Exclusion Mapping – Use Case
Save the Children (SC) is the world’s leading independent organization for children. They work in more than 120 countries, saving children’s lives; fight for their rights; help them fulfill their potential.
They work to inspire breakthroughs in the way the world treats children and to achieve immediate and lasting change in their lives. Across all of their work, they pursue several core values: accountability, ambition, collaboration, creativity and integrity.
In 2013 they reached over 143 million children through their work, including over 52 million children directly. SC Tanzania works on five thematic areas: Child Protection, Health, Nutrition, Child Rights Governance and Education.
The current global campaign “Every Last Child” is aiming at ensuring all children survive, learn and be protected.
To support the global campaign and also wider demands for a ‘Data revolution; more better and disaggregated data, SC through its breakthrough project of “Children’s exclusion mapping” want to demonstrate how existing data can be used to map exclusion in a country. The project aims at using existing national data to develop a diagnostic toolkit to identify children who are excluded and the key drivers behind their exclusion. The project also focuses on reaching out girls who are married or pregnant below the age of 18.
SC has successfully implemented a pilot project on exclusion mapping. Their future plan is to implement the project across the country using regional exclusion mapping.
How the problem came about?
Actors across the development sector have become aware that despite of the impressive progress achieved by the Millennium Development Goals there are certain groups of children who have been left behind and without addressing their barriers they are likely to be be forgotten again in the implementation of the SDG’s. Despite of that concern, the knowledge of who are exactly those children and nature of their exclusion remains a blind spot that needs to be intervened.
In Tanzania children exclusion has been manifested in a number of ways, and exclusion based on gender is the most prevalent form of discrimination. It has been found that Tanzania has one of the highest child marriage rates in the world. The overall trend is shown to be declining; however prevalence rate of teenage pregnancies is highly increasing at alarming rate (27% as per the latest TDHS).
Most organizations tackle problems based on only a single indicator; this leads to a poor arrangement for intervention and resources allocation. While by merging multiple indicators can lead to a proper selection of the most affected area/region.
By combining multiple indicators it was noticed that Shinyanga is the highly affected region compared to others. dLab has helped SC in implementing data analysis and visualization of merged indicators mapped to the regions. Data visualization is accessible through the URL ( https://public.tableau.com/profile/data.science2372#!/)
Why this is needed?
This is needed for developing evidence based advocacy that will help in evaluation of policies and programs that are aimed at children inclusion as well as eradication of early marriagesand teenage pregnancies.
The toolkit will be used for ranking regions based on multiple indicators performance. Data is needed by regions administrations to guide citizens on the focus areas to solve the problem. The government can use the same information for regions performance competition on a specific problem, especially the children exclusion.
What is happening?
Currently there is no platform for merging multiple indicators. SC has piloted thediagnostic toolkitwhich merges multiple indicators and are looking forward to demonstrate to key stakeholders in the country.
Why this is important?
This activity is important as it will change the mind set of making evidence based decision and conclusion on basis of only a single indicator. It will lead to mitigation of current problems of resource misallocation and improper interventions.
WHAT PROBLEM ARE YOU TRYING TO SOLVE?
SC is trying to solve the problem of children exclusion by exposing drivers of children’s exclusion to the policy makers and children inclusion programs executors. This will give clear evidence of who is excluded, with what, where, when and why?
Who is affected by it?
This problem affects Tanzanian children of age between 0-17 years.
What data are you using / have you used to solve it?
SC is using the following data to solve the problem / drive the output:-
- Primary data source
These are administrative data; routine statistics generated by ministries; HMIS,EMIS and BEST; Finance and National budgets
- Secondary data source
- Child indicators database
What is the outcome you are aiming for?
Design advocacy campaign messages that will help to address issue of children’s exclusion as well as influencing government to amend laws affecting children
How would life be better if you solved the problem?
Most of children in Tanzania will not be excluded to the necessary basic needs.
PROVIDE INFORMATION ON THE SOLUTION, WHICH CAN ALSO BE DESCRIBED AS THE OUTPUT.
First phase of the project compiled relevant indicators and data from various sources. Piloted the various approach for identifying excluded children and reason behind their exclusion. Through the use of existing data and participatory methods, they identified various groups of excluded children.
Dashboard has been developed to monitor the trend.
They conducted workshops and trainings to demonstrate how data can be used to map children’s exclusion.
Findings of the research has been used to design advocacy campaign messages on ending child marriage.
PROVIDE INFORMATION ON THE PROCESS OF MAKING THIS HAPPEN—CHALLENGES ENCOUNTERED, LESSONS LEARNED, BEST PRACTICES ETC.
To achieve the output, SCused available administrative and national disaggregated data to map exclusion. Through quantitative element of the research, they obtained a comprehensive data of children’s indicators including prevalence of child marriages, adolescent child bearing rate and dropout rate.
Human right based approach was considered while analyzing existing national data to identify which children have been left behind. Main attention was on the guided principal of the convention on the rights of a child (CRC); all children rights should be non-discriminatory irrespective of the child’s parents or legal guardians’ race, color, language, region, ethic or other status.
- There are few or limited disaggregated data at district and village level
- There are limited data for children of age group 6 – 14
- Difficulty to get updated / current data
OUTCOMES & IMPACTS
PROVIDE INFORMATION ON INTENDED OUTCOMES AND IMPACTS
Increase awareness and understanding of the extent and drivers of exclusion globally.
Have toolkit that will demonstrate how data can be used to map children’s exclusion.
Improve the use of existing data
End child marriage
PARAGRAPH ON HOW THE KEY COLLABORATOR WILL BE IMPLEMENTING THIS PROJECT AND HOW IT FITS WITH THE OVERALL DCLI ECOSYSTEM
Key collaborators for this project are SC, dLab and NBS. The collaborator’s responsibilities and benefits are listed below:-
- SC: Is the main project implementer; They successfully piloted the project.
- dLab: Capacity building in data analysis; data cleaning; merging and visualization
- NBS; data provision as well as approach and methodology approval.
dLab: A national data hub to promote data innovations, literacy, data use and multi-stakeholder data collaborations.
NBS:The National Bureau of Statistics (NBS) an autonomous public office with mandate to provide official statistics to the Government, business community and the public at large. TheStatistics Act, 2015 gives NBS the mandate to play the role as a co-coordinating agency, within the National Statistical System (NSS) to ensure that quality official statistics is produced.
Save the Children
- O. Box 10414, Plot 257, Kiko Avenue,
Mikocheni A, MwaiKibaki Road,
Dar Es Salaam;
Tel: +255 22 27 01 725; Fax: +255 22 27 01 726;