The INtelligent Data Engineering Lab is part of the Informatics Institute of the University of Amsterdam. It investigates intelligent systems that support people in their work with data and information from diverse sources. This includes addressing problems related to the preparation, management, integration and reuse of data.
We perform both applied and fundamental research informed by empirical insights into data science practice. Recent topics of interest include: data management for machine learning, causality-inspired machine learning, data search, data provenance, information integration, automated knowledge base / knowledge graph construction, and data semantics.
The lab is led by Paul Groth.
|Jul 27, 2022||We are hiring. A PhD position in Combining Language Models & Knowledge Graphs. Due date Aug 19.|
|Jul 17, 2022||We’re pleased to welcome Dr. Viktoriya Degeler to the group as an assistant professor.|
|Jul 13, 2022||Paul gave a talk at Sigma Computing Data Curation and Debugging for Data Centric AI.|
|Jul 7, 2022||The IvI has a nice article on Sebastian’s work on responsible data management.|
|Jul 6, 2022||We are happy to be co-organizing two workshops at Neurips 2022. Madelon is co-organizing the table Representation workshop and Sara the workshop on causality and dynamic systems.|
|Jul 3, 2022||Paul was a tutorial speaker at the 2022 International Semantic Web Summer School.|
|Jun 22, 2022||Sara spoke about Causality-inspired ML at the ICAI Mercury Machine Learning Lab Webinar|
|Jun 12, 2022||We are at SIGMOD 2022 this week. Stefan is giving a talk at the DEEM workshop on what-if analysis for ML pipelines. Sebastian has a paper in the main research track with Barrie Kersbergen and Olivier Sprangers from AIR Lab: Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale.|