Past Events
Event Date:
Friday, May 17, 2024 at 1:00 pm - 4:30 pm ET
Event Type:
NISS Hosted
Event Location:
United States
United States
Quick Links:
Agenda (Abstracts + Speaker Bios)
Registration
Registration Fees:
Affiliates with a company email address, free and added to the Zoom speaker list. - please reach out to mglenn@niss.org for promo code to register.
Speakers, no charge by sending them a speaker invitation
Student... more
Event Date:
Friday, May 10 & Friday May 17, 2024, 1 pm - 4:30 pm ET
Event Type:
NISS Hosted
Event Location:
Zoom Webinar
United States
United States
Quick Links:
Agenda (Abstracts + Speaker Bios)
Registration
Call for presentations:
We are inviting additional presentations for the two-day virtual workshop, in addition to the invited speakers already on the Agenda. Speakers will have 15 minutes to present on related topics.
Please provide... more
Event Date:
Tuesday, April 30, 2024 at 12-1pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar
United States
United States
Please Note: This event has already taken place, you may find the news story and recording here: COPSS-NISS Leadership Webinar Explores Translational Statistical Research in Public Health and Medicine | National Institute of Statistical Sciences
Join us for our another insightful webinar on the... more
Event Date:
Wednesday, April 17, 2024 - 3 pm - 4:30 pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar
United States
United States
Speakers
Reva Schwartz (NIST)
"Delivering trustworthy AI through risk-aware culture"
Kevin Tupper (Microsoft)
"Empowering your Statistics with Better Stories"
Travis Hoppe (CDC/NCHS & FCSM)
"Implementing generative AI at CDC"
Stephanie Lee Studds (US Census Bureau)
"Creative Use AI/ML at... more
Event Date:
Tuesday, April 2, 2024 at 3:00 - 4:30 pm ET
Event Type:
NISS Hosted
Speakers
Scott Lee (CDC)
"HaMLET: Enabling Quality Control at Scale for CDC’s Immigrant and Refugee Health Screening Program"
Luca Sartore (USDA-NASS/NISS)
"Predictive Cropland Data Layer: From Images to Statistics"
Kusuma Prabhakara (Census)
"U.S. Census Bureau Geography Division Satellite-... more
Event Date:
Friday, March 29, 2024 at 12-1pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar
United States
United States
Join us for another insightful webinar on the topic of leadership in the field of statistics genomics! The focus of this event will be to discuss how to successfully bridge the interests of statistics & data science and genetics & genomics, and how statisticians and data scientists can... more
Event Date:
Monday, March 18, 2024 - 3 pm - 4:30 pm ET
Event Type:
NISS Hosted, NISS Sponsored
Speakers
Ellen Galantucci (Federal Maritime Commission)
"Safeguarding Confidentiality in Federal Statistics: Navigating AI Challenges"
Emily Hadley (RTI International)
"Practical Approaches for Ensuring the Responsible Use of AI"
Benjamin Reist (NORC)
"Addressing Algorithm Bias/Fairness in... more
Event Date:
Monday, February 12, 2024 at 3:00 pm - 4:30 pm ET
Event Type:
NISS Hosted
Event Location:
United States
United States
Speakers
Brandon Kopp, US Bureau of Labor Statistics (BLS)
"Clustering Federal Register Comments for Efficient, Manual Review"
Benjamin Rogers, National Center for Health Statistics (NCHS/CDC)
"Text Analytics: Background on Large Language Models and their usage"
Kenneth Haase, US Census Bureau
“... more
Event Date:
Tuesday, November 28, 2023 - 12 pm - 1 pm ET
Event Type:
NISS Hosted
Event Location:
Zoom Webinar
United States
United States
Join us for our another insightful webinar on the topic of leadership in the field of statistics and data science. This webinar explores the critical role of statistical methods in harnessing the vast potential of electronic health records (EHR) data, showcasing cutting-edge research and practical... more
Event Date:
Friday, November 17, 2023 - 1:00pm to 3:00pm
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar
United States
United States
Overview
Generative language models like ChatGPT and others are rapidly changing the landscape of artificial intelligence. As these models become more prevalent, they raise numerous theoretical and practical questions about their use, limitations, and potential for bias. In this webinar, we... more