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Registration Now Open! 4/30 AI Day for Federal Statistics at the National Academies of Sciences, Washington DC

  • 1.  Registration Now Open! 4/30 AI Day for Federal Statistics at the National Academies of Sciences, Washington DC

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    See more details! AI Day for Federal Statistics 2026 | National Institute of Statistical Sciences

    Free Registration on NASEM: AI Day for Federal Statistics 2026

    Date: April 30, 2026 | Time: 1:00 PM - 5:00 PM (ET) | Location: National Academy of Sciences Building, 2101 Constitution Ave NW, Washington DC 20418, USA

    CALL FOR POSTERS

    Do you use artificial intelligence (AI) to support federal statistics? Submit an abstract to include your work in a poster session for the upcoming AI Day of Federal Statistics workshop. Posters can include all applications of any form of AI, such as machine learning, generative AI, and AI agents, and may cover methodological issues, organizational constraints and challenges, and efficiency gains.
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    Event Description

    Ready or not, Generative Artificial Intelligence (Gen AI) is here. Federal agencies have begun to develop policies and strategies, provide access to Gen AI services to their staff, administer training, govern usage, and incorporate Gen AI into production workflows. Agencies are at different points in this journey, but everyone from front line staff to senior executives are discussing how to leverage AI (beyond machine learning) across the organization to advance their mission. The conversation is no longer about whether to use AI but how to use it safely and effectively.

    The Committee on National Statistics (CNSTAT), the Federal Committee on Statistical Methodology, and the National Institute of Statistical Sciences are working together to organize a second AI Day for Federal Statistics on April 30, 2026, in which the implications of AI for federal statistics will be explored. The workshop will provide opportunities for training and capacity building, as well as share best practices for using AI to drive government efficiency, modernize the federal workforce, and address challenges facing the federal statistical system in serving the country's data needs.

    The sessions will focus on applications concerning federal statistics and cover the full range of use cases from productivity and document summarization to code development and conversion to statistical production work. There will be a poster session of work at federal agencies that includes all applications of any form of AI, such as machine learning, statistical modeling and analysis, operations, and coding and classification.

    This is a free public event.

    CNSTAT Core Funders:

    National Science Foundation: Methodology, Measurement, and Statistics Program; National Center for Science and Engineering Statistics; Social Security Administration; U.S. Department of Agriculture: Economic Research Service, National Agricultural Statistics Service; U.S. Department of Commerce: Bureau of Economic Analysis; U.S. Department of Health and Human Services: National Center for Health Statistics, National Institute on Aging; U.S. Department of Justice: Bureau of Justice Statistics; U.S. Department of Labor: Bureau of Labor Statistics; U.S. Department of Transportation: Bureau of Transportation Statistics; U.S. Department of the Treasury: Statistics of Income Division, Internal Revenue Service; Russell Sage Foundation

    Contact

    mchiu@nas.edu" class="block w-full text-left focus-visible:outline-0 transition-shadow hover:shadow-md group flex flex-col bg-secondary p-spacing-set-6" data-component="card:icon" target="_blank" rel="noopener">

    Melissa Chiu

    (202) 334-2018
    mchiu@nas.edu

    Location

    National Academy of Sciences Building

    2101 Constitution Ave NW

    Washington DC 20418, USA



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    Randy Freret
    NISS.org
    rfreret@niss.org
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