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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">1832</journal-id>
      <journal-title-group>
        <journal-title>Journal of Cultural Analytics</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2371-4549</issn>
      <publisher>
        <publisher-name>Center for Digital Humanities, Princeton University</publisher-name>
      </publisher>
      <self-uri xlink:href="https://culturalanalytics.org/">Website: Journal of Cultural Analytics</self-uri>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">22335</article-id>
      <article-id pub-id-type="doi">10.22148/001c.22335</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Introduction: Contemporary Culture After Data Science</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>So</surname>
            <given-names>Richard Jean</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2021-04-20">
        <day>20</day>
        <month>4</month>
        <year>2021</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection" iso-8601-date="2021-04-21">
        <year>2021</year>
      </pub-date>
      <volume>6</volume>
      <issue seq="0">2</issue>
      <issue-title>Post-45 by the Numbers</issue-title>
      <elocation-id>22335</elocation-id>
      <history>
        <date date-type="received" iso-8601-date="2020-11-01">
          <day>1</day>
          <month>11</month>
          <year>2020</year>
        </date>
        <date date-type="accepted" iso-8601-date="2021-01-01">
          <day>1</day>
          <month>1</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access">
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">
              http://creativecommons.org/licenses/by/4.0
            </ali:license_ref>
          <license-p>
              This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">Creative Commons Attribution License (4.0)</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
            </license-p>
        </license>
      </permissions>
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      <abstract>
        <p>This essay introduces the articles found in this special joint issue of Post-45 and the Journal of Cultural Analytics, “Post-45 by the Numbers.” It foregrounds the affordances of computational methods for the study of contemporary culture and literature, and offers brief summaries of each of the eight essays that follow in this special issue.</p>
      </abstract>
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        <kwd>contemporary</kwd>
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        <kwd>literature</kwd>
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  </front>
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