22 April 2020 • 13:30 -

ELLIS against Covid-19

The world is facing a public health emergency caused by the Covid-19 pandemic. We all need to take this on, and science can make a major contribution. This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI, carried out by leading international researchers.

Agenda

* Speakers and talk titles are subject to change

* All times in Central European Summer Time (CEST)

Time Session 1:30pm 1:35pm

Introduction

Sepp Hochreiter

1:35pm - 2:20pm

Epidemiology & modeling

Peter Grünwald (10 min): The BCG CORONA and BCG-CORONA-ELDERLY Clinical Trials.
Alessandro Betti, Marco Gori (10 min): Learning the Dynamic SIR Model: An Optimal Control Approach
Johannes Zierenberg (10 min): Inferring COVID-19 spreading rates and potential change points for case number forecasts
Questions & discussion (15 min)

2:20pm - 3:05pm

Data, privacy and ML challenges

Antti Honkela (10 min): Privacy-preserving contact statistics collection for COVID-19 epidemic management
Thomas M. Hermans and Andre Loesekrug-Pietri (5 min): The JEDI Grand Challenge
Kostas Kavoussanakis (5 min): Rapid Assistance in Modelling the Pandemic (RAMP)
Rolf Apweiler (10 min): The European COVID-19 Research Data Platform
Questions & discussion (15 min)

3:05pm - 3:30pm

Images

Victoria Schpacovitch, Katharina Morik (10 min): Resource optimising real-time analysis of artifactious image sequences for the detection of nano-objects
Plamen Angelov (5 min): COVID-19 CT Scan Classification via Explainable Deep Learning
Questions & discussion (10 min)

3:30pm - 3:35pm

Concluding discussion

Send questions and comments to the speakers here: https://forms.gle/pBohVJyVQBYNbNy36

The event will be livestreamed. You can watch it on YouTube: https://youtu.be/3VsKaiJB4Mc