Photo: Georgina Smith/CIAT
The Structural Transformation of African Agriculture and Rural Spaces (STAARS) fellowship program managed by Cornell University in collaboration with the CGIAR Research Program on Policies, Institutions, and Markets (PIM) and other partners announces a call for concept proposals from early-career African researchers seeking to become STAARS fellows in 2019. Application deadline: March 1, 2019.
The fellowship will cover travel and training. STAARS fellows will be paired with mentors at Cornell University with whom they will jointly author a paper on a topic of mutual interest relating to structural transformation in Africa south of the Sahara. PIM will support the publication of resulting research findings in high quality journals and as working papers. In addition, PIM and Cornell will facilitate fellows’ participation in scientific and policy conferences.
The Structural Transformation of African Agriculture and Rural Spaces (STAARS) project is a collaborative venture between the African Development Bank (AFDB), CGIAR Research Program on Policies, Institutions, and Markets (PIM), Partnership for Economic Policy (PEP), African Economic Research Consortium (AERC), World Bank, and Cornell University. This project builds on the predecessor Agriculture in Africa: Telling Myths and Facts project led by researchers at the World Bank and relies heavily on the data provided through the Living Standards Measurement Study Integrated Surveys on Agriculture (LSMS-ISA) initiative. Read more about the project here.
The STAARS Fellowship began in 2016 and to date has supported 18 fellows from diverse backgrounds. Learn about past fellows here.
“…An exceptional opportunity to promote up-and-coming African researchers”
Prospective STAARS fellows are invited to develop proposals in the following thematic areas.
STAARS fellows’ rigorous policy analysis should use existing data, such as the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) or similar datasets from sub-Saharan Africa.
The call is open for early career African researchers, either Ph.D. students in their final year or those who completed their Ph.D. in 2014 or later. Priority is given to researchers based and working in – or soon returning to – Africa, with priority given to proposals relating to the research themes indicated above. Qualified female researchers are particularly encouraged to apply. STAARS encourages applications from fresh Ph.D. graduates who can benefit from a mentorship and additional training to become highly competent researchers. Fellows are expected to complete the proposed project by publishing findings as a working paper and submitting to a peer-reviewed journal by December 15, 2019.
The selected applicants will receive funds to cover travel and participation in a three-week mentorship program at Cornell University. No funds are available to support an individual’s time, so written permission from one’s supervisor will be required. No funds are available to support data collection or other research expenses.
The STAARS fellowship application process is managed by Cornell University, in collaboration with PIM. Applicants are required to prepare a maximum 2500 word (5 page) concept proposal, which motivates the selected research issues and objectives, outlines data sources, proposed methodology and contains a convincing plan for completing the project by December 15, 2019. All proposals shall be prepared in English. All proposals will be peer reviewed by experts from PIM and Cornell University.
The deadline to submit a concept proposal is March 1, 2019. Applicants should submit their completed proposal via email to staars@cornell.edu. Accepted applicants will be notified in mid-April and are expected to begin remote collaboration with their mentor immediately upon acceptance.
The proposed research and capacity development is expected to be undertaken as part of an ongoing effort by the scholar; STAARS will not cover the scholar’s time allocated to this research. The program cannot support costs for any new data collection. Researchers are expected to be familiar with existing data sets and have a strong working knowledge of Stata, R or other econometric software and an interest in econometric analysis of high quality data sets.
