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Statistics and space: Prepare for impact! The September 2024 issue of Significance is now published online - with print copies reaching subscribers soon. Watch this space for the free-to-reads. ow.ly/CAUL50S9JRO #statistics #space

Congrats to Song, Bhattacharya, & @Pragya_sur on their paper “Generalization error of min-norm interpolators in transfer learning”. They develop a new framework for quantifying the generalization error of min-norm interpolators under transfer learning: arxiv.org/abs/2406.13944

Take a look at IMS August Bulletin, which features the 2024 Gottfried E. Noether Early Career Scholar Award presentations by Edgar Dobriban and Lucas Janson: imstat.org/wp-content/upl…

Check out Stats + Stories "Statistics Behind the Headlines" audiobook in which John Bailer and Rosemary Pennington provide a "roadmap to statistical literacy and a data self-defense course"!

Congrats to Cory McCartan, Christopher T. Kenny, PhD, Tyler Simko, Emma Ebowe, Michael Y. Zhao, and Kosuke Imai on their new working paper "Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors"!

Read "Predictive Inference in Multi-environment Scenarios" by John C. Duchi, Suyash Gupta, Kuanhao Jiang & @Pragya_sur, which addresses the challenge of constructing valid confidence intervals in problems of prediction across multiple environments: arxiv.org/abs/2403.16336

Thank you Harvard Data Science Review for your insightful article on "Is Chat GPT More Biased Than You?" The article examines the bias in LLMs and explores how to reduce this bias.

For the last meeting, our Data & Society Book Club enjoyed the outdoors while discussing Harvard Data Science Review Special Issue 5 "Future Shock: Grappling With the Generative AI Revolution." We shared our reactions to problems associated w/ GenAI - thanks for a lively discussion! Xiao-Li Meng

To all literature & stats fans, how similar is stats analysis to close readings? Take a look at responses in Andrew Gelman et al. blog by Stats PhD Alum Prof. Andrew Gelman.

Tune into Stats + Stories podcast to explore how Bayesian methods are impacting the environmental landscape. The podcast features Noel Cressie Distinguished Professor UOW CEI.

Congrats to Kevin Luo, Yufan Li, & Pragya Sur on their paper “ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data." They introduce ROTI-GCV, a new framework for cross-validation under sample dependence and heavy-tailed covariates: arxiv.org/abs/2406.11666

Welcome back students to the Stats Dept! We can't wait for talks, stat night, coffee hour, CLASSES, & more during the fall semester! Watch where the magic happens in this video. #HarvardStats

Read “HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators" by Song, Xihong Lin, & @Pragya_sur. They develop a method for estimating heritability or signal-to-noise ratio in high dimensional scenarios, i.e. in stats genetics: arxiv.org/abs/2406.11184

Hosted by Stats, CS & Applied Math, our Women in Tech & AI Career Panel featured Stella Biderman (Stella Biderman @ ICML), Exec Director EleutherAI, & Ashley Mae Conard (@ashleymaeconard), Sr. Researcher Microsoft Research Health Futures. What an empowering event! statistics.fas.harvard.edu/news/statistic…

🎉 Congratulations to Prof. Susan Murphy lab on receiving the 2024 Mosteller Statistician of the Year Award! 🏆✨ We celebrated her achievements with students, postdocs, and colleagues at a special BCASA reception. Read more in the BCASA's newsletter: sway.cloud.microsoft/kHlKB41elOp5Cx…

Congrats t to Statistics PhD alum Louis Cammarata on receiving the 2025 Lawrence D. Brown PhD Student Award! 🏆 Cammarata was selected based on his work on dynamic network analysis with Prof. Tracy Ke: statistics.fas.harvard.edu/news/louis-cam…

Preceptor Julie Vu will speak w/ the Harvard College Women’s Center on Wednesday, 10/30 at 7 PM in Canaday Hall B (Lower Level)! Join an inspiring discussion on navigating identities in academic & professional spaces, female representation in STEM, & gender equity.

Harvard Statistics is proud to be a part of public school outreach programs like Data Adventure Day for high school students and Project Teach for middle school students! Read more here: statistics.fas.harvard.edu/news/harvard-s… #HarvardStats

In "If statistics Must Die... Let It Go Out with All Its Styles," Xiao-Li Meng proposes that statisticians embrace both traditional and newer styles to lead the profession forward: statistics.fas.harvard.edu/sites/g/files/… IMS

"What is intelligence?" and "How do we ensure safe human-computer interaction?" Register for Xiao-Li Meng Harvard Online Summer Course "Data Science: An Artificial Ecosystem" by June 17th to explore data & AI topics from different perspectives: summer.harvard.edu/blog/take-a-sn…