Data Must Speak — Project brief
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The Office of Research – Innocenti is UNICEF’s dedicated research centre. Our core mandate is to undertake cutting-edge, policy-relevant research that equips the organization and the wider global community to deliver results for children. This project brief summarizes our research on the Data Must Speak project.
![Overview
Even in the most difficult contexts, some schools
outperform others in terms of learning, gender
equality and retention. Many of these ‘positive
deviant’ schools thrive within similar context and
with comparable resources as those that do less
well. In theory, this phenomnon must be closely
linked to practices, behaviors, attitudes and social
norms in schools. Unfortunately, positive deviant
schools are rarely identified, and little is known
about what is working and how we can scale their
success.
The Data Must Speak initiative provides capacity
strengthening to educators for more effective and
transparent data use to improve students’ learning
including foundational literacy and numeracy skills.
It is based on a growing body of evidence that
demonstrates that using data, especially from
service delivery at district, school and community
levels, can positively impact learning conditions and
outcomes.
Since 2019, Data Must Speak has an innovative
mixed-methods ‘positive deviance’ research
component that aims to answer the following
research questions:
1. What are the local practices and behaviors that
make some schools achieve better results than
others even though they operate in a similar
context and with comparable resources?
2. What are actionable system, school and
community levers to optimally scale those
practices and behaviors to lower-performing
schools?
Approach
The research – undertaken in Brazil, Burkina Faso,
Côte d’Ivoire, Ethiopia, Ghana, Lao PDR, Madagascar,
Mali, Nepal, Niger,Tanzania,Togo, and Zambia – uses
a country-level mixed-method approach combining
quantitative, qualitative and participatory implementa-
tion research as well as behavioral and scaling science.
At each stage of the research five guiding principles are
applied: demand-driven; national ownership; learning
by doing; peer-to-peer learning; and sustainability.
Data Must Speak research aims at improving educa-
tion systems from the bottom-up and to empower
in-country stakeholders to generate and use educa-
tion data to inform policy and practice.
Goal
This research aims to (1) strengthen country-level
capacity to use data; (2) identify grassroot positive
deviant practices and behaviors in classrooms and
communities; and (3) identify levers for scaling them
up to improve schools’ and students’ performances.
Project Highlights
PROJECT BRIEF
Contact Info
Renaud Comba
Data Must Speak Research Manager
rcomba@unicef.org
Identification of Positive
Deviant Schools and
School Typology
[Quantitative Research]
Understanding School-level
Positive Deviant
Behaviors/Practices
[Behavioral Science]
Investigating Levers for
Optimum Scale
[Participatory Implementation
Research & Scaling Science]
Country-level Knowledge
Use & Global Mobilization
Stage 1 Stage 2 Stage 3 Stage 4 Stage 5
Analysis of resources
and context associated
with school performance
[Quantitative Research]
National and Regional implementation and reports
(2021–2023)
In partnership with national stakeholders in partici-
pating countries, the team is co-creating and
co-implementing the Data Must Speak research.
Matt Brossard
Chief, Education
mbrossard@unicef.org
National and Regional level reports, including
cross-country comparative analyses, providing
concrete recommendations, are in development as
well as policy-oriented activities – to ensure high
research uptake – organized with all partners.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Data Must Speak — Project brief
- 1. PROJECT BRIEF Data Must Speak Positive Deviance Research What are the practices and behaviors that make some schools perform better than others and how do we scale them up? © UNICEF/UN0145988/Schermbrucker
- 2. Overview Even in the most difficult contexts, some schools outperform others in terms of learning, gender equality and retention. Many of these ‘positive deviant’ schools thrive within similar context and with comparable resources as those that do less well. In theory, this phenomnon must be closely linked to practices, behaviors, attitudes and social norms in schools. Unfortunately, positive deviant schools are rarely identified, and little is known about what is working and how we can scale their success. The Data Must Speak initiative provides capacity strengthening to educators for more effective and transparent data use to improve students’ learning including foundational literacy and numeracy skills. It is based on a growing body of evidence that demonstrates that using data, especially from service delivery at district, school and community levels, can positively impact learning conditions and outcomes. Since 2019, Data Must Speak has an innovative mixed-methods ‘positive deviance’ research component that aims to answer the following research questions: 1. What are the local practices and behaviors that make some schools achieve better results than others even though they operate in a similar context and with comparable resources? 2. What are actionable system, school and community levers to optimally scale those practices and behaviors to lower-performing schools? Approach The research – undertaken in Brazil, Burkina Faso, Côte d’Ivoire, Ethiopia, Ghana, Lao PDR, Madagascar, Mali, Nepal, Niger,Tanzania,Togo, and Zambia – uses a country-level mixed-method approach combining quantitative, qualitative and participatory implementa- tion research as well as behavioral and scaling science. At each stage of the research five guiding principles are applied: demand-driven; national ownership; learning by doing; peer-to-peer learning; and sustainability. Data Must Speak research aims at improving educa- tion systems from the bottom-up and to empower in-country stakeholders to generate and use educa- tion data to inform policy and practice. Goal This research aims to (1) strengthen country-level capacity to use data; (2) identify grassroot positive deviant practices and behaviors in classrooms and communities; and (3) identify levers for scaling them up to improve schools’ and students’ performances. Project Highlights PROJECT BRIEF Contact Info Renaud Comba Data Must Speak Research Manager rcomba@unicef.org Identification of Positive Deviant Schools and School Typology [Quantitative Research] Understanding School-level Positive Deviant Behaviors/Practices [Behavioral Science] Investigating Levers for Optimum Scale [Participatory Implementation Research & Scaling Science] Country-level Knowledge Use & Global Mobilization Stage 1 Stage 2 Stage 3 Stage 4 Stage 5 Analysis of resources and context associated with school performance [Quantitative Research] National and Regional implementation and reports (2021–2023) In partnership with national stakeholders in partici- pating countries, the team is co-creating and co-implementing the Data Must Speak research. Matt Brossard Chief, Education mbrossard@unicef.org National and Regional level reports, including cross-country comparative analyses, providing concrete recommendations, are in development as well as policy-oriented activities – to ensure high research uptake – organized with all partners.