Audit and Revamp of Data Projects
- Day: 2025-07-15
- Time: 02:15 to 02:45
- Project: Dev
- Workspace: WP 2: Operational
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Project Audit, Data Processing, Population Estimation, Census, Strategic Planning
Description
Session Goal
The session aimed to audit and revamp existing data projects, focusing on strategic value, technical health, and potential improvements.
Key Activities
- Strategic Project Audit: Developed a checklist to audit old projects, assessing inventory, strategic value, technical health, and upgrade paths.
- Project Analysis for samplerCensoARG: Conducted a comprehensive analysis of the samplerCensoARG project, detailing its architecture, technical health, and suggesting a refactor plan.
- Project Concept for Argentina Population Projection: Outlined the creation of a new repository for Argentina’s population data, including historical census data and projections.
- Modeling Techniques for Population Estimation: Reviewed various modeling techniques for estimating population data, focusing on demographic mechanics and administrative boundaries.
- INDEC’s Population Estimation Methods: Analyzed INDEC’s methods for small-area population estimation, detailing their formulations and assumptions.
- Scaling INDEC Population Curves: Proposed a method to adjust INDEC’s projected population curves to align with 2022 census data.
- Scaffold for Rescaled Population Projection Project: Outlined a directory and file structure for a project correcting INDEC population projections using 2022 census data.
Achievements
- Completed a strategic audit framework for existing projects.
- Developed a detailed analysis and refactor strategy for samplerCensoARG.
- Established a conceptual framework for a new population projection repository.
- Reviewed and documented various population estimation techniques.
Pending Tasks
- Further documentation and audits for samplerCensoARG.
- Implementation of the proposed population projection repository.
- Refinement of population estimation models and scaling methods.
Evidence
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