Data-driven Solution for the Smart City Hamburg

D2S2C Hamburg - Overview

In the project "Data-driven Solutions for the Smart City Hamburg" (D2S2C Hamburg) , students of the MIN faculty have the opportunity to work on different use cases in groups in a practice-oriented environment to develop intelligent prototypes with the help of innovative technologies such as machine learning.

In this process, the students are supported by the lecturers and cooperation partners from business and public administration, who provide data and information for this purpose and are part of the agile development process. The seminar is initiated and led by Marten Borchers from the AG WISTS at the University of Hamburg and accompanied by Simon Jordan. In the summer semester of 2022, the seminar successfully collaborated with HOCHBAHN, HSV/Future Dock, and the State Office for Geoinformation and Measurement, and four use cases related to Smart City were elaborated.

CooperationenPrototypes & Results

The educational objective of the project is to promote students' data literacy, confident use of development environments, innovative technologies, tools for agile development of smart prototypes, and business communication.

At the beginning of the semester, students can choose an interesting use case and thus follow their intrinsic motivation. In the first appointments, the theoretical basics are taught that are relevant for the processing of the use cases. This concerns in particular the technical basics in the areas of artificial intelligence, data science, machine learning, and smart city. Furthermore, additional content in project and requirements and process management will be taught. This will also build a shared knowledge base, which may vary due to the interdisciplinary organization of the project, whereby all disciplines of the MIN faculty may be represented. During the project, this knowledge is applied and deepened, e.g., to support the coordination within the team and the division of work packages in the context of the creation of the prototypes.

The students spend a major part of the teaching project implementing a user-oriented solution, which is discussed, designed, and regularly presented with the cooperation partners, e.g. to discuss questions or the implementation of new features. They are supported by the lecturers, who offer assistance for content-related or organizational challenges as needed. The seminar concludes with the presentation of the final results, in which the students present the prototypes to the course participants and the cooperation partners in the plenary session. Finally, the insights gained from the project will be documented in a report.

The teaching project is supported by the Digital and Data Literacy in Teaching Lab, which, as part of the University of Hamburg, is committed to helping students develop a critical and reflective understanding of how to handle and analyze data.