SUMMER

SCHOOLS

JULY 2025 ● NOVI SAD, SERBIA

JULY 2026 ● DELFT, NETHERLANDS

JULY 2027 ● HAMBURG, GERMANY

Catch the summer vibes

Join our summer schools!

2025

Novi Sad, Serbia

2026

Delft, Netherlands

2027

Hamburg, Germany

Get Ready for AI Summer Sizzle! The Second Summer School is Happening in July 2026!  —– Get Ready for AI Summer Sizzle! The Second Summer School is Happening in July 2026! —–Get Ready for AI Summer Sizzle! The Second Summer School is Happening in July 2026!  —– Get Ready for AI Summer Sizzle! The Second Summer School is Happening in July 2026! —–

Our summer schools are part of a TWINNING methodology aimed at enhancing research excellence through collaborative training and networking. They will focus on building the capacity of early-stage researchers (ESRs) and fostering collaboration among all project partners.

Key Highlights of the Summer Schools

Annual Themes:

  • Year 1: AI-based urban flood risk models under climate change – Focus on theoretical foundations of AI applications in urban flood modeling.
  • Year 2: Nature-Based Solutions (NBSs) and green technologies for flood risk reduction – Explore implementation strategies of NBS technologies.
  • Year 3: Innovation in the context of flooding – Delve into applied aspects and practical implementations of technologies discussed in previous years.

Structure and Activities

  • Lectures and Tutorials: Delivered by experts from IVI, TU Delft, IHE Delft, and TUHH to build foundational and advanced knowledge.
  • Interactive Sessions: Hands-on training in AI and flood engineering, networking opportunities, and competitions (e.g., hackathons).
  • Collaborative Projects: Opportunities for joint work among Early Stage Researchers (ESRs) to encourage interdisciplinary and international collaboration.

Networking Opportunities

  • Bringing together ESRs from around the world to stimulate long-term connections.
  • Promoting interaction through both academic and informal settings.

Focus on Capacity Building

  • Strengthen skills in AI-driven flood modeling, decision-making, and NBS integration.
  • Build competencies for research innovation and application in climate-resilient infrastructure.