[Forum SIS] R: Datathon on Covid-19

[Fabrizia Mealli]

A proposito della locuzione latina  di Giorgio, io non so neanche come
commentare questo articolo uscito ieri su diverse testate....
https://scienze.fanpage.it/quando-saranno-azzerati-i-contagi-da-coronavirus-in-italia-la-previsione-per-ogni-regione/

Fabrizia

Il giorno mar 31 mar 2020 alle ore 13:40 Giorgio Tassinari <
giorgio.tassinari a unibo.it> 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
>
> -------------------------------------
> 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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-- 







*Fabrizia Mealli, PhDProfessor of StatisticsDepartment of Statistics,
Computer Science, Applications "Giuseppe Parenti" - University of
Florencehttp://local.disia.unifi.it/mealli/
<http://local.disia.unifi.it/mealli/>Director of the Florence Center for
Data Sciencehttp://datascience.unifi.it/ <http://datascience.unifi.it/>*
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