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    <title>Reproducible Research on Kailas Venkitasubramanian</title>
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    <description>Recent content in Reproducible Research on Kailas Venkitasubramanian</description>
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      <title>Embracing multilingualism in data science</title>
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      <pubDate>Thu, 10 Apr 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Both of those efforts — reproducibility and pipelines — rest on a more basic question: which programming languages should a small research team actually use? In the previous posts of this series, I covered &#xA;&lt;a href=&#34;/blog/series/reproducible-research-series/2022-07-08-building-blocks-of-a-reproducible-research-framework/&#34;&gt;why reproducibility matters&lt;/a&gt; and how we are &#xA;&lt;a href=&#34;/blog/series/reproducible-research-series/2022-04-10-designing-reproducible-data-pipelines/&#34;&gt;designing reproducible data pipelines&lt;/a&gt; at the UNC Charlotte Urban Institute. This post is about the layer underneath both.&lt;/p&gt;&#xA;&lt;p&gt;Specifically, I want to argue that embracing &lt;em&gt;multilingualism&lt;/em&gt;&amp;mdash;fluency in both R and Python, rather than loyalty to one&amp;mdash;has quietly done more for our team&amp;rsquo;s output than almost any other choice we&amp;rsquo;ve made.&lt;/p&gt;</description>
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      <title>Designing Reproducible Data Pipelines for Community Research</title>
      <link>/blog/series/reproducible-research-series/2022-04-10-designing-reproducible-data-pipelines/</link>
      <pubDate>Sat, 09 Mar 2024 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;In the first post of this series, I argued that reproducibility is not a technical luxury for community research institutions—it is an ethical and operational obligation. In this post, I want to move from philosophy to plumbing—because this is where reproducibility becomes real.&lt;/p&gt;&#xA;&lt;p&gt;Specifically: what does it mean to design &lt;em&gt;reproducible data pipelines&lt;/em&gt; in a community research environment?&lt;/p&gt;&#xA;&lt;p&gt;At the UNC Charlotte Urban Institute, this question became concrete as we built the &lt;strong&gt;Quality of Life Explorer&lt;/strong&gt;, developed deposit and extraction pipelines for the &lt;strong&gt;Charlotte Regional Data Trust&lt;/strong&gt;, and began orchestrating workflows using Apache Airflow in an AWS environment.&lt;/p&gt;</description>
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      <title>Reproducible Research Framework at the Charlotte Urban Institute: Why It Matters Now</title>
      <link>/blog/series/reproducible-research-series/2022-07-08-building-blocks-of-a-reproducible-research-framework/</link>
      <pubDate>Fri, 08 Jul 2022 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;In recent years, conversations about reproducibility have moved from academic journals into policy circles, foundations, and government agencies. What was once framed as a “replication crisis” in psychology has broadened into a wider concern about the credibility, transparency, and cumulative nature of scientific work across disciplines (Open Science Collaboration, 2015).&lt;/p&gt;&#xA;&lt;p&gt;For those of us engaged in quantitative community research—especially in dynamic regional contexts like the Charlotte metropolitan area—reproducibility is not merely a philosophical concern. It is an operational one.&lt;/p&gt;</description>
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