Projects
The AI Campus is a joint initiative that creates unique structures for educational innovation at regional, national and European level. Our work is divided into several projects that strengthen AI and data competences through innovative, digital learning opportunities. Ongoing as well as already completed projects, coordinated by the AI Campus office at the Stifterverband, are listed on this page.
Duration: 2024 - 2030
Project partner: Stifterverband
Supporter: Mercedes-Benz Fund
The co-funding by the Mercedes-Benz Fund is intended to contribute to the sustainable and long-term broad impact of the AI Campus. With this, the Mercedes-Benz Fund is engaged as an anchor partner for AI Campus 3.0 with a duration until 2030. As part of the collaboration, new impulses will be set in the area of “AI as a broad competence”, and learning opportunities as well as further formats for AI training and continuing education will be developed.
Duration: 2026 - 2029
Project partners: Stifterverband, RWTH Aachen, Humboldt University of Berlin, German Research Center for Artificial Intelligence (DFKI), Baden-Württemberg Cooperative State University (DHBW), Heinrich Heine University Düsseldorf (HHU), FernUniversität in Hagen, Technical University of Munich (TUM), University of Tübingen
Funding body: Federal Ministry of Research, Technology and Space (BMFTR)
With the EU AI Act, new requirements for the competent use of AI in higher education have become binding. The project "Strengthening AI competences at universities" addresses these requirements and creates free offers for all status groups at universities in Germany. A central focus of the nationwide consortium led by the Stifterverband is on cross-institutional and cross-regional synergies and strategic decisions in order to permanently embed AI competences in study, teaching and administration. The Federal Ministry for Research, Technology and Space is funding the project as part of the Hightech Agenda Germany.
Duration: 2022 - 2029
Project partners: including Stifterverband, Baden-Württemberg Cooperative State University (DHBW), Heilbronn University, Technical University of Munich (TUM), Fraunhofer IAO
Funder: Dieter Schwarz Foundation
The AI Campus Hub Baden-Württemberg is part of a comprehensive AI ecosystem that is being created with the Innovation Park for Artificial Intelligence (Ipai) in Heilbronn. The Hub strengthens Baden-Württemberg as a centre for AI innovation with digital learning opportunities on the topic of artificial intelligence and a wide range of community activities.
Duration: 2024 - 2026
Project partners: Stifterverband, IBM SkillsBuild
Funder: IBM
As part of the Education for the Future initiative, Stifterverband, IBM and the AI Campus are joining forces to specifically promote the sovereign use of AI in educational institutions and the world of work. The focus of the collaboration is on joint learning opportunities and certificates from IBM SkillsBuild on the AI Campus.
Duration: 2023 - 2024
Project partners: Stifterverband, Charité, German Research Centre for Artificial Intelligence (DFKI), Baden-Württemberg Cooperative State University (DHBW), FernUniversität in Hagen, Hasso Plattner Institute (HPI), Humboldt University of Berlin, mmb Institut, NEOCOSMO
Funder: Federal Ministry of Education and Research (BMBF)
The second funding phase took place from 2023 to 2024 with an expanded consortium and a focus on strategic partnerships. Central to this was the development and testing of sustainable implementation concepts for the AI Campus, featuring open learning opportunities, communities, and technologies for science and practice.
Duration: 2019 - 2022
Project partners: Stifterverband, German Research Centre for Artificial Intelligence (DFKI), Hasso Plattner Institute (HPI), mmb Institute, NEOCOSMO
Funding body: Federal Ministry of Education and Research (BMBF)
As a digital learning platform specialising in AI, the AI Campus was funded from 2019 to 2022 in an initial pilot phase by the Federal Ministry of Education and Research (BMBF) as part of the Federal Government’s AI Strategy. The central aim was the prototype development of the platform.