Reporting and anonymization practices in health, wellness, aging, and accessibility research
During my first year as a PhD student I had the chance to collaborate with Dr. Haley MacLeod, who was a fellow informatics student at the time, and Dr. Sameer Patil to investigate if anonymizing data of people with rare diseases could still effectively be analyzed with machine learning compared to using the raw data as sharing full data sets is a complicated process and potentially increases the chance of participant information being exposed. We found that anonymizing data and preserving participant privacy affected the utility for replicating studies and the loss of utility varies depending on the method of analysis, use case, and what metrics are evaluated.
Small Data Privacy Protection: An Exploration of the Utility of Anonymized Data of People with Rare Diseases
Haley MacLeod, Jacob Abbott, Sameer Patil <http://wish.gatech.edu/wp-content/uploads/macleod_haley.pdf>
Local Standards for Anonymization Practices in Health, Wellness, Accessibility, and Aging Research at CHI
Jacob Abbott, Haley MacLeod, Novia Nurain, Gustave Ekobe, Sameer Patil. <https://doi.org/10.1145/3290605.3300692>
All photography provided by Jacob E. Abbott