Andrew Silva

Lead, Education 4.0 @ World Economic Forum

About Andrew Silva

Andrew Silva serves as the Lead for Education 4.0 at the World Economic Forum in Geneva, Switzerland, a position he has held since 2021. He holds a Ph.D. in Development Economics and has extensive experience in research, teaching, and economic analysis across various institutions.

Work at World Economic Forum

Andrew Silva has been serving as the Lead for Education 4.0 at the World Economic Forum since 2021. In this role, he focuses on innovative educational strategies and policies that align with the evolving demands of the global economy. His work is based in Geneva, Switzerland, where he collaborates with various stakeholders to enhance educational frameworks and promote sustainable development.

Education and Expertise

Andrew Silva holds a Ph.D. in Development Economics from the Graduate Institute of International and Development Studies, where he studied from 2012 to 2018. He also earned an M.Sc. in Economics from the same institution between 2010 and 2012. His undergraduate studies include a B.S. in Electrical Engineering and a B.A. in Economics from the University of California, Davis. Silva has expertise in advanced economic and statistical models, including counterfactual density simulation and bootstrapping methods.

Background

Andrew Silva's professional background includes diverse roles in academia and research. He worked as an Assistant Professor of Economics at the University of Nottingham from 2020 to 2021. Prior to that, he was a Research Economist at the World Trade Organization in 2019. Silva has also held positions at the USDA as a Research Trainee and at Daegis as an IT Administrator, showcasing his multidisciplinary experience.

Research Interests

Andrew Silva's research interests encompass causal inference methods, prediction models, labor economics, trade, and economic geography. His work often integrates advanced statistical techniques to analyze economic phenomena. He has a comprehensive list of publications and pre-prints available on his personal website, andysilva.com, reflecting his contributions to the field.

Technical Skills

Andrew Silva is proficient in a variety of programming languages, including R, Python, Stata, Matlab, C, and Linux shell scripting. This technical expertise supports his research and analytical work, enabling him to implement complex models and conduct data analysis effectively.

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