Invasion biology – hypothesis network

An interactive visualisation tool, structuring scientific evidence in hierarchical networks.

Notes on Accessibility

Launch visualisation

Or watch the demo video

Our vision

Massive amounts of data and other information are in principle available to us almost anywhere and instantly, but most of them are in practice hidden and inaccessible: They are not turned into actual knowledge but represent what we call Knowledge in the Dark or short: Dark Knowledge (Jeschke et al. 2018). Untapping Dark Knowledge is a huge challenge.

Hi-Knowledge tackles this challenge. It is a novel online tool that structures information in a unique way, thus making it accessible to science and society. It will allow scientists to perform instantaneous synthetic analyses (meta-analyses sensu lato) tailored to their specific needs. Currently, meta-analyses and other syntheses of research data are either unavailable for a given topic or are outdated shortly after publication.

Hi-Knowledge is also for policy makers, managers, teachers and students, as it uniquely structures available scientific information in a readily accessible way. For instance, it will provide a continuously updated overview of scientific hypotheses and their degree of empirical support. Such knowledge is vital for science and society.

Cover of Invasion Biology – Hypotheses and Evidence

The initial phase of the project focuses on invasion hypotheses and accompanies the book Invasion Biology – Hypotheses and Evidence (Jeschke & Heger, eds, 2018; CABI, Wallingford, UK).

Launch visualisation

In the future, Hi-Knowledge will become the unique web portal described here – this is our vision, at least.

Demo Video


Financial support for this project has been received from the Deutsche Forschungsgemeinschaft (JE 288/9-1, JE 288/9-2). We also acknowledge financial support from the VolkswagenStiftung for a symposium on the topic titled “The hierarchy-of-hypotheses approach: Exploring its potential for structuring and analysing theory, research and evidence across disciplines” and held in 2017 in Hanover, Germany.

Freie Universität Berlin Deutsche Forschungsgemeinschaft Leibniz-Institute of Freshwater Ecology and Inland Fisheries