Professor and Director, Center for Informatics Research in Science and Scholarship
PhD, Computer Science, University of Freiburg
ludaesch [at] illinois.edu
Office HoursBy appointment
Data and knowledge management, specifically the modeling, design, and optimization of scientific workflows, provenance, data integration, and knowledge representation; scientific workflow systems; data curation.
Other Professional AppointmentsFaculty Affiliate, Department of Computer Science
Faculty Affiliate, National Center for Supercomputing Applications
Bertram Ludäscher is a leading figure in data and knowledge management, focusing on the modeling, design, and optimization of scientific workflows, provenance, data integration, and knowledge representation. He is one of the founders of the open source Kepler scientific workflow system project and a co-lead of the DataONE Working Group on Provenance in Scientific Workflows. Ludäscher also develops workflow technology for quality control and data curation; e.g., of biodiversity data in natural history collections. He leads the NSF-funded Euler project, where he is developing logic-based methods for the alignment and merging of biological taxonomies.
In addition to his appointment as a professor at the iSchool, Ludäscher holds an appointment at the National Center for Supercomputing Applications (NCSA) and an affiliate appointment at the Department of Computer Science. Before coming to Illinois in Fall 2014, Ludäscher was a professor at the Department of Computer Science and the Genome Center at the University of California, Davis. He previously worked at the San Diego Supercomputer Center at UC San Diego where until 2004 he was an associate research scientist, leading the Knowledge-Based Information Systems Lab. He received his MS in computer science from the Technical University of Karlsruhe in 1992 and his PhD in computer science from the University of Freiburg in 1998.
TEACHING THIS SEMESTERTheory & Pract Data Cleaning (IS532AO)
Theory & Pract Data Cleaning (IS532A)
Data Observation Network for Earth (DataONE) is a collaborative, global project that is laying the groundwork for a new, innovative approach to conducting environmental science research. DataONE is a distributed framework and sustainable infrastructue poised to resolve many of the key challenges that hinder the realization of more global, open, and reproducible science, through four interrelated cyberinfrastructure (CI) activities:
Scholarly publications today are still mostly disconnected from the underlying data and code used to produce the published results and findings, despite an increasing recognition of the need to share all aspects of the research process. As data become more open and transportable, a second layer of research output has emerged, linking research publications to the associated data, possibly along with its provenance.
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