COVID 19 as an example of the use of data science

A URJC seminar shows how intelligent data processing can help make decisions and manage risks efficiently, using the pandemic as an example.

Raul Garcia Hemonnet

The Master of Actuarial and Financial Sciences of the URJC has organized a training session to show how data science helps understand the social effects of a disease like COVID-19.

To do this, they have invited María Teresa Herrero Zamorano, Manager of Network Strategy and Management at Telefónica Spain, who has spent the last 15 years analyzing information from Telefónica's networks in Spain, developing descriptive and predictive models with a focus on deployment, attention to demand, network dimensioning and cost analysis.

From his experience, he will explain the possibilities that data science gives us to analyze, understand and make the right decisions about an aspect as complex as COVID-19.

Thanks to this seminar, says Sonia de Paz Cobo, director of the Master's Degree in Actuarial and Financial Sciences, “Students can see the practical application of the techniques they are seeing in class on a topic as current as COVID. Data science enables efficient risk management.”

The speaker will present how, through the use of different techniques applied in this discipline, information can be segmented and conclusions can be obtained that help in the elaboration of public policies.

The session is focused on Master's students, but also on all those interested in 'data science'.

This is the III Edition of these seminars, which are part of the Master. It will be held in person and, simultaneously, remotely, this Thursday, March 31 at the Madrid-Quintana headquarters, starting at 17:30 p.m.