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Hamburg COVID-19 Series

WEDNESDAY, 24/3/2021 - 4 pm

Dr. Ayan Paul (DESY) will talk about his research on SARS-CoV-2 virus.

Many scientists in the Hamburg metropolitan area are involved in research related to SARS-CoV-2 and the COVID-19 pandemic. In cooperation with the Helmholtz graduate school for Data Science in Hamburg (DASHH), the Leibniz ScienceCampus InterACt wants to increase the visibility of this research fostering new contacts and potential collaborations. Since August 12th, 2020, we are pleased to welcome many speakers and a highly interested interdisciplinary audience. The series represents unique platform for vivid exchange and takes place every two weeks with a 30-minute lecture and room for further discussions afterwards.

On Wednesday, March 24, at 4 pm Dr. Ayan Paul (Theoretical and Computational High Energy Physicist, Artificial Intelligence Researcher, Open Source Software Developer, co-founder of CoVis) will present highlights of his research on SARS-CoV-2. We are looking forward to the talk of this interdisciplinary researcher who will provide insights into how big data might help to predict immunity in the context of contact-tracing apps. The talk is entitled "On Transmission Dynamics of COVID-19: A Physicist's Perspective".

The COVID-19 pandemic has now claimed a year of our lives. I will tell a story in four parts of how this year changed our perspective of how science is practised and its impact on humankind.
I will begin with the story of the success that never came: Automated Contact Tracing. I will elaborate on why it was destined to be so and how the reasons were overlooked. However, the efforts, by no means, are wasted. I will give some insights into possible future applications in vaccination distribution and immunization and possibly building exit strategies.
The second story will be about disparities and how it affected the spread of COVID-19 in the USA. While it is a land far away, it teaches us how the most vulnerable, in terms of health and their ability to react to a crisis, should be protected if the community as a whole needs to not see the worst kind of disease spread. I will also introduce the use of interpretable machine learning in the study of transmission dynamics showcasing how there is much to learn about causation from cooperative game theory.
The third story will be on the emergence of universality in the transmission dynamics of COVID-19. Data scaling principles are resurrected from half a century back to show that there is some method in the madness and that predictability can be achieved by the application of the same physics that goes into understanding phase transitions in fluids, magnets, granular media and several other physical systems.
In the final piece, I will relay an exciting journey made to deliver the fruits of scientific research and knowledge to your phones as a direct technology transfer from COVID-19 research at DESY. The project attracted the DESY Strategy Fund and the application, called CoVis, is going live in March and will be operated by a DESY spin-off company.


For further information please contact the InterACt office or subscribe to our mailing list using the link