Susana Constenla-Villoslada

Hey there! I am a 2nd year PhD student at the School of Information. My focus is on research methods, namely econometrics and machine learning for international development research. I specialize in causal inference (impact evaluation), forward-looking and cross-sectional prediction for early warning and targeting, and indicator development and validation, with a focus on empirical resilience measurement in development settings.

Before joining the ISchool, I spent three years as a Research Analyst at the International Food Policy Research Institute in Washington, D.C. I hold an M.S. in Development Economics from Cornell University, which I obtained under a Fulbright Scholarship. I also hold a B.S. in Agricultural Engineering, with honors, from the Polytechnic University of Madrid.

Publications:

Constenla-Villoslada, S., Liu, Y., Wen, J. et al. (2022). Large-scale land restoration improved drought resilience in Ethiopia’sdegraded watersheds. Nature Sustainability. https://doi.org/10.1038.

Upton, J., Constenla-Villoslada, S. and Barrett, C.B. (2022). “Caveat utilitor: A comparative assessment of resiliencemeasurement approaches”, Journal of Development Economics, Vol- 157, 102873.https://doi.org/10.1016/j.jdeveco.2022.102873.