and Bonnier, as well as startups such as Parsd and AllEars.
Join the WARA Media and Language list serve to stay updated and learn about collaboration opportunities. You can also contact the core team to discuss projects, courses, events, or other ways to get involved. More information about the arena and current initiatives is available at waraml.org.
Video: Peter Karlsson, Svarteld form & foto
The Core Team
Johanna Björklund, Project Manager, Umeå University & Codemill AB
Sandor Albrecht, Co-project Manager, KAW
Anastasia Varava, Data Scientist and Research Lead, SEBx
Konrad Tollmar, Research Director, EA Games / Associate Professor, KTH Royal Institute of Technology
Gustav Eje Henter, Assistant Professor, KTH Royal Institute of Technology
Jonas Unger, Professor, Linköping University
Alexandra Kafka Larsson, CEO, Parsd
Xuan-Son (Sonny) Vu, CEO, DeepTensor AB / Asst. Professor, LTH Lund University of Technology
Åsa Burlin, Umeå University