![[IDP] Data-Driven Process Digitalization for Urban Event Management @ MCube Consulting](https://images.spr.so/cdn-cgi/imagedelivery/j42No7y-dcokJuNgXeA0ig/3dc45bec-75b6-4348-b4a9-30ba078678f5/webb4/w=3840,quality=90,fit=scale-down)
📌 Key facts
- Format: Interdisciplinary Project (IDP)
- Start: Flexible / anytime
- Team size: 2–3 students (recommended)
- Workload: Standard IDP scope (12 ECTS)
- Location: Munich Urban Colab / hybrid possible
- Application: Short motivation + CV → consulting@mcube-cluster.com
- 📌 Key facts
- 💡 Background
- Project Context
- 🚀 What You Will Work On
- 🎯 Required Skills
- 🌍 What You Get
- 📝 How to Apply
💡 Background
MCube Consulting is part of the MCube Network – Munich Cluster for the Future of Mobility in Metropolitan Regions.
We support public institutions and industry partners in bringing mobility and smart-city innovations into real-world implementation. Our work combines:
- Scientific research
- Applied consulting
- Digital product development
Project Context
Cities face increasing challenges in coordinating public events (festivals, markets, cultural events, etc.).
Current processes are often:
- Manual
- Paper-based
- Slow & non-transparent
Together with partners from research and public administration, MCube Consulting is developing a data-driven, digital event-management prototype:
→ to simplify coordination
→ improve transparency
→ reduce administrative workload
→ integrate geospatial + process data for better decision support.
This IDP allows students to help design and prototype these tools in a real innovation environment.
🚀 What You Will Work On
As part of the project team, you may:
- Develop and test prototype components (backend workflows, web forms, etc.)
- Build or integrate map-based visualizations and geospatial data layers
- Design or improve user interfaces for applicants and administration staff
- Analyze event-related data flows and evaluate usability
- (Optional) Explore AI-based validation (e.g., matching similar historical events)
You will work iteratively, and your contributions will influence the real prototype direction.
🎯 Required Skills
Good fit if you study Computer Science / Data Engineering / Geoinformatics / related fields and have:
You should have:
- Solid programming skills (e.g., Python, JavaScript/TypeScript)
- Experience with data analytics or web development
- Willingness to learn new tools and frameworks
Nice-to-have (not required):
- Dash / Streamlit / Plotly
- PostgreSQL / PostGIS
- GIS / Geospatial visualization
- API development, Docker, cloud basics
🌍 What You Get
- Work on real innovation projects with city administration & civic tech partners
- Combine software development + mobility + digital transformation
- Close collaboration with researchers & practitioners
- High autonomy, real responsibility
- Hybrid working culture (Urban Colab + remote)
📝 How to Apply
Send:
- Short motivation (3–6 sentences are enough)
- CV or grade report
to → consulting@mcube-cluster.com
If you have questions, just ask.
We are happy to meet for a short intro call.