WAARDENBURG Lauren
Department : Information Systems, Decision Sciences and Statistics
Assistant Professor
Campus de Cergy
Contact
- email : lauren.waardenburg@essec.edu
Diplomas
- 2021 : Doctor of Philosophy, Business administration, Management (Vrije Amsterdam University, Netherlands)
Career
- 2023 - Present : Assistant Professor (ESSEC Business School, France)
Full-time academic appointments
Grants
- 2022 : Region Hauts-de-France Research Grant
- 2022 : Society for the Advancement of Management Studies - Developing the Management Studies Community Funding
- 2019 : Erasmus+ Grant
- 2019 : SMS Technology and Innovation Grant
Awards
- 2022 : Grigor McClelland doctoral dissertation award
- 2022 : Outstanding associate editor, Academy of Management CTO Division
- 2022 : Runner-up best paper award, Academy of Management CTO Division
- 2017 : NWO Research Talent Grant
- 2015 : Vrije Universiteit thesis prize
Journal articles
- WAARDENBURG, L., HUYSMAN, M. and SERGEEVA, A. (2022). In the land of the blind, the one-eyed man is king: Knowledge brokerage in the age of learning algorithms. Organization Science, 33(1), pp. 59–82.
- WAARDENBURG, L. and HUYSMAN, M. (2022). From coexistence to co-creation: Blurring boundaries in the age of AI. Information and Organization, 32(4).
- ZHANG, Z., NANDHAKUMAR, J., HUMMEL, J. and WAARDENBURG, L. (2020). Addressing key challenges of developing AI systems for knowledge intensive work. MIS Quarterly Executive, 19(4), pp. 221–238.
- WAARDENBURG, L., SERGEEVA, A. and HUYSMAN, M. (2020). Predictive policing ontcijferd: Een etnografie van het 'Criminaliteits Anticipatie Systeem' in de praktijk. Cahiers Politiestudies, (54), pp. 69–88.
Books
- WAARDENBURG, L., HUYSMAN, M. and AGTERBERG, M. (2022). Managing AI wisely: From development to organizational change in practice. Edward Elgar Publishing Ltd.
- WAARDENBURG, L. (2021). Behind the scenes of artificial intelligence: Studying how organizations cope with machine learning in practice. HAVEKA.
- WAARDENBURG, L., HUYSMAN, M. and AGTERBERG, M. (2021). S.L.I.M. managen van AI in de praktijk: Hoe organisaties slimme technologie implementeren. Mediawerf.
Book chapters
- WAARDENBURG, L. and MÁRTON, A. (2023). It takes a village: The ecology of explaining AI. In: M. Stelmaszak Rosa, I. Constantiou, and M. Joshi eds. The handbook on AI and decision making. 1st ed. Edward Elgar Publishing Ltd.
- WAARDENBURG, L., SERGEEVA, A. and HUYSMAN, M. (2018). Hotspots and blind spots. In: Schultze, U., Aanestad, M., Mähring, M., Østerlund, C., Riemer, K. eds. Living with monsters? Social implications of algorithmic phenomena, hybrid agency, and the performativity of technology. 1st ed. Springer, pp. 96–109.
Conference Proceedings
- WAARDENBURG, L., SERGEEVA, A. and HUYSMAN, M. (2022). Juggling street work and data work: An ethnography of policing and reporting practices. In: 82nd Annual Meeting of the Academy of Management. Seattle: Academy of Management.
- WAARDENBURG, L., BAER, I. and HUYSMAN, M. (2022). What are we augmenting? A multidisciplinary analysis of AI-based augmentation for the future of work. In: ICIS 2022. Copenhagen: ICIS.
- WAARDENBURG, L. and HAFERMALZ, E. (2022). De-situated police officers: The embodied and material realities of accessing information in action. In: 13th PROS Symposium. Rhodes.
- WAARDENBURG, L., SERGEEVA, A. and HUYSMAN, M. (2021). The burden of data production: How anticipating data work shapes police practices. In: 37th Colloquium of the European Group for Organizational Studies. Amsterdam.
- WAARDENBURG, L. (2020). Filling the void: How occupational authority emerges from curating learning algorithms. In: 80th Annual Meeting of the Academy of Management. Online.
Theses
- Ongoing : BAER I., Thesis co-director
- Ongoing : BRUGGELING M., Thesis co-director
- Ongoing : SANCHEZ RAMIREZ J., Thesis co-director