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Least-Cost Electrification for Energy Planning

This course introduces the Open-Source Spatial Electrification Tool (OnSSET), QGIS and the Global Electrification Platform (GEP). The program aims to discuss where grids, mini-grids or stand-alone technologies can be used to increase access to electricity in a country or region at the lowest cost by using Geospatial electrification models. The course equips participants to combine GIS data with demographic and techno-economic information. 

Manage Successful Field Research

This virtual course is designed for professionals responsible for managing field research. It is intended to improve the skills and knowledge of field research practitioners, familiarizing them with best practices, critical issues in research implementation, recurring challenges, and cutting-edge technologies.  

Generative AI and LLMs: An Introduction

The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has revolutionized the field of natural language processing. This introductory course aims to demystify generative AI and LLMs for both technical and non-technical audiences working with statistical and other types of data in development work. It will provide a comprehensive overview of the foundational knowledge required to understand LLMs, core concepts in generative AI, and recipes and suggestions on practical applications of generative AI in different stages of statistical work.

Using Alternative Data to Assess Immediate Socio-Economic Impacts of Crises, Conflicts and Natural Disasters

This cutting-edge course will train participants to use alternative data sources to monitor the immediate socio-economic impacts of 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 hands-on exercises, students will learn to extract and interpret key trends in the wake of disaster scenarios, such as using nighttime lights for power outage analysis and social media data for insights into internet connectivity.