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---
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# Welcome to the AI for Disaster Management (AI4DM) GitHub Organization
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This is the official GitHub organization for the **Advanced Study Institute on Artificial Intelligence for Disaster Management**, a 7-day intensive course sponsored by the **NATO Science for Peace and Security (SPS) Programme** (Grant G8054).
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The event will be held from **November 17-25, 2025**, at the **University of Central Florida's Institute for Simulation and Training** in Orlando, FL, USA.
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##
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About This Organization
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This space serves as the central hub for all technical materials, code, datasets, and presentations related to the Advanced Study Institute. Our goal is to provide a lasting and accessible resource for all participants, both during and after the event.
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Here you will find a collection of repositories dedicated to the various sessions and hands-on labs covered in the course.
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##
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Key Course Themes
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The curriculum is structured into two main parts, with dedicated repositories for each:
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* **Part 1: Automated Building Damage Identification**
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* Fundamentals of Image Classification & CNNs
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* Effective Training of Deep Learning Models
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* Hands-on Lab: Building a Damage Classification CNN with PyTorch
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* **Part 2: Automating Flood Event Detection Using Satellite Imagery**
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* Machine Learning Workflows for Geospatial Data
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* Utilizing Hardware-Accelerated Tools (GPUs) for Efficient Processing
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* Hands-on Lab: Deploying a Deep Learning Model for Flood Detection
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##
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Navigating the Repositories
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Each repository is named to correspond with a specific session or topic from the event programme. Inside each repository, you will find:
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* Presentation slides (PDF)
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* Jupyter Notebooks or Python scripts for hands-on labs
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* Links to relevant datasets
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* Additional learning resources and documentation
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##
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Event Information & Links
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* **Official Event Website:** [https://sites.google.com/view/nato-sps-ai4dm](https://sites.google.com/view/nato-sps-ai4dm)
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* **Contact the Organizers:** For questions about the event, please email Dr. Bulent Soykan at `Bulent.Soykan@ucf.edu`.
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---
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*This activity is sponsored by the NATO Science for Peace and Security Programme under grant G8054.*
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