“VALIDATE-VET: Advancing diagnostic test evaluation for animal health”

Freie Universität Berlin: Prof. Dr. Marcus Doherr (Institute for Veterinary Epidemiology & Biostatistics)

University of Melbourne: Prof. Simon Firestone (Melbourne Veterinary School)

Knowledge on the validity of diagnostic test systems is an essential component of (animal) disease surveillance. During a training and grant preparing workshop, the research teams will harmonise validation‑for‑purpose methods across institutions by agreeing on shared definitions, model choices (including Bayesian latent‑class frameworks), advances from recent projects (EU COST HARMONY, UoM), reporting standards, and avenues for future research.

 

“Synergy across syndemics, epidemiology and viral diagnostics”

Charité - Universitätsmedizin Berlin: Prof. Dr. Leif Sander (Department of Infectious Diseases, Respiratory Medicine and Critical Care Medicine)

University of Melbourne: Dr. Lynette Beattie (Department of Microbiology and Immunology)

The joint Charité / Doherty Institute of Infection and Immunity workshop brings together leading researchers from Berlin and Melbourne to develop a trans‑national program on (i) infection‑driven non‑communicable disease mechanisms, (ii) AI‑driven patterns and risk analysis, and (iii) viral evolution and rapid diagnostics. An open expression of interest process will ensure gender‑balanced, diverse participation from both institutions. The workshop will map expertise and produce draft proposals for different funding schemes (e.g. DFG CRC/IRTG, ARC).

 

“New Frontiers in Learning-Augmented Algorithms”

Technische Universität Berlin: Dr. Franziska Eberle (Institut für Mathematik) and Dr. Alexander Lindermayr (Institut für Mathematik / Organisation)

University of Melbourne: Dr. William Umboh (School of Computing and Information Systems)

In learning-augmented algorithms, data-driven approaches are used to predict the uncertain future, a natural scenario in many real-world applications. They improve, e.g., online decision making, while ensuring worst-case performance guarantees when predictions are inaccurate. Over the last decade, this subfield has bridged algorithm theory and machine learning. This workshop aims to define the next phase of learning-augmented online algorithms.

 

“Preparing Future Teachers for Democratic Resilience: Professional Responsibility in

International Teacher Education” (PREP-TE)

Humboldt-Universität zu Berlin: Dr. Julia Frohn (Professional School of Education)

University of Melbourne: Prof. Daniela Acquaro (Faculty of Education - Centres and

Institutes)

The project “Preparing Future Teachers for Democratic Resilience: Professional Responsibility in International Teacher Education” (PREP-TE) explores how international teacher education can strengthen critical engagement among future teachers in increasingly complex social contexts. Through a structured and interdisciplinary dialogue, researchers from HU Berlin and the University of Melbourne will develop a joint research framework in order to foster sustainable academic collaboration on the topic.