Modelling Knowledge

To enable rich and interconnected data collection, we integratively modelled research and knowledge transfer activities.

IKON Ontology

Qualitative Insights

To provide an actionable technological solution, we conducted qualitative studies to understand the specific contextual requirements.

Research Publications

Interpretable by Design

To foster reflective exploration by non-technical stakeholders, we synthesized our qualitative insights into our design approach.

Visualization System


The Natural History Museum in Berlin (Museum für Naturkunde - Leibniz Institute for Evolution and Biodiversity Science) is among the top 10 world-wide and the largest of its kind in Germany. The museum is home to over 30 Mio. collection objects, more than 250 researchers and more than 400 research assistants as well as PhD students, from disciplines such as biology, paleontology, mineralogy and information science. Behind the publicly accessible spaces, these researchers work on manyfold projects in a multidisciplinary research setting. To bolster the Natural History Museum's efforts at ensuring knowledge transfer throughout its organisation and into the public sphere, the HCC collaborated with the museum in this BMBF-funded project to unveil the currently tacit knowledge, competencies, methods and research project information to the employees of the museum. A formal ontology was developed to support this endeavor. We provide the researchers at museum with (1) an ontology for documenting and linking knowledge transfer activities, (2) insights about potentials for knowledge transfer powered by machine learning and (3) interactive visualisations of these networked sources of knowledge. Focussing on the seamless integration of these provisions, the HCC set up an actionable and holistic system that visualises research project data and their potential for knowledge transfer in research museums like the Natural History Museum.


Project Lead
Prof. Dr. Claudia Müller-Birn

Jesse Josua Benjamin
Dr.-Ing. Christoph Kinkeldey
Jonas Oppenländer

Student Assistants
Simon Buchholz
Lilli Joppien
Nicolo Knapp
Jonas Kopka
Tim Korjakow
Aaron Winter


IKON Visualization Software

IKON Ontology


C. Kinkeldey, T. Korjakow and J. J. Benjamin, "Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization", EuroVis Workshop on Trustworthy Visualization (TrustVis), Porto, Portugal. June 3, 2019.

J. J. Benjamin, C. Müller-Birn and C. Kinkeldey, "Understanding Knowledge Transfer Activities at a Research Institution through Semi-Structured Interviews", Freie Universität Berlin: Berlin, Technical Report TR-B-19-02, 2019.

J. J. Benjamin, "One and the Same: Ethical Attribution and Distributed Reasoning in ML-driven Systems", in ACM DIS 2019 CoDesigning AI Futures Workshop, New York, NY: ACM.

J. J. Benjamin, C. Müller-Birn, "Materializing Interpretability: Probing Meaning in Algorithmic Systems", in Companion Publication of the 2019 ACM Conference on Designing Interactive Systems Conference, San Diego, CA, USA.

J. Oppenländer, J. J. Benjamin and C. Müller-Birn, "Towards Sociotechnical Management of Intra-Organisational Knowledge Transfer", in Multikonferenz Wirtschaftsinformatik 2018: Data driven X – Turning Data into Value, P. Drews et al., Eds., Lüneburg: Leuphana Universität, pp. 307–313.

M. Hong, J. J. Benjamin and C. Müller-Birn, "Coordinating Agents: Promoting Shared Situational Awareness in Collaborative Sensemaking", in Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2018, Jersey City, NJ, USA, pp. 217–220.

J. J.  Benjamin, C. Müller-Birn and R. Ginosar, "Transparency and the Mediation of Meaning in Algorithmic Systems", in Workshop 'Participation + Algorithms', 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2018.

J. J. Benjamin, "Complex Intentions: A Methodology for Contemporary Design Practice", in DIS '18 Companion: Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems, Hong Kong, China, pp. 347–350.

J. J. Benjamin, "Intentional Collapse: Human Relations to Intelligent Artifacts & Environments", 2018 ACM Conference on Designing Interactive Systems (DIS) Workshop 'From Artifacts to Architecture', Hong Kong, China.

J. Oppenländer, J. J. Benjamin and C. Müller-Birn, "Socio-technical Revelation of Knowledge Transfer Potential", Poster presentations at the 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Qu&‌eacute;bec City, Canada.


This work is supported by the German Federal Ministry of Education and Research, grant 03IO1633.