Ruobin (Robin) Gong

Do you want to know the Whats, Whys & the Hows of the U.S. #Census? Check out the latest #HDSRPodcast episode and listen to our conversation with guests @EricaGroshen & @RuobinGong #DifferentialPrivacy @uscensusbureau hdsr.podbean.com/e/differential…

In our special #Census issue @RuobinGong discusses the key statistical considerations behind transparent privacy and weighs a few challenges to transparency that emerge from the @uscensusbureau's adoption of #DifferentialPrivacy for the #2020Census Read: doi.org/10.1162/99608f…

@mcmcgriffin @CNS_UMass @JoeGuinnesss Congrats Maryclare!🎉🎊

Recently got a notification that I received an NSF grant to fund my research. Couldn't have done it without David Matteson pestering me to apply, @CNS_UMass Research Support Services supporting me, and @JoeGuinnesss, @RuobinGong, and Shizhe Chen sharing application materials. 🤗

@PierreEJacob @RoyalStatSoc Congrats Pierre!!! Well deserved🥳

The recipient of our Guy Medal in Bronze this year is Pierre E Jacob. Read the full citation and about the other winners in our news announcement at rss.org.uk/news-publicati… #RSSHonours

Marcello and I are speaking at ANU's HMI DAIS seminar about our recent work on understanding the ``multiple resolutions'' to algorithmic fairness -- this Wednesday 11/11 @ 5pm US Eastern!

Our latest issue (2:3) is out and it features a high school student, a comedian, and two presidents among many others from industry and academia! Read it now starting with @XiaoLiMeng1 's editorial #DataScience @harvard_data @mitpress @pubpub hdsr.mitpress.mit.edu/pub/9ptj5iu7

More new data: we just released more demonstration data based on the @uscensusbureau's differentially private algorithm. This release adds 12 additional tables, including races tallied and sex by age by race/ethnicity. nhgis.org/privacy-protec…

Our special COVID-19 issue has launched! Read the opening piece by Editor-in-Chief @XiaoLiMeng1 @mitpress @pubpub @harvard_data #datascience #COVID-19 #coronavirus COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science) hdsr.mitpress.mit.edu/pub/l7a2t45s

Thanks again to @walthdempsey for this application, which I used for my ODSC talk. Thanks to @stanford_ai for spreading the word! Random testing takes no more than a very small fraction of the tests — in this case 1/500. The key, however, is to ensure it’s really random! Ideas?

Today @CMU_Stats mourns the loss of Joyce Fienberg, one of the fatalities in yesterday's Tree of Life synagogue attack. Joyce was the widow of Steve Fienberg and a treasured member of the @CMU_Stats family for almost 40 years. She was much loved and will be deeply missed.