AI Campus Hub NRW
The FernUniversität in Hagen, in cooperation with the AI Campus, is responsible for a regional hub for North Rhine-Westphalia, serving as a central point of contact and networking centre on the subject of artificial intelligence and the reuse of the AI Campus’s educational resources at universities. The AI Campus Hub NRW strengthens North Rhine-Westphalia’s position as a centre for higher education and technology through digital learning programmes and community activities. It works closely with the KI:Expertisezentrum.nrw and, amongst other things, provides advisory services as part of the BMFTR project ‘Strengthening AI Competences at Universities’.
North Rhine-Westphalia, Germany's most populous state, is home to a dense network of universities, educational institutions, businesses, and medical organisations. Our goal is to bring these diverse stakeholders together - each with their own interests and questions about AI – to foster exchange and collaboration. In this process, we identify training and continuing education needs and explore how the AI Campus’s learning opportunities can support them.
Are you looking to develop AI guidelines at your university or integrate AI into your curricula? Do you work in HR and want to strengthen your employees’ AI and data skills? Have you already found suitable offers or are there still important aspects missing? Then join the AI Campus Hub NRW. We look forward to your inquiries about collaboration at ki-campus-hub-nrw@fernuni-hagen.de.
Visit the website of the FernUniversität in Hagen for the latest news on the AI Campus Hub NRW.
Selected courses
Dr. med. KI – Seltene Erkrankungen für Ärztinnen und Ärzte
AI for lecturers: Generative AI in the higher education context
Generative KI für Abschlussarbeiten
Selected blog posts
Experts
Dr. Susanne Podworny is a research associate in the Didactics of Mathematics working group at the Faculty of Electrical Engineering, Computer Science and Mathematics at the University of Paderborn.
Beate Rhein is Professor of Applied Mathematics and Machine Learning at the Cologne University of Applied Sciences. She has been teaching and researching in the field of data mining for many years, especially in its application in energy technology.
PD. Dr. Daniel Paech is a board certified radiologist and neuroradiologist (diagnostic & neuro-interventional). He currently works as senior physician at the Clinic for Neuroradiology, University Hospital Bonn. He is also heading a research group (Neuro-Oncology Imaging) focusing on the development and clinical translation of novel imaging technologies.
Research interests: Oncologic Imaging, Neuroimaging, Metabolic Imaging, Artificial Intelligence (AI), Ultra-high field MRI, Medical education
My Master of Medical Education degree from 2006 to 2008 was the starting point for a series of innovations in teaching, which I have researched intensively with my team. The focus of my work is on the acquisition of clinical reasoning skills, digital teaching/learning formats, the impact of examinations on learning behaviour and processes, and teaching evaluation. As a clinician, I know the challenges that teachers face at a maximum care hospital. That is why we develop our teaching concepts in close consultation with the teaching staff.