Artisanal Mines and Women Empowerment
Using DHS data, historical gold prices, and a unique geospatial dataset of artisanal mining activities across Africa, we examine how artisanal mines affect women empowerment
"I have no special talents. I am only passionately curious." — Albert Einstein
I am a Research Assistant at Yale Economic Growth Centre.
I have over 4 years of experience in survey design and data analysis on projects across Africa (Kenya, Rwanda, Uganda, Mozambique), MENA (Lebanon, Palestine) and Europe (Italy, Portugal). In my master's thesis, I tested a novel method to measure technology adoption under the supervision of Professor Catia Batista
I design large-scale surveys using tools such as SurveyCTO, ODK, KoboCollect, and Qualtrics, and then analyze the results using statistical software such as Python and Stata. At Learn More, I worked on the midline evaluation of The Enhancing Quality and Inclusive Education (EQIE) project in Mozambique, Lebanon and Palestine and evaluated Digital Citizenship Education (DCE) across Council of Europe member states.
I have completed professional training in spatial analysis, reproducibility, field research and experimental research design including The 2022 PhD Summer School on Development Economics at Nova SBE on Political Economy and Development by Claudio Ferraz and Practical Issues in Designing and Analyzing Field Experiments by David McKenzie, Reproducible Research Fundamentals, Manage Successful Field Research, The CITI Program Certification in Social-Behavioral-Educational Researchers - Basic/Refresher and The Wheeler Institute's GIS for Quantitative Spatial Data Analysis workshop.
Current research projects and ongoing investigations
Using DHS data, historical gold prices, and a unique geospatial dataset of artisanal mining activities across Africa, we examine how artisanal mines affect women empowerment
Forecasting the adoption of technological innovations is difficult but potentially impactful, particularly in rural low-income communities worldwide. This paper tests a novel method to measure mobile money adoption by employing behavioral measures to elicit preferences for saving or remitting using mobile money. I link these game decisions to individual-level mobile money administrative transaction data; my findings show that while willingness to remit through mobile money strongly predicts adoption in the second and third years after mobile money was introduced, willingness to save in the mobile money game is a strong predictor of future mobile money cash-in and any mobile money transaction in the first, second, and third years.
Published research and policy reports
We provide a comprehensive overview of child labour in Uganda, offering insights into its causes, consequences, and potential solutions. This annotated bibliography synthesizes research findings to present the current state of knowledge on child labour patterns, educational impacts, and intervention effectiveness.
I'm always interested in discussing research collaborations, mentorship and feedback.