Established in 2019, the Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) was created to address these four crises, maximizing impact for change at key points in the food system.
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Attend a two-week training to get familiarized with the evidence synthesis research topic and protocol, data extraction tool, and quality control processes.
Screen publications against predefined inclusion and exclusion criteria, using human-assisted machine learning methods.
Extract relevant data on adaptation effectiveness following a structured protocol, including causal evidence of effectiveness, study design, data collection methods, ensuring comprehensive coverage of gray and peer-reviewed literature.
Ensure data quality and consistency, verifying data accuracy, validity, and reliability.
Contribute to the refinement of the data extraction system by providing feedback on workflow improvements and reporting technical issues.
Participate in regular team meetings and report progress via internal communication tools (e.g., Slack, Google Sheets, Notion).
Contribute to data analysis and co-author research outputs, based on interest.
Requirements
Required qualifications and experience
Advanced Degree in Agronomy, Agroecology, Environmental Sciences, Livestock Science, Landscape Ecology, Policy, Agricultural or Development Economics, International Agricultural Development, Climate Change, or related field.
Proven experience with climate change adaptation projects in the agricultural sector
Familiarity with systematic reviews, meta-analyses, or evidence synthesis methods in climate adaptation and/or agriculture.
Understanding of methodologies used in adaptation assessments, including evaluations and impact assessments. Proven experience with econometrics/quantitative analysis is preferred.
Proven ability to critically assess research methodologies and identify sources of bias in climate adaptation literature.
Strong organizational and analytical skills, with exceptional attention to detail.
Ability to work independently and collaboratively in a cross-cultural, remote team environment under tight deadlines.
Excellent written and oral communication skills in English. Knowledge of French is an asset.
Proficiency in data analysis and documentation tools, including Microsoft Office (Excel), Google Sheets, and Slack. Experience with R/Python is a plus.
Gmail
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