In September 2019, Harvard’s Institute for Quantitative Social Science announced a large-scale collaboration with Microsoft to develop open source tools for differential privacy, work that is now part of the broader OpenDP community effort. We are thrilled to report on the progress our collaboration has made, and we write today to report on two lines of substantial progress.... Read more about Update on the OpenDP-Microsoft Collaboration
Like many others, we on the OpenDP team are angered and saddened by the murders of Ahmaud Arbery, Rayshard Brooks, George Floyd, Breonna Taylor, and many Black Americans before them. We spent last Wednesday participating in #ShutDownSTEM, reflecting on the systemic racism in academia and the tech industry and how we can work towards eliminating it.
The following news from the Social Science One project may be of interest to the OpenDP Community. If you have news you would like to share with the community, please feel free to use this mailing list community@opendp.org
-------------------------------------------------------------------------------------------- We've updated the Social Science One - Facebook "URLs dataset". It now has 17 trillion cell values with social media data from 46 countries. https://t.co/XYcvxhOMPl We believe it to be the largest differentially private corporate dataset ever released to academic researchers.
One of OpenDP use cases is the integration of OpenDP tools with public data repositories to release differentially private statistics of sensitive data hosted in the repository. Public data repositories have become ubiquitous in research and are a key part of the research lifecycle. Funders increasingly require sharing the research data associated with a funded project in a data repository when the project ends; journals increasingly require publishing the data associated with a scholarly article in a supported data repository;... Read more about Dataverse Community Meeting and Integration of OpenDP with Data Repositories
