DATA SCIENCE IN PRACTICE

Prof. dr. Arjan van den Born

• An overview of Data Science

• Data Scientist: a new breed

• 25 Inspiring Examples of Data Science

• Data Science for the Social Good

Content

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Why are we here?

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An overview of

Data Science

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Abacus: Since 3000 BC

1 byte = 8 bits1 kbyte = 1024 bytes1 megabyte = 1024 kbytes1 gigabyte = 1024 megabyte1 terabyte = 1024 gigabyte1 pentabyte = 1024 terabyte1 exabyte = 1024 pentabyte1 zettabyte = 1024 exabyte1 yottabyte = 1024 zettabyte1 brontobyte = 1024 yottabyte1 geopbyte = 1024 brontobyte

11000100000010000000001000000000000100000000000000010000000000000000001000000000000000000000100000000000000000000000010000000000000000000000000001000000000000000000000000000000

Web traffic: in 2013: 1 exabyte/day (in 2012: 1 exabyte/year), source Cisco

Data storage worldwide in 2020: 40 zettabytes, source IDC

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MORE AND MORE AND MORE DATA

• People produce 400 million tweets daily• … and send 3.2 billion likes daily• They also upload 300 million pictures daily• Google Voice processes 10 years of spoken text daily• The UK has 2 million surveillance cameras • Facebook has 1 billion users• 800 million users watch 4 billion movies daily• Medical data doubles every five years• In 2020 there will be 24 billion internet connected devices

Source: NRC 08.02.2013; Gartner 2014

The production of data is staggering

The Always-On Society connects

Providing

connected

Apps

Philips Value Platform Extracting

meaningful

information

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Connected Solutions

Enhancing the user

experience

Sensing and monitoring

data

Connected devices

1. Everyday life (shopping, music, pictures, talking on the phone) is

digital and has a data trail

2. Unstructured data such as photos, tweets, emails, voice recordings and

sensor data can be analyzed

3. Legacy data becomes digital fast

Big Data: Shaping the future…

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Customer mapping

Analyses customer behavior and

maps needs on potential

business propositions.

Smart maintenance

Monitors performance remotely

and enables long-distance

control and maintenance.

Body monitoring

Monitors non-intrusively

biomarkers and body functions and feeds information.

Data security & privacy

Investigates security and privacy

issues related to the trade and

use of data in a global setting.

City management

Enables adaptive outdoor

lighting and supports urban

service management and

commissioning.

Home control

Monitors the habitation of

buildings and/or homes and provides feedback on the use of resources.

Data will open new productivity venues

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Big Data = Big Promise & Big Challenge

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http://bigdata.fairness.io/wp-content/uploads/2014/11/Civil_Rights_Big_Data_and_Our_Algorithmic -Future_v1.1.pdf

Big Data = Big Risk

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Hacking

Skills

Machine

Learning

Danger

zone!

Traditional

Research

Data

Science

http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

The Good & The Bad

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Experiments, observations, and numerical simulations in many areas of

science and business are currently generating terabytes of data, and in

some cases are on the verge of generating petabytes and beyond.

Analyses of the information contained in these data sets have already led

to major breakthroughs in fields ranging from genomics to astronomy and

high-energy physics and to the development of new information-based

industries.

- Frontiers in Massive Data Analysis, National Research Council of the National Academies

Given a large mass of data, we can by judicious selection construct

perfectly plausible unassailable theories—all of which, some of

which, or none of which may be right. - Paul Arnold Srere

TH

E G

OO

DT

HE

BA

D

Data Scientist: a new

breed

• Too much data, too few analysts: in 2015 there is a

need of 4.4 million analysts worldwide; only 33% can

be met - Gartner, 2012

• The “data scientist.” It’s a high-ranking professional with the training and curiosity to make discoveries in

the world of big data - D.J. Patil and Jeff

Hammerbacher, 2008

• “Data Governance is bound to become the trend” -Bob Nieme, 2012

• Simply hiring expensive data scientists isn’t enough;

to create real business value with data scientists, top

management must learn how to manage them effectively – Sloan Management Review, fall 2014

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The “market” for Data Science professionals

Public Private

Large scale

Small and medium scale

MelissaOn-line Data

Business Strategist

RonWeb-data

Entrepreneur

DeboraConsultant

Data Concessions

JeremyData Regulatory

Officer

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Data science will create new professions

Schooling the data scientist

• The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades, not only at the professional level but even at the educational level for elementary school kids, for high school kids, for college kids. Because now we really do have essentially free and ubiquitous data. So the complimentary scarce factor is the ability to understand that data and extract value from it.

Hal Varian, Google's Chief Economist, http://www.mckinsey.com/insights/innovation/hal_varian_on_how_the_web_challenges_managers

25 Inspiring Examples:

An Application View

Core Research (Computer Science, Data Modelling, Statistics, Math, Research Methods, Philosophy, Ethics, Legal)

Application domains

1. Health

2. IoT/ Smart Meters

3. Cognitive Science

4. Consumer Journey

5. Business / Org Analytics

6. Other

Our research is fundamental & applied

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Inspiring Examples:

HEALTH

Health

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Big data and gene-environment interactions

Setting up Big Registries to find new answers to complex

questions

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GENOME ANALYTICS MADE SIMPLER

Understanding the Brain & Cognitive Performance

The biological passport as the way to find cheaters

Your I-phone has become a biomedical research device

Inspiring Examples:

SMART (IOT)

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SMART MAINTENANCE USING PREDICTIVE ANALYTICS (e.g. GE, BMW & DAF)

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Air Shephard: Drones and data to fight the battle against poachers

PREDICTING DEFORESTATION

Weathersignal (app) taps into barometer, hygrometer,

thermometer and lightmeter(all on any phone)

FROM SEED PRODUCER TO BIG DATA COMPANY

Smart Traffic: No more Traffic Jams

Smart Manufacturing: Millions of data readings per machine per minute

Inspiring Examples:

Cognitive Science

Jan Brueghel and Peter Paul Rubens (1615).

The garden of Eden with the fall of man.

The Hague, Royal Picture Gallery Mauritshuis

Detecting Confusion of the Elderly

Game Mining: Understanding People and

Improving Games

Inspiring Examples:

Consumer Journey

Does Spotify Increase Variety?

Design Targeted Marketing Actions

Pricing for advertising space on billboards, benches and busses based

on actual # views

Inspiring Examples:

Organization/Business

Analytics

Anomaly Detection: Breast Cancer Detection in

Mammograms.

HR Analytics: Overhaulin’ HR

Inspiring Examples:

Other

How do competition law, consumer law, economic and

privacy law conflict and/or interact?

How does big data affect competitive

processes?

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Data Science for the

Social Good

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Questions & suggestions

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