SICP - Software Innovation Campus Paderborn
The SICP - Software Innovation Campus Paderborn is an interdisciplinary research and innovation campus. The digital solutions of the future are developed here in close cooperation between business and science.
More than 30 member companies and over 30 professors from Paderborn University contribute their expertise and visions. The SICP unites the different worlds and ensures perfect matches when putting together project teams. We combine our expertise in the fields of AI, high-performance computing, IoT, digital security and software engineering to break new ground and develop intelligent solutions for innovative fields such as smart energy, advanced computing and seamless mobility.
In addition to the technological focus, we always address cross-cutting issues such as technology acceptance and human-machine interaction. Because we are convinced that only the intelligent combination of established technologies creates innovation!
SICP magazine "update
The "update" magazine is aimed at everyone who wants to know what is happening at the SICP - members and those who would like to become members, current and potential partners, i.e.: member companies and their employees, professors, employees and students of the SI-Lab and all interested parties in society, politics, companies, universities and research institutions. Subscribe to our SICP magazine here free of charge.
Projekte
TRR 318-2 - Project A05: Contextualized and online parametrization of scaffolding in human–robot explanatory dialog
Negation and verbal contrast are important means of scaffolding. When negations are provided during explaining joint actions, they link the present knowledge about actions to those that have been performed in the past. We continue to develop scaffolding strategies for a dialog with a social robot in a joint action setting. Our long-term objective ...
Duration: 01/2026 - 06/2029
TRR 318-2 - Project B06: Ethics and normativity of explainable AI
B06 investigates the normative purposes of XAI. In the first funding period we have established that there are many different normative grounds for XAI. To assess them, it is necessary to take the organizational context of XAI into account. To that aim, media studies will clarify the organizational context in which XAI is embedded, where this ...
Duration: 01/2026 - 06/2029
TRR 318-2 - Project C01: Explanations for healthy distrust in large language models
Since ML models have limitations, human ability to question and distrust their decisions is crucial for human-AI-interaction. C01 established a common terminology for distrust, demonstrated that distrust is not easily fostered, and developed novel machine learning algorithms to identify and explain model uncertainty. We will now develop ...
Duration: 01/2026 - 06/2029













