I discuss how data science is affecting our way of life and how we at Maastricht University are preparing the next generation of leaders to address opportunities and challenges in responsible manner.

1. THE FUTURE OF SCIENCE AND BUSINESS
MICHEL DUMONTIER
1 February 2018
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Amazon acquires Whole Foods for $13B in cash and …

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15. How do they do it?

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22. Data Science
For Medicine

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24. The Learning Healthcare System
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26. So what’s not to like?
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29. Future of Education?
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34. Rapid Adoption of Principles
As of May 2017,
200+ citations since
2016 publication
Included in G20
communique, EOSC,
H2020, NIH, and more…
nature.com/articles/sdata201618

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36. Data science enables us to make sense of the
massive amounts of data being produced
each and every day. It offers unparalleled
economic potential. It will affect every
aspect of human activity.
It does not respect disciplinary boundaries.
We must embrace this development and
prepare ourselves and the world to capitalize
on this emerging technology.

37. We need to develop a social and technological
infrastructure to enable responsible data science
1. Technology
Data science methods to discover and validate (new)
knowledge about the world.
Shared infrastructure to share and analyze data in a
reproducible manner.
2. Community
To work together to tackle the hardest problems that
we face as a society, and to make sure we do so in a
responsible manner.
@micheldumontier::SG:2017-11-1437

38. Mission
•The mission of the Institute of Data Science at
Maastricht University is to foster a collaborative
environment for multi-disciplinary data science
research, interdisciplinary training, and youth
innovation .
•We will tackle key scientific, technical, social,
legal, ethical issues that advance our
understanding and strengthen our communities
in the face of these developments.
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39. Scientific Directions
1. Accelerating scientific discovery through powerful AI
platforms coupled with FAIR data and services to
systematically unlock knowledge about the world we
live in.
2. Improving clinical care and well-being by developing
intelligent systems to bring the science of medicine
back into the practice of medicine.
3. Empowering communities to use data science to
characterize a problem, develop solutions, and to work
with community leaders to change policy and improve
the quality of life for themselves and their neighbours.

40. Team Science
Digital
Infrastructure
Data Science
Methods
Innovation
Ethical, Legal,
Social, Political
Valorization +
Sustainability
Problem Experts

41. UM-CB(D)S Flagship project
Goal: Investigate the environmental
and individual determinants of health
Science: Complications, morbidity,
hospitalization, mortality of type 2
diabetes
ELSI: Governance, Consent
Technology: approaches to learn using
distributed data in a secure and
privacy-preserving manner
Now funded as part of the Dutch
National Science Agenda
Data elements UM / MUMC+ /
MAASTRO
+
Data elements CBS

42. IDS @ UM
A collaborative center for
data science that will
further develop our
regional, national and
international networks
…
Maastro
KE
DKE
FASOS
Maastricht
Study
SBE
Bioinform
atics
M4I
Econom
etrics
MERLNLeuven
Bonn
Leiden
Maastricht
Gent
Toxico-
genomics
VU
Amster
dam
IDS
Eindhoven
Utrecht
SBE
Dussel
dorf
UM
Library
BISS
MaCSBio

43. The future of science and business
• The most successful businesses are focused on
computing and data
• The reuse of other people’s data is driving
new scientific discoveries
• Data science requires technical virtuosity to be
coupled with expertise in social, legal, and
ethical issues to be effective and trustworthy.
• Maastricht University and the Institute of Data
Science is building an innovation network to
lead in the data-driven society.

44. michel.dumontier@maastrichtuniversity.nl
Website: http://www.maastrichtuniversity.nl/ids
The mission of Institute of Data Science aims
to accelerate scientific discovery, improve
health and wellbeing, and empower
communities by fostering a collaborative
environment for multidisciplinary team
science, interdisciplinary training, and youth
innovation using effective computation on
FAIR digital resources.
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