Program Overview

Program Overview

The Innovation Lab: Datengetriebene Kooperations- und Geschäftsmodelle in der Industrie is a course offered by the Humboldt University of Berlin. This program focuses on the strategic use of external knowledge and data resources by industrial companies to drive innovation, meet sustainability requirements, and manage increasing production complexity.

Course Details

• Instructors: Prof. Thomas Kosch, Christian Doyé Siemens, Anett Lommatzsch
• Credits: 5
• Description: This course addresses how data can be used as a basis for new cooperation forms, user-friendly interfaces, and flexible business models along the production chain, from production to suppliers and customers. A particular focus is on the usability of industrial interfaces and the interpretation of sensor data.
• Objectives: Upon successful completion, students can analyze data availability and restrictions in an industrial context, design business and cooperation models based on data, communicate with AI agents for interoperability evaluation, develop strategies for flexible and combinable business models, identify stakeholder networks for innovation promotion, and apply usability principles to industrial interfaces.

Course Content

• Data as a production resource: access, availability, rights
• Platform economy in manufacturing
• Circular economy through data-driven cooperation
• Usability and interface design for industrial applications
• Design and interpretation of sensor data for users in manufacturing
• Business model development methods (Design Thinking, creativity techniques)
• Introduction to rapid prototyping and implementation of low-fidelity designs
• Analysis of industrial application cases (e.g., semiconductor manufacturing, water treatment)

Methods

• Interdisciplinary team work
• Design Thinking
• Usability and interface analysis
• Market and stakeholder analysis
• User-centered problem analysis and ideation
• Prototyping workshops: rapid development and testing of concepts
• Pitch presentations and feedback from practice partners like Siemens

Target Group

Master's students of all disciplines with an interest in digital transformation, data-driven value creation, usability engineering, and strategic innovation development.

Requirements for Earning Credits

• Active participation (mandatory)
• Team project including final presentation
• Project report (team effort)
• Reflection report on the learning process (individual effort)

Language

The seminar languages are German and English.

Additional Information

This course is part of the Masterplan Industriestadt Berlin and is limited to 15 participants. Early registration is recommended.