📅 2025-08-19 — Session: Structured Research Lab and Drive Organization
🕒 22:20–23:05
🏷️ Labels: Lab Organization, Shared Drive, Socio-Economic Research, Generative Ml, Csv Schema
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to design and organize a theoretical lab ensemble and shared drive for socio-economic research, focusing on generative ML and synthetic data.
Key Activities
- Scaffolding a Theoretical Lab Ensemble: Developed a framework for student collaboration in generative ML and socio-economic microdata research, detailing roles and project clusters.
- Shared Lab Folder Structuring: Planned the organization of a shared lab folder with various artifacts to support students and future reference.
- CSV Schema Utilization: Explored innovative uses of CSV schema for creating research artifacts, including visualizations and mentorship simulations.
- Shared Drive Design: Outlined a structure for a shared drive to facilitate research on poverty and synthetic data, ensuring minimal user friction.
- Atlas de Investigación: Provided guidelines for a collaborative research space on poverty measurement and machine learning, including next steps.
- Drive and Lab Folder Proposals: Suggested structures for Google Drive and lab folders to enhance navigation and resource access.
- Landing Page for Lab Orientation: Proposed a landing page structure for guiding new lab members in navigating shared resources.
- CSV Conversion of SERP Tables: Executed the conversion of SERP classification tables into a structured CSV format.
Achievements
- Established a comprehensive plan for lab and drive organization, enhancing collaboration and resource accessibility for socio-economic research.
- Completed the CSV conversion task, providing a structured overview of research studies.
Pending Tasks
- Implementation of the proposed structures in the actual lab and drive environments.
- Further refinement of CSV schema applications for research artifacts.