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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="editorial">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JDS</journal-id>
<journal-title-group><journal-title>Journal of Data Science</journal-title></journal-title-group>
<issn pub-type="epub">1683-8602</issn><issn pub-type="ppub">1680-743X</issn><issn-l>1680-743X</issn-l>
<publisher>
<publisher-name>School of Statistics, Renmin University of China</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JDS243EDI</article-id>
<article-id pub-id-type="doi">10.6339/26-JDS243EDI</article-id>
<article-categories><subj-group subj-group-type="heading">
<subject>Editorial</subject></subj-group></article-categories>
<title-group>
<article-title>Editorial: Government Advances in Statistical Programming (GASP) 2025</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Frehill</surname><given-names>Lisa M.</given-names></name><email xlink:href="mailto:lisa.frehill@gmail.com">lisa.frehill@gmail.com</email><xref ref-type="aff" rid="j_jds243edi_aff_001">1</xref><xref ref-type="corresp" rid="cor1">∗</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Meyer</surname><given-names>Peter B.</given-names></name><xref ref-type="aff" rid="j_jds243edi_aff_002">2</xref><xref ref-type="fn" rid="j_jds243edi_fn_001">†</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Santiago Calderón</surname><given-names>José Bayoán</given-names></name><xref ref-type="aff" rid="j_jds243edi_aff_003">3</xref><xref ref-type="fn" rid="j_jds243edi_fn_001">†</xref>
</contrib>
<aff id="j_jds243edi_aff_001"><label>1</label><institution>George Mason University</institution>, Schar School of Policy and Government, Arlington, VA, <country>USA</country></aff>
<aff id="j_jds243edi_aff_002"><label>2</label><institution>U.S. Bureau of Labor Statistics</institution>, Office of Productivity and Technology, Suitland, MD, <country>USA</country></aff>
<aff id="j_jds243edi_aff_003"><label>3</label><institution>U.S. Bureau of Economic Analysis</institution>, National Economic Accounts, Suitland, MD, <country>USA</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>∗</label>Corresponding author. Email: <ext-link ext-link-type="uri" xlink:href="mailto:lisa.frehill@gmail.com">lisa.frehill@gmail.com</ext-link>.</corresp><fn id="j_jds243edi_fn_001"><label>†</label>
<p>The views expressed in this paper are those of the authors and do not necessarily represent the U.S. Bureau of Economic Analysis, the U.S. Department of Commerce, the U.S. Bureau of Labor Statistics, or any other U.S. government agency.</p></fn>
</author-notes>
<pub-date pub-type="ppub"><year>2026</year></pub-date><pub-date pub-type="epub"><day>12</day><month>8</month><year>2026</year></pub-date><volume content-type="ahead-of-print">0</volume><issue>0</issue><fpage>1</fpage><lpage>5</lpage>
<permissions><copyright-statement>2026 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.</copyright-statement><copyright-year>2026</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Open access article under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY</ext-link> license.</license-p></license></permissions>
</article-meta>
</front>
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