This cutting-edge course is designed to equip students with the skills necessary to utilize alternative data sources for the immediate assessment of economic impacts caused by crises, such as conflicts and natural disasters. Participants will engage in a learning journey that begins with a refresher on essential coding skills and progresses through the exploration of both open-source and proprietary data.

Through practical, hands-on examples, students will learn to extract and interpret key economic trends in the wake of disaster scenarios. They will delve into innovative methodologies, using nighttime lights for power outage analysis, movement data to track migration patterns and activity, Synthetic Aperture Radar (SAR) for damage assessments, and social media data for insights into internet connectivity. 

1. Refresh skills in Python, QGIS, Jupyter Notebooks, and GitHub for data analysis and code collaboration. 

2. Understand range of open-source and proprietary alternative data sources and how to access them.  

3. Identify key economic indicators for crisis impact assessments. 

4. Execute hands-on analysis of alternative data to measure these indicators. 

5. Synthesize course concepts to analyze the economic impact of a recent crisis on using alternative data. 

6. Present results as a collaborative webbook for dissemination.  

Participants will develop the competencies to navigate and analyze diverse data sets, equipping them with practical skills for real-world economic impact analysis in the context of crises. 

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Learning roadmap for the course.

Holly Krambeck

Program Manager with the World Banks' Development Data Group

Dunstan Matekenya

Data Scientist with the World Bank's Data Lab

Maria Sol Tadeo

Data Scientist at the World Bank Group