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DTSTAMP:20260403T193557Z

DTSTART:20260720T090000
DTEND:20260724T190000
SUMMARY:6th European Summer School in Evidence-Based Public Health 2026
DESCRIPTION:Summer School on Evidence-Based Public Health<br data-start="49" data-end="52" />📅 Five-day intensive programme | 📍 Munich, Germany\nPublic health professionals, researchers and decision-makers from across Europe are invited to join this immersive Summer School dedicated to advancing evidence-based public health 📊🌍.\nDesigned 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.\nThrough 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.\nBeyond 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 🤝✨.\nRegistration is open from 15th January 2026. Please register using this registration form. \n 

X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN">\n<HTML>\n<HEAD>\n<META NAME="Generator" CONTENT="MS Exchange Server version 08.00.0681.000">\n<TITLE></TITLE>\n</HEAD>\n<BODY>\n<!-- Converted from text/rtf format -->\n\n<p data-start="0" data-end="106"><strong data-start="0" data-end="49">Summer School on Evidence-Based Public Health</strong><br data-start="49" data-end="52" />📅 Five-day intensive programme | 📍 Munich, Germany</p><br /><p data-start="108" data-end="296">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 📊🌍.</p><br /><p data-start="298" data-end="787">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.</p><br /><p data-start="789" data-end="1178">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.</p><br /><p data-start="1180" data-end="1400" data-is-last-node="" data-is-only-node="">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 🤝✨.</p><br /><p data-start="1180" data-end="1400" data-is-last-node="" data-is-only-node="">Registration is open from 15th January 2026. Please register using this <a href="https://ihrs-en.ibe.med.uni-muenchen.de/events/ebph-summer-school/registation_form-2026.pdf">registration form. </a></p><br /><p data-start="1180" data-end="1400" data-is-last-node="" data-is-only-node=""> </p>\n\n</BODY>\n</HTML>

LOCATION:Kardinal-Wendel-Haus, Gunezrainerstraße, Alt-Schwabing, Schwabing, Schwabing-Freimann, München, Bayern, 80802, Deutschland
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