Panel discussion

This year’s conference will have a new element in the program: the panel discussion. In the panel discussion, a couple of leading practitioners and academics are invited to share their view on this year’s theme of the conference “People Analytics: is the sky the limit?”.

The panel discussion will take place between 15.15h and 16.15h. The panel discussion will consist of a broad palette of academics and professionals who, guided by the chairman of the day (Sjoerd van den Heuvel), critically approach the concept of people analytics. The panel consists of Tertia Wiedenhof, Paul van der Laken and Ronald Leenes. Depending on the time, the following three themes will be discussed:

– HR as a restriction for people analytics
– Privacy and ethics
– Individual and social well-being

The panel discussion will be interactive with the audience.
Are you planning to visit the conference and do you have any burning questions about the limitedness or unlimitedness of people analytics? Safe them for the panel discussion or ask the participants individually during the poster market!


Tertia Wiedenhof

Tertia is a senior consultant people insights in the People Analytics team at Rabobank. She uses her experience in the field of decision-making and innovation to make HR more data-driven. She is very curious about what makes employees happy and fully endorses the HR mission of Rabobank, which is Happy People = Happy Customers. According to Tertia, working fact-based goes hand in hand with using your experience and intuition.






Prof. dr. Ronald Leenes

Ronald is full professor in regulation by technology and director of the Tilburg Institute for Law, Technology, and Society (Tilburg University). His primary research interests are techno-regulation, conceptual issues with respect to privacy, data protection in practice, data analytics, accountability and transparency, regulatory failure, robotics and human enhancement.



Paul van der Laken

During the past six years, Paul has managed and executed analytical initiatives at several multinational organizations. Topics have included predictive modelling, time-to-event analysis, intervention ROI, NLP and text mining, BI dashboarding, automated reporting, and research design and assessment. In 2018, Paul attained his Ph.D. on the application and value of analytics for personnel management.
Since 2015, Paul provides workshops in data science and statistical programming for in-house programs and for post-graduate business schools. You can find more information on Here, you may also read his blog on topics related to statistical programming in R and Python, data science and machine learning, and (interactive) data visualization.