- Register for “Covid 19: What went wrong and how to fix it with AI and Big Data” Featuring Dr John Ioannidis, a leading scholar on data and the study of scientific research with a focus on clinical medicine.
- Hosted by Asia Times Editor Uwe Parpart
- Also featuring Dr. Jonathan Tennenbaum
- September 1, 2020, 7am Pacific Standard Time
Dr John Ioannidis, Professor of Medicine, Epidemiology and Population Health at Stanford University, has been called one of the most influential scientists alive by the Atlantic Monthly. His paper, “Why Most Published Research Findings are False”, is currently the most-accessed article at the Public Library of Science Medicine.
Dr Ioannidis, the C.F. Rehnborg Chair in Disease Prevention at Stanford, studies scientific research with a focus on clinical medicine. He has particular interest in large-scale evidence and meta-analysis, and his critique of existing research results has led him to propose improvements to methods and methods in efficient study design and analysis of biomedicine.
Asia Times Editor Uwe Parpart will host a free webinar on failures in the approach to Covid-19 with Stanford University’s Dr. John Ioannidis, a leading scholar on data and the study of scientific research with a focus on clinical medicine.