Building an integrated data platform for early child development in Malawi

Lead Research Organisation: University of Nottingham
Department Name: Sch of Psychology

Abstract

Like many low-income countries in Sub-Saharan Africa, Malawi is burdened with high rates of maternal, infant and childhood mortality and undernutrition. These are driven by multiple factors that interact over space and time. Coupled with economic and gender inequalities, factors that operate across early childhood (0-8 years) result in many children failing to achieve their educational potential. At a national level this impedes economic development and perpetuates a cycle of poverty.
A holistic, unified, approach to data acquisition of key factors impacting early child development, data sharing and linkage to existing datasets, statistical analyses and mathematical modelling, is required to identify which children are at greatest need of intervention. We aim to achieve this by building a new data platform for early child development in Malawi by harmonising geo-temporal data that already exists, courtesy of national surveys conducted by the Government of Malawi, with data from ongoing projects undertaken by our team of researchers and NGO partners, relating to early educational outcomes, maternal and infant health, and micronutrients in soil and crop samples taken from plots where food is grown for consumption in family homes. Integrating these datasets into a large-scale national data platform will enable secondary analyses to be conducted, that have hitherto, not been possible.
This will transform early child development and learning outcomes in Malawi, and requires collaboration and cooperation of key stakeholders to bring about long-term, sustainable, change. Current policy for mothers and children in Malawi is covered by three separate government ministries. A lack of joined up planning, acquisition, and sharing of key data means that opportunities to intervene at an early stage may be lost. Currently, it is not possible to track individual children from pregnancy to 8 years and identify those most at risk of adverse outcomes. This leaves Malawi vulnerable to continued poor early child development and the long-term negative impact this has on the country's economic development and welfare.
Over the past year, we have established a multidisciplinary team of international researchers from psychology, biosciences, maternal, child, and public health, big data science, and international law on data protection and governance, with NGOs, policy-makers, and policy-enablers from key government sectors in Malawi, all of whom are committed to improving quality of life for young children and their families. We have identified the need for a unified data management system in Malawi, that is compliant with General Data Protection Regulation legislation, and will enable NGO and research data to be integrated with national government survey data.
Accordingly, in this project we propose to build a new data platform that will harmonise existing datasets from NGOs, the Government of Malawi, and ongoing research projects in Malawi, to enable secondary analyses to be conducted that will identify causal pathways of adverse outcomes in early childhood. Results from these secondary data analyses will enhance understanding of factors that impact early child development and learning and will be utilised by NGOs and the Government of Malawi to make strategic decisions based on scientific evidence to enhance the effectiveness of their programmes and policies. The new data platform will be hosted within the Ministry of Gender and will be an ongoing, sustainable resource, improving the capacity and methods for secondary data research in Malawi and will act as a demonstration of potential to other developing nations. This project is timely as it will increase high-quality, impactful and relevant research in Malawi and other ODA contexts on factors influencing early childhood outcomes. The results of the project will impact generations of children in Malawi and other countries in the region facing similar development challenges.

Planned Impact

This interdisciplinary project will investigate consolidating datasets from NGOs, the Government of Malawi, and research projects being conducted across Malawi, into an integrated data platform, that will enable secondary data analyses to be conducted, the results of which will enhance understanding of key factors that impact early child development and learning outcomes in Malawi and other low-to-middle-income countries (LMICs) in the region.

The main beneficiaries of the project are: (i) international and national NGOs implementing programmes targeted at improving early childhood outcomes operating in Malawi and other LMICs facing similar challenges, (ii) the Government of Malawi, especially the ministries of Gender, Health, and Education who are responsible for early child development and learning, (iii) allied professional services, including staff working at hospitals, early learning centres, and primary schools, and (iv) current and future generations of young children and their families living and growing up in Malawi and other LMICs across Sub-Saharan Africa.

They will benefit from the research through:
Capacity building: An integrated data platform for early child development is unique and will be co-designed in a workshop at the start of the project to ensure it is fit for purpose by multiple end users. All UK and Malawian researchers, NGO partners - VSO and D-Tree International, delegates from the Malawi Government ministries of Gender, Health, and Education, and researchers from the University of Cape Town who are leading the Drakenstein Child Health Study in South Africa will participate in this workshop, which will increase their capacity to interact with the data platform, enhance their competencies to implement research-informed programmes and policies, and foster cross-country comparisons. Our main NGO partner, VSO, will build capacity through this project as it aligns directly with their signature education and health programmes. VSO will apply the findings from the secondary data analyses conducted during this project with their education outcomes data from the Unlocking Talent alliance and data from a new birth cohort study to drive and shape their education and health programming, ensure key questions from their signature education and health programmes can be addressed by the new data platform, and base programmatic decisions on scientific evidence to enhance effectiveness of their programmes.
Instrumental impact: The new data platform will be hosted by the Ministry of Gender within the Government of Malawi and will facilitate economic forecasting of the effects of poor childhood outcomes on broader sectors of society. It will enable the Government of Malawi to evaluate the impact of their policies and programmes on current early childhood outcomes in different regions across the country and at different points in time. Sustained use of the platform will enable evaluation of the long-term impact of any changes to policy and programming they make, as a result of the new knowledge gained through this research. NGOs can also submit their programme data for secondary analysis within the platform. This will bring about practice change for these organisations through engaging with open data practices and using scientific findings to inform strategic decision making on effective programming.
Conceptual impact: Interrogating the platform through secondary data analyses will enhance understanding of key factors that impact early childhood outcomes. Results will inform NGO practice and government policy. A launch workshop in the penultimate month of the project will raise awareness of this work to other NGOs operating in Malawi (UNICEF, Action Aid, and Save the Children), enhancing its reach and utility. Ultimately, this will improve provision of services for young children and their families in Malawi through evidence-based practice and policies which will result in improved outcomes for young children.

Publications

10 25 50
 
Description This project was funded by the Economic and Social Research Council in the UK [grant number ES/T01010X/1]. It aimed to understand why differences in early learning occur and to identify effective interventions to improve early child development and raise attainment in Malawi.
Like many low-income countries in Sub-Saharan Africa, Malawi is burdened with high rates of maternal, infant and childhood mortality and undernutrition. These are driven by multiple factors that interact over space and time. Coupled with economic and gender inequalities, factors that operate across early childhood result in many children failing to achieve their educational potential. At a national level this impedes economic development and perpetuates a cycle of poverty. A holistic, unified, approach to data acquisition of key factors impacting early child development, data sharing and linkage to existing datasets, statistical analyses and mathematical modelling, is required to identify which children are at greatest need of intervention.
The principle aim of this project was to build a new data platform for early child development in Malawi by harmonising geo-temporal data that already exists, courtesy of national surveys conducted by the Government of Malawi, with data from ongoing projects undertaken by our team of researchers at the University of Nottingham and NGO partners, relating to early educational outcomes, maternal and infant health, and micronutrients in soil and crop samples taken from plots where food is grown for consumption in family homes. Integrating these datasets into a large-scale national data platform enabled us to conduct secondary analyses, that have hitherto, not been possible. Here we demonstrate the potential power and utility of this new data platform and associated data science analytical approach in addressing the question:
Which factors influence successful outcomes at primary school in Malawi?
Results identified a range of factors, spanning education, nutrition, and health, that are related to primary school outcomes in Malawi. Interventions designed to improve primary school outcomes should take account of these factors. Improving any one factor alone may not be sufficient to raise achievement.
Exploitation Route Our research showed that successful outcomes at primary school in Malawi depend on a range of factors spanning education, nutrition, and health. Some of these factors operate in simple ways, whilst others are more complex relationships that need to be unpacked with future work. Interventions designed to improve primary school outcomes in Malawi need to take account of these factors. Improving any one factor alone may not be sufficient to raise attainment.

These results will be taken forward to inform policy on early child development, nutrition, and global education by the FCDO and the Government of Malawi.

They also form the basis of a new fellowship programme for data-driven policy making we are currently co-developing with the Association of Commonwealth Universities.
Sectors Agriculture, Food and Drink,Education,Healthcare

 
Description Findings from this project have been used to inform policymakers in the UK and Malawi - see Engagement Activities for further details
Sector Agriculture, Food and Drink,Education,Healthcare
Impact Types Policy & public services

 
Description Technical expert on nutrition and global education to FCDO
Geographic Reach Africa 
Policy Influence Type Participation in a guidance/advisory committee
URL https://www.globaleducationappg.co.uk/appgs-on-global-education-and-nutrition-for-growth-host-roundt...
 
Description Inception of a new fellowship programme for evidence-based policy making in Malawi QR PSF 2021-22
Amount £30,000 (GBP)
Funding ID 6675443 
Organisation University of Nottingham 
Sector Academic/University
Country United Kingdom
Start 01/2022 
End 03/2022
 
Title Unified region based covariates for investigating the causes of early childhood adversity 
Description A unified data set of covariates for investigating the causes of early childhood primary school level performance. Unified based on school level regions computed as the voronoi cells for all schools (geolocated from the Malawi Spatial Data Platform). Covariates contributing to this data set are from the following sources: The 4th Integrated Household Survey (IHS4) [https://microdata.worldbank.org/index.php/catalog/2936/data-dictionary], two birth cohort studies (IMPROVE and REVAMP), the Malawi Spatial Data Platform [http://www.masdap.mw/] and protein consumption data [based on the IHS3 data set: https://microdata.worldbank.org/index.php/catalog/1003]. Some fields are not available for public release. This dataset is a demonstrator of the types of datasets that can be automatically realized by the Prototype Malawi Unified Data Platform developed as part of the ESRC Grant: ES/T01010X/1. This demonstrator dataset represents the extraction of data at a sharable level of aggregation in order to investigate causes of early childhood adversity. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? No  
Impact See Engagement Activities section 
 
Description Co-developer of new fellowship programme 
Organisation Association of Commonwealth Universities
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Malawi faces significant development challenges arising from poor health and education at a population level. To strengthen capacity within Malawi to improve policy making in health and education, we are proposing a new fellowship programme that will ensure existing research and large national datasets are used effectively by public sector officials. The importance of research to the aims of development agendas is well known. Vitally important is locally driven research that can provide relevant and appropriate information to inform decision-making, including at local, national, regional, and international levels. It is clear that the availability of good data and the researcher capacity to collect, analyse, and communicate that data is essential to providing robust mitigation and adaption strategies. To address this need, the University of Nottingham (UoN) and Association of Commonwealth Universities (ACU) are proposing to partner with universities in Malawi to co-develop a new fellowship programme designed to train public sector officials and a cohort of researchers in Malawi on the use of data science to improve education and health outcomes for young people. At a recent scoping meeting with the UoN, African Development Bank (AfDB), and Government of Malawi, all stakeholders (43 in attendance) agreed a significant amount of data has been collected in Malawi over the past decade that will be critical for evidence-based policy making. However, it was acknowledged that researchers and policy makers in Malawi require training in how to use big data to address policy-practice issues of national need.
Collaborator Contribution The ACU is co-developing this new fellowship programme with the UoN. They re contributing staff time and knowledge, access to their networks, co-supervising consultants appointed to the inception phase.
Impact Award of funding from UoN to co-develop fellowship programme with ACU. See Further Funding details.
Start Year 2021
 
Description Collaboration with the Ministry of Health, Government of Malawi 
Organisation Ministry of Health Malawi
Country Malawi 
Sector Public 
PI Contribution We collaborated with the Director of Nutrition, HIV, and AIDS (Ministry of Health, Government of Malawi) throughout this project, to secure access to national datasets owned by the Government of Malawi to incorporate into the new data platform that was generated in this grant.
Collaborator Contribution Our partners assisted with gaining access to national datasets owned by the Government of Malawi to incorporate into the new data platform that was generated in this grant. They also facilitated access and discussions with external stakeholders and policy makers in Malawi in disseminating the results from this project.
Impact We are developing a new fellowship programme based on the work completed in this grant that will train public sector officials and researchers in Malawi in data science to inform evidence-based policy making and programming.
Start Year 2020
 
Description TRUE 
Organisation University of Malawi
Department College of Medicine
Country Malawi 
Sector Academic/University 
PI Contribution We have been working closely with our collaborators in Malawi to co-design and co-develop this integrated data platform. The research assistant is based in Malawi and he has been working remotely (because of Covid travel restrictions) with the big data scientists at Nottingham to integrate data from two ongoing pregnancy studies conducted at the College at Medicine, with education NGO programme data and national survey data owned by the government of Malawi. The Nottingham team has been training the research assistant in Malawi in big data science techniques. The PIs and CIs in the UK have worked closely with the CI in Malawi in forming research questions and in coordinating the necessary activities required to access different sources of data into the integrated data platform.
Collaborator Contribution The College of Medicine, University of Malawi, are co-investigators on this project. They have provided data from two ongoing pregnancy cohort studies to include in the integrated data platform, and the research assistant working on this project is based in Malawi. They have been integral in co-developing the integrated data platform with the PI and CIs at Nottingham.
Impact No outputs yet as award is ongoing.
Start Year 2018
 
Description Invited Expert to speak at an All Party Parliamentarian Group Roundtable 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact I was invited to speak at a Roundtable event on the role of nutrition in improving education in FCDO partner countries about my work, stemming from the ESRC grant, on the effects of malnutrition on education/early childhood development.

This meeting looked at how good nutrition is essential for the FCDO to meet their ambitions on girls' education and maximise their investments in GPE and foundational learning for children in low- and middle-income countries. The meeting discussed what the government can do at Nutrition for Growth and explored other opportunities to maximise the impact of UK Aid interventions in nutrition and education.
Year(s) Of Engagement Activity 2021
URL https://www.globaleducationappg.co.uk/appgs-on-global-education-and-nutrition-for-growth-host-roundt...
 
Description Participatory workshop on the AIDA Fellowship Programme 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact 40 people engaged with policy-making and programme implementation in the Global South participated in a workshop that introduced a new fellowship programme in data science that has been developed on the basis of the grant outcomes.
Year(s) Of Engagement Activity 2023
 
Description Stakeholder workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact The purpose of this workshop was to raise awareness of this work conducted in this ESRC grant amongst key stakeholders by describing the aims of the project and the data that is currently encoded within the new data platform. We also considered the challenges involved with building an integrated data platform with disparate datasets and demonstrated the platform's analytical power. We then opened the floor to attendees to discuss how best to advance this work and build capacity within Malawi to utilise this rich new data platform for the benefit of generations of Malawian children and their families.
Year(s) Of Engagement Activity 2021
 
Description Stakeholder workshop co-hosted with AfDB 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact On behalf of the Manager of Education and Skills Development Division, Human Development Department of the African Development Bank, stakeholders were invited to an initial discussion on Skills development for Out of School Youth in Malawi.
This meeting convened representatives from the Government of Malawi from the Ministries of Education, Health, and Youth, the University of Malawi, the University of Nottingham and the African Development Bank.
The key objective of this meeting was to (i) identify the needs of the Government of Malawi in Infrastructure and Skills development in the Education sector (Out of School Youth, TVET, and Tertiary education); (ii) Infrastructure and Skills development in the Health, and Nutrition sector ; (iii) identify potential interested partners to help co-design and deliver this program; and (iv) gather core statistics on current status of out of school youth, and current strategies and programs designed to address skill development and youth employment.
As part of this meeting, we presented details of the integrated data platform funded by the ESRC grant and it's potential to contribute towards understanding factors impacting out of school youth in Malawi.
Year(s) Of Engagement Activity 2021