geospatial and earth observation data for the...
TRANSCRIPT
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Geospatial and Earth Observation Data for the SDGs
The 2030 Agenda for Sustainable Development
UN-GGIM Side Event – “Where’s the Data”
Aditya Agrawal Director, Data Ecosystems Development
August 2017
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The Global Sustainable Development Goals
MDGs
(2000-2015) SDGs
(2015-2030)
Developing country
focused Universal
Social Social, Economic, and
Environmental
Foreign Aid Domestic Investment,
Private Flows, and Aid
Official Statistics and
Administrative Data Big Data, Citizen Generated
Data, Geospatial and Earth
Observation Data, Open
Data, and more 2
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• 17 Goals, 169 Targets, 230 Indicators = Huge Data Needs 3
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THE CHALLENGES:
• Data on entire groups and key issues are unavailable.
• Data are not dynamic or disaggregated.
• Data quality is poor and major gaps remain.
• Data that exist are often not useable.
• Data that are useable are not accessible or open.
• Data that are accessible are often not used effectively.
Data are not available, dynamic, disaggregated, high
quality, useable, accessible, open, or used effectively.
DATA CHALLENGES LEAVE TOO MANY BEHIND 4
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DATA FOR WHAT?
To Achieve and Monitor
Sustainable Development
Improved Decision-Making and Policy
Increased Citizen Empowerment
Increased Innovation and Entrepreneurship
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Harnessing the Data Revolution “Data is the Oil of the 21st Century”
• Supporting and complementing government and civil society efforts to generate data for statistics for the formal SDG monitoring framework
• Unleashing innovation in
production, accessibility and use of real-time, dynamic, disaggregated data from multiple sources
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Earth Observation Data
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Citizen-Generated Data
http://staging.winguweb.org/2015/datashift/
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ex: Provide mobility
information every hour
for security staffing
ex: Provide real-time
personal health risk to
users in mobility
ex: Optimise hospital
location for density of
population
ex: Optimise distribution
of drugs in function of
diseases geography,
calendar events,…
« Real Time »
Operation
Management
Policies &
Consulting
Single Data
source
Multiple data
sources
Variety of Sources for Data Analysis
Custo
me
r T
ime
(V
elo
city)
SLOWER
Data refresh
(yearly, quarterly)
Faster: monthly…daily…
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Privately Held (Big) Data
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Open Data
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WE CONVENE
WE CONNECT
WE CATALYZE…
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better, more accessible, and usable data to help end poverty, fight inequality and injustice, and combat climate change.
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The Global Partnership has 200+ Data Champions
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Drive awareness and political
buy-in on how and why data
makes a difference
Ensure visibility and under-
standing of data for filling
gaps and decision making
Showcase how data can remove political and social barriers,
and address data gaps
Stimulate collaboration between public-private actors in support
and tracking of the SDGs
Forster private sector engagement to address market failures by providing
expertise and knowledge
Support the establishment of fair use of data
Foster mechanisms to improve access and interoperability that enables
widespread usage of SDG data
Harnessing the data revolution for sustainable
development
Demand Side
Enablers: Political Environment
Supply Side
Enablers: Structural Environment that fosters trust
Opportunities
Harness real time data flows
for sustainable development
Ensure access to data in
public domains; including
open data
Catalyse data innovations
for the delivery of the SDGs
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Data Roadmaps for Sustainable Development
Support countries at national and sub-national levels to develop and implement whole of government and multi-stakeholder data roadmaps for harnessing the data revolution for sustainable development, with particular emphasis on the SDGs and local priorities articulated in national plans.
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Data for Action
• Fill data gaps more efficiently, frequently and cost effectively
• Real-time, dynamic, disaggregated data
• Official and non-official data
• Use innovative approaches and range of stakeholder to solve problems 15
Geospatial Data
Privately Held Data
Open Data
Citizen Generated Data
Official Data for Planning
and Monitoring
More informed and data driven decision making
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Data Collaboratives: Environment, LNOB and Interoperability • ENVIRONMENT:
• Working with GEO, NASA, ESA and others on earth observation data applied to the SDGs
• Working with WRI, IODC and CODE on climate change open data • Working with World Bank on open energy data • SDGs applied at subnational level
• LEAVE NO ONE BEHIND • Data disaggregation • Gender data • Marginalized groups
• INTEROPERABILITY • Standards and principles • Data packages • APIs
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Source: DANE.
Assessment on Colombia’s information availability for global SDG indicators
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A
B
C
D
OBJETIVOS
M
E
T
A
S
Available Information: 54%
Partial Information, need of improvements: 30%
Not data or not methodology : 16%
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Colombia – Priorities for EO Data
• Sustainable cities and urban resilience
• Deforestation and forestry management
• Land use/cover change
• Water resources
• Biodiversity
18 M Paganini, European Space Agency
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Geospatial/EO Applied to SDG Problems
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Alex de Sherbinin, CIESIN Population estimate results at various resolutions from multiple methods
Frank Muller-Karger, University of S Florda Marine Biodiversity Observation Network
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Geospatial/EO Applied to SDG Problems
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Matt Hansen, University of Maryland Percent canopy cover and deforestation mapping
Brian Killough, CEOS/NASA Data Cubes – Water observations over a 17 year timeframe (Lake Chad, Cameroon)
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Data4SDGs Toolbox: Data for Action
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http://www.data4sdgs.org/toolbox
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apihighways.data4sdgs.org
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1. Reduce the time it takes to
discover and use data in an
application.
2. Make it as easy as
possible to connect existing
data.
Initial Metrics for success.
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