• Panel on AI and Inclusivity in the Labor Market

    Panel on AI and Inclusivity in the Labor Market

    Update: unfortunately but understandably (in light of the pandemic), this conference has been post-poned until further notice. December 9th I will join a panel discussion on AI and equal opportunities in the labor market (together with Siri Beerends & Rina Joosten-Rabou), at a conference organized by WOMEN INC. An offline event in Utrecht (Corona volente)! […]

  • RecSys in HR Workshop Recording available

    RecSys in HR Workshop Recording available

    For those who missed it — like myself 😏 — we have now published the full recording of our Recommender Systems in Human Resources (RecSys in HR) Workshop, which was held on October 1st, in conjunction with the ACM RecSys Conference in Amsterdam. Our workshop included two keynotes, eight paper presentations, breakout sessions, a virtual panel on […]

  • AI & Data Science MSc thesis internship projects @ Randstad Groep Nederland

    Another academic year, another (short)list of potential projects. Are you a final-year AI or data science student, interested in doing an internship with us? Reach out! First, read below why you would want to join us, and scroll further down for the following project descriptions: Job Description Generation (NLP) Conversational/QA approaches for resume information extraction […]

  • Two papers accepted at the RecSys in HR Workshop!

    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 […]

  • Webinar on governing AI

    Together with Helen Hulsker I joined of a webinar on governing AI by Dataiku, read the blurb here: There are many obstacles for Data Scientists in effectively governing the use of AI such as, overcoming the bias inherent in historical data, agreeing on the boundaries of governing AI with the business, and perhaps most importantly, […]

  • Keynote on Data Science in HR at FEAST Workshop (@ ECML-PKDD 2021)

    Excited to be giving a keynote at the International Workshop on Fair, Effective And Sustainable Talent management using data science (FEAST workshop), part of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021). I’ll give a talk about some of our recent data science projects Randstad Groep […]

  • Forget the Trolley Problem; Pragmatic and Fair AI in the Real World

    Update: my article has been published on TowardsDataScience, selected as an editor’s pick, and highlighted in TowardsDataScience’s weekly newsletter “The Variable”! The AI doomsday scenarios, ignited by books such as The Filter Bubble (2011) and Weapons of Math Destruction (2016), are slowly being superseded by more pragmatic and nuanced views of AI. Views in which we acknowledge we’re in control of AI and […]

  • Co-organizing “RecSys in HR” workshop at RecSys 2021!

    Co-organizing “RecSys in HR” workshop at RecSys 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 […]

  • Algorithmic bias and bias mitigation talk at the anti-discrimination hackathon

    That was fun! The Online Anti-Discrimination Hackathon ran last weekend, a hakacthon co-organized by Ministerie van OCW, Inspectie SZW, Ministerie van BZK, and Hackathon Factory which revolved around “gender discrimination in data collection and labeling for automated assessment and selection of candidates.” Having ample experience in designing and developing AI-powered candidate selection systems, and the […]

  • Joined the DDMA AI Committee

    I recently joined the Artificial Intelligence committee of the Data Driven Marketing Association (DDMA), which aims to promote the use of responsible AI for marketing and other forms of interaction with customers. Read the small introductory post published by the DDMA below (in Dutch) David Graus, Randstad Groep Nederland, Commissie AI: “AI biedt enorme kansen […]

  • De online fabeltjesfuik bestaat (ook) niet

    Update: I shared this post on LinkedIn where it received 25k+ views and a bunch of comments! Leuk stuk van Lubach, maar als filterbubbelontkenner en iemand die een flink deel van z’n boterham verdient aan het bouwen aan soortgelijke “algoritmen” voel ik me wel geroepen wat nuance in te brengen 😉.

  • Joined the #RecSys2021 organizing committee

    After attending the beautiful virtual 14th ACM Conference on Recommender Systems (RecSys2020), I am happy to start looking forward to RecSys2021, which will be held in Amsterdam! I am super excited to share that I’ve joined the organizing committee of RecSys2021 as local outreach chair, which means I’ll help out assisting the other chairs and […]

  • Internships and MSc. projects at Randstad Groep Nederland

    About Randstad Work with impact. At Randstad Groep Nederland IT you keep the country moving, enabling people across sectors to do their work, getting pizza on your table and your suitcase on the plane. Your AI solutions mean tomorrow’s recruiter is smarter and faster but still embodies our human forward approach, combining tech with a […]

  • Joined the board of SETUP

    I have joined the board of SETUP, a Utrecht-based medialab established in 2010. SETUP’s mission is: to educate a wide audience, providing them with the tools necessary to design this brave new world, and infuse it with human values and new-found creativity. ~ SETUP This mission perfectly fits my personal conviction that knowledge and understanding […]

  • I have emerged…

    … as an entity in the Google Knowledge Graph! Which is funny, because “emerging entities” were the main topic of my PhD Thesis [1]. With my co-authors I’ve published research on: Learning how to recognize “out-of-knowledge base” entities emerging on social media [2] How our collective memory is formed through “emerging entities” on Wikipedia [3], […]