Lab Receives $1.2M Grant for Urban Flood Resilience Research
Lab Receives $1.2M Grant for Urban Flood Resilience Research
We are thrilled to announce that our laboratory has been awarded a $1.2 million grant from the National Science Foundation (NSF) to advance our research on urban flood prediction and management systems. This three-year project, titled “AI-Enhanced Urban Flood Resilience: Integrating IoT Networks and Machine Learning for Real-Time Prediction and Response,” will begin in January 2024.
Project Overview
The project aims to develop next-generation flood prediction systems that combine:
- IoT sensor networks deployed throughout urban watersheds
- Advanced machine learning algorithms for real-time data processing
- Cloud-based alert systems for emergency response coordination
- Community engagement tools for improved public awareness and participation
Research Impact
Urban flooding causes billions of dollars in damage annually and disproportionately affects vulnerable communities. Our research seeks to address this critical challenge by creating more accurate, accessible, and equitable flood management systems.
As Dr. Johnson, the principal investigator, explains:
“This grant allows us to bridge the gap between cutting-edge technology and practical implementation. By combining AI with extensive field data collection, we can create prediction systems that work in the real world, not just in the lab.”
Student Opportunities
The grant will fund:
- 3 PhD student positions
- 5 Master’s student research assistantships
- 10 Undergraduate summer research opportunities
Interested students should contact the lab coordinator for application details.
Timeline and Milestones
Phase | Timeline | Key Activities |
---|---|---|
Phase 1 | Jan-Aug 2024 | Sensor network deployment, data collection infrastructure |
Phase 2 | Sep 2024-May 2025 | Algorithm development, initial model testing |
Phase 3 | Jun 2025-Dec 2026 | System integration, community implementation, evaluation |
Collaborations
This project builds on our existing partnerships with:
- City Water Management Department
- Three neighboring coastal communities
- Environmental Justice Coalition
- Computer Science Department (AI/ML expertise)
Looking Forward
We are excited about this opportunity to advance the field of urban hydrology while making a tangible difference in community resilience. The technologies and methodologies developed through this grant will be open-source and designed for adaptation to other urban environments facing similar challenges.
Check back for regular updates as the project progresses!
Project team members at the grant announcement ceremony