trgr.digi

Department of Digitalization

Travis
Greene
Assistant professor
,
ph.d


Room: HOW/60-5.15
E-mail: trgr.digi@cbs.dk
Presentation

Travis is a tenure-track Assistant Professor at Copenhagen Business School’s Department of Digitalization. He holds a Ph.D. in business analytics from the Institute of Service Science at National Tsing Hua University in Taiwan. With a background in philosophy (BA/MA) and business (MBA), and research interests in personalization, data science ethics, and AI and data protection law, his research has appeared in journals such as Nature Machine Intelligence, Journal of the Association for Information Systems, Journal of the Royal Statistical Society, and Big Data. His interdisciplinary work aims to contribute new perspectives, frameworks, and ideas from the humanities into data science, and vice versa.

Primary research areas
  • Data Science Ethics
  • Personalization
  • AI law and data protection 
Social media
Link to this homepage
www.cbs.dk/en/staff/trgr.digi
Courses
  • Big Data Analytics, MSc Business Administration and Data Science
  • Data Management and Visualization, Msc Business Administration and Data Science
Supervision
  • Personalization
  • AI ethics
Selected publications
  • Greene, T., Martens, D., & Shmueli, G. (2022). Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms. Nature Machine Intelligence, 4(4), 323-330.
  • Greene, T., Shmueli, G. and Ray, S. (2022). Taking the person seriously: ethically-aware IS research in the era of reinforcement learning-based personalization. JAIS Preprints (Forthcoming). 77
  • Greene, T., Shmueli, G., Fell, J., Lin, C. F., & Liu, H. W. (2022). Forks over knives: Predictive inconsistency in criminal justice algorithmic risk assessment tools. Journal of the Royal Statistical Society Series A: Statistics in Society, 185(Supplement_2), S692-S723.
Publications sorted by:
2023
Travis Greene; Amit Dhurandhar; Galit Shmueli / Atomist or Holist? : A Diagnosis and Vision for more Productive Interdisciplinary AI Ethics Dialogue.
In: Patterns, Vol. 4, No. 1, 2023
Review article > peer review
Travis Greene; Galit Shmueli / Persons and Personalization on Digital Platforms : A Philosophical Perspective.
In: Philosophy of Artificial Intelligence and Its Place in Society. ed. /Luiz Moutinho; Luís Cavique; Enrique Bigné. Hershey PA : IGI global 2023, p. 214-270
Book chapter > peer review
Travis Greene; Galit Shmueli; Soumya Ray / Taking the Person Seriously : Ethically Aware IS Research in the Era of Reinforcement Learning-based Personalization.
In: Journal of the Association for Information Systems, Vol. 24, No. 6, 11.2023, p. 1527-1561
Journal article > peer review
2022
Travis Greene; David Martens; Galit Shmueli / Barriers to Academic Data Science Research in the New Realm of Algorithmic Behaviour Modification by Digital Platforms
In: Nature Machine Intelligence, Vol. 4, No. 4, 4.2022, p. 323–330
Journal article > peer review
Travis Greene; Galit Shmueli; Jan Fell; Ching-Fu Lin; Han-Wei Liu / Forks Over Knives : Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools.
In: Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 185, No. Supplement 2, 12.2022, p. S692–S723
Journal article > peer review