DSC/e
Data Science Center Eindhoven
Turning Data into Value
Wil van der Aalst
Scientific Director DSC/e
DSC/e in a Nutshell
The Data Scientist:
Engineering Profession of the Future
(growth of data will not stop)
Ambition:
Become a globally leading
data science center focusing
on the transfer of data into
economic/societal value.
DSC/e will:
• educate data scientists at all
levels (BSc, MSc, PhD),
• address research challenges
related to data science,
• work together closely with
industry,
• increase TU/e's visibility as a
leader in data science.
Unique selling points:
• top researchers in key
areas,
• unique positioning in terms
focus and capabilities,
• well-connected to industry
and scientific networks,
• Brainport (Smartest Region
of the World).
the new oil
Clive Humby
(dunnhumby)
2006
http://www.multivu.com/assets/58095/photos/Data-is-the-new-oil-infographic-Nigel-Holmes-2012-from-The-Human-Face-of-Big-Data-original.jpg
We are creating data all the time!
Proximity sensor
Gyroscopic sensor
Magnetometer
GPS
Camera (back)
WIFI
Bluetooth
Accelerometer
14+ sensors
Microphone
Camera (front)
Touchscreen
GSM/HSDPA/LTE
Ambient light sensor
Finger-print scanner
Motivation: Internet of Things
PAGE 6
"Always On": Anything, Anytime, Anywhere
•
•
•
•
•
•
exploration (locating the data),
extraction (how to get it),
transform (clean and filter data)
storage (Big Data)
transport (getting it to the right person)
usage (analysis, actions, etc.)
• data can be copied, oil not
• data is specific, oil is not
• if small, data storage and transport are cheap
fancy analytics tools without suitable data are like sports-cars without petrol
Moore's Law: 220 = 1.048.576x in 40 years
processor speed
size hard disk
network capacity
pixels on screen
1/costs of storage
train Eindhoven-Amsterdam in 5 ms
flight Amsterdam-New York in 24 ms
drive around the world on 3.8 ml petrol
so we can produce
amazingly Big
amounts of data oil
but …
Big Data ?
PAGE 15
www.solarteameindhoven.nl
Winner Cruiser Class of the
World Solar Challenge 2013
Big … or fast and efficient?
DSC/e's Motto
Turning Data into Value
What
happened?
Why did
it happen?
What will
happen?
What is the
best that
can happen?
Data Science
aims to
answer such
questions
a new profession
http://www.delphianalytics.net/more-data-than-analysts-the-real-big-data-problem/
What is a Data Scientist?
http://www.edureka.in/blog/who-is-a-data-scientist/
http://enterprisetechnologyconsultant.wordpress.com/2013/01/21/the-profile-of-a-data-scientist/
More than MapReduce
and Mining
An emerging discipline on the crossroads
of multiple existing disciplines
Growing Demand for Data Scientists
UK
Google Searches
data science
big data
survival of the fittest
why TU/e?
1957
•
•
•
•
•
•
•
•
shortest path
ALGOL 60
time-shared operating system
semaphores
dining philosophers problem
no GOTO's
weakest liberal precondition
…
Turing Award, 1972
1981
2013
A new discipline …
1957
mathematics
A new discipline …
1981
mathematics
comput
er scien
ce
A new discipline …
mathematics
comput
er scien
ce
data
scie
nce
CS: 42th globally 5th EU
10x best TU
Societal Challenges: TU/e's Strategic Areas
Example Question in health domain
Relevant organizations (small selection)
End users
Consultancy
Software vendors
Data science experts
+ any 50+ organization
organization
Overview DSC/e
Founding Fathers DSC/e
Wil van der Aalst
vdaalst.com
Johan van Leeuwaarden
www.win.tue.nl/~jleeuwaa/
Ton Koonen
www.tue.nl/en/employee/ep/e/d/ep-uid/19730264/
Matthias Rauterberg
www.idemployee.id.tue.nl/g.w.m.rauterberg/
Emile Aarts
[email protected]
Jack van Wijk
www.win.tue.nl/~vanwijk/
Wijnand IJsselsteijn
www.ijsselsteijn.nl
Fred Langerak
http://home.ieis.tue.nl/flangera/
20 chairs/groups involved
Department of
Mathematics and
Computer Science
Department of
Industrial Engineering
& Innovation Sciences
Department of
Electrical
Engineering
Department of
Industrial
Design
Main focal points of DSC/e
• Teaching: Creating excellent Data
Science education at all levels
• Research: Addressing the main Data
Science challenges of our time
• Valorization: Transferring results and
being inspired by reality/society
• Ambition: Larger projects involving TU/e,
industry, NWO, STW, Horizon 2020, etc.
• Visibility: Data Science? Come to TU/e!
ingredients
hardware - software - people
disclaimer: just some examples, not aimed at completeness
handling the new oil
Data science requires
Required system
bandwidth, it
increases a Smart
factorPhone
of
1000 every tenVideo
years
CallWeb Albums
(Amdahl’s law)
Bandwidth gap can
speedonly
and
be energy
addressed by
concurrency: more
processors. Most of
the energy is lost on
communication.
YouTub
Energy consumption
e
On
using copper for Video
communication Demand
Processing speed
following
Moore's
Using
photons
instead
law
(starts to slow
of electrons
for data
down)
transmission
How much time is needed to get new oil?
Amsterdam
(120 km)
next building
(36 m)
on table
(90 cm)
New York
(6000 km)
www.intel.com
In-Memory Computing, e.g., SAP HANA
http://hblok.net/blog/storage/
models and
analysis
techniques
What has happened?
Why did it happen?
What will happen?
What should happen?
Models should be:
- descriptive,
- predictive, and/or
- prescriptive
Are they ?
Engineers and scientists love models …
olie-fantenpaadjes
We cannot ignore the facts surrounding us …
PAGE 62
PAGE 63
Data/Process Mining
Example: Process Discovery
627 gynecological oncology patients, 24331 events
PAGE 65
Models as maps
Visual analytics
interaction between analyst and data
human is able to find unknown unknowns
Anscombe's Quartet
(Francis Anscombe 1973)
4 data sets of
11 elements
mean x = 9
var. x = 11
mean y = 7.5
var. y = 4.12
corr. = 0.816
same lin. regr.
SequoiaView: What's on your harddisk?
Visualizing trees inspired by nature
Visualizing networks
Psychology 2.0
Data science as a tool for psychological research
Value of data
http://www.business2community.com/twitter/twitt
er-valued-investors-marketers-part-1-3-0677429
Nov 11, 2013
May 21, 2012
www.twalue.com
http://www.technologyreview.com/gr
aphiti/427964/is-facebook-worth-it/
If you are not paying for it,
then you are the product!
New Business Models
If a certain number of
people sign up for the
offer, then the deal
becomes available to all.
Service exchange
that uses units of time
as currency.
Crowdsourcing: members
can submit ideas and help
to determine which
products Quirky will design,
manufacture, and sell.
People connect with others
who have the same disease or
condition and share their own
experiences. The generated
data is used by professionals.
With great power comes
great responsibility!
TARGET
conclusion
Data is the new oil
Internet of Events
What's new?
Evolution or Revolution?
"We tend to overestimate the
effect of a technology in the short
run and underestimate the effect
in the long run" (Roy Amara)
Organizations not using data smartly will not survive
new opportunities
Data scientist is the engineer of the future!
DSC/e
Let's start!