Coronavirus: Using AI to Understand Policy Effects on the Economically Marginalized during Pandemics

Coronavirus: Using AI to Understand Policy Effects on the Economically Marginalized during Pandemics

  • The Statement
Challenge started! Applications closed!

Want to partner up on this challenge?

In this Omdena Challenge, 50 AI experts and aspiring data scientists from around the world will apply AI to enable governments to design data-driven policies to deal effectively with pandemics like the Coronavirus. 

Among the partners for this challenge are the renowned AI for Good Summit, Labelbox, Fruitpunch.ai, and more.

If you want to join the challenge as a funding, technology, or media partner, contact us here.

 

The problem: Coronavirus called a pandemic

A pandemic is a disease that is spreading in multiple countries around the world at the same time. WHO called on governments to change the course of the Corona outbreak by taking “urgent and aggressive action”. Many governments took strict measures such as closing borders, quarantining entire cities, and implementing travel bans. 

While these measures may be effective in containing the spread of disease they may also have indirect mid- to long-term effects on the economy and adverse effects on the well-being of people, especially the poor and economically marginalized. 

 

The challenge goal: Data-driven policymaking

In this two-month Omdena AI challenge with Fruitpunch AI, we aim to help governments and policymakers to make data-driven decisions in order to deal with pandemics and cover some of the following topics. 

When travel is restricted, schools closed, events canceled, and communities put into quarantine, individuals and businesses in those ecosystems lose their source of income. How does that loss of income impact the health and financial stability of those individuals?

What we will build

Leveraging the power of global collaboration, the goal is to build AI models that reveal the effects of specific policy decisions being made by governments and institutions on the economically marginalized, especially working in the informal sector.

In this way, institutions can identify the most effective ways to deal with future pandemics to minimize economic impact and human deaths not only in the short term but also in the midterm.

 

Why you should join the challenge

For the next two months, you will not only build AI solutions to make a real-world impact but also go through an entire data science project lifecycle. This covers problem scoping, data collection and preparation, as well as modeling for potential deployment.

And the best part is that you will be part of a global collaboration.

 

 

This challenge is hosted with our friends at