Overview

For an online crowdfunding platform, the aim is to extend financial services to the poor and financially excluded people around the world. In order to set investment priorities, to help inform lenders, and understand their target communities, the knowledge of each borrower’s level of poverty is critical. However, this requires deriving inferences based on a limited set of information for each borrower. 

Task

1. Design and build platforms, apps, or a dashboard that showcases useful insights through interactive features. Here are sample ideas to enable your approach:
• Estimate the poverty levels of residents in the regions where the support can be lent.
• Seamlessly connect the needy to their potential donors.
• Allow users to raise monetary funds on the portal.
2. Add innovative and useful features similar, but not limited to, the following:
• Reward investors to encourage funding.
• Provide an option for potential investors to ask questions through a comments page. 
• Create an exclusive page that lists current investors, acknowledges their contributions, and encourages others to follow suit.
• Integrate social media profiles with the project details page for others to contribute.

Put on your thinking cap to build solutions and features that you believe in!

Resources

• Data Science for Good: Kiva Crowdfunding datasets
• Crowdfunding Data (Reg CF)
• Real Estate crowdfunding sites
• Crowdfunding

Note that you are also required to fill in the submission template with your solution.

Overview

This challenge presents a curated collection of datasets from global sources and asks to model solutions for the below key tasks that were developed and evaluated by a global frontline of healthcare providers, hospitals, suppliers, and policymakers.

Task

Propose and build a solution that can help identify, predict and address pain points similar, but not limited to the sample ideas listed below:

• Predict the following:
• Populations that have the highest risk of contracting Covid-19.
• Possible severity of illness in a particular patient/demographic.
• Identify the following:
• Incidence of Covid-19 infection among cancer patients.
• How the implementation of strategies impacts rates of Covid-19 infection?

Innovate by adding creative and meaningful insights/features that could serve the society during this critical time. 

Resources

• Uncover COVID-19 Challenge datasets
• Novel Corona Virus 2019 Dataset
• Data on the daily number of new reported COVID-19 cases and deaths by EU/EEA country
• Data on testing for COVID-19 by week and country

Note that you are also required to fill in the submission template with your solution.