[Forum SIS] R: Datathon on Covid-19

[Luigi Biggeri]

Bene Giorgio 

Luigi

---
Emeritus Professor
of Economics Statistics
Department of Statistics - DISIA 
University of Florence, Italy
Mobile Phone: +39 3204248773 

Il Martedì 31/03/2020 13:39 Giorgio Tassinari ha scritto:

> 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 [1]
> 
> -------------------------------------
> 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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Links:
------
[1] http://www.unibo.it/sitoweb/fabrizio.lillo
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