[Forum SIS] R: Datathon on Covid-19

[Luigi Biggeri]

Grazie Fabrizia di averlo segnalato! 

Luigi

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

Il Martedì 31/03/2020 14:27 Fabrizia Mealli ha scritto:

> 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 [1]
>> University website: www.unibo.it/sitoweb/fabrizio.lillo [2]
>> 
>> -------------------------------------
>> 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, PhD
> 
> Professor of Statistics
> Department of Statistics, Computer Science, Applications "Giuseppe Parenti" - University of Florence
> http://local.disia.unifi.it/mealli/
> 
> Director of the Florence Center for Data Science
> http://datascience.unifi.it/ 
> _______________________________________________
> Sis mailing list
> Sis a stat.unipg.it
> http://www.stat.unipg.it/mailman/listinfo/sis
 

Links:
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[1] http://fabriziolillo.wordpress.com
[2] http://www.unibo.it/sitoweb/fabrizio.lillo
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