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Scaling AI Access Across State Universities: A Multi-Institutional Platform Approach

Year: 2026

Type: conference-paper

Abstract: Multi-institutional AI infrastructure faces a fundamental tension: centralized solutions risk single points of failure and reduced flexibility, while decentralized approaches lead to duplicated efforts and fragmented expertise. This paper presents KI:connect.nrw, a platform addressing this challenge through distributed procurement combined with centralized infrastructure. Individual institutions maintain procurement autonomy while sharing development costs, technical infrastructure, and operational expertise.

Source: ACM SIGUCCS Annual Conference (SIGUCCS)

DOI: 10.1145/3737841.3787558

Authors: Bernd Decker, Uta Christoph, Sarah Grzemski

Institution: RWTH Aachen University

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7140211485

FWCI:

Cites: 1

Cited by: 1

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