B0081 - GOVERNANCE DELLE SMART CITIES

Learning outcomes

The course aims to provide advanced knowledge of the conceptual and analytical tools necessary to analyze and understand the development of "smart cities." By the end of the course, students will be familiar with the tools useful for analyzing the relationship between citizens and public administration; they will be able to evaluate the impacts of certain applications; and they will master the process of developing software applications for innovative services in digital city contexts, with a particular focus on mobile technologies.

Course contents

The course aims to understand and interpret the evolution of smart cities. By the end of the course, students will be able to manage and understand:

• Foundations of Smart Cities: • Understanding the key concepts and characteristics of smart cities.
  • Study of innovative technologies used in smart cities, such as the Internet of Things (IoT), big data, and artificial intelligence.
  • Analysis of smart urban infrastructures and management systems.
• Governance Models: • In-depth exploration of governance models applicable to smart cities.
  • Study of public policies and regulatory tools for managing smart cities.
  • Understanding the role of institutions, local administrations, and citizens in urban governance.
• Sustainability and Innovation: • Knowledge of sustainable practices in smart cities, with particular focus on mobility, energy, and waste management.
  • Examination of innovative solutions to improve urban life quality and environmental sustainability.
• Smart Cities Economy and Finance: • Analysis of economic models for smart cities and financing methods.
  • Study of investments and public-private partnerships for smart urban development.

Skills Students Will Develop:

• Urban Planning and Design: • Ability to develop strategic plans for transforming cities into smart cities.
  • Skills in designing smart and sustainable infrastructures.
• Project Management: • Expertise in managing complex projects, particularly project work related to smart cities.
  • Ability to coordinate multidisciplinary teams and collaborate with various stakeholders.
• Data Analysis: • Ability to collect, analyze, and interpret big data to support urban governance decisions.
  • Use of advanced technological tools for urban data management and analysis.
• Communication and Collaboration: • Skills in effective communication with various stakeholders, including citizens, public administrations, and private partners.
  • Ability to facilitate dialogue and encourage active citizen participation in decision-making processes.
• Innovation and Problem Solving: • Expertise in identifying and implementing innovative solutions for urban challenges.
  • Ability to solve complex problems related to smart city governance and management.

Readings/Bibliography

Slides, lecturer's notes, book chapters, scientific articles, and online resources provided on the Virtuale website.

Teaching methods

The course will include lectures, case study presentations, best practice showcases, and discussions with students on various topics covered. Additionally, project work will be carried out during the lessons.

Assessment methods

The exam will be a written test, conducted in person, consisting of 4 open-ended questions. The time allotted is one hour.

• For attending students: • Written exam: 70%, based on the readings and content indicated in the syllabus, slides, testimonies, and materials presented in class.
  • Case study report: 30%. Each report must be submitted to the professor on the scheduled day. The structure of the reports will be explained during the first lecture.

• For non-attending students: • Written exam: 100%, based on the materials provided on the Virtuale platform.

Teaching tools

Slides and presentations, exercises, case studies, and in-class testimonies.

Office hours

See the website of Chiara Berti