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.
|Feb 23, 2021||Sebastian together with Barrie Kersbergen have had their paper about learnings from a real world recommender system at one of Europe’s largest e-commerce platforms accepted at ICDE 2021.|
|Feb 22, 2021||Sebastian, Stefan together with Shubha Guha and Julia Stoyanovich (NYU) have a demo of mlinspect accepted at SIGMOD 2021. Congrats!|
|Feb 18, 2021||Daniel gave a talk at the Lunch at ICAI: Discovery & Perception meetup on his recent work on inductive entity representations.|
|Feb 3, 2021||Sebastian has two papers at EDBT 2021 on data quality validation for dynamic data and tools to study the impact of data errors on machine learning.|
|Feb 1, 2021||We’re pleased to welcome Stefan Grafberger to the lab as a new PhD student. He’ll be working on data mangement for ML in the context of ICAI AI for Retail (AIR) Lab.|
|Jan 28, 2021||Come work with us! We have an opening for a PhD student in causality-inspried machine learning. Closing date April 15.|