Using Mobile Network Operator Data for COVID-19 Response
DIAL has developed this introductory brief as the first in a series of materials on using mobile network operator (MNO) data.
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DIAL has developed this introductory brief as the first in a series of materials on using mobile network operator (MNO) data.
As we all adjust to living with the new realities that COVID-19 has brought, we are reminded how fragile our world can be. However, many open source tools and technologies have been developed that are being used to fight this crisis around the world.
2020 ushered in many anticipated technology trends like advanced data analytics, artificial intelligence (AI), internet of things (IoT), and the streaming revolution. However, weeks into the new year it became clear things would be overshadowed by the overwhelming onset of a pandemic.
Decision support systems are computer-based systems or subsystems that enhance the ability to use data to identify where decisions need to be made and assist in making them. They have the potential to reduce the burden on decision-makers and help overcome challenges in using data and analysis in decision-making.
As the COVID-19 pandemic has spread worldwide, so have calls for more reliable, rapid testing for the virus.
Once again this year, DIAL is proud to be a “Ceiling Smasher” supporter of Outreachy, a global program that provides internships to work in open source and free software.