OpenMined + UN PET Lab

OpenMined co-founded the UN PET Lab in 2019, in collaboration with National Statistics Offices and the UN Statistics Division. This group explores practical applications of PETs in official statistics, and contributed to the development of the UN PET Guide. To join the PET Lab, please email dave@openmined.org 

ISI World Statistics Congress 2025

We are presenting the work of the PET Lab at the ISI World Statistics Congress in The Hague in session IPS 882 – The Role Of Privacy-Enhancing Technologies In New Data Partnership Scenarios For Official Statistics, on Thursday, 9th October 2025, 10:50am-12:30 pm.

We will present two papers recently published in a special edition of the Statistical Journal of the IAOS on PETs (Volume 41, Issue 3):

  1. How Privacy Enhancing Technologies can advance responsible data sharing, Ronald Jansen (United Nations), Dave Buckley (OpenMined), Matjaz Jug (Statistics Netherlands), and Keping Yao (United Nations)
  2. Now is the time for Privacy Enhancing Technologies to empower official statistics, Dave Buckley (OpenMined), Andrew Trask (OpenMined)

Slides are available here.

Recordings of UN PET Lab presentations

The UN PET Lab has hosted presentations on various aspects of PETs research, development, and deployment from various statistics offices, PETs providers, researchers, regulators, and government agencies. Recordings and slides from these presentations are available here.

Case study repository

OpenMined supports the development of the UN’s PET Case Study repository, encouraging organisations to share information about PETs deployments for statistics that they have undertaken.

We are actively looking to expand the repository with new case studies and welcome new contributions from NSOs, government agencies, or PETs developers who have worked on PETs deployments in statistics. See here for information on how to contribute.

Federated learning program

OpenMined is currently collaborating with a number of NSOs to support a first-of-its-kind cross-border federated learning deployment using OpenMined’s syft_flwr library. If you are interested in learning more or participating in this pilot, please contact osam@openmined.org

Leverage new privacy-enhancing tools to unlock high-value data for official statistics

PETs are increasingly being leveraged by NSOs to facilitate private inter-agency analyses, safe data disclosure, and secure international collaboration.

OpenMined is building free, open-source tools to make it easier for NSOs to reap the benefits of these technologies. We’d love to share them with you – sign up below.

OpenMined is a 501(c)(3) non-profit foundation and a global community on a mission to create the public network for non-public information.

With your support, we can unlock the world’s insights while making privacy accessible to everyone.

We can do it, with your help.

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