Table 1.
No. | Project title | Grant type | Collaborating institutions | Objectives |
---|---|---|---|---|
1. | Advancing Public Health Research in Eastern Africa through Data Science Training (APHREA-DST) | Training program |
Columbia University, USA Addis Ababa University, Ethiopia University of Nairobi, Kenya |
Develop new context-specific MS in public health data science. Mentor faculty to build and strengthen capacity in health data science. Conduct short-term training programs. |
2. | Computational Omics and Biomedical Informatics Program (COBIP) | Training program |
Oregon Health & Science University (OHSU), USA University of Cape Town, South Africa. |
Develop data science training program focused on the health priorities of Africa. Implement multi-disciplinary in biomedical data science. Establish an international center of excellence in computational omics and biomedical informatics in Africa. |
3. | Data Science for Child Health Now in Ghana (DS-CHANGE) | Training program |
KNUST, Ghana University of Washington, Seattle Children’s Hospital and Research Institute Smile Train |
Deliver a comprehensive mentored interdisciplinary training program in data science health research. Increase capacity in biomedical data science. Develop proficiency in effective team science methods for interdisciplinary teams. |
4. | Makerere University Data Science Research Training to Strengthen Evidence-Based Health Innovation, Intervention and Policy (MakDARTA) | Training program |
Makerere University, Uganda Johns Hopkins University, USA |
Establish graduate degree training in data science at MakCHS. Provide Postdoctoral training. Train MakCHS faculty to enhance their capabilities for data science research and mentorship of data science trainees. |
5. | NYU-Moi Data Science for Social Determinants Training Program (DSSD) | Training program |
New York University, USA Moi University, Kenya Brown University, USA |
Create intellectual meeting spaces for a data science and health. Propel and sustainably advance data science capacity in Kenyan institutions. |
6. | Research Training on Harnessing Data Science for Global Health Priorities in Africa | Training program |
Harvard University, USA Heidelberg University, Germany University of KwaZulu-Natal, South Africa |
Train mid-level and senior researchers at UKZN. Build a critical mass of junior public health and medical professionals across South Africa, Ghana, Nigeria, Tanzania, and Uganda. Implement sustainable master’s degree program in health data science at the UKZN. |
7. | Research Training in Data Science for Health in Rwanda | Training program |
Washington University in St. Louis, USA University of Rwanda, Rwanda African Institute for Mathematical Sciences, Rwanda |
Identify competencies in major scientific areas. Foster innovative team science transdisciplinary approach to research. Build institutional capacity to support long- term sustainability. |
8. | Combatting Antimicrobial Resistance (AMR) in Africa Using Data Science (CAMRA) | Collaborative research center |
Redeemer’s University, Nigeria J. Craig Venter Institute, Inc., USA University of Nebraska Medical Center, USA |
Comparative phenotypic and genotypic studies of clinical isolates to inform trends in AMR and dynamics of transmission. Develop portable screening tool for clinical care. Explore benefit of an aminoglycoside conjugated to an antimicrobial peptide for enhanced bactericidal activity. |
9. | Developing data science solutions to mitigate the health impacts of climate change in Africa: the HE2AT Center | Collaborative research center |
University of the Witwatersrand, South Africa Liverpool School of Tropical Medicine (LSTM), UK IBM Research Africa, South Africa University of Basel, Switzerland University of Washington, USA |
Prepare a data science ecosystem and platform to support analysis of existing environmental, biomedical, and other data. Increase knowledge and develop sustainable solutions to address climate change and health. Advance capacity for data science research in climate change and health in sub-Saharan Africa. Serve as a continental resource and center of excellence for policy and practice. |
10. | Harnessing Data Science to Promote Equity in Injury and Surgery for Africa (D-SINE) | Collaborative research center |
University of Buea, Cameron University of California, Los Angeles and Berkeley, USA The Cameroonian Ministry of Public Health African Institute for Mathematical Sciences, Cameroon University of Cape Town, South Africa. |
Decrease the burden of injuries and surgical diseases through improved surveillance, prevention, and treatment. Improve access to quality surgical care in Cameroon and other SSA countries. |
11. | Multimorbidity in Africa: Digital innovation, visualization, and application (MADIVA) | Collaborative research center |
University of the Witwatersrand, South Africa African Population and Health Research Center, Kenya IBM Research Africa South African Population Research Infrastructure Network Vanderbilt University Medical Center. South Africa |
Link integrated data sets and create dashboard that will allow researchers to find data and plan projects. Create a clinic dashboard to help clinic managers and health officials monitor and plan effectively. Develop robust methods for risk profiling of individuals and communities using heterogeneous data and pioneer use of polygenic risk scores in Africa. |
12. | MUST Data Science Research Hub (MUDSReH) | Collaborative research center |
College of Ophthalmologists of Eastern, Central and Southern Africa Kwame Nkrumah University of Science and Technology, Ghana Massachusetts Institute of Technology, USA Massachusetts General Hospital, USA |
Use data science to analyze medical images for advancing clinical care. Integrate data science with implementation science to promote clinical impact. |
13. | Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa | Collaborative research center |
Institute of Human Virology Nigeria Centre for the AIDS Programme of Research In South Africa |
Establish data streams from public and private sectors to understand multilayer interactions that explain the dynamics and impact of COVID- 19 pandemic. Develop geospatial tools for pandemic surveillance and response to improve preparedness. Expand data science research opportunities and capacity. Maintain sustained engagement with the policy makers and governments. |
14. | UtiliZing health Information for Meaningful impact in East Africa through Data Science (UZIMA-DS) | Collaborative research center |
Aga Khan University, Kenya University of Michigan, USA |
Harmonization of multimodal data sources for meaningful use and analyses. Leveraging temporal patterns of data to identify trajectories through prediction modeling using AI/ML-based methods. Engaging with key stakeholders to identify pathways for dissemination and sustainability of these models into target communities. |
15. | Bridging Gaps in the ELSI of Data Science Health Research in Nigeria (BridgELSI) | ELSI project |
Center for Bioethics and Research (CBR), Nigeria George Washington University, USA University of Maryland School of Medicine, USA |
Evaluate current legal frameworks for ethical oversight of data science health research. Develop new and innovative governance frameworks to support data science health research in Nigeria. Prospectively evaluate the knowledge, attitude, and practices to current and emerging ELSI of data science research in Nigeria. |
16. | DS-I Africa - Law | ELSI project | University of Kwazulu-Natal, South Africa | Investigate the legal themes associated with modes of informed consent to the use of data; the nature and content of individual and community rights in genomic data; the use of individuals’ geospatial data for public health surveillance; the cross-border sharing of data; and the use of data as basis for Artificial Intelligence (AI). |
17. | Public Understanding of Big data in Genomics Medicine in Africa (PUBGEM-Africa) | ELSI project | University of Cape Town, South Africa |
Investigate models of public engagement and preparedness for big data use in health. Explore the roles and responsibilities of stakeholders regarding intellectual property and commercial use of genomics big data in health. Investigate public perceptions of governance of big data in health. Develop data governance frameworks for innovation and health in Africa. |
18. | Research for Ethical Data Science in Southern Africa (REDSSA) | ELSI project |
Stellenbosch University, South Africa University of North Carolina, USA |
Obtain key stakeholder views regarding the governance of data science in DSI-Africa Research Hubs in Southern Africa. Develop guidance documents. Create ELSI networks and communication channels on data science in Southern Africa. |
19. | DS-I Africa Coordinating Center | Coordinating Center | University of Cape Town, South Africa | Develop an efficient CC addressing all the joint administrative, collaborative, and logistical needs of the consortium. |
20. | Open Data Science Platform | Open Data Science Platform | University of Cape Town, South Africa | Establish the ODSP gateway and its eLwazi platform to facilitate novel discoveries for health. |