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    <title>Geospatial on This Hollow Earth — Geospatial Tech &amp; ESG Supply Chain Risk</title>
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      <title>CYNTHIA - Landscape 2 Product</title>
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      <pubDate>Tue, 08 Sep 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;From environmental landscape risk to product environmental passport, a pipeline.&lt;/p&gt;</description>
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      <title>WALTER - Environmental Supply Chain Risk Radar</title>
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      <pubDate>Tue, 08 Sep 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;A quarterly decision radar for navigating environmental risk in global supply chains&lt;/p&gt;
&lt;p&gt;Environmental risk in commodity supply chains is hard to understand. Regulations are emerging and changing. Climate and ecological conditions are shifting. New satellite, geospatial and AI capabilities are producing more data. Commodity supply chains increasingly intersect with questions of water, forests, biodiversity, land degradation and ecosystem resilience. At the same time, companies, investors and consultants are being asked to turn all of this complexity into practical decisions.&lt;/p&gt;</description>
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      <title>Conference Notes: Stanford AI, OGC Helsinki, and Digital Twins</title>
      <link>https://thishollow.earth/posts/stanford-helsinki-digital-twins-conference-notes/</link>
      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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      <description>Observations from speaking at Stanford&amp;#39;s Sustainable AI conference and OGC Helsinki: digital twins, geospatial AI paradoxes, and commercial vs. nerd conferences.</description>
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      <title>Why Feature Data, Not Models, Is Geospatial AI&#39;s Real Bottleneck</title>
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      <pubDate>Wed, 11 Feb 2026 00:00:00 +0000</pubDate>
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      <description>On companies training their own models on top of foundational models, and why inconsistent feature data (not model quality) is the overlooked constraint in geospatial AI.</description>
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