Projects / AI Innovation Challenge

Coronavirus: Understanding Policy Effects on Vulnerable Populations

Project completed!


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A team of 28 AI experts and data scientists collaborated to gauge the impact of policies on vulnerable populations implemented during pandemics like COVID-19. The goal was to find correlations and encourage data-driven policymaking to lessen the adversity for most vulnerable populations.

The entire data analysis including a live demonstration is accessible in our demo day wrap article

The project goal

Conducting AI enabled impact-analyses on how various pandemics policies affect the well-being of vulnerable populations.

Defining “Vulnerability”

An important step of the project was to define “vulnerability” with respect to the particular context. The project focused on the factors of employment and wage loss, access to health, and domestic violence. To identify the vulnerable population for each of these categories, the team looked to the Inequality-adjusted Human Development Index, considered populations above 65 years of age, and women.

Source: UNDP

Source: UNDP

 

World maps showing countries by the Inequality-adjusted Human Development Index

 

Assessing policies and their effects

The team looked at 17 types of policies from the Oxford COVID-19 Pandemics Government Response Tracker, across the categories of containment, economic response, and health systems. The policies explored included closing of public transportation, stay at home requirements, income support, COVID-19 testing policy, and emergency investment in healthcare.

To analyze the effects of these policies, three key aspects were considered:

  • Time of policy enactment: comparing the time of policy enactment with the effect on a target variable
  • Stringency metric: the degree of intensity of the policies enacted
  • Google Mobility Dataset: quantifies the movement of people in places (e.g. grocery stores vs. parks)

The entire data analysis including a live demonstration is accessible in our demo day wrap article



Your benefits

Working with world-class mentors and domain experts to acquire real-world experience

Making international friends in a fast-growing supportive community of collaborators

Boosting your technical skills, problem-solving capabilities, and collaboration skills

Building your personal brand and publishing your own articles on our website and blog

Receiving certificates of participation and references to build a meaningful career



Requirements

Good English

A good/very good grasp in computer science and/or mathematics

Student, (aspiring) data scientist, AI engineer, data engineer

Programming experience with C/C++, C#, Java, Python, Javascript or similar

Understanding of ML and Deep learning algorithms



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