Upcoming Events

Event Date:
Tuesday, February 25, 2025 at 12-1pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar

United States
This webinar will feature insights from distinguished panelists who have leveraged their statistical expertise to drive meaningful change in public health. The discussion will explore how leaders in the field of biostatistics make critical decisions about impactful projects, navigate challenges in... more
Event Date:
Tuesday, March 11, 2025 at 12-1:30pm ET
Event Type:
NISS Hosted
Event Location:

United States
Overview This session will explore the use of machine learning for detecting and identifying airborne biological hazards. Attendees will learn how supervised and unsupervised learning techniques can analyze spectral data to differentiate between harmful and benign substances. The speaker will... more
Event Date:
Thursday, March 20, 2025 at 1:00 pm - 2:00 pm ET
Event Type:
NISS Hosted
Event Location:

United States
Full details will become available soon!   Register on Zoom Speakers Claudie Beaulieu, Assistant Professor of Ocean Sciences, University of California, Santa Cruz Rebecca Killick, Professor of Statistics, School of Mathematical Sciences, Lancaster University Moderator Emily Casleton,... more
Event Date:
Tuesday, March 25, 2025 at 12-1pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:

United States
Full details coming soon! Register on Zoom Here Panelists Coming Soon! Moderator Sandra Safo, PhD, Associate Professor, Division of Biostatistics & Health Data Science, University of Minnesota About the Speakers Coming Soon! About the Moderator Sandra Safo, PhD, is an Associate... more
Event Date:
Thursday, April 3, 2025 at 1-3pm ET
Event Type:
NISS Hosted
Event Location:

United States
Overview:  As data science and statistics become increasingly embedded in scientific research and industry, the role of computing is evolving. Today, data scientists must go beyond traditional statistical software and spreadsheets—they need to build data science products that power real-time... more
Event Date:
Wednesday, April 9, 2025
Event Type:
NISS Sponsored
Event Location:

United States
Schedule:  • 4:00 pm - 5:00pm: Public Lecture Title: Learning, Teaching, and Communication in the Age of AI: Wisdom and Warnings from Harvard Data Science Review (Or: Are you smarter than GPT-4?) Location: Hendrix Student Center Ballroom A, Clemson University • 5:30 pm: Reception and Dinner... more
Event Date:
Thursday, April 10, 2025 at 1-2pm ET
Event Type:
NISS Hosted
Event Location:
Zoom Webinar

United States
Overview Full details will become available soon!   Register on Zoom Speakers Kelly Renee Moran, Los Alamos National Laboratory, LANL Katrin Heitmann, Argonne National Laboaratory, ANL Moderator Emily Casleton, Statistical Sciences Group, Los Alamos National Laboratory (LANL) Abstract ... more
Event Date:
Tuesday, April 22, 2025 - 12:00pm to 1:30pm
Event Type:
NISS Hosted
Event Location:

United States
Overview Join us for the next session of the NISS AI, Statistics, and Data Science in Practice webinar series, featuring Dr. Soledad Fernández, Distinguished Professor and Division Chief of Biostatistics and Population Health at The Ohio State University. Dr. Fernández also serves as the Director... more
Event Date:
Tuesday, April 29, 2025 at 12-1pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar

United States
Full details coming soon! Register on Zoom Here Panelists Coming Soon! Moderator Tracy Ke, Associate Professor in the Department of Statistics at Harvard University About the Panelists Coming Soon! About the Moderator Tracy Ke is an Associate Professor in the Department of Statistics at... more
Event Date:
Monday-Wednesday, May 12-14, 2025
Event Type:
NISS Sponsored
Event Location:
Indianapolis, Indiana,
United States
Bayesian, Fiducial and Frequentist Conference 2025 presented by Purdue University Department of Statistics – May 12, 2025 – May 14, 2025   The Bayesian, Fiducial, and Frequentist (BFF) community began in 2014 to facilitate scientific exchange among data scientist and scholars in related fields... more

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