Upcoming Events

Event Date:
Wednesday & Thursday, September 11-12, 2024
Event Type:
NISS Sponsored
Event Location:

United States
SAPW 2024 Virtual Workshop, September 11-12, 2024 This virtual Seasonal Adjustment Practicioner's Workshop that will be held on September 11th (1pm to 4:30pm EDT) and September 12th (9am to Noon EDT). The American Statistical Association's Government Statistics Section, Business and Economics... more
Event Date:
Monday & Tuesday, September 16-17, 2024
Event Type:
Affiliate Award Fund Eligible, NISS Sponsored
Event Location:

United States
  Monday, September 16, 2024 - Tuesday, September 17, 202412:00 am - 11:59 pm09/16/24 - 12:00am to 09/17/24 - 11:59pm   Join Us VIRTUALLY or IN-PERSON:   4th Penn Conference onBig Data in Biomedical & Population Health SciencesArtificial Intelligence and Causal Inference in Population Health... more
Event Date:
Wed-Fri, September 18-20, 2024
Event Type:
NISS Hosted
Event Location:
George Washington University
Washington, District of Columbia,
United States
Understanding Error in a Blended World The goal of ITSEW is to promote discussion of questions of research, methodology and practice relating to Total Survey Error (TSE) and Total Survey Quality, and Blended Data.  Workshop sessions are comprised of relatively short presentations and catalyzing... more
Event Date:
Tuesday, October 8, 2023
Event Type:
NISS Sponsored
Event Location:

United States
The Caucus for Women in Statistics and Data Science is organizing the International Day of Women in Statistics and Data Science (IDWSDS 2024), on October 8, 2024. Please read details below about how to particpate: Invited Session Proposals: We invite you to contribute to the conference by... more
Event Date:
Friday-Saturday, October 11-13, 2024
Event Type:
NISS Sponsored
Event Location:
The University of North Carolina at Greensboro
North Carolina,
United States
OCTOBER 11-13, 2024 The University of North Carolina at Greensboro As is typical with AISC conferences, we will feature special sessions covering a variety of contemporary topics such as Causal Inference, Design of Experiments, Survey Sampling, High Dimensional Data Analysis, Big Data, Data Science... more
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