Top-19 articles of 2019

With only one day remaining in 2019, let’s review the year. 2019 was my third year of blogging and it went by even quicker than the previous two! Personally, it has been a busy year for me: I started a new job, increased my speaking and teaching activities, bought and moved to my new house,…

Zeit’s interactive visualization of the 2019 European election results

Zeit — the German newspaper — analyzed recent election results in over 80,000 regions of Europe. They discovered many patterns – from the radical left to the extremist right. Moreover, they allow you to find patterns yourself, among others in your own region. They published the summarized election results in this beautiful interactive map of…

Pimp my RMD: Tips for R Markdown – by Yan Holtz

R markdown creates interactive reports from R code, including interactive reports, documents, dashboards, presentations, and even books. Have a look at this awesome gallery of R markdown examples. Yan Holtz recently created a neat little overview of handy R Markdown tips and tricks that improve the appearance of output documents. He dubbed this overview Pimp my RMD….

Two years of paulvanderlaken.com

Yesterday was the second anniversary of my website. I also reflected on this moment last year, and I thought to continue the tradition in 2019. Let me start with a great, big THANK YOUto all my readers for continuing to visit my website! You are the reason I continue to write down what I read….

IBM’s Watson for Oncology: A Biased and Unproven Recommendation System in Cancer Treatment?

The below reiterates and summarizes this Stat article. Recently, I addressed how bias may slip into Machine Learning applications and this weekend I came across another real-life example: IBM’s Watson, specifically Watson for Oncology. With a single machine, IBM intended to tackle humanity’s most vexing diseases and revolutionize medicine and they quickly zeroed in on a high-profile target:…

‘Wie is de Mol?’ volgens Twitter – Deel 2 (s17e2)

Dit is een repost van mijn Linked-In artikel van 17 januari 2017. Helaas heb ik er door gebrek aan tijd geen vervolg meer aan gegeven. De twitter data ben ik wel blijven scrapen, dus wie weet komt het nog… TL;DR // Samenvatting Vorige week postte ik een eerste blog (Nederlands & Engels) waarin ik Twitter gebruik om…

‘Wie is the Mol?’ according to Twitter – Part 1 (s17e1)

This is a repost of my Linked-In article of January 10th 2017. The Dutch version of this blog is posted here. TL;DR // Summary In order to analyze which of the contestants of a Dutch television game show was suspected of sabotage by public opinion, 10,000+ #WIDM tweets were downloaded and analyzed. Data analysis of…

“Wie is de Mol?” volgens Twitter: Deel 1 (s17e1)

Dit is een re-post van mijn Linked-In artikel van 10 januari 2017. Deel 2 vind je hier. TL;DR // Samenvatting Om te achterhalen in welke mate kandidaten verdacht worden door het Nederlandse publiek heb ik 10,000+ #WIDM tweets gedownload en geanalyseerd. Hoewel niets is wat het lijkt, komt uit de tweets duidelijk naar voren dat bepaalde…

EAWOP 2017 – Takeaways

Past week, I attended the 2017 conference of the European Association of Work and Organizational Psychology (EAWOP), which was hosted by University College Dublin. There were many interesting sessions, the venue was amazing, and Dublin is a lovely city.  Personally, I mostly enjoyed the presentations on selection and assessment test validity, and below are my…