About this minor
This joint minor is offered in collaboration with Leiden University and TU Delft. Education may take place at several locations.
Learn about the opportunities offered by new technology and about the social issues that arise from it. Smart City is a buzz word. Technological developments bring opportunities for the city, but also social discussion. How do citizens and administrators deal with the digitization of the city? What questions arise with developments such as Wi-Fi trackers, cameras, smart lampposts, delivery robots and drones in public space? This raises not only technical, but also legal, economic, and behavioral science questions.
The Leiden-Delft-Erasmus minor Smart and SHARED Cities highlights the smart city theme from various disciplines. The program consists of a combination of data science, public administration, urban studies, and social sciences. You learn about the opportunities offered by new technology and about the social issues that arise from it.
**** At the end of module 1, students will be able to:
• Explain the origins and function of the smart city concept.
• Identify key enabling technologies and methodologies of the smart city.
• Identify (recognize) and compare the different conceptions of the smart city concept.
• Position themselves in the smart city debate, argue for that position and reflect on that
At the end of module 2, students will be able to:
• Understand the relevance of citizen participation in smart cities.
• Compare different examples of citizen participation and their underlying paradigms in
smart city rhetoric and practice.
• Reflect on different design approaches to accommodate transparency and actionability
for citizen participation in smart cities.
• Create a design proposal for transparency and civic actionability in smart cities.
At the end of module 3, students will be able to:
• Analyse complex governance processes in smart cities.
• Have a grasp of current discussions in the literature on governance-related aspects of
• Write a policy brief.
• Explain the role of different stakeholders in the smart city context, especially local
government, and citizens.
• Reflect on and compare different interests and point of views when using technology
and data in a smart city context.
• Evaluate smart city policies in light of vulnerable groups.
After completing block B (30 EC programme), students will have acquired knowledge about urban data science, its advantages and limitations and how it could be optimized for its citizens and civil servants. The knowledge that students will acquire in these modules will be applied in a case project, where theory is applied in practice by means of a research project.
At the end of module 4, you will be able to:
• Identify new sources of spatiotemporal urban data, and ways to collect them.
• Compare different types of urban data based on their characteristics.
• Select appropriate sources of urban data to address problems of (smart) cities, relating
to a range of application domains (e.g., mobility, health, housing etc.);
• Explain and discuss applications of new forms of urban data in cities, as well as
concepts and methods of spatial data analysis and visualization.
• Explain the risks, limitations, and ethical implications relating to the use of different
(traditional and novel) urban data sources.
• Develop a data-driven strategy for smart cities.
• Discuss the opportunities, limitations, and ethical implications of the data-driven
strategy for smart cities, as well as potential ways to resolve them.
At the end of module 5 the students will be able to:
• Understand and apply basic project management aspects.
• Understand and apply responsible innovation project approaches for an urban context.
• Apply knowledge of key concepts of previous modules.
• Conduct independent research within a team and collaborate in a group.
• Collaborate with a project commissioner.
• Advise students in other project groups and advise project commissioners.
• Communicate effectively (format, presentation, and formulation).
• Develop an understanding of professional responsibility.
Teaching method and examination
Module 1 consists of three individual assignments. The students will make
one assignment each week. The first assignment is a paper on smart city concepts. The
second assignment is a memo in which students give advice as a smart city expert. The third
assignment combines knowledge of the entire module for an analysis of a smart city.
Assignment 1 Actors and stakeholders in the city Individual 33,3%
Assignment 2 Advising the community on a smart city experiment Individual 33,3%
Assignment 3 Ethical and political analysis of a smart city Individual 33,3%
Module 2 c onsists of two assignments. The group assignment consists of
a portfolio. Each week, the students will work on assignment about citizen participation
rhetoric, citizen participation practice and design for citizen participation respectively. Together
these assignments form the portfolio. The individual assignment is a reflection on the outcome
of the group assignments.
Assignment 1 Group portfolio Group 40,0%
Assignment 2 Individual reflection Individual 60,0%
Module 3 consists of one individual assignment: a policy brief. A policy
brief presents a concise summary of information that can help the policymaker understand,
and likely make decisions about, government policies.
Assignment 1 Policy brief for an urban policymaker Individual 100,0%
How do you get your grade for module 4?
The assessment of module 4 consists of three assignments: two reports and a presentation.
Assignment 1 Individual report Individual 50,0%
Assignment 2 Group presentation Group 5,0%
Assignment 3 Group report Group 45,0%
How do you get your grade for module 5?
The assessment of module 5 consists of five assignments: two individual peer reviews, the
final project proposal, the presentation, and the final project result.
Assignment 2 Peer review draft project proposal Individual 20,0%
Assignment 3 Final project proposal Group 10,0%
Assignment 5 Presentation Group 10,0%
Assignment 6 Peer review draft project result Individual 20,0%
Assignment 7 Final project result Group 40,0%
How do you get your grade for the minor?
- Each module has a number of graded assignments. You will get specific instructions
in each module for the assignments.
- The grade for each module is based on a bespoke calculation that may differ per
- All assignments will be handed in through Canvas, under heading ‘Assignment’.
- You need to pass every module, the average of three modules (15 EC) or five modules
(30 EC) is your final grade.
- Please note: Attendance at all sessions is mandatory. Any absence, unless properly
motivated, will result in 0.5 points deduction from the individual final grade
No final marks are given between 5.0 and 6.0 and the following rounding rules are used: a 5.5 or higher is rounded to 6.0 and a 5.49 or lower is rounded to 5.0; Outside the 5.0 - 6.0 range, final marks are expressed as a number with one decimal.
Students need to pass each module with a grade of at least 5.5 (there is no compensation) in order to complete the minor.
Each module will have its own grade composition which will be described in the syllabus for the minor
Good to know
This joint minor is offered in collaboration with Leiden University and/or TU Delft. This means education can take place at multiple locations. Want to know more about joint minors? Visit [https://www.leiden-delft-erasmus.nl/en/education/minors](https://www.leiden-delft-erasmus.nl/en/education/minors" style="color:#0563c1; text-decoration:underline).
- CreditsECTS 30
- Selection minorNo