📅 2023-05-30 — Session: Collaborative Project Labeling and Economic Impact Analysis
🕒 08:15–08:50
🏷️ Labels: Project Management, Machine Learning, Economic Impact, Job Creation, International Development
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal: The session aimed to collaborate on project labeling for a machine learning dataset and reflect on the economic impact of various international development projects.
Key Activities:
- Collaborated with Eric and Liwen to manually review and label development projects related to social stability using the AidData database.
- Reviewed World Bank investment projects, focusing on job creation components in sectors like renewable energy and health.
- Analyzed Chinese government-funded projects, assessing their contributions to job creation and economic activities.
- Compiled a guide on the economic impacts of different project types, emphasizing infrastructure, training programs, and grants.
- Categorized initiatives into job-creating and non-job-creating, discussing their economic impacts.
Achievements:
- Successfully outlined a collaborative workflow for project labeling.
- Gained insights into the job creation potential of various international development projects.
- Developed a comprehensive guide on economic impact analysis.
Pending Tasks:
- Further refinement of project labeling criteria to enhance dataset quality.
- Continued monitoring of economic impact from ongoing projects to update analysis.