Completed geospatial and data analysis tasks
- Day: 2023-03-29
- Time: 23:20 to 00:00
- Project: Business
- Workspace: WP 1: Strategic / Growth & Development
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Geospatial Analysis, Data Processing, Causal Inference, DHS, Reporting
Description
Session Goal
The session aimed to accomplish several tasks related to geospatial analysis, causal inference techniques, and data processing for social science research.
Key Activities
- Project Accomplishments: Discussed how each accomplishment fits within the broader project context, emphasizing collaboration.
- Geospatial Tasks: Outlined tasks for calculating distances between DHS clusters and the nearest road network.
- Data Analysis Techniques: Explored statistical methods for causal inference, including regression and covariate checks.
- [[Data Visualization]]: Created maps and histograms to visualize DHS survey points and covariates in Africa.
- Data Processing: Planned data processing tasks relevant to social science research on conflict and civic engagement.
- Report Completion: Finalized a report on analysis and processing tasks related to violent conflict and service delivery.
Achievements
- Successfully outlined geospatial tasks and data analysis techniques.
- Completed a comprehensive report detailing analysis and processing tasks.
Pending Tasks
- Further exploration of causal inference techniques and their application to ongoing projects.
Evidence
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- event_ids: []