Updated Mar 25, 2019

Data Science Approaches to Improve Maternal and Child Health in Africa

Offered by African Academy of Sciences, New Partnership for Africa's Development and Bill & Melinda Gates Foundation

There is now a key opportunity to accelerate research in this area by establishing robust collaborative research networks in Africa (especially those focused on pregnancy and the peripartum period) and analyzing data from multiple African sources to guide public health recommendations that are data-driven and cost effective.

The purpose of this call for proposals is to promote new quantitative approaches to synthesizing and analyzing data and evidence obtained from African public health surveys, longitudinal observational studies, clinical trials, and other relevant data sources – including combined datasets – to produce novel insights which can be used to improve maternal and child health in the African context and around the world.
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GrantType
Apr 26, 2019Deadline
$100,000Amount
24Duration(Months)

Mandatory Requirements

StageStage 2: Research & Development and Stage 3: Proof of Concept
Implemented in:
RegionAfrica
CountryN/A
Focus AreasMaternal Newborn and Child Health (Health)
Health Systems (Health)
We will give highest priority to proposals that:
-support innovative collaborations between African researchers, healthcare professionals, and data scientists that could contribute to a sustainable African maternal, neonatal, and child health research network
-answer critical scientific questions identified in this call for proposals, while building and strengthening data science capacity for Africa
-consider African genetic diversity by accessing genomics databases, gene sequences, genome-wide association studies, or genetic cohorts that include Africans such as Hapmap
-contribute to a portfolio of funded projects that addresses regional diversity and the need to provide health equity for diverse vulnerable populations
-explain how answers will have the highest likelihood of being relevant for implementation broadly in the public health system
-employ innovative and interdisciplinary analytical methods


Other Requirements

Target Beneficiaries
Successful proposals will take into account social, environmental and cultural determinants of outcomes and incorporate an understanding of the target community that includes barriers and constraints to delivery of interventions and to implementation of public health programs
Other

Examples of what we are NOT looking for:

  • Proposals submitted by applicants from institutions outside of Africa

  • Proposals that do not focus on health outcomes in Africa

  • Proposals for new studies to generate new data

  • Development of new primary data collection tools

  • Proposals not related to maternal and child health challenges

  • Approaches that do not meaningfully involve data from adolescents, mothers, or infants

  • Applications that do not adequately describe how the information in the datasets that will be used has the potential to answer the research question

  • Applications proposing data science algorithm development without clear relevance to answering the types of questions described in this call for proposals

  • Applications that do not adequately describe the methodology and explain why it is novel

  • Ideas without a clearly articulated and testable hypothesis together with metrics of success

  • Proposals that do not describe the innovation’s potential effects on health policy making

  • Analyses that are only slight improvements over existing approaches (e.g., replication of an approach in a new geography in the absence of added innovation)

Application Directions

Please submit application through Grand Challenges Africa portal
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