By continuing to use our site, you consent to the processing of cookies, user data (location information, type and version of the OS, the type and version of the browser, the type of device and the resolution of its screen, the source of where the user came from, from which site or for what advertisement, language OS and Browser, which pages are opened and to which buttons the user presses, ip-address) for the purpose of site functioning, retargeting and statistical surveys and reviews. If you do not want your data to be processed, please leave the site.

Delivering on the Promise of Synthetic Data

Events, Workshops and Courses

This page is where you’ll find news about upcoming events organized by Replica Analytics, events that we are sponsoring / supporting, or where we will be presenting, including talks, workshops, webinars, courses and conferences. Check back often to stay informed.

Upcoming Events


Conference: Responsible Sharing of Health Data

February 2nd, 2022  | 12:15pm | Online

This presentation is part of the ICTC Horizon summit, the Data and Privacy stream. Our presentation will focus on the privacy of health information and how to make it available for research and drug/device development in a responsible manner. This will include discussions of synthetic data generation as a technology to protect such data when it is used and disclosed for secondary purposes.

This event is free but registration is required.


Conference: Protecting Privacy Using Synthetic Data Generation

February 2nd, 2022  | 10am | Online

Our presentation of this Data Privacy Week conference will focus on the application of synthetic data generation, and how that can be used to protect individual privacy.

This event is free but registration is required.


Course: Privacy Engineering: De-identification and Use of Information

February 2nd, 2022  | 3:15 pm to 4 pm ET | Online

This course is organized by Osgoode Hall Law School at York University, and focuses on the applications of AI in Healthcare. Our module will present privacy enhancing technologies for rendering data to be non-identifiable. The topics will be:

  • What is de-identification and what is its application in the health sector?
  • What does the practice of de-identification look like?
    •  removal of direct identifiers; data coding
    • data de-sensitization
    • risk clearing
  • Anonymization vs. de-identification
  • Understanding and managing concerns around consent & ethics
  • What steps should be taken to minimize the risk of bias?
  • Mandatory de-identification vs. business risk de-identification
  • What does re-identification look like and in when is it appropriate?
  • Privacy preserving technology: access to data without violating privacy laws

There is a fee to register for this day long course.