Peer-to-Peer AI Network Meeting at the LSC Digital Public Health Bremen

On April 4, 2025, the Leibniz Institute for Prevention Research and Epidemiology – BIPS hosted the Peer-to-Peer Artificial Intelligence (AI) Network. This monthly event, organized by the U Bremen Research Alliance, offers experienced researchers from its member institutions a platform to exchange ideas on AI and its applications. This time, Professor Dr. Hajo Zeeb provided insights into the two funding phases of the Leibniz ScienceCampus Digital Public Health Bremen, followed by a discussion with attending experts about a potential follow-up project.

By Merle El-Khatib/ Maren Emde

08 Apr 2025

(Photo) Professor Dr. Hajo Zeeb presents the Leibniz ScienceCampus Digital Public Health Bremen.   © Michaelis / UBRA

Professor Dr. Hajo Zeeb, Head of the Department of Prevention and Evaluation at Leibniz-BIPS and spokesperson for the Leibniz ScienceCampus Digital Public Health Bremen (LSC DiPH), Professor Dr.-Ing. Horst K. Hahn, spokesperson for the UBRA lead project Artificial Intelligence (AI) and Director of Fraunhofer MEVIS, and Dr. Monika Michaelis, coordinator of the UBRA lead project Artificial Intelligence (AI), welcomed the participants. To open the meeting, Professor Zeeb gave an overview of the first funding phase of the LSC DiPH. The LSC DiPH unites a large network in Bremen, which was expanded to Oldenburg in the second phase, focusing on health sciences. Public Health aims to promote and improve the health of individuals and communities through collective social efforts. Recently, a variety of digital technologies have emerged that pursue the same goal. At LSC DiPH, researchers investigate how digitalization can support public health. Key questions include how different population groups can access and use these technologies (health literacy) and how the digital divide can be addressed.

Given the rapid growth in digital health technologies, a systematic framework is needed to assess their impact from a public health perspective. One such framework was developed during the first funding phase. It supports developers, evaluators, decision-makers, and researchers in the systematic development and evaluation of digital public health interventions. A public health intervention is any initiative or policy aimed at improving mental and physical health at the population level. The LSC DiPH Framework offers a comprehensive overview of criteria for evaluating digital public health interventions. These criteria are framed as open-ended questions and organized into topic areas that guide interested stakeholders through a wide range of key aspects involved in developing and evaluating digital public health interventions.

Building on the first phase, which focused on exploring the concepts and application areas of Digital Public Health (DiPH), the second funding phase focuses on putting those insights into practice and testing them in real-world settings. The goal is to address concrete public health challenges and contribute sustainably to the population's health. As a current use case from the second phase, Professor Zeeb presented a study on digital tools for tobacco prevention.

Dr. Laura Maaß presents findings from her dissertation.   © Schönfeld / UBRA

Dr. Laura Maaß demonstrated that Digital Public Health must also take the health system as a whole into account. She completed her doctoral studies during the first funding phase of LSC DiPH and now works as a postdoc on the campus. In her dissertation, she developed a tool that evaluates how prepared a health system is for digitalization, including all areas of public health in the maturity assessment, such as technological infrastructure, legal frameworks, and social factors.

The subsequent discussion with the participants focused on the planned proposal for a follow-up project to the LSC DiPH. Professor Zeeb introduced current ideas in the field of “digital prevention.” The expert panel aimed to identify areas of overlap and synergy to make optimal use of and expand the resources and infrastructure within the member institutions  of  the U Bremen Research Alliance. The participants contributed a wide range of perspectives, and the exchange was lively.

A concluding get-together provided further opportunities for networking and successfully wrapped up the Peer-to-Peer AI Network meeting hosted by the U Bremen Research Alliance.

Network Meetings

The meetings of the Peer-to-Peer Network Artificial Intelligence take place every first Friday of the month from 12:00 to 13:30 and are open for experienced researchers of all members of the U Bremen Research Alliance. If you are interested, please contact the coordinators Dr. Monika Michaelis.

Overview of scheduled meetings in 2025:

07.02.2025Biosignal-Hub (Prof. Dr.-Ing. Tanja Schultz)
07.03.2025AI4Prevention (Prof. Dr.-Ing. Horst K. Hahn)
04.04.2025LSC Digital Public Health (Prof. Dr. Hajo Zeeb)
06.06.2025Small Data (Dr. Felix Putze)
05.09.2025UBRA / LAC IJCAI zu den Planungen  
(Prof. Dr.-Ing. Tanja Schultz, Prof. Dr. Dr. h.c. Frank Kirchner)
07.11.2025Metamaterialien (Dr. Dennis Phillip)