Posts tagged: Synthetic Data
Fairness and Bias Amplification in Synthetic Data
Explore how synthetic data can amplify existing biases and affect fairness in health research. Learn why this happens and how it differs from representativeness.
Bias in Synthetic Data
An exploration of bias in synthetic data and its implications for health research.
How Private is Synthetic Data? Understanding the Tradeoff with Utility
Synthetic data is a powerful tool for health research, but it comes with a tradeoff between privacy and utility. This blog explores what this means for researchers and how to navigate the tradeoff.
How Do We Measure the Utility of Synthetic Data?
A practical guide to some of the metrics you can use to evaluate the utility of synthetic data.
Why Synthetic Data is Good for Open Science
Understanding the benefits of synthetic data for open science and reproducibility.
Is your Synthetic Data actually private?
A practical guide to the three privacy risks in synthetic data, the metrics that quantify them, and why no single number tells you whether your data is safe.
Synthetic Data: The Complete Series
The jumping off point for my synthetic data series, covering the basics of synthetic data generation and its applications.
Representativeness in Synthetic Data: What It Means and How to Measure It
Understanding the concept of representativeness in synthetic data and the methods used to measure it.