Introduction

The unfolding of the COVID-19 pandemic has been accompanied by a parallel tsunami of data and information related to the disease, its spread and global impact. Phrases and words like “social distancing”, “asymptomatic vs. symptomatic”, “pool testing”, “flattening of the curve”, “drug repurposing” and “lockdowns” have become part of our daily lexicon. The speed at which the pandemic has spread and the conflicting information has left governments, experts and policy-makers flat-footed and yearning for credible information and prescriptions grounded in science.

In a series of lectures, scientists from QCAI-QCRI will introduce a combination of basic and advanced set of techniques and tools from data science and artificial intelligence relevant to the analysis of the pandemic. The lectures are aimed at   policy experts, domain specialists and the general public to “make sense” as they witness what might be the most far reaching event in human history.

All lectures will be held online.
Please refer to HBKU website for more information.

Lecture Schedules

Time: 10:00 am – 12:00 noon, every Monday and Thursday from April 27 to May 18.

Data Exploration and Visualization of COVID-19 data

April 27, 2020

Meta-Research of COVID-19 literature

April 30, 2020

Managing health services during a pandemic

May 4, 2020

Epidemiological Modeling

May 7, 2020

A Data-Driven Perspective on Drug Discovery

May 11, 2020

Social Media Analysis

May 14, 2020

Responding to Global Crises in the Age of Data and Information Overload (Panel Discussion)

May 18, 2020