Private collaborative research repository for the RICER Summer 2026 project: AI-driven forest-fire risk prediction for climate resilience in Morocco.
# RICER Summer Research 2026
**RICER — Resilient Infrastructures and Coordinated Emergency Response**
Collaborative research repository for the Summer 2026 RICER research component at the Digital Innovation Lab (DIL), Al Akhawayn University.
## Project Goal
Develop an AI-driven wildfire-risk-prediction framework for Morocco, with an initial focus on the Middle Atlas region. The research component investigates:
- Earth Observation data
- environmental, climatic, vegetation, and topographic indicators
- operational fire-risk information from SYSFEU, when applicable
- baseline and enhanced machine-learning models
- IBM/NASA Prithvi Earth Observation Foundation Models
- Agentic AI for data orchestration, monitoring, and decision support
- reproducible MLOps pipelines
- integration of validated risk layers into the existing RICER application
## Repository Design
This repository separates:
1. **Stable project documentation**
2. **Previous RICER work audits**
3. **Dataset and literature reviews**
4. **Exploratory workstreams owned by team members**
5. **Integrated implementation code**
6. **Experiments, results, and deliverables**
## Repository Navigation
| Folder | Purpose |
|---|---|
| `01_Project_Overview/` | Objectives, team roles, glossary, and research scope |
| `02_Weekly_Progress/` | Weekly reports, meeting notes, decisions, priorities, and blockers |
| `03_Data_and_Resources/` | Dataset registry, audits, schemas, approved samples, and access guidance |
| `04_Literature_and_References/` | Paper summaries, reading lists, and topic-specific notes |
| `05_Previous_RICER_Work/` | Audit of prior RICER assets, application, datasets, and XGBoost work |
| `06_MLOps_Pipelines/` | Data, modeling, Agentic AI, deployment, monitoring, and infrastructure designs |
| `07_Technical_Implementation/` | Integrated project code, notebooks, scripts, environments, and configs |
| `08_Experiments_and_Results/` | Experiment registry, metrics, comparisons, artifacts metadata, and …