• “Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses” accepted at NLP4HR workshop at EACL2024

    “Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses” accepted at NLP4HR workshop at EACL2024

    Lois Rink, our former MSc data science intern at Randstad Groep Nederland, has published her thesis at the 1st Workshop on Natural Language Processing for Human Resources (NLP4HR), to be held at EACL 2024. Lois’ thesis is titled Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses, and was written under supervision of Job Meijdam and…

  • guest speaker at NLP4HR workshop

    guest speaker at NLP4HR workshop

    Looking forward to giving an invited talk at the first NLP4HR workshop, to be held at EACL 2024 in St. Julians, Malta!

  • randstad position paper on AI published

    randstad position paper on AI published

    Yesterday, randstad published the position paper titled “the labor market and AI.” It contains some references to the ethical AI work I’ve been working on with my team, specifically: our efforts in internal auditing and bias mitigation strategies for AI-based matching systems, and our membership of the FINDHR consortium in which we collaborate with a number of…

  • FINDHR CV Data Donation Campaign

    FINDHR CV Data Donation Campaign

    🗣️ 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…

  • Three papers accepted at RecSys in HR 2023

    Three papers accepted at RecSys in HR 2023

    For this year’s edition (the third in a row) of the Recommender Systems in Human Resources workshop, to be held at the ACM RecSys Conference in Singapore, I co-authored three accepted papers: Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variant This paper is based on the MSc Data Science thesis of…

  • in “Shaping the Future” podcast on inclusive algorithms

    in “Shaping the Future” podcast on inclusive algorithms

    Happy I was invited to contribute to this podcast (🇳🇱) about inclusivity in algorithms. Together with Tekla de Veer from DEPT®, I talk with Jimmy de Vreede (Springbok Agency and the DDMA committee Data, Decisions & Engagement) about everything from bias in generative AI, composition of data science teams, to technological possibilities in reducing bias…

  • Beyond Ethics Washing: Impact Assessments, Ausdits, and Oversight for AI panel recording available

    Beyond Ethics Washing: Impact Assessments, Ausdits, and Oversight for AI panel recording available

    CPDP Conferences published the recording of the “Beyond Ethics Washing” panel on YouTube, moderated by Mirko Tobias Schäfer (Utrecht University) with Iris Muis (Utrecht Data School), Paul Nemitz (European Commission), Maria Koomen (Open Governance Network for Europe) and myself. Watch it below (and watch all the other panels on CPDP’s YouTube channel):

  • Interviewed by The Netherlands Institute for Human Rights

    Interviewed by The Netherlands Institute for Human Rights

    I was interviewed by the Netherlands Institute for Human Rights, along with Joke de Groot, director HR flex at Randstad Groep Nederland, on AI and bias in the context of algorithmic matching. Read the full article (in Dutch) here: ‘Collega’s zullen nooit volledig afgaan op wat onze algoritmes zeggen’

  • DDMA Digital Talk: “De AI act: Zo bereid jij je optimaal voor”

    DDMA Digital Talk: “De AI act: Zo bereid jij je optimaal voor”

    I’ll be part of a panel during a Digital Talk by the DDMA, to talk about the AI Act, and its potential implications for data-driven marketeers, alongside Peter van der Putten (PEGA / Leiden Universiteit) and Romar van der Leij (DDMA). See all the details (in Dutch) at the DDMA event page.

  • CPDP2023 panel “Beyond Ethics Washing: Impact Assessments, Audits,  and Oversight for AI”

    CPDP2023 panel “Beyond Ethics Washing: Impact Assessments, Audits, and Oversight for AI”

    Update: see a writeup of our panel here Excited to be participating in a panel at the “Computers, Privacy & Data Protection” (CPDP) conference in Brussels. The panel is organized by Mirko Schäfer (Utrecht University), and I’ll be engaging in a conversation with Iris Muis (Utrecht Data School), Paul Nemitz (European Commission) and Maria Koomen…

  • RecSys in HR 2023 Workshop at ACM RecSys 2023

    RecSys in HR 2023 Workshop at ACM RecSys 2023

    Very excited that this year too I will engage in one of my favorite “extra-curricular activities” 😅: our proposal to organize the (third!) “Recommender Systems in Human Resources” workshop has been accepted in the the program of the 17th ACM Conference on Recommender Systems! After our first edition in Amsterdam in 2021, and the second…

  • Guest lecture on “Job Recommendation” at RecSys Summer School 2023

    Guest lecture on “Job Recommendation” at RecSys Summer School 2023

    I look forward to giving a guest lecture on “Job Recommendation” alongside Mesut Kaya at the RecSys Summer School 2023 in Copenhagen 🇩🇰! It was only 4 years ago when I stood side-by-side with Daan Odijk for a lecture and hands-on workshop on “Recommender Systems in the Media Industry,” at the last RecSys Summer School in 2019, which was…

  • Featured in Recsperts on ‘Recommender Systems in Human Resources’

    Featured in Recsperts on ‘Recommender Systems in Human Resources’

    It is now official, right? I am now a recommender system expert (by virtue of appearing on Marcel Kurovski‘s Recsperts podcast series). It was great fun to geek out with a knowledgeable host on anything recsys in HR, we touch on fairness, difficulties with delayed feedback signals, our RecSys in HR Workshop, and how I…

  • AI for Good at Felix Meritis

    AI for Good at Felix Meritis

    Yesterday evening I was a guest next to Dasha Simons (IBM) and Oumaima Hajri (Hogeschool Rotterdam) in Felix Meritis at the invitation of Laurens Vreekamp to talk about — among other things — fair AI, ethics, and algorithmic bias. It was nice and important to be able to discuss these topics from an optimistic and…

  • “Transfer learning for multilingual vacancy text generation” preprint available

    “Transfer learning for multilingual vacancy text generation” preprint available

    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…