Data ethics and data science: An uneasy marriage?

Esther Keymolen; Linnet Taylor

doi:10.1007/978-3-031-19554-9_20

Data ethics and data science: An uneasy marriage?

Esther Keymolen^*
, Linnet Taylor

^*Corresponding author for this work

TILT

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

596 Downloads (Pure)

Original language	English
Title of host publication	Data science for entrepreneurship
Subtitle of host publication	Principles and methods for data engineering, analytics, entrepreneurship, and the society
Editors	Werner Liebregts, Willem-Jan van den Heuvel, Arjan van den Born
Publisher	Springer Cham
Pages	481-499
Number of pages	19
ISBN (Electronic)	978-3-031-19554-9
ISBN (Print)	978-3-031-19553-2
DOIs	https://doi.org/10.1007/978-3-031-19554-9_20
Publication status	Published - Mar 2023

Publication series

Name	Classroom Companion: Business
Publisher	Springer
ISSN (Print)	2662-2866
ISSN (Electronic)	2662-2874

Access to Document

10.1007/978-3-031-19554-9_20

Keymolen Taylor 2023 handbook chapter on data ethicsAccepted author manuscript, 301 KB

Regulating Socio-Technical Change
Bex, F. (Researcher), Bijlmakers, S. (Researcher), Borowicz, K. (Researcher), Broer, T. (Researcher), Cuijpers, C. (Researcher), Delimatsis, P. (Researcher), Geradin, D. (Researcher), Goossens, J. (Researcher), Graef, I. (Principal Investigator), Groenleer, M. (Researcher), Hancher, L. (Researcher), Kaufmann, W. (Researcher), Kempeneer, S. (Researcher), Keymolen, E. (Researcher), Koops, B.-J. (Researcher), Kosta, E. (Researcher), Lavrijssen, S. (Researcher), Leenes, R. (Researcher), Monti, G. (Researcher), Noorman, M. (Researcher), Partiti, E. (Researcher), Pierce, R. (Researcher), Purtova, N. (Researcher), Reins, L. (Researcher), Schellekens, M. (Researcher), Stuurman, K. (Researcher), Taylor, L. (Researcher), Wolswinkel, J. (Researcher), de Hert, P. (Researcher), van der Sloot, B. (Researcher), Mendis, S. (Researcher), Kamara, I. (Researcher), Dalla Corte, L. (Researcher), Baumgart, M. (Researcher), Meyers, G. (Researcher), Prins, C. (Researcher), Moerel, L. (Researcher), van Maanen, G. (Researcher), Bassini, M. (Researcher) & Bostoen, F. (Researcher)
1/01/19 → 31/12/23
Project: Research project

Cite this

Keymolen, E., & Taylor, L. (2023). Data ethics and data science: An uneasy marriage? In W. Liebregts, W.-J. van den Heuvel, & A. van den Born (Eds.), Data science for entrepreneurship: Principles and methods for data engineering, analytics, entrepreneurship, and the society (pp. 481-499). (Classroom Companion: Business). Springer Cham. https://doi.org/10.1007/978-3-031-19554-9_20

@inbook{0db8f3ab3b9d442b9464c57f3e77853f,

title = "Data ethics and data science: An uneasy marriage?",

author = "Esther Keymolen and Linnet Taylor",

year = "2023",

month = mar,

doi = "10.1007/978-3-031-19554-9\_20",

language = "English",

isbn = "978-3-031-19553-2",

series = "Classroom Companion: Business",

publisher = "Springer Cham",

pages = "481--499",

editor = "Werner Liebregts and \{van den Heuvel\}, Willem-Jan and \{van den Born\}, Arjan",

booktitle = "Data science for entrepreneurship",

}

Data ethics and data science: An uneasy marriage? / Keymolen, Esther ; Taylor, Linnet.
Data science for entrepreneurship: Principles and methods for data engineering, analytics, entrepreneurship, and the society. ed. / Werner Liebregts; Willem-Jan van den Heuvel; Arjan van den Born. Springer Cham, 2023. p. 481-499 (Classroom Companion: Business).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

TY - CHAP

T1 - Data ethics and data science

T2 - An uneasy marriage?

AU - Keymolen, Esther

AU - Taylor, Linnet

PY - 2023/3

Y1 - 2023/3

U2 - 10.1007/978-3-031-19554-9_20

DO - 10.1007/978-3-031-19554-9_20

M3 - Chapter

SN - 978-3-031-19553-2

T3 - Classroom Companion: Business

SP - 481

EP - 499

BT - Data science for entrepreneurship

A2 - Liebregts, Werner

A2 - van den Heuvel, Willem-Jan

A2 - van den Born, Arjan

PB - Springer Cham

ER -

Data ethics and data science: An uneasy marriage?

Publication series

Access to Document

Projects

Regulating Socio-Technical Change

Cite this