Paper accepted at ICAIL 2026: LLMs for Generating Decision Models from Legal Text
April 9, 2026
🎉 Full paper accepted at the 21st International Conference on Artificial Intelligence and Law (ICAIL 2026): “From Legal Text to Executable Decision Models: Evaluating Structured Representations for Legal Decision Model Generation” Get the preprint, here: This paper studies LLMs and representation for generating executable decision models from legal text, using the Dutch Environment and Planning […]
Call for Papers: AI & Open Government Workshop at ICAIL 2026
February 10, 2026
We’re excited to announce the AI & Open Government Workshop (AIOG), co-located with ICAIL 2026 in Singapore on June 8, 2026. The call for papers is now open! Together with Graham McDonald (University of Glasgow) and Jason R. Baron (University of Maryland), I’m co-organizing this workshop to bring together researchers and practitioners working at the […]
WooPush: technology of the attention economy, for informed citizenship
January 23, 2026
TikTok knows what you want to see. Why doesn’t the government know what you need to know? Yesterday I gave a keynote at the Dutch Ministry of the Interior’s Open Data Conference, where I shared my latest brainchild, working title: WooPush (an obvious combination of my current OpenGov and prior RecSys work). The motivation: the […]
“Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey” preprint available
April 9, 2024
Together with some of the researchers in FINDHR we have authored and submitted an extensive survey on algorithmic hiring. The preprint is available here: In this multidisciplinary work we bring together different perspectives from computer science, law, and practitioners to extensively survey literature and classify so-called “bias conducive factors,” i.e., factors that contribute to bias […]
Participating in the AIMMES 2024 Workshop
March 18, 2024
On March 20 I am participating in the first Workshop on AI bias: Measurements, Mitigation, Explanation Strategies Amsterdam, as part of the AI Fairness Cluster Inaugural Conference (FINDHR is part of the AI Fairness Cluster). I am looking forward to this workshop with a strong program, where I have also contributed to the following two […]
FINDHR CV Data Donation Campaign
September 4, 2023
🗣️ Please consider donating your (anonymized) CV to advance research into bias mitigation in algorithmic hiring! With Randstad we are part of a consortium of research institutions (e.g., University of Amsterdam, Radboud Universiteit, Universitat Pompeu Fabra), civil society organizations (e.g., AlgorithmWatch), and companies (e.g., Adevinta) under the EU-funded FINDHR research project. The FINDHR project aims to: 1️⃣ create new ways to […]
“Transfer learning for multilingual vacancy text generation” preprint available
November 1, 2022
Anna Lőrincz‘ UvA MSc. data science thesis “Transfer learning for multilingual vacancy text generation” — which was graded a 9/10 💫 — was recently accepted at the The Second Version of Generation, Evaluation & Metrics (GEM) Workshop 2022 which will be held as part of EMNLP, December 7-11, 2022! Get the pre-print here: In her work, Anna explores […]
RecSys in HR 2022 Workshop Recording available
October 6, 2022
We have published the full recording of our RecSys in HR 2022 workshop, which we held September 22 in Seattle, WA, USA. The video is 5h42m43s long, so to guide you, I provide you the following list of highlights (see the video description for timestamps that will allow you to instantly skip to the sections described below): 1️⃣ Our first […]
Three papers accepted at RecSys in HR 2022 Workshop
September 6, 2022
🎉 A little success to share: three of our former data science interns at the Data Science chapter at Randstad Groep Nederland have written and published their master theses at our upcoming RecSys in HR Workshop; an academic workshop that revolves around AI in HR, which is part of an ACM International Conference on Recommender Systems (the AI systems […]
RecSys in HR at ACM RecSys 2022 in Seattle!
April 10, 2022
Fantastic news! We’ve received word the 2nd edition of our “Recommender Systems for Human Resources” (RecSys in HR) Workshop has been accepted to be included in the ACM RecSys 2022 program, to be held in Seattle! Last year’s (first) edition of our workshop was co-located with ACM RecSys 2021 in Amsterdam, and featured two keynotes, a panel, […]
Two papers accepted at the RecSys in HR Workshop!
August 23, 2021
Happy to have learned we have two papers accepted at the first Recommender Systems in Human Resources Workshop, co-located with ACM RecSys 2021! These papers are the first academic publications of the Data Science Chapter at Randstad Groep Nederland! Curious to know what they’re about? I tweet better than I blog 👇 Stay tuned for […]
Co-organizing “RecSys in HR” workshop at RecSys 2021!
March 18, 2021
We received news that our workshop proposal “RecSys in HR: Workshop on Recommender Systems for Human Resources” was accepted for inclusion in the 15th ACM Conference on Recommender Systems (RecSys 2021) program! That means we’ll be running a full-day workshop with (research and position) papers, keynotes, and a panel (all TBD) during the conference which will […]
“Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation” accepted at UMAP2020!
April 21, 2020
The paper we wrote with former FD team mates Feng Lu and Anca Dumitrache has been accepted for publication as a long paper at UMAP 2020, the 28th Conference on User Modeling, Adaptation and Personalization! (I fondly remember my last time at UMAP, in 2016 😏) We have published a preprint of this paper, get […]
PodRecs: Workshop on Podcast Recommendations PC
April 4, 2020
I was invited to join the program committee of (the first) PodRecs: Workshop on Podcast Recommendations (to be held at RecSys’20). Since our work on BNR SMART Radio, I am really interested in the space of audio, recommender systems, and information retrieval. Curious to see the submissions! See the PodRecs call for papers, and check […]
“Improving automated segmentation of radio shows with audio embeddings”
July 5, 2019
Update (28/1/2020): Oberon’s thesis was accepted and will be published at the IEEE 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), to be held May 4-8 in Barcelona, Spain! The submission is co-authored with Klaus Lux and myself. Oberon Berlage recently successfully defended his MSc. thesis (title above!) for the Data Science […]

Research

Welcome to my researchblog. All posts related to my PhD research in Semantic Search for e-Discovery at the Information and Language Processing Systems group (ILPS) at the Universiteit van Amsterdam.