One Day Symposium on How Data Can Help in Reshaping Academic, Social & Economic Practices after Covid-19 Pandemic

by Asim Bukhari Sat Jun 27, 2020 12:58 pm

Published On: Friday, June 12, 2020

The Department of Computer Science & Information Technology, Virtual University of Pakistan has arranged an online "One Day Symposium on How Data Can Help in Reshaping Academic, Social & Economic Practices after Covid-19 Pandemic" on 19th June, 2020. Renowned speakers from Canada, USA, Germany and from Pakistan will be joining the event.

Social Distancing, Stay-at-Home and closing of the borders are few activities that on one hand have helped in slowing the COVID-19 pandemic but on the other hand, have affected the academic, social and economic conditions of individuals, societies and countries at worst. As per estimates 195 million jobs are already affected or at stake. In this ever worst pandemic, Data Science and its applications are providing us a window of opportunity to deal with it and to overcome the impact.

Details:

Date : June 19, 2020

Timings : 9:30 AM - 02:00PM

Venue : Online

Registration Link : [You must be registered and logged in to see this link.]

Contact : +92-324-4228223

Objectives:

The main objectives of the Symposium are to provide:

- How learning from data can help in reshaping the future academic, social and business practices

- How Data can help to ease academic, social and economic pressures.

- How developing countries like Pakistan can exploit the opportunities and use available resources for this purpose.

Speakers:

- Dr. Naveed A Malik, Founding Rector, Virtual University of Pakistan

- Dr. Thomas Gotton, Senior Data Scientist European Central Bank, Germany

- Dr. Ali Hammad Akbar, Associate Professor, Department of Computer Engineering, UET, Lahore

- Dr. Rabeeh Ayaz Abbasi, Associate Professor, Department of Computer Science, QAU, Islamabad

- Dr. Shah Rukh Humayoun, Assistant Professofr, San Fransisco State University, USA

Topics:

- Role of Applications of Data Science

- Big Data

- Data Mining

- Machine Learning

- Artificial Intelligence and Predictive Modeling

- Industry Use Cases and Emerging Trends

- Governance

- Risk

- Policy