The objective of this challenge is to leverage open data and develop creative and practical citizen-centric services. Cities are generally not able to give an effective answer to the differentiated set of citizens' needs, and to serve on demand. Students should identify how data-driven services can have a positive impact in different areas of application, such as transportation, public safety, health and well-being, education, or community engagement. To this end, they should be able to deal with data in terms of access, integration, analysis and visualization with the ultimate goal of extracting relevant knowledge by exploiting proper data science tools. Students will explore how to address the needs and preferences of the residents of the Autonomous Province of Trento (PAT) while enhancing their quality of life through open data-driven solutions.
CaaS: Build the City You Need
CaaS: Build the City You Need
Our challenge
Do you believe that technologies are automatically transforming our cities into ‘smart’ ones?
The Team
- Study format
- Hybrid
- Application period
- 1 July – 21 September 2023
- Study period
- 24 October – 30 November 2023
- Credits
- 6 ECTS
- Hosting university
- University of Trento
Learning outcomes
Ecosystemic Approach
Students will be able to apply an ecosystemic approach in the design of effective and efficient services for citizens.
ESCO SKILLS
Open Data
Students will also learn how to treat open data with a robust and strategic view. This will allow them to create synergies by crossing sectoral boundaries and applying a data driven approach for the design of citizens services.
ESCO SKILLS
Potential progress
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Information
The objective of this challenge is to leverage open data and develop creative and practical citizen-centric services. Cities are generally not able to give an effective answer to the differentiated set of citizens' needs, and to serve on demand. Students should identify how data-driven services can have a positive impact in different areas of application, such as transportation, public safety, health and well-being, education, or community engagement. To this end, they should be able to deal with data in terms of access, integration, analysis and visualization with the ultimate goal of extracting relevant knowledge by exploiting proper data science tools. Students will explore how to address the needs and preferences of the residents of the Autonomous Province of Trento (PAT) while enhancing their quality of life through open data-driven solutions.
