For the first time, a platform will be created where information professionals, sociologists, physicists, digital humanities scholars and computer scientists collaborate on problems of data mining and data curation in collections. The main objective is advancing the analysis of large knowledge spaces and systems that organize and order them. The combination of insights from complexity theory and knowledge organization will improve our understanding of the collective, self-organized nature of human knowledge production and will support the development of new principles and methods of data representation, processing, and archiving. KNOWeSCAPE aims at creating interactive knowledge maps. Their end users could be scientists working between disciplines and seeking mutual understanding; science policy makers designing funding frameworks; cultural heritage institutions aiming at better access to their collections; and students seeking a first orientation in academia.


Medical University Wien

Vienna, Austria

Imperial College London Institute for Mathematical Sciences

London, United Kingdom

Institute of Mechanics - Bulgarian Academy of Sciences

Sofia, Bulgaria

Leibniz Institute for the Social Sciences

Cologne, Germany

Faculty of Humanities & Social Sciences

Zagreb, Croatia

Aarhus University

Arhus, Denmark

Aalto University

Helsinki, Finland

Ecole Polytechnique

Paris, France


Paris, France

Gephi Consortium

Paris, France

Europaeische Akademie zur Erforschung von Folgen wissenschaftlich-technischer Entwicklungen

Bad Neuenahr-Ahrweiler, Germany

Otto-Suhr-Institute of Political Science

Berlin, Germany

Paderborn University

Paderborn, Germany

ATEI of Thessaloniki

Thessaloniki, Greece

University College Dublin

Dublin, Ireland


Liege, Belgium