A presentation to a mixed audience of academic, government, and industry leaders.

1. Why Data Science will change everything
Michel Dumontier
Distinguished Professor of Data Science
Maastricht University

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6. From selling books
@micheldumontier

7. To web services
@micheldumontier

8. To buying groceries for delivery
and now, back in person
@micheldumontier

9. Twitter: #UMSTAR18
Amazon acquires Whole Foods in 2017 for $13B in cash

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15. How do they do it?
@micheldumontier

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delicious
big data
ML/DL
Cupcake - 83% certainty
€ 1.99 at the checkout
Machine Learning:
pattern analysis, classification
Artificial Intelligence:
An autonomous system
that is capable of learning
to make optimal decisions
towards achieving a set of
objectives.

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20. AI Generated Pictures
@micheldumontier
https://deepdreamgenerator.com
TEFAF?

21. AI Generated Music
@micheldumontier
Performance RNN
https://magenta.tensorflow.org/performance-rnn

22. AI Generated video
@micheldumontier

23. Exciting!
@micheldumontier

24. Should we be concerned?
@micheldumontier

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Identity theft potentially impacting approximately 145.5 million
U.S. consumers and from 400,000 - 44 million British residents.

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29. What about Education?
@micheldumontier

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33. Data science enables us to make sense of the
massive amounts of data.
It will affect every aspect of human activity.
It offers unparalleled economic potential.
We must embrace it and be prepared!

34. Institute of Data Science @UM
•Our mission is to foster a collaborative
environment for multi-disciplinary data science
research, interdisciplinary training, and data-
driven 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.

35. @micheldumontier

37. Analyzing partitioned FAIR health data responsibly
Identify social and economic determinants of type 2 diabetes
Maastricht Study + MUMC CBS
TTP
Key Outcomes:
• Use data science to reveal determinants of type 2 diabetes using new
datasets, a framework that could be extended to other types of studies
• Develop new approaches to facilitate discovery science using data that is
locked away in and across a health and non-health setting
• Establish a broader and scalable governance structure and consent define
and underpin the responsible use of Big Data in Health

38. AI will revolutionize
modern medicine
@micheldumontier

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

40. A collaborative center for data science to further enhance our
regional, national and international networks
SBE
Law
IDS
FHS
FHML
FASOS
FPN
DKE
BISS
MaCSBio
Imaging
Valley
Bright
lands
MUMC+
UM
Library
Bioinfor
matics
Maastro
Your
Center
Here
Ghent
Leuven
Eind
hoven
Leiden
Amster
dam
Maas-
tricht
Limburg
Hasselt
Utrecht
Your
region
here
Bonn
Your
region
here
Maas
tricht
Study
CBS /
CBDS
United
States
Canada
United
Kingdom
Japan
China
Australia
Nether
lands
Belgium
GermanyFrance

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42. Two radical proposals
to bring innovation to the work we do
Put data science to work.
Can we inspire and
empower people to be
part of a team to better
understand and apply
data science in their
workplace?
AI is data hungry.
Can we work (and get paid)
to provide the data needed
for machines to learn a
task? Can we create a
culture of flexibility in the
work we do?
@micheldumontier
The Digital Professional
How will the benefits of increased productivity be
shared amongst the stakeholders?
The AI Economy

43. Data Science