We turn 30 this year!
23-28 August 2021
We hope you will join us, online
At the SSPH+ Summer School public health professionals, researchers and graduate students learn together through mutual exchange in a stimulating and beautiful environment. The SSPH+ LSS places health, disease, and health systems thinking under one common framework of coherent concepts and practical implications. The focus on public health policy, economics and management combined with the diversity of students and facilitators has provided for a rich learning environment for over 2 decades so far. The insights gained and networks created serve as an opportunity to reduce and prevent the gap between public health theory and practice.
We will meet online this year and the programme is being developed. We are annoucing courses and plenaries as they are confirmed, so see below and stay tuned.
- 1 day courses
- 3-day courses
- plenary lectures on hot topics by experts each day
- daily networking activities through online poster sessions, meetings with experts and chat sessions
some 1 day, some spread out with a few hours over multiple days
Is Breathing killing us? Tackling Air Pollution using science for policies to protect health
meets 2 hours a day M-W
Applied Health Economics
Systems analytics. Data driven decision making made easy
Jo-An Atkinson | Ante Prodan | Mark Heffernan | Adam Skinner
*This course is supported by the Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney.
* This course is supported by the Computer Simulation & Advanced Research Technologies (CSART).
Strategic Project Management
Axel Hoffman | TBC
Community-based Participatory Methods in Public Health: Understanding, Informing, and Co-creating
Nadina Luca | Amalia Pesantes
Generating Demand for better public health goods and services: A systems and consumer centered approach
Rowena Merritt | Kalpana Beesabathuni | Breda Gavin-Smith | Puja Peyden Tshering
*This course is sponsored by Sight and Life
Policy Options on Mental Health
Emiliano Albanese | Benedetto Saraceno | Marta Fadda | Dzmitry Krupchanka
Lessons to be learned from the pandemic spread of the influenza outbreaks in Switzerland, 1889, 1918, and 1957
Kaspar Staub, Evolutionary Institute, University of Zurich
Machine learning techniques in personalized disease prediction
Ming Chang, Department of Clinical Research, University of Basel