Project resources

Machine-learning-assisted automation of evidence synthesis is crucial to deal with large volumes of literature. We are working on methods to safely utilise AI in synthesis.

We developed an internal platform to annotate texts and reduce annotation effort through prioritised screening with early stopping.

Stopping criteria offer a reliable way to decide when to stop machine-learning-assisted prioritised screening for a systematic map, review, or for document review in e-discovery.

We have conducted several public perception studies around carbon dioxide removal and climate change using Twitter and Reddit data.

Interactive data portal for sharing large-scale living evidence syntheses.