🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Abhraneel and Maryam will lead the tutorial, but I will be there too to coordinate and distribute badges 😺

We are hiring a tenure track Assistant Professor and a Ginni Rometty tenured Professor (I hold the other one) at @NorthwesternCS, in addition to instructional faculty. Come be my colleague, please! mccormick.northwestern.edu/computer-scien…

The full talk is now online! youtube.com/watch?v=nJT7ni… Gives tips for communicating differential privacy guarantees to data subjects based on two recent studies w/ Mary Anne Rachel Cummings Gabe Kaptchuk Elissa M. Redmiles, Ph.D.

If you'd like to hear the talk summarizing our work on how AI changes privacy, it's now online! youtube.com/watch?v=69GqgR…

Calling US-based data journalists and visualization designers! I am seeking participants for an interview study on visualization design processes, including data exploration, final design choices, and the use of language. Your insights are appreciated! #infovis #datajournalism

I had a random idea on broader impacts statement requirements for AI/ML papers - why not treat them as part of related work, & expect citations to relevant critical work? This potentially removes some mystery (authors know how to do lit review) 1/

Congrats Dr. @hyeok__kim on a successful dissertation defense! He blew everyone away with the rigor, comprehensiveness, and polish of his research program on multi-context visualization design. Pictured w committee of me Jane Hoffswell Matthew Kay & Michael Horn

Excited to share that our paper introducing the REFORMS checklist is now out Science Advances! In it, we: - review common errors in ML for science - create a checklist of 32 items applicable across disciplines - provide in-depth guidelines for each item science.org/doi/10.1126/sc…

Congrats Priyanka Nanayakkara on an excellent dissertation on interface tools & paradigms for differential privacy! In 5 short yrs she managed to tackle challenges faced by data curators, subjects, analysts & orgs. Pic w/partial committee (missing Rachel Cummings, Jennie Rogers on zoom)

Unpredictable trajectories: In 2017, 2 of my undergrads published an ACM CHI Conference paper on the usability of differential privacy Over the next 4 yrs, it received 3 TOTAL citations But in 2024 alone, it has 15 Happy to see their work receive more validation, even if it's a bit late

I’m honored to have been awarded the Association for Computing Machinery SIGSAC Outstanding Early-Career Researcher Award for “pioneering research contributions in the area of sociotechnical security research” today at ACM CCS 2024 #ccs24

A little late in this announcement, but I've started a postdoc at Harvard's Center for Research on Computation and Society Harvard CRCS. Excited to keep working on usable differential privacy OpenDP & privacy more broadly! If you're in the Boston area, I'd love to say hi 👋

Check out sohyeon hwang's talk on our work w/ Yan Shvartzshnaider about how privacy is understood & governed on decentralized social media youtube.com/watch?v=5a4hHp…

Join us for Charles River Privacy Day on Nov 22nd! Featuring talks by Gautam Kamath, Jalaj Upadhyay, Virginia Smith, and Priyanka Nanayakkara Registration is free! bostondataprivacy.github.io/privacy-day.ht…

How do we protect privacy while keeping data useful? Differential privacy (DP) obscures details in data while preserving patterns. In FABBS, Jessica Hullman and Priyanka Nanayakkara offer a framework to help policymakers decide how to apply DP. spr.ly/6010sVjdr

Differential privacy is a SOTA approach for limiting identification of individuals from data releases, but anticipating its interaction w/common expectations and workflows is hard. New article for policy-makers w/Priyanka Nanayakkara summarizes gaps betw the theory & concerns in practice

🚨 new and/or visiting PhD student positions in data privacy Pls share & let us know if you have any questions!

I'm seeking a postdoc to work with me and Ken Holstein on evaluating AI/ML decision support for human experts: statmodeling.stat.columbia.edu/2024/12/10/pos… P.S. I'll be at NeurIPS Thurs-Mon. Happy to talk about this position or related mutual interests! Please retweet! 🙏

How do we protect privacy while keeping data useful? Differential privacy (DP) obscures details in data while preserving patterns. In FABBS, Jessica Hullman and Priyanka Nanayakkara offer a framework to help policymakers decide how to apply DP. spr.ly/6019vSHxb