[Forum SIS] R: Datathon on Covid-19

[Giorgio Tassinari]

Abyssus abysum vocat!
GT
________________________________
Da: sis-bounces a stat.unipg.it <sis-bounces a stat.unipg.it> per conto di Domenico Marinucci <marinucc a axp.mat.uniroma2.it>
Inviato: martedì 31 marzo 2020 12:25
A: sis a stat.unipg.it <sis a stat.unipg.it>
Oggetto: [Forum SIS] Datathon on Covid-19

Ricevo ed inoltro, domenico marinucci


Dear colleagues,

please find below the announcement of a Datathon (real-time forecasting
competition) on Covid-19 just started.

Feel free to distribute to all interested parties.

Best regards,

Fabrizio Lillo
Dipartimento di Matematica
Università di Bologna
ITALY

Personal website: fabriziolillo.wordpress.com
University website: www.unibo.it/sitoweb/fabrizio.lillo<http://www.unibo.it/sitoweb/fabrizio.lillo>

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Announcement and call for participation at Real-time Epidemic Datathon
https://www.epidemicdatathon.com

Real-time Epidemic Datathon is a collective open-source real-time
forecasting challenge aimed at joining forces to push modeling limits
further for real-time epidemic forecasting at large scale. Organized by
ETH Zürich, UCLA, EU SoBigData++ project, NYU COURANT, and other partner
organizations. The goal of this project is to bring together researchers
and students from different disciplines (e.g., computer science,
epidemiology, physics, statistics, applied math, ...) and advance
real-time epidemic modeling frameworks. We provide a platform for
scientific exchange and discussion. Participating teams can submit
predictions of COVID-19 case evolutions in different countries and
evaluate/compare their modeling approaches.

Who can join? Everyone can join and contribute in various ways: (i)
register as a developer (individual or with a team) of a real-time
epidemic forecasting model, (ii) register and monitor scientific
developments (see our disclaimer section), or (iii) share the news about
this event and help us to reach more contributors.
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