Privacy, Compliance, and Ethical Issues with Predictive People Analytics

November 9th 2018, I defended my dissertation on data-driven human resource management, which you can read and download via this link. On page 149, I discuss several of the issues we face when implementing machine learning and analytics within an HRM context. For the references and more detailed background information, please consult the full dissertation. More interesting reads on ethics in machine learning can be found here….

Analytics in HR case study: Behind the scenes

Past week, Analytics in HR published a guest blog about one of my People Analytics projects which you can read here. In the blog, I explain why and how I examined the turnover of management trainees in light of the international work assignments they go on. For the analyses, I used a statistical model called a survival…

Predicting Employee Turnover at SIOP 2018

The 2018 annual Society for Industrial and Organizational Psychology (SIOP) conference featured its first-ever machine learning competition. Teams competed for several months in predicting the enployee turnover (or churn) in a large US company. A more complete introduction as presented at the conference can be found here. All submissions had to be open source and the…

13 Data-Driven Insights to Improve Your Job Search

Talent.Works is back, elaborating on the applicant characteristics that relate to landing an interview. While the majority of applicants has a meager ~2% chance of getting invited to an interview, some applicants do way better! What accounts for their success? Analyzing 4000+ applicants, Talent.Works found 13 factors that related to getting an interview. There are…

Predictive HR Analytics

Tilburg University has set up a masterclass Predictive HR Analytics. In 3 days, the Professional Learning program will teach you all you need to know to implement predictive analytics and take HR to the next level. More information can be found here. What makes this program unique? The masterclass Predictive HR Analytics goes beyond HR analytics…

HR Analytics: Een 7e zintuig voor de moderne HR-professional

Wat gebeurt er in Nederland op het gebied van HR Analytics? Dit nieuwe boek laat zien wat enkele Nederlandse organisaties de afgelopen jaren daadwerkelijk hebben ondernomen. De verschillende auteurs, waaronder ik mij mag scharen, geven een kijkje in de praktijkwereld van het onderbouwen van HR-beslissingen aan de hand van diverse databronnen en analysetechnieken. Ze verklaren…

Talent Works: Data Science to improve Job Application Chances

Searching and applying to jobs can be a costly activity, requiring many hours upon hours of perfecting your motivation letter and CV. Hence, it can be very frustrating to get ghosted (not receiving a reply) for a job. Luckily, Talent Works is able to give us some general tips when it comes to improving the…

Simpson’s Paradox: Two HR examples with R code.

Simpson (1951) demonstrated that a statistical relationship observed within a population—i.e., a group of individuals—could be reversed within all subgroups that make up that population. This phenomenon, where X seems to relate to Y in a certain way, but flips direction when the population is split for W, has since been referred to as Simpson’s…