SocialCops presented at the UN Papua New Guinea's workshop on how Papua New Guinea can track its progress toward the UN Sustainable Development Goals and Vision 2050

1. Powered by:
Innovations around Data:
How can PNG benefit?
How to use data to track progress of PNG
towards SDGs and Vision 2050

2. 90% of the world’s data was
created in the last 2 years.

3. In the online world,
our digital trace
allows businesses to
target people
effectively, every day.
Can we bring the same
data analytics to ensure
those in the most need
get access to better
healthcare, sanitation
facilities & other
development schemes?

4. In the online world,
our digital trace
allows businesses to
target us effectively.
Can we bring the same
data-analytics to ensure
those in the most need
get access to better
healthcare, sanitation
facilities & other
development schemes?
Do we need a Census in 2021?
Can we create a real-time, updated,
360-degree citizen profile view?

5. How data is being
used across the
world?
1
Learnings from Africa in opening up their data

6. Africa is deciding to open out their data.
Most countries have created a data portal.

7. Tanzania
Using open data to understand focus in different sectors

8. Tanzania
Using maps to demonstrate assets and amenities

9. Ethiopia
Lets you see data across provinces, compare target areas, and check progress

10. Ethiopia
Using open data to understand focus in different sector…

11. Kenya
Putting data together for many more categories

12. Kenya
Promoting developer promotion, giving away awards

13. Kenya
Get data sets that are available and request data sets

14. Across countries
Countries have opened up their data to leverage cross-country analytics

15. Examples from
India2Case studies around how data was effectively
used in decision-making in India

16. Collecting data for
160,000 individuals
to track in real time.
C1
Using mobile-based technology to collect data
for 160,000 individuals to drive targeted
impact.

17. Not signed up for
employment scheme
Needs running water and electricity
Chandrapur’s diversity needs microplanning — unique, targeted
development plans for every individual, household, village, and block.
Needs electricity
Toilet not functional
Not included in
food distribution
No toilet

18. However, this wasn’t the only issue. There were
3 additional challenges
to deal with…

19. This type of micro-planning generally takes 6 to 9 months.
9 months
We had just 90 days for the entire initiative.90 days
1. Collecting data with 900 volunteers
2. Analyzing 80 development indicators
3. Creating 290 village profiles
4. Making a 40-point overall development plan
1

20. Some areas had poor infrastructure.2
People had to walk
kilometers to sync the
data collected each day.
Only 5% of
Chandrapur’s
population is computer
literate.
Much of Chandrapur
doesn’t have phone or
even internet
connectivity.

21. There were baseline data inconsistencies3
24 villages were
reported in two
different provinces
Volunteers reported
that certain existing
villages did not exist.
Certain villages were
discovered during
microplanning and not
in baseline data.

22. Our Solution:
Mobile-Based Data Collection
1 2 3 4
Survey app
creation
Questionnaire
creation
Surveyor
training and field
piloting
Data
collection
5 6 7
Data
analysis
Data
flagging
Data visualization
8
Data update by
Government
officers

23. No internet required
Even without internet and mobile penetration, data
collected offline is continuously saved to tablets’ local
storage, then synced to central servers when internet was
available.
Local language
Many surveyors only speak the state-specific language. The
entire Collect app — including action buttons and instructions
— can be converted to language by simply changing the
language setting.
Custom geotagging
Every household will be geotagged on a map using GPS, even
without internet. Every survey was collected at a specific location
to get the location details of school, anganwadi, health centre,
etc. across blocks
Photo Capture
Capture photo along with questionnaire for verification
purposes
Ensuring we get each and every data point

24. Using GIS analytics to identify clusters for development.Visualize

25. View detailed village profiles for granular decisions.Visualize

26. Tracking each village’s progress in real time.
*This view is private and restricted to the relevant government officers.
Visualize

27. Let users update the data to create a real-time
dashboard.Visualize

28. This project helped the district administration understand the
socioeconomic dynamics and development challenges of each
village by creating a robust village requirement sheet for each and
every village in Mul, Pomburna, and Jiwati.
Hon’ble Sudhir Mungantiwar
Minister of Finance, Planning, and Forest
Departments
Government of Maharashtra

29. Monitoring 89 ministries
serving 1.2 billion
people in one place.
C2
Using a web platform to help connect and
understand the Government of India’s work
across 89 national ministries

30. There was no central framework for
reviewing across ministries in India
No framework to look at indicators and measuring outcome
of the indicators.

31. There is no way the Prime Minister could
have known that 14 out of 25 activities are
completed by the Ministry of Civil Aviation
and 12 activities are ongoing for the
Ministry of Health.

32. The Solution:
Track all ministries using one
framework
1 2 3 4
Create a set of
indicators and
outcomes to measure
for each ministry in
consultation with the
ministries.
Give user rights to
ensure that the
users can input
data on the
platform every
quarter.
Let people
comment and
interact with the
data on the same
dashboard to
ensure proper
action and follow-
up.
Create a dashboard
that lets you track
the outcome points
and actions against
outcomes, for each
sector and
ministry.

36. One of the great mistakes is to judge policies and
programs by their intentions rather than their results.
- Milton Friedman

37. How can PNG use
data for tracking
its goals?
2
Thoughts around a system for PNG to track its
vision and Sustainable Development Goals

38. Central
PNG Database
Any New Data Set
Field Survey Data
Business Databases
Government Databases
One Data Platform for PNG
SDG Tracking Dashboard
One holistic dashboard to track
activities in PNG related to SDGs.
Organizations & Activities
Understanding different companies the
impact of their activities on SDGs.
Geography and Time Analysis
Understand how across geography and
time, activities have happened and
contributed to SDGs.
Related Modules
Additional modules of relevance to
organizations can be added
?

39. Governing Philosophy:
4-Dimensional Data System
SDG
Organizations
• United Nations
• Digicel Foundation
• Government of Madang
• Localized indicators embedded
within the framework of Goals
and Targets
• Geospatial comparison of
different provinces and wards
Activities
• Schools built
• Health camps
organised
• Malaria nets
distributed
MDTP
• Localized
indicators aligned
to MDTPs

40. Home Page SDGs
Disaster
Management
Open data
platform
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1. Residents 2. Economy
4. Education3. Health
Source: DHS, 2005
3.1 Life Expectancy (in years)
Source: UNFPA, 2016
1.1 Population totals by gender
65 years 63 years
2.1 GDP at current USD
4.1 Government expenditure on Education
Source: World Bank, 2014
USD 16.929
Billion (2014)
Source: NSO, 2014
Statistics at a
glance

41. Home Page SDGs
Disaster
Management
Open data
platform
Welcome to the SDG tracker for Papua New Guinea! All the indicators are aligned to the Medium
Development Term Plans and are a largely under the Vision 2050 umbrella.
You can access the UN SDG wheel here.
Goals Activities Organizations
Search
MDTPs

42. Home Page SDGs
Disaster
Management
Open data
platform
3. Health & wellbeing
This Goal is concerned with
Health related parameters
3.1 By 2030, reduce the global maternal mortality ratio to
less than 70 per 100,000 live births
3.2 By 2030, end preventable deaths of newborns and
children under 5 years of age, with all countries aiming
to reduce neonatal mortality to at least as low as 12 per
1,000 live births and under-5 mortality to at least as low
as 25 per 1,000 live births
3.3 By 2030, end the epidemics of AIDS, tuberculosis,
malaria and neglected tropical diseases and combat
hepatitis, water-borne diseases and other communicable
diseases
3.4 By 2030, reduce by one third premature mortality from
non communicable diseases through prevention and…
Ensuring healthy lives and promoting the well-being for all at all ages is essential to sustainable
development. Significant strides have been made in increasing life expectancy and reducing some of the
common killers associated with child and maternal mortality. Major progress has been made on
increasing access to clean water and sanitation, reducing malaria, tuberculosis… Read more here.
Targets
Inter-linkages
National
indicators
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Goals Activities Organizations
` ``
MDTPs

43. Home Page SDGs
Disaster
Management
Open data
platform
Time
Goal 3
167
0 50 100 150 200
3.1.1 Maternal Mortality Rate (MMR)
Source: DHS, 2016-17
3.1.1 Proportion of institutional deliveries
Source: DHS, 2016-17
0 20 40 60 80 100
Write-up on how MMR
is planned to control
Under
…
…
National benchmark = 100
Write-up on how
Institutional deliveries
are crucial to maternal
Health
……
Health
Baseline
Province District
National benchmark = 80%
Vision
2050
MDTP
2018-22
MDTP
2010-15
3.1 By 2030, reduce the global maternal mortality ratio to less than
70 per 100,000 live births
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Goals Activities Organizations MDTPs

44. Home Page SDGs
Disaster
Management
Open data
platform
Time
Goal 3
167
0 50 100 150 200
3.1.1 Maternal Mortality Rate (MMR)
Source: DHS, 2016-17
3.1.1 Proportion of institutional deliveries
Source: DHS, 2016-17
0 20 40 60 80 100
Write-up on how MMR
is planned to control
Under
…
…
Provincial benchmark = 70
Provincial benchmark = 90%
Write-up on how
Institutional deliveries
are crucial to maternal
Health
……
Health
Baseline
Madang District
115
Vision
2050
MDTP
2018-22
MDTP
2010-15
3.1 By 2030, reduce the global maternal mortality ratio to less than
70 per 100,000 live births
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Goals Activities Organizations MDTPs

45. Home Page SDGs
Disaster
Management
Open data
platform
Goal 3
Health
Summary 0
10
20
30
40
50
60
70
Time DistrictProvince
0
10
20
30
40
50
Urban
Rural
Total
3.1.2 Total beneficiaries by residence3.1.1 Total projects
20162015 2017
3.1.4 Active Organizations3.1.3 Total investment (in USD)
20162015 2017
PPP
Business
210,000
• Digicell (23 projects)
• Oil Search Foundation (11
projects)
+3 more
3.1 By 2030, reduce the global maternal mortality ratio to less than
70 per 100,000 live births
0
10
20
30
40
50
60
70
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Goals Activities Organizations MDTPs

46. Home Page SDGs
Disaster
Management
Open data
platform
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Goal 3
Health
Comparative
Time DistrictProvince
Provincial comparison
3.1 By 2030, reduce the global maternal mortality ratio to less than
70 per 100,000 live births
Total projects
Total
beneficiaries
Total funds
Sandaun:
8 projects
New
Ireland:
1 project
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Goals Activities Organizations

47. Home Page SDGs
Disaster
Management
Open data
platform
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Goal 3
Health
Organization
Partner
Hope IGAT
Foundation
Project
Signature program:
Health
2016
3.1 By 2030, reduce the global maternal mortality ratio to less than
70 per 100,000 live births
DistrictProvince
3.1.2 Infants with HIV positive mothers
tested negative
3.1.1 No. of institutional deliveries
3.1.4 Total project value
Source: Annual report Source: Annual report
Source: Annual report Source: Annual report
3.1.3 Outreach since program launch
4,000
mothers
100%
4,000
4,300
1,200 5,500
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Goals Activities Organizations MDTPs

48. Home Page SDGs
Disaster
Management
Open data
platform
Health
Demographic and Health Survey (DHS)
Demographic and Health Survey (DHS)
Demographic and Health Survey (DHS)
Source: University of PNG
Time: 2005-06, 2016-17
SearchSearch

49. Thank
You!
sales@socialcops.com
www.socialcops.com