CIFAR/ELLIS Discussion on Contact Tracing
 
Virtual Meeting: Please register by June 19
New Registration

CIFAR/ELLIS Discussion on Contact Tracing 

Tuesday, June 23, 2020 at 12:00 pm- 2:00 pm EDT

 


 

Agenda


12:00 - 12:15 - Welcome and informal chat 
12:15 - 12:20 - Introduction from CIFAR & ELLIS
12:20 - 12:40 - Lenka Zdeborova and Alfredo Braunstein (15 min talk + 5 min discussion)
12:40 - 13:00 - Ralf Herbrich (15 min talk + 5 min discussion)
13:00 - 13:20 - Manuel Gomez Rodriguez (15 min talk + 5 min discussion)
13:20 - 13:35 - Kevin Murphy (10 min talk + 5 min discussion)
13:35 - 14:00 - Final discussion and closing remarks

Overview

As several research groups are working in parallel on various approaches to contact tracing apps that could allow us to carefully move away from the extreme social distancing/lockdowns and reopen the economy while avoiding another wave of COVID-19 pandemics and saving thousands of lives (i.e. 'smart' social distancing), CIFAR and ELLIS are partnering to host a joint discussion. There are many challenges not least of which include privacy, risk estimation accuracy, scalability and efficiency, stability and robustness of the proposed approaches to various sources of noise or malicious attacks, and the sheer complexity of arriving at policies that allow for optimal trade-offs across multiple individual vs. societal objectives - a truly multiscale and multicriteria optimization problem. 

The workshop will take place from 12pm-2pm on Tuesday June 23, 2020. 

 

About CIFAR

CIFAR is a Canadian-based, global charitable organization that convenes extraordinary minds to address science and humanity's most important questions. By supporting long-term interdisciplinary collaboration, CIFAR provides researchers with an unparalleled environment of trust, transparency and knowledge sharing. Our time-tested model inspires new directions of inquiry, accelerates discovery and yields breakthroughs across borders and academic disciplines.

About Ellis

ELLIS (European Laboratory for Learning and Intelligent Systems) is a European AI network of excellence. It focuses on fundamental science, technical innovation and societal impact with particular emphasis on modern data-driven AI methods and application areas. The aim of ELLIS is to invest in existing talent, foster new talent, and build a network of outstanding European innovation ecosystems.