Exposición “ Data Science for private and public good” de Ciro Cattuto, Scientific Director, ISI Foundation, en el marco del VI Summit País Digital 2018, realizado el 4 y 5 de septiembre en Santiago, Chile.

1. DATA FOR PRIVATE AND PUBLIC GOOD
CIRO CATTUTO, ISI FOUNDATION
DATA FOR PRIVATE AND PUBLIC GOOD
CIRO CATTUTO, ISI FOUNDATION

2. (big) data
decisions
models

3. digital traces
historical view
temporal horizon
limited reproducibility
limited context
data protection challenges
available as a side effect of many activities
machine processable, pattern discovery
high coverage, can work at scale

4. ‣ more behavioural proxies from digital platforms
‣ more sensor data & ambient instrumentation
‣ larger cohorts
‣ longer time spans, finer granularity
‣ more unstructured data (e.g., text, speech)
‣ more value generation after data is collected
TRENDS
BACKGROUND

7. MODELS
EXAMPLE: FORECASTING PANDEMICS
mobility
population
Balcan et al. PNAS 2009
commuting air travel

8. MODELS
EXAMPLE: FORECASTING PANDEMICS

9. MODELS
MODELS OF PEOPLE
“Digital Phenotype”
Computational
Social Science
+
+
Behavioral Economics,
Social Sciences,
Game Theory,
Marketing, …

10. Demographic
Data
Value
System
Belief
System
Fundamental
Worldview
Behaviours

11. MODELS
TRENDS
‣ more complex models informed by non-traditional data
‣ more machine learning and artificial intelligence
in the loop of digital products
‣ more accurate models of human behaviour
(e.g., risk models, product usage, capacity planning, etc.)
‣ dramatically increasing complexity of digital ecosystem
‣ reacting to the digital ecosystem becomes more
challenging — we are already seeing this with diffusion of
(mis) information

12. DATA SCIENCE
IT Infrastructure & Data Provisioning
Data-Driven
Knowledge Discovery
Data-Driven
Operational Excellence
Visual Analytics
Data
Mining
Machine
Learning
NLP
Math.
Modeling
DATA SCIENCE OPPORTUNITY: A SCIENTIFIC MINDSET

13. DATA SCIENCE
DATA SCIENCE
IS SCIENTIFIC THINKING
IN A BUSINESS CONTEXT

14. DATA SCIENCE
CHALLENGE:
ACCESS TO KNOWLEDGE
&
ACCESS TO TALENT

15. RESEARCH-INDUSTRY PARTNERSHIPS
EXAMPLE: RESEARCH CENTER + GLOBAL BANK
ISI FOUNDATION
ARTIFICIAL
INTELLIGENCE
LAB
INNOVATION
CENTER /
FINTECH LAB
INTESA SAN PAOLO
FOUNDATIONAL
DATA SCIENCE +
ISI Foundation
scientific network
bank’s global
partner network

16. RESEARCH-INDUSTRY PARTNERSHIPS
RESEARCH CENTER + GLOBAL BANK: OPERATIONS
Challenges
jointly defined
by Business
Owners &
Research
Leadership

17. RESEARCH-INDUSTRY PARTNERSHIPS
THE STAKEHOLDERS’ PERSPECTIVE
GAIN ACCESS
TO TOP-RANKED
DATA SCIENCE TALENT
DEVELOP
DATA SOLUTIONS TAILORED
TO NEEDS OF BUSINESS
OWNERS
FOSTER
SCIENTIFIC MINDSET
WITHIN THE COMPANY
CHALLENGE
ACADEMIC RESEARCH
WITH REAL BUSINESS
PROBLEMS
NEW FUNDING LINES
FOR BASIC RESEARCH
REDUCE TIME-TO-IMPACT
OF RESEARCH
ON REAL-WORLD PROBLEMS
RESEARCH CENTER INDUSTRY
added value

19. DATA SCIENCE FOR THE NON-PROFIT SECTOR
society
data
science
computational
social science
complex
systems
artificial
intelligence
data
visualization
statistics &
applied maths
development
future
of work
education
population
health
urban
planning
DATA SCIENCE FOR SOCIAL GOOD

20. DATA SCIENCE FOR THE NON-PROFIT SECTOR
DATA COLLABORATIVES
datacollaboratives.org

21. TEXT
Urban Mobility in Santiago
from a Gendered Perspective

22. DATA SCIENCE FOR THE NON-PROFIT SECTOR
CROSS-SECTOR PARTNERSHIPS
policy and process
research
researchdomain expertise
data provider data provider
data2x.org/big-data-gender-challenge
funding

23. DATA SCIENCE FOR THE NON-PROFIT SECTOR
A EUROPEAN HUB FOR DATA SCIENCE & PHILANTHROPY
ogrtorino.it

24. DATA FOR PRIVATE AND PUBLIC GOOD
THANK YOU