📅 2023-05-30 — Session: Collaborative Project Labeling and Economic Impact Analysis
🕒 08:15–08:50
🏷️ Labels: Project Management, Machine Learning, Economic Impact, Job Creation, Collaboration
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to collaborate on labeling machine learning datasets for social stability projects and to analyze the economic impact of various international development projects.
Key Activities
- Project Labeling Collaboration: Matías coordinated with Eric and Liwen to manually review and label development projects related to social stability using the AidData database.
- Investment Analysis: Reviewed World Bank investment projects focusing on job creation in sectors like renewable energy and health.
- Chinese Financial Support Overview: Analyzed the economic impact of Chinese government-funded projects, including infrastructure and training programs.
- Economic Impact Guide: Compiled a guide on the economic impacts of various project types, emphasizing job creation and skill development.
- Job-Creation Analysis: Categorized initiatives into job-creating and non-job-creating, providing insights into their economic effects.
Achievements
- Established a collaborative framework for project labeling.
- Gained insights into the job creation potential of World Bank and Chinese-funded projects.
- Developed a comprehensive guide on economic impacts of different project types.
Pending Tasks
- Continue the manual review and labeling of additional projects in the dataset.
- Further analysis of job creation components across more international projects.