This workshop will explore the main challenges to statistical approaches in improving health equity. We will host a series of panel discussions, each focusing on a different aspect of healthcare, featuring international experts from across academia, medicine, and public health.

The workshop is open to all with an interest in using data-driven approaches to improve health equity and we greatly welcome participation from a broad range of backgrounds and disciplines.

Workshop aim

The aim of the workshop is to identify the main barriers to

1. Understanding the cascading effects of health and healthcare inequities in data and in the design and development of statistical models

2. Detecting / quantifying unfair biases and the effects of health and healthcare inequity