  Academic Search is a timeless challenge that the field of Information
Retrieval has been dealing with for many years. Even today, the search for
academic material is a broad field of research that recently started working on
problems like the COVID-19 pandemic. However, test collections and specialized
data sets like CORD-19 only allow for system-oriented experiments, while the
evaluation of algorithms in real-world environments is only available to
researchers from industry. In LiLAS, we open up two academic search platforms
to allow participating research to evaluate their systems in a Docker-based
research environment. This overview paper describes the motivation,
infrastructure, and two systems LIVIVO and GESIS Search that are part of this
CLEF lab.
