Computer Science for Biodiversity


Workshop at INFORMATIK2021 (

Preserving biodiversity is a necessary prerequisite for achieving (almost) all of the seventeen goals for sustainable development defined by the United Nations. A better understanding of biodiversity, in turn, is a prerequisite for its preservation. Computer science can make essential contributions to this improved understanding. The workshop CS4Biodiversity would like to show such contributions and stimulate computer science research for the conservation of biodiversity from automatic data acquisition to modern methods for data analysis and visualization to the improvement of the research data infrastructure (especially in the context of efforts to establish a national research data infrastructure).

Exemplary subject areas are:

  • Support for the recording of biodiversity (e.g. sensor networks, automatic evaluation of Cameratraps, eDNA)
  • Biodiversity data management (e.g. efficient data collection and data management including ontology management, data integration, knowledge graphs, time series, semantic web and Wikidata, automatic annotation of data, citizen science, processing and documentation of data for long-term archiving)
  • Analysis of biodiversity data (e.g. deep learning, app development for diagnostics and identification, visualization, workflow systems)
  • Simulations for biodiversity research (e.g. modeling software, reproducibility of simulations, provenance)
  • Support for the software-based digital long-term archiving of biodiversity data (e.g. software for the digital long-term archiving of biodiversity data, automated and standardized interfaces, AI-supported formation of format groups in the context of preservation, partially automated formation of significant properties, restoration or safeguarding of the interpretability of information stored in legacy data formats, tools for transformation between community metadata schemas and standards)

The workshop will combine invited talks, research talks and a Software Marketplace with demos. 

Call for Papers and Demos

We invite the submission of short and full papers and of proposals for demos at the Software Marketplace related to the topics above or other topics in the area of Computer Science for Biodiversity.
Full papers must not exceed 18 pages and short papers must not exceed 6 pages. Both full and short papers need to be formatted according to the LNI formatting guidelines and submitted to Easychair:

Software descriptions can be submitted either as papers (to be included in the proceedings) or as abstracts (to be published in the program leaflet, only). 

Submissions are welcome  in English or German.

All submissions will be reviewed by members of the program committee. Submissions may be directly accepted, asked for a revision (resulting in another round of reviews), or rejected. 

Important Dates

17.05.2021 Paper Submission Deadline

09.06.2021 Notification 

18.06.2021 Deadline for Revisions

25.06.2021 Notification for Revisions

30.06.2021 Submission deadline for camera ready papers  GI-Edition: Lecture Notes in Informatics (LNI)

01.07.2021 Submission of Abstracts for the Software Marketplace

15.07.2021 Notification for submissions to the Marketplace

22.07.2021 Submission deadline for camera ready abstracts 

xx.09.2021 Workshop


to be announced


Program Committee:

Sven Bingert, GWDG

Jan Bumberger, UFZ

Peter Grobe, ZFMK Bonn

Naouel Karam, Fraunhofer FOKUS

Jens Kattge, Max Planck Institute for Biogeochemistry

Michael Kirstein, GDA Bayern

Friederike Klan, DLR Institut für Datenwissenschaften

Ivo Kostadinov, GFBio e.V. 

Patrik Mäder, TU Ilmenau

Volker Mosbrugger, Senckenberg Gesellschaft für Naturforschung

Thomas Nauss, Universität Marburg

Jörg Overmann, Leibniz-Institut DSMZ

Henrique Pereira, German Center for Integrative Biodiversity Research iDiV

Uwe Scholz, IPK

Maha Shadaydeh, Friedrich-Schiller-Universität Jena

Philipp Wieder, GWDG


Anton Güntsch, BGBM and FU Berlin

Birgitta König-Ries, Friedrich-Schiller-Universität Jena

Markus Schmalzl, GDA Bayern

Bernhard Seeger, Universität Marburg

Dagmar Triebel, Staatliche Naturwissenschaftliche Sammlungen Bayerns SNSB