NISS
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The National Institute of Statistical Sciences (NISS) serves as a neutral, objective expert in delivering high-impact research in science and public policy.
Washington, DC
Joined December 2007
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
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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
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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
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Register for 10/28 COPSS-NISS Leadership Webinar: From Asymptotics to Action: How Statistics Should Lead in the AI Era at 12-1pm ET - Speakers: Anne Qu, UC Santa Barbara and Tianxi Cai, Harvard; Moderator: Bei Jiang, U Alberta - https://t.co/VfgQ9cSiwt
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Earlybird Ticket Extended Deadline 10/31: Virtual Short Course: Data-Driven Problem Solving and Neural Computing (rescheduled to Monday Nov 10, 2025 2-3:30pm ET), instructed by Padmanbhan Seshaiyer, Mathematics Department at GMU - https://t.co/W80YjjRJt9
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Register for Thursday 10/9: NISS-CANSSI Collaborative Data Science: Working with Physicists on Quantum ML; Speakers: Dr. Martin Wells, Cornell University & Dr. Luca Candelori, Qognitive, Inc.; Moderator: Dr. Emily Casleton, LANL) - https://t.co/zOJVktZ5h1
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10/6 Deadline Earlybird Tickets: Virtual Short Course: "Data-Driven Problem Solving and Neural Computing: From Prediction to Prescription, No-Code to High-Code" Instructed by: Dr. Padmanabhan (Padhu) Seshaiyer, GMU - https://t.co/hP3rAbKVO4
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Webinar Invitation: 10/3 Tim Hesterberg, Instacart "Covariate Adjustment, Intro to Resampling + Surprises" (NISS Ai, Statistics & Data Science in Practice Series), moderated by Yijun (Frank) Wei, General Motors - https://t.co/OUbpZfeG8u
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Tuesday 9/30 COPSS-NISS Leadership Webinar: Statistical Leadership for AI-Enabled Health at 12-1pm ET- https://t.co/TlAHjZ7ZwA AI is reshaping statistics, health, and medicine. This COPSS–NISS Leadership Webinar features Dr. Xihong Lin and Dr. Hongtu Zhu!
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Reminder: Tuesday 9/23 AI, Statistics & Data Science Webinar Series: David Simchi-Levi, MIT - https://t.co/5WEpuaddmo
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Webinar Invitation: Tuesday 9/23 AI, Statistics & Data Science Webinar Series - https://t.co/psEIhwCsM2 Join us for the talk on "Reinventing Operations Management’s Research and Practice with Data Science" presented by David Simchi-Levi, MIT
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Reminder: 9/18 NISS-CANSSI Collaborative Data Science Webinar in Statistical Ecology for Conservation - https://t.co/fC8AJkZKI4
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Register 9/18: NISS-CANSSI Collaborative Data Science Webinar in Statistical Ecology - https://t.co/HbeOCIJJQ2 with Laura Cowen, PhD, University of Victoria & and Patrick D. O'Hara, PhD., Institute of Ocean Sciences; Moderator: Saman Muthukumarana, Ph.D., University of Manitoba
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Tuesday 8/26 AI, Statistics & Data Science Webinar Series: Aaditya Ramdas, Carnegie Mellon - https://t.co/QC8ooTWrLS
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Tuesday 8/26 AI, Statistics & Data Science in Practice Series: Sequential causal inference in experimental or observational settings will be presented by Aaditya Ramdas, Carnegie Mellon University at 12-1:30pm ET! - https://t.co/3wMLF5irmp
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Join us for Virtual Pre-Workshop Thought Summit Next Week (free!): IMSI-NISS Data Science at the Intersection of Public Health and the Environment 8/21/25 at 12-2pm ET - Don't forget deadline for the Ideas Lab (Workshop) Oct 20-24th Apply by 25 August! - https://t.co/Xq57cgO81i
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Deadline Aug 15: The 2025 ISU-NISS Conference on AI and Statistics, September 12-15 - https://t.co/aXaZwkMAeK
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Apply by August 25! Data Science at the Intersection of Public Health and the Environment - Ideas Lab (Workshop) Dates: October 20-24, 2025- https://t.co/a9ebfCPGBv
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Register for 8/3 NISS Short Course: An Introduction to ChatGPT at JSM 2025 presented by Linjun Zhang, Rutgers! Discover how to use Generative AI (ChatGPT) to enhance academic writing—drafts, summaries, LaTeX, R code, and more. No AI experience needed. - https://t.co/MczVsXkuSR
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Extended Deadline July 11: NISS Writing Workshop for Junior Researchers 2025 - https://t.co/EUhOqkuwds
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