In FONDA, 19 PIs from 9 institutions collaboratively work in 12 subprojects spanning three interconnected core areas of activities, all addressing fundamental research in the domain of Data Analysis Workflows (DAW).
FONDA’s Research Areas
- Research Area A: Abstractions for DAW Specification Languages comprises six subprojects that research novel abstractions for DAW specification languages and how they are turned into logical and physical plans by a DAW engine.
- Research Area B: Abstractions for DAW Execution Infrastructures comprises six subprojects that research novel abstractions for the computational infrastructures underlying a DAW engine, which encompasses DAW execution engines, schedulers, resource managers, and configuration of the underlying network.
- Area S: Central Service and Administration Projects comprises service projects and an administrative project.
Partners in FONDA
Across these research areas, our PIs assemble various different perspectives onto data analysis workflows and their application in the life sciences. In each subproject, interdisciplinary teams investigate particular aspects of the subproject’s respective research area. Our 19 PIs come from 9 institutions:
- Humboldt-Universität zu Berlin (coordinating university)
- Prof. Claudia Draxl, Solid-state Theory
- Prof. Peter Eisert, Visual Computing (also Heinrich-Hertz-Institut Berlin)
- Prof. Lars Grunske, Software Engineering
- Prof. Patrick Hostert, Remote Sensing
- Prof. Timo Kehrer, Model-driven Software Development
- Prof. Christoph T. Koch, Structure Research and Electron Microscopy
- Prof. Ulf Leser, Knowledge Management in Bioinformatics (Coordinator)
- Prof. Henning Meyerhenke, Modeling and Analysis of Complex Systems
- Prof. Alexander Reinefeld, Parallel and Distributed Computing (also Zuse Institut Berlin)
- Prof. Björn Scheuermann, Computer Engineering
- Prof. Nicole Schweikardt, Logic in Computer Science
- Prof. Matthias Weidlich, Databases and Information Systems
- Charité – Universitätsmedizin Berlin
- Freie Universität Berlin
- Prof. Knut Reinert, Algorithmic Bioinformatics
- Heinrich-Hertz-Institut Berlin
- Prof. Peter Eisert, Vision & Imaging Technologies
- Max Delbrück Center for Molecular Medicine
- Prof. Dagmar Kainmüller, Biomedical Image Analysis
- Technische Universität Berlin
- Universität Potsdam
- Prof. Tilmann Rabl, Data Engineering Systems
- Zuse-Institut Berlin
- Prof. Alexander Reinefeld, Parallel and Distributed Computing