How is the World Bank harnessing Big Data for development?

Transcripción

How is the World Bank harnessing Big Data for development?
How is the World Bank harnessing Big Data for development?
Isabelle Huynh
Sr Operations Officer – World Bank
How is the World Bank harnessing Big
Data for development?
Isabelle Huynh
Sr Operations Officer
[email protected]
Un nuevo mondo digital
By
2020
, there will be 50
billion connected devices
(according to Cisco)
3 pisos, 3 regiones
The Middle East: how can we help urban mobility and climate
change with Big Data in Cairo, Egypt?
West Africa: how can Big Data help contain the Ebola epidemics
that has struck Guinea, Liberia, and Sierra Leone?
Latin America: how Big Data can predict the impact on crime of
infrastructure evolution in Bogota, Colombia?
¿Cómo empezó todo
Cairo:
Could AllAboard
be replicated in
Cairo with data
from Vodafone,
to help the City
of Cairo
improve traffic
congestion and
lower pollution?
West Africa:
Could big data help
predict the virus
spread, and
therefore help
inform the
containment
strategy?
Bogota:
Could big data
from the transport
system tell a story
about variation of
crime with urban
infrastructure
modifications?
Proyectos anteriores que
inspiraron a nuestros equipos
Cairo: inspired by the Data for
Development (D4D) Challenge
run by Orange in Côte d’Ivoire
West Africa: inspired by
Telefonica Research work on
the 2009 H1N1 outbreak in
Mexico City
Bogota : inspired by work done in Chicago, London, etc.
Diferentes líneas de tiempo
Cairo
December 2013
March 2014
West Africa
March 2014
Present
Bogota
September 2014
June 2015
Los protagonistas
Cairo:
Vodafone
IBM Research
Ministry of
Transportation
City of Cairo
German
University in
Cairo
The World Bank
West Africa:
The international
community (WHO,
WEF, OCHA,
ECOWAS, Global
Pulse, CDC, DPKO,
Gates Foundation,
etc.)
NGOs (Flowminder,
etc.)
GSMA
The World Bank
Bogota:
Transmilenio BRT
of Bogota
DANE
University of
Chicago
The World Bank
Las estrellas se alinearon en El Cairo
– Vodafone, a preeminent Mobile Network Operator (MNO)
Egypt, was keen to release Call Data Records (CDRs)
– IBM Research, building on the algorithm developed last
year in Abidjan, Côte d’Ivoire, was keen to test its model
with Egyptian data
– The Ministry of Transportation was preparing a new
transport masterplan for the Great Cairo region, and
understood that it could greatly benefit from the
information derived from these big data analytics
Pero la cita se perdió
• However another part of the Government was less
keen to innovate: the Ministry of ICT, the National
Telecom Authority, and possibly the Ministry of
Interior
• In substance Vodafone’s CDRs could be analyzed but…
– on the Egyptian territory only
– by “Egyptian brains” only
• IBM Research walked away
Hemos perdido la batalla en África
de occidente…
• After 6 months of great
promises
• In spite of MNOs willing to help
• CDRs have not helped
• Perceived risks on privacy
Source: Flowminder
…pero no la guerra
• Post-crisis analysis will run historical CDRs to help
understand the epidemics and people’s behavior
change.
• Internationally recognized data protection standards
can be used to insure anonymization of the data.
• Let’s start with a few MNOs: Telefonica, Orange,
Vodafone, Telecom Italia
La investigación innovadora en
Bogotá…
• Can we quantify the relationship between
crime and infrastructure?
• Can we predict crime as infrastructure evolves
over time?
• Data: (i) land use (DANE), (ii) geocoded crime
data (police), (iii) population data, and (iv) BRT
data
…y mas por venir
• Is public transport mobility data
associated with neighborhoods
crimes? How?
• How can this information
complement network mobility
data?
• To find out, Telefonica will provide
aggregated and anonymized
mobility data CDRs
En resumen
Cairo:
Source of data:
CDRs
Topics: Urban
transportation
Urban planning
Pollution
Public health
West Africa:
Source of data: CDRs
Topics: Epidemics
Public health
Poverty
Bogota:
Source of data:
BRT
Land
CDRs
Topics: crime,
infrastructure and
BRT
Primeras lecciones sobre CDR
What has blocked our efforts to effectively access CDRs?
• Limited awareness of decision makers
• MNOs uncertain of the monetization potential of
CDRs
• Privacy and protection of citizens
• Political economy
• Cost
Luego perseverar
How good are CDR-derived measures of income and inequality,
and can governments systematically use them?
Colombia
Forecasting poverty and shared prosperity using CDRs
Guatemala
CDRs analytics for freight transport and logistics policy making
Brazil
Traffic monitoring via GPS-equipped taxi
Mexico
Callejón sin salida?
Even if we manage to have access to CDRs, what can they really
do to inform public policy in near real time?
• Research is good and needed: statistics, open government
data and big data analytics
• But this is not suited to informing project implementation
or crisis management in real or near real time
What about other private sector generated big data (financial
transactions for instance): can we open them?
“The New Deal on Data"
o
o
o
o
o
o
MIT Media Lab
WEF
Unicef Innovation Team
USAID
DataPop Alliance
Data Revolution for Sustainable Development:
1.
2.
3.
4.
Principals and standards
Technology, innovation and analysis
Capacity and resources
Governance and leadership
Construirlo en sus países también
Fostering entrepreneurship
Global data literacy
Innovation ecosystem
Twinning universities
Investing in high performance computing
Targeting youth and women
Bringing together public and private forces
Technology transfer
Un nuevo horizonte
Muchas Gracias
Diciembre 05 de 2014
Isabelle Huynh
[email protected]

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