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.
|May 16, 2022||CITRIS: Causal Identifiability from Temporal Intervened Sequences was accepted at ICML 2022! The paper is co-authored by Sara and a team from around the UvA and Qualcomm.|
|May 11, 2022||Paul gave an invited talk at the 2022 VOGIN-IP-lezing on data reuse.|
|May 9, 2022||We are happy to be participating at ICDE’22. Paul is giving a keynote at the Databases and ML workshop. Also at the workshop is a paper on GitSchemas led by Till Döhmen and co-authored with Madelon and Sebastian. Sebastian is also on a panel for the PhD Symposium.|
|Apr 30, 2022||New paper out in ACM Transactions on Software Engineering and Methdology on the Knowledge Graph development process. Co-authored by Paul.|
|Apr 20, 2022||New special issue out of the IEEE Data Engineeering Bulletin on GDPR-Compliant Data Systems edited by Sebastian.|
|Apr 14, 2022||We are hiring! A PhD position in Causality-Inspired ML/RL. Applications due June 15.|