The Fellowship
The Capacity Accelerator Network (CAN) initiative develops data science talent for climate and health impact across Africa. The CAN Fellowship provides emerging data science professionals with the skills needed to address challenges at the intersection of climate and health and make a positive impact on lives across the continent.
During the program, participants collaborate with host institutions and mentors on projects to share their data skills, encourage innovative solutions, and build a network of data professionals committed to sustainable development. The fellowship includes practical project work, media training, and opportunities for fellows to present their work at local, regional, and international events.
Applications are closed!
The fellowship program includes data science training and practical experience through a five-month scheme focusing on specific use cases in different African countries. Over three years, the program aims to build the capacities of 100-200 data practitioners specializing in data science and its application in health, climate, and related topics. Fellows also support social impact or public sector organizations across multiple African countries.
"This is where the magic happens"
Hear more about the CAN Fellowship with Davis Adieno, Senior Director of Programs at the Global Partnership for Sustainable Development Data.
Application details
Applicants should have a completed first university degree, capacity for independent academic research and study, at least three years of working experience in data management, analysis, and visualization, good communication skills, strong expertise in technology and data science, and a working knowledge of African country contexts concerning climate and health.
This is a full-time position. Fellows receive a monthly stipend and are expected to be physically present within the government department or SIO office during the assignment period.
Call for applications is currently closed.
Capacity Accelerator Network
Using data science to tackle land degradation
Data science for health and climate in Africa: Meet the CAN Fellows
Investing in climate and health data for Africa: A timely necessity
Building a digital foundation to transform Ghana's land use
Mapping and analysis of land degradation in Lubumbashi, Democratic Republic of Congo (DRC)
Using data science to tackle land degradation
Using better data to transform carbon monitoring in Kenya
CAN fellow champions data-driven farming for climate, nutrition, and equity wins in Kenya
Meet the second cohort of CAN Data Science Fellows tackling climate and health challenges across Africa
Interview with CAN Fellow Abubakar Isa-Abubakar: Combating land degradation through community resilience
