[Zaproszenie] Wirtualne Seminarium ICM poświęcone przewidywaniom rozwoju epidemii COVID-19 w Polsce

Wirtualne Seminarium ICM poświęcone przewidywaniom rozwoju epidemii COVID-19 w Polsce_21.05.2020

Już w czwartek, 21 maja, zapraszamy na wykład specjalny w ramach cyklicznych Wirtualnych Seminariów ICM z Nauk Obliczeniowych i Informatyki, poświęcony przewidywaniom rozwoju epidemii COVID-19 w Polsce i zatytułowany: “Predicting the course of the COVID-19 epidemic in Poland”.

Wykład zostanie wygłoszony przez dr Franciszka Rakowskiego, badacza ICM i specjalisty z firmy Samsung R&D Polska.

Czas i miejsce: 21 maja 2020, godz. 16:00, ONLINE

Bezpłatna rejestracja: https://supercomputingfrontiers.eu/2020/tickets/neijis7eekieshee/

 

Do udziału w Wirtualnych Seminariach ICM z Nauk Obliczeniowych i Informatyki zapraszamy media, naukowców, studentów oraz wszystkich zainteresowanych.

Wszystkie poprzednie wykłady można obejrzeć na stronie:
https://supercomputingfrontiers.eu/2020/past-seminars/
Seminaria otwarte są na cały świat i odbywają się w języku angielskim.


INFORMACJA W JĘZYKU ANGIELSKIM

TITLE: Predicting the course of the COVID-19 epidemic in Poland

SPEAKER: Franciszek Rakowski, affiliated Researcher at ICM University of Warsaw; principal Data Scientist at the AI institute, Samsung R&D, Poland

DATE&TIME: Thursday, May 21, 2020 at 4:00 PM (CEST)

PLEASE REGISTER AT: https://supercomputingfrontiers.eu/2020/tickets/neijis7eekieshee/

ABSTRACT
One of the most promising approaches to predicting the possible scenarios of the epidemic is based on agent-based models. The idea of that model family is quite simple: reproduce the demographic and sociological structure of the society, and run the simulations of the disease spread throughout that structure. The direct reproduction of the contact structure allows investigating the consequences of various administrative measures applied, like school closure or travel restrictions. The model results can be visualised as a dynamic map of spreading disease, and enables the assessment of burden of disease factors locally. Our model, constructed more than 10 years ago for influenza epidemics, has been reanimated and tuned to COVID-19 parameters. It is now producing both scientific results as well as pragmatic reports, which are then being passed to Polish governmental authorities.

SPEAKER’S BIO
FRANCISZEK RAKOWSKI: Affiliated Researcher at ICM University of Warsaw. Principal Data Scientist at the AI institute, Samsung R&D, Poland. Almost 10 years ago, when working at ICM UW as researcher, he led a project to construct a large-scale agent-based epidemic spread model for influenza disease. Recently, during the times of COVID-19 pandemic, he became the project leader of development and adaptation of the ICM Epidemic Model to the coronavirus disease. His interests also cover cognitive science, neuroscience and computational biology.


[Aktualizacja 22 maja 2020]


FOOTAGE OF ALL PREVIOUS Virtual ICM Seminars in Computer and Computational Science CAN BE FOUND HERE: https://supercomputingfrontiers.eu/2020/past-seminars/

  • Cathrine McGeoch, What do we know about performance of quantum annealing systems?
  • Simon Mutch, HPC Simulations of the early Universe
  • Michael Bussman, The discovery machines – how supercomputers will shape the future of data-driven science
  • Erol Gelenbe, A Dynamic Self-Aware Approach to Cybersecurity
  • Scott Aaronson, Quantum Computational Supremacy and Its Applications