May 24–29, 2020 – Negroponte Resort, Greece
The Global Burden of Disease (GBD) study is the largest and most comprehensive scientific effort to measure epidemiological levels and trends worldwide. The Institute for Health Metrics and Evaluation (IHME) is hosting a workshop to train learners interested in the data, methods, findings, and implications of the GBD study.
This workshop aims to help introductory-level learners of the GBD develop mastery and greater fluency in GBD methods, tools, and data. In this workshop, you will learn from experts about the science behind the GBD and the study’s many applications. Throughout, you will be encouraged to participate in hands-on learning opportunities to explore key aspects of the GBD study through depth and breadth, including its analytical methods, data sources, and visualization tools. This workshop is also intended to cultivate connections, knowledge sharing, and debate between engaged practitioners and collaborators.
An important prerequisite of the workshop is completing the GBD online training, which is included in registration for the workshop.
This workshop provides the opportunity to:
- Gain in-depth knowledge of the scientific approach used in the GBD study;
- Cultivate a robust understanding of the various analytical methods utilized in the GBD study;
- Expand networking opportunities by joining the GBD collaborator network and becoming part of a large global community of researchers and policymakers;
- Learn within a community of practice of other global health practitioners dedicated to using the GBD study;
- Learn from the creators of the burden of disease approach – instructors to be announced.
This workshop is a great learning opportunity for researchers, academic leaders, policymakers, and individuals working at non-governmental organizations, foundations, country offices of health statistics, and national and multinational health organizations.
Registration will open shortly. Email [email protected] for more information about the GBD Technical workshop.