The ASA Privacy and Confidentiality Committee, in partnership with the Federal Committee on Statistical Methodology Confidentiality and Data Access Interest Group, is sponsoring an upcoming seminar series on issues relating to statistical confidentiality and data access. The Committee will also be sponsoring several sessions at JSM in Boston this August.
privacy
Protecting Privacy and Preserving the Value of Federal Statistics for Research and Evidence-Building
As federal agencies update and combine their data systems, the ASA urges a careful balance between protecting people’s privacy and keeping data useful for research and decision-making, calling for more education, better communication, new methods, and strong funding support.
ASA Recommends Five Policy Actions to White House AI Panel
In response to the White House’s Request for Information on the Development of an Artificial Intelligence Action Plan, the ASA’s Scientific and Public Affairs Advisory Committee and the Committee on Data Science and Artificial Intelligence orchestrated the ASA’s submission highlighting the essential role of statistical science in developing, optimizing, and evaluating AI systems.
Explore US Statistical Agencies with Stats+Stories
Those interested in the work of US statistical agencies, their international counterparts, or topics related to their work might want to dive into this Stats+Stories podcast episode list.
20+ JSM Sessions Focus on Privacy, Confidentiality
The 2024 Joint Statistical Meetings in Portland, Oregon, featured more than 20 sessions and panels about statistical data privacy and confidentiality. Read about the highlights!
Society Created to Back Journal of Privacy and Confidentiality
The Society for Privacy and Confidentiality Research was formed as a nonprofit corporation with the primary focus of placing the Journal of Privacy and Confidentiality on a sustainable path with respect to people and finances.
JSM Session Touches on Equity
Sunghee Lee, Claire McKay Bowen, and Amanda Coston discussed racial bias, privacy concerns, and the fairness or unfairness of predictive algorithms at the 2023 Joint Statistical Meetings.
JSM 2023: D4G Informing Decisions and Driving Discovery
This month, David Corliss shares some of the Data for Good events happening at JSM 2023. You won’t want to miss these.
Applying Equity Awareness in Statistical Data Privacy Takes a Village
Authors Claire McKay Bowen and Joshua Snoke examined the current state of ideas about privacy-preserving methods and data sharing. Learn about their five takeaways.
Prescribing Privacy: Human and Computational Resource Limitations
Jingchen (Monika) Hu and Claire McKay Bowen look at how statisticians and data scientists can improve data privacy and confidentiality in our local—as well as federal—government and why they should.