FPF Training Program:
De-Identification

April 3 (In-Person)
Register
Overview
Trainers

Overview

The Future of Privacy Forum (FPF) is a global non-profit organization that brings together industry, academics, civil society, policymakers, and other stakeholders to explore the challenges posed by technological innovations while exploring privacy protections, ethical norms, and workable business practices. 

FPF’s Training Program provides an in-depth understanding of today’s most pressing privacy and data protection topics. FPF staff experts design the sessions for professionals who develop policies for their organizations, work with clients on complex privacy issues, or those interested in emerging privacy topics.

This session will explore why de-identification can serve as an effective tool to preserve the privacy of individuals, in adherence to current standards and regulations for the protection of personal data.  Using a risk-based approach, the session will also cover re-identification methods for the secondary use of data that allows organizations to innovate without compromising privacy.

The De-Identification training session will cover:

  • The basics of identifiability, including technical and legal definitions;
  • Structure data, including clinical trial datasets and real-world datasets;
  • Multiple practical data transformation techniques, such as risk-based de-identification methods and synthetic data generation;
  • Data-privacy risk measurement and management exercise, using technical, legal, and organizational controls

After completing each training course, you will receive a digital badge from Credly that can be shared on your professional network as a mark of the skills you’ve acquired.

Cancellation Policy

Cancellations will be honored, minus our vendor’s processing fee, up to 3 days prior to the session. For cancellations after that date, we will honor the registration for the next scheduled date of this session or an alternate FPF training class.

Trainers

Dr. Khaled El Emam

SVP & GM, Replica Analytics

Dr. Khaled El Emam is the SVP & GM of Replica Analytics, with over 20 years of experience developing and deploying privacy enhancing technologies in practice. Khaled is also the Canada Research Chair in Medical AI and a leading authority on de-identification and anonymization. He’s a senior scientist at the Children’s Hospital of Eastern Ontario (CHEO) Research Institute and Director of the Electronic Health Information Laboratory, conducting applied research on data synthesis, and the identifiability of health information and how to measure it, as well as being a Professor in the Faculty of Medicine at the University of Ottawa. Khaled has also founded or co-founded several companies involved with data management/data analytics, most recently Replica Analytics, which was recently acquired by Aetion.