Schedule

Tentative Schedule

• Monday
  • Morning
    • Introduction to the summer school.
    • Lecture on “Urban Computing: concepts, applications and methodologies”
    • Lecture on “Crowdsensing and its applications to smart cities”
  • Afternoon:
    • Student Working Groups. Hands-on experience with a mobile app and analysis of the gathered location-based data. Discussion on the most effective techniques for the visualization and analysis of geo-data.
    • Evening: welcome dinner.
• Tuesday
  • Morning
    • Lecture on “An overview of cross-domain data fusion”.
    • Lecture on “Social media meets urban computing”.
  • Afternoon:
    • Interactive tutorial on data analytics for behavioural urban data.
• Wednesday
  • Morning
    • Lecture on “Data-driven urban planning. Discovering urban functional zones based on human mobility”.
  • Afternoon:
    • Round table with novel uses of the physical web and student pitches of future apps based on this emerging technology.
    • Social event
• Thursday
  • Morning
    • Lecture on “User modeling for location-based services”
    • Students work on adaptive services and design on personalized systems
  • Afternoon:
    • Lecture on "Personalized spatial support for people with special needs".
    • Students work on the design of a personalized location-based service for people with cognitive/physical disabilities
• Friday
  • Morning:
    • Lecture on “The Spirit of The City”.
    • Hackathon/Datathon.
  • Afternoon:
    • Final student presentations and discussion on building a sustainable online community around the summer school topic (e.g. through social media).
    • Closing event.