Structured Roles and Economic Analysis for UBA Project

• Day: 2023-10-21
• Time: 05:45 to 08:45
• Project: Business
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Project Management, Economic Modeling, Recruitment, Data Science, Argentina

Description

Session Goal: The session aimed to define roles and team structures for the Indice de Pobreza UBA project, and to explore economic modeling and analysis techniques.

Key Activities:

• Outlined potential roles and profiles for recruitment, focusing on responsibilities and required skills.
• Proposed a lean team structure for the project, combining roles to optimize efficiency.
• Developed simplified volunteer roles in Spanish to attract younger individuals.
• Crafted a README section inviting diverse participation in the project.
• Created casual job role descriptions tailored for the Argentine context.
• Revised job descriptions for data science, GIS, and development roles.
• Conducted research on personal income and poverty in Argentina, linking to public policy.
• Analyzed sectoral sales time series, focusing on decomposition and economic fluctuations.
• Explored the impact of microshocks on sectoral sales through economic dynamics.
• Discussed matrix notation for covariance representation in economic modeling.
• Addressed real-world complexities in economic modeling, emphasizing firm dynamics.

Achievements:

• Completed framework for team roles and recruitment strategy.
• Developed insights into economic modeling and sectoral sales analysis.

Pending Tasks:

• Further refinement of recruitment materials and economic models for implementation.

Evidence

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