The 7th RUHR School of Modern Epidemiology will take place from July 7–10, 2026 at the Haus der Technik in Essen. This year’s theme, “Applied Epidemiologic Analysis for Causal Inference,” focuses on strengthening both the theoretical foundations and practical application of causal methods in empirical research 📊.

The course will be led by Katherine Lesko (Johns Hopkins University), a renowned expert in causal inference known for her outstanding teaching and ability to translate complex methodology into hands-on analytical practice.

Over four intensive days, participants will explore key concepts such as causal identification conditions, potential outcomes, structural causal models (including DAGs), the target trial framework, estimands, target population principles, and g-methods. The program combines theory with practical “paper and pencil” exercises and hands-on computer labs using R or SAS 💻✏️. The goal is to equip attendees with the skills to confidently apply causal inference methods in their own studies.

The RUHR School is particularly relevant for professionals and researchers in clinical and epidemiological research, medical data science, and machine learning who aim to draw robust causal conclusions from empirical data 🔬.

Registration is open until June 2, 2026. Further details on course content and enrollment are available via the official RUHR School website.

Summer School on Evidence-Based Public Health
📅 Five-day intensive programme | 📍 Munich, Germany

Public health professionals, researchers and decision-makers from across Europe are invited to join this immersive Summer School dedicated to advancing evidence-based public health 📊🌍.

Designed for mid-career professionals, PhD candidates and researchers working on systematic reviews, guideline development and complex public health interventions, the programme provides both conceptual foundations and hands-on training. Participants will deepen their understanding of complexity perspectives, logic models, evidence synthesis methods, meta-analysis, Risk of Bias (RoB) tools and the GRADE approach, as well as the growing role of AI in strengthening systematic reviews.

Through interactive lectures, small-group exercises and practical sessions, attendees will build skills in critically appraising systematic reviews, applying evidence-to-decision frameworks, and translating knowledge into policy and practice 💡. The programme also emphasizes stakeholder engagement and effective knowledge translation strategies to bridge research and real-world impact.

Beyond the academic sessions, participants will connect with peers from diverse public health institutions and enjoy social activities, including a guided public health walk through Munich and a Summer School dinner 🤝✨.

Registration is open from 15th January 2026. Please register using this registration form.