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      <title>Why social science needs to embrace machine learning</title>
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      <pubDate>Fri, 06 Jun 2025 00:00:00 +0000</pubDate>
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&lt;p&gt;&lt;strong&gt;Quick note&lt;/strong&gt;: This is just the first post in a series; think of it as a short introduction.&lt;/p&gt;
&lt;p&gt;I&amp;rsquo;m a social scientist, and unlike many in my field, I genuinely enjoy math and statistics. My friend Petar jokes that statistics isn&amp;rsquo;t &lt;em&gt;real&lt;/em&gt; math, but I&amp;rsquo;ll leave that debate for another time.&lt;/p&gt;
&lt;p&gt;What matters is that social science has long struggled to explain society&amp;rsquo;s complexity. We rely heavily on methods like surveys, interviews, and content analysis. These are useful but often fall short when predicting or uncovering &lt;em&gt;causal relationships&lt;/em&gt;. Society is messy, and humans are unpredictable.&lt;/p&gt;</description>
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