NEWEL - Work to Wellbeing

Research on associate Wellbeing and data ethics and explainability.

In 2017 Ahold Delhaize received a prestigious academic grant to start the 'Work to Wellbeing' research project. This initiative investigates the fundamental drivers of associates’ wellbeing. Studies in this project are part of the New Science of Existential Wellbeing (NEWEL) program which is jointly funded by the Netherlands Organization for Scientific Research (NWO) and Ahold Delhaize. Work to Wellbeing brings together the Advanced Analytics group at Ahold Delhaize and leading academic researchers such as Maarten de Rijke (artificial intelligence, University of Amsterdam), philosophers (University of Twente) and happiness economists (Erasmus University). The project is unique because it recognizes that wellbeing, including happiness in the workplace and enduring life satisfaction, is an intrinsically valuable goal for organizations. Thus, the project underscores Ahold Delhaize’s broader commitment to responsibly shaping the future of work.

Specific objectives include:

  • Exploring the philosophical justification of associate wellbeing as a moral aim for large organizations
  • Formulating principled guidelines for responsible use of data applied to the workplace
  • Developing  techniques for the analysis of work-related data
  • Better understand associate wellbeing through academic research

The project is led by members of Ahold Delhaize's Advanced Analytics team, which strives to increase the quality of decision-making in HR and other areas using scientific insights and data. Together with a multidisciplinary team of researchers, they will measure, analyze and strive to improve associate wellbeing, tailored for the diverse and international workforce of Ahold Delhaize.

Work To Wellbeing researchers: 

Owen C. King, PhD

Postdoctoral Researcher,  Department of Philosophy,  University of Twente

Articles:
King, O. C. (2018). Pulling Apart Well-Being at a Time and the Goodness of a Life. Ergo, 5:13, 349-370. 
King, O. C. (forthcoming). The good of today depends not on the good of tomorrow: a constraint on theories of well-being. Philosophical Studies. 
King, O. C. (forthcoming). Presumptuous aim attribution, conformity, and the ethics of artificial social cognition. Ethics and information technology.

Links:
University of Twente, Department of Philosophy 
Owen's home page 
Owen on LinkedIn 


 

Ana Lucic, MSc

PhD Student, Informatics Institute, University of Amsterdam

Ana researches interpretability in machine learning.

Articles:
A. Lucic, H. Haned, M. de Rijke. “Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting”. FAT* 2020.
A. Lucic, H. Haned, M. de Rijke. “Explaining Predictions from Tree-based Boosting Ensembles”. SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency and Safety in Information Retrieval.


 

Indy Wijngaards, MSc

PhD Candidate,  Erasmus School of Health & Policy Management Erasmus University Rotterdam

Indy studies the effects of organizational interventions and leadership behavior on employee well-being and looks into the potential of non-survey methods for measuring employee well-being.

Articles:
- Wijngaards, I., Hendriks, M., & Burger, M. J. (2019). Steering towards happiness: An experience sampling study on the determinants of happiness of truck drivers. Transportation research part A: policy and practice, 128, 131-148. 

- Wijngaards, I., Burger, M., & van Exel, J. (2019). The promise of open survey questions—The validation of text-based job satisfaction measures. PloS one, 14(12). https://doi.org/10.1371/journal.pone.0226408

Links:
- Indy on LinkedIn
- EHERO


Hinda Haned, PhD

Lead Data Scientist, Ahold Delhaize
Professor by special appointment, University of Amsterdam

Hinda's research focuses on researching and developing solutions for best practices for safe and responsible machine learning. 


Bart Voorn, PhD

Director Analytics & Lead AI for Retail Lab Ahold Delhaize

Bart researches management strategy, the future of work, and integration of analytics capabilities in organizations.