(in Polish) Ekonomia smart city 2400-ZEWW891-OG

Schedule:
1. History of cities’ development, transformation of their functions, good and bad aspects of city life.
2. City as a complex organism: inhabitants, firms, administration. Connections and interrelations. Contemporary trends in urban development, globalization and urbanization.
3. Sustainable development, cities in the face of climate change, consequences of urban development. Big cities - a big problem?
4. New technologies in the city - data and their use in city services. Examples of intelligent services.
5. The appropriate use of data for the integrated management of urban services. Acquisition and use of data - the city as a platform connecting people, space and things. Examples of integrated solutions.
6. Data sources and data acquisition infrastructure. How to combine data from different sources. How to share data, how to use data for the provision of services. (IoT => Big Data => AI). Legal and organizational problems.
7. Digital exclusion: access to technology, education and supply of equipment. Lack of knowledge, lack of will and lack of motivation. The threat of growing social stratification.
8. Aging society: social and professional activation of elderly people, organization of care and support systems, adaptation of cities to the needs of the elderly.
9. New technologies and social problems - crime, poverty, social exclusion
10.Financing the development of Smart City - where cities can obtain funds (a brief overview of the main sources of city financing, debt financing problems).
11. Public-private partnership as a mechanism to obtain funds and know-how of private entities. Examples of PPP in the implementation of smart urban projects
12. Cities as an element of multilevel governance in the public sector. Problems of implementing the smart city concept in conditions of limited fiscal decentralization.
13-15 Student presentations

Type of course

general courses

Course coordinators

Term 2024Z:

Agnieszka Kopańska
Grzegorz Kula
Anna Nicińska

Term 2023Z:

Agnieszka Kopańska
Grzegorz Kula

Learning outcomes

The student has knowledge of the contemporary problems of cities and smart city as a way of dealing with these problems.
The student knows how new technologies can be used to manage the city
The student is able to name, analyze and look for solutions to the problems of modern cities with the use of new technologies
The student is able to independently and working as a team create and present the results of his own literature analyzes
The student is ready to use his knowledge of smart city by actively participating as a resident, as well as an employee of the city or private company in city management.

Assessment criteria

Metody i kryteria oceniania The basis for passing and the final grade will be the average of two grades: grades from partial tests; evaluation of the presentation. To pass the course, it is necessary to get a positive grade for each of these elements.
A quick test will summarize each block of classes. We plan 3-4 tests per semester. We will score each test as a percentage, absent is 0%. Finally, the average of the partial grades achieved will be calculated. (0-50% -2, 50% -60% - 3, 60% -70%; 3 +; 70% -80% - 4; 80% -90% 4 +; 90% -100% 5)
Two (or three, depending on the size of the group) classes will be devoted to student presentations. The presentations will show examples of smart city solutions. The presentations can be prepared independently or, with a large group of students, in teams of two.

Bibliography

The literature on these issues is very extensive and will be constantly updated with newly published articles, books, reports, Examples of items are:
Agile Cities: Preparing for the Fourth Industrial Revolution, Global Future Council on Cities and Urbanization, World Economic Forum (2018).
Gehl Jan, Życie między budynkami, Wydawnictwo RAM, 2009
Łachowski Wojciech, Janas Karol, 2021, Zarządzanie danymi w miastach. Podręcznik dla samorządów, Kraków-Warszawa 2021, Wydawnictwo naukowe IRMiR
McKinsey Global Institute, Smart cities: digital solutions for a more livable future, McKinsey&Company, 2018
Montgomery Charles, Miasto szczęśliwe, Wysoki Zamek, 2015
Sim David, Miasto Życzliwe, Wysoki Zamek 2020
WHO, Global age-friendly cities, 2007
Wójcik Piotr, Kula Grzegorz. Big Data, Artificial Intelligence, and the sustainable development of cities…… in the (post) COVID-19 era. 2021or press publications.

Additional information

Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 2400-ZEWW891-OG in USOSweb