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Reproducible Research Fundamentals

This course is designed to teach research assistants and analysts best practices for reproducible research. Participants will learn how to implement transparent and reproducible workflows, to effectively code in a team environment, and to keep personal data secure throughout the lifecycle of a research project. The course covers best practices at all stages of the data workflow, from data management to cleaning, tidying, constructing indicators, analysis, and exporting reproducible outputs. Requires prior knowledge in a coding software (such as R, Python, Stata etc.).

Geographic Considerations in Evaluating Women’s Employment Opportunities

The course equips participants with a comprehensive understanding of how geographic factors influence women's access to employment and business opportunities. Through the lens of the novel innovative Geospatial Women's Employment Analytical Framework (GeoWEAF), this course examines the intersection of geography and gender, highlighting how the characteristics of the environment where women live can either enable or hinder their empowerment.

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.

Streamline Survey Cycles with Survey Solutions

This course is designed to provide an overview of all relevant topics for using the Survey Solutions platform for design, including: implementing and managing surveys; designing a computer-assisted personal or telephone interviewing (CAPI/CATI) app and preparing the server; creating survey assignments; monitoring survey progress; and reacting to incoming interviews, among others.