📅 2023-06-11 — Session: Comprehensive Analysis on Infrastructure Investment
🕒 20:30–21:30
🏷️ Labels: Data Processing, Regression Analysis, Infrastructure Investment, Developer Responsibilities, Matching Algorithm
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore various aspects of data processing, integration, and analysis related to infrastructure investment and its impacts.
Key Activities
- Developer Responsibilities: Clarified the completion of developer roles and the availability of code for user empowerment.
- Algorithm Diagnostics: Implemented diagnostics for a matching algorithm to ensure data quality and covariate balance.
- Data Processing: Planned the matching process for a project on Conflict and Service Delivery, focusing on algorithm design and outcome evaluation.
- Datasets Merge: Merged datasets from various sources to enhance analysis on investment projects and social stability.
- Regression Analysis: Conducted regression analysis to estimate the effect of infrastructure investment using OLS.
- Comprehensive Data Analysis: Performed a series of analyses on merged datasets to examine the relationship between infrastructure investment and violence levels.
Achievements
- Successfully clarified developer responsibilities and code availability.
- Implemented effective diagnostics for matching algorithms.
- Planned and outlined data processing for a key project.
- Merged datasets to support comprehensive analysis.
- Conducted regression analysis to derive insights on infrastructure investment impacts.
Pending Tasks
- Further exploration of data analysis techniques to refine the understanding of infrastructure investment impacts.
- Additional robustness checks and validation of regression models.