Announcing the upcoming DSDSD on the 14th of April starting at 15:30 CET, 10:30 EDT, 07:30 PDT! The speakers will be Till Döhmen from Intelligent Data Engineering Lab & Psallidas Fotis from Microsoft Gray Systems Lab. More details on the mailing lists and website. Hope to see you there!

We're happy to be at the #knowledgeprompting hackathon this week hosted by KCL Informatics . With Fina Polat Effy X. Li Paul Groth

That is a wrap! Thank you for everyone who attended and made this event possible! 🥳 We hope to see you in the next one! #KnowledgePromptingHackathon2023

We are very pleased to welcome Jan-Christoph Kalo to INDElab and Informatics Institute University of Amsterdam / UvA Amsterdam as a new assistant professor. He brings his expertise on Language Models & KGs to the group from VU Learning & Reasoning KRR Group, VU Amsterdam

We have an opening for a PhD position in Systems for Data Quality in AI applications. Closing Oct 31 Sebastian @k_irion Paul Groth stefania milan vacatures.uva.nl/UvA/job/PhD-Po…

We're happy to be International Semantic Web Conference this week! Say hi to Jan-Christoph Kalo Erkan Karabulut and Effy X. Li . We have papers at LM-KBC Challenge and KBC-LM workshop @ ISWC 2025 and the SemIIM workshops. #iswc2023

Our opening for a tenure-track assistant professor in #dataengineering is closing soon (Nov 30) This is part of UvA Faculty of Science MacGillavry Fellowship for female scientists. Come join our amazing team at the lab and Informatics Institute University of Amsterdam uva.nl/en/about-the-u…

We are hiring! A PhD position in Data Quality for and using AI. Closing date: March 17. vacatures.uva.nl/UvA/job/PhD-Po…

The AI Mirror Test The "mirror test" is a classic test used to gauge whether animals are self-aware. I devised a version of it to test for self-awareness in multimodal AI. 4 of 5 AI that I tested passed, exhibiting apparent self-awareness as the test unfolded. In the classic

🎉Our paper “Towards Efficient Data Wrangling with LLMs using Code Generation” has been accepted at DEEM Workshop @ SIGMOD at SIGMOD! We envision a hybrid approach that utilizes LLM to generate code and apply on per row basis for data wrangling. Work done at MotherDuck w/ Till Döhmen

Today, we will present our work, "Towards Efficient Data Wrangling with LLMs using Code Generation", in the DEEM Workshop @ SIGMOD at 11:10 am in the Tupungato room! Come and check it out 🥳. Till Döhmen effyli.github.io/waddle_code.pdf

MotherDuck, the ducking simple data warehouse, is now Generally Available! 🍾🥂 Thank you to our community of thousands of users who have tested, validated, and helped improve MotherDuck over the last year.❤️🦆 motherduck.com/blog/announcin…

The MotherDuck team was at ACM SIGMOD Conference recently, presenting our paper "Towards Efficient Data Wrangling with LLMs using Code Generation" by Effy Li and Till Döhmen You can read about the paper 👇 📰 dl.acm.org/doi/10.1145/36…

We have an opening for a PhD position in #knowledgeengineering focused AI and domain expert workflows in scholarly applications with Lise Stork and Paul Groth vacatures.uva.nl/UvA/job/PhD-po…

We have a **PhD opening in Berlin** on "Responsible Data Engineering", with a focus on efficiently maintaining and evaluating datasets and pipelines for ML use cases. This is a fully-funded position at the DEEM Lab, as part of BIFOLD . deem.berlin/#jobs-2225

I gave my first keynote talk yesterday 🎙️ at the ELLIS workshop on Representation Learning and Generative Models for Structured Data ✨. ➡️I talked about LLMs for Data Preparation 📊. It was a great workshop with people from all over Europe presenting interesting work!