Category: Blog
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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…
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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…
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The 2nd RecSys in HR Workshop
And that’s a wrap! Yesterday we had our RecSys in HR Workshop at the ACM RecSys 2022 conference. 👉 I was happy to (virtually) chair the workshop’s panel (with Helen Hulsker, Carlos Castillo (ChaTo), Liangjie Hong, and Robyn Rap). And hope the rest of the panel will take Helen’s suggestion to heart and book a ☕️ meeting with their lawyer colleagues soon…
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Three papers accepted at RecSys in HR 2022 Workshop
🎉 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…
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Another cohort of Data Science students finished
Very proud of the latest cohort of Data Science thesis interns at Randstad Groep Nederland. In absence of a “real” defense at the University of Amsterdam, we organized our own afternoon packed with defenses (and subsequent drinks) in our Randstad HQ in Diemen. At the end of the afternoon we were able to congratulate Roan, Anna, and…
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RecSys in HR at ACM RecSys 2022 in Seattle!
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,…
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At KINTalks on AI in HR
I’m giving a talk at the KINTalks series, organized by the KIN Center for Digital Innovation on March 25. It’s going to be a hybrid event, so happy to meet you at the VU Amsterdam, and if not, see you online! RSVP here on EventBrite. KINTalks is a hybrid event where practitioners are invited to…
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Two papers accepted at CompJobs ’22
We have two papers accepted at “The First International Workshop on Computational Jobs Marketplace“, co-located with WSDM 2022. Both papers are based on work done by two of our former thesis interns at Randstad Groep Nederland! ☝️ Ninande Vermeer worked under supervision of Sepideh Mesbah and Vera Provatorova (UvA) on: “Using RobBERT and eXtreme Multi-Label Classification to Extract Implicit and Explicit Skills…
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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)!…
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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…
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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…
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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,…
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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…
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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…
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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…