The National Institute of Statistical Sciences (NISS) serves as a neutral, objective expert in delivering high-impact research in science and public policy.
Join us 5/19: NISS Ai, Statistics and Data Science in Practice Webinar: "Causal Generalist Medical AI" with Dr. Hongtu Zhu, UNC Chappel Hill 12-1:30pm ET - https://t.co/kETOrWOQou
Call for Abstract Submissions - Deadline 5/18/2026!
We invite early-career researchers and students to present their work. Cash prizes will be awarded for outstanding presentations in both the postdoc and student categories.
Full details on event page: https://t.co/9UpcNyWuBp
Sharpen your academic writing skills! The NISS Writing Workshop 2026 is now open for pre-registration. Virtual sessions (Fridays): July 17 & 24, 2026; In-person session: Sunday, August 2, 2026, at JSM in Boston, MA (optional). Details and registration:
https://t.co/YjWchribz3
Reminder to Register (Session 1 Starts Tomorrow!) NISS Short Course Series: Foundations of Time Series Analysis with R with Tucker S. McElroy - https://t.co/D0zLq8o2UH
3/25 NISS-Merck Meet-Up: Transforming Statistics & Drug Development: The Role of Large Language Models at 12-1:30pm ET speakers: Junshui Ma (Merck), James Zou (Stanford University), and Bin Zhu (NIH/NCI) https://t.co/dP2cB53oOU
Join the NISS‑CANSSI Data Science Webinar on March 12, 2026 (1–2 PM ET)! Learn how Bayesian methods are advancing ion temperature & amplitude reconstruction in inertial confinement fusion, featuring speakers Ky Potter & Chris Danly - https://t.co/rOY6uF0FEc
2/17 COPSS-NISS Leadership Webinar: Leadership in Analytic Design Theory at 12-1pm ET featuring Stephanie Hicks (Johns Hopkins University) & Dr. Roger D. Peng (University of Texas at Austin). See full details & register: https://t.co/qDAxjTOWQa
Join us for NISS/FCSM webinar on "Empowering Generative AI with Trusted Federal Data: Strategies for Quality & Usability" on Friday, January 30, 2026 - 12:00pm to 1:00pm ET - https://t.co/rkdY1A4nf0
Webinar Invitation: Thursday 1/15 at 12-1pm ET NISS-CANSSI Collaborative Data Science: Advancing Neonatal and Perinatal Research Through Collaborative Biostatistical Innovation - https://t.co/9fpVRYD87I Featuring Speakers: Dr. Anup Katheria & Dr. Abhik Das at RTI International
Looking ahead to next week’s 12/16 COPSS-NISS Leadership Webinar 12-1pm ET: Leadership in Professional Societies, Panelists: Paul Albert, NCI/NIH; and Tanya P. Garcia, UNC; Moderated by Lucy D’Agostino McGowan, Wake Forest; and Ana Ortega-Villa, Biogen - https://t.co/Ud1OLy3Uca
Looking ahead to next week’s 12/16 COPSS-NISS Leadership Webinar 12-1pm ET: Leadership in Professional Societies, Panelists: Paul Albert, NCI/NIH; and Tanya P. Garcia, UNC; Moderated by Lucy D’Agostino McGowan, Wake Forest; and Ana Ortega-Villa, Biogen - https://t.co/Ud1OLy3Uca
Join us Thurs 12/11 for the next AI, Statistics and Data Science in Practice talk on "COVID-19 Focused Cost-benefit Analysis of Public Health Emergency Preparedness and Crisis Response Programs" Speaker: Nancy McMillan, Battelle https://t.co/R9OGPMp9Ih
Join us Fri, Dec 5 (12–1:30pm ET) for the NISS Virtual Academic Career Fair! Hear from faculty at UGA, Iowa State, U Kentucky, UNC-CH & FSU on the academic job market and career paths. Don’t miss this Zoom event! https://t.co/DGnKk5ZE17
Join Thurs 11/20 Webinar: Deep learning with ECG data in the ICU: From modeling to actionable AI! Speakers: Parvin Mousavi, Queen’s University & David Maslove, Queen’s University / Kingston Health Sciences Centre; Moderator: Joel Dubin, U Waterloo - https://t.co/ZtTRK1eR92
Register for Friday 11/14 NISS Virtual Career Panel: Statistical Careers in BioPharma at 12-1pm ET! Panelists: Wang Zhenzhong, Eli Lilly; Oluyemi Oyeniran, Johnson & Johnson; and Kaihua Ding, AstraZeneca; Moderator: Richard Baumgartner, Merck - https://t.co/qzJxO5IkgX
Reminder! Earlybird deadline 10/31 for NISS Virtual Short Course: Data-Driven Problem Solving and Neural Computing: From Prediction to Prescription, No-Code to High-Code on 11/10 featuring Dr. Padmanabhan Seshaiyer, George Mason University - https://t.co/3j68gNAVV3
Reminder! 11/10 NISS Virtual Short Course: Data-Driven Problem Solving and Neural Computing: from Prediction to Prescription, No-code to High-code" featuring Dr. Padmanabhan Seshaiyer, Carnegie Mellon University - https://t.co/jLGRdJmXur