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<div class="quarto-title-block"><div><h1 class="title">Practical Applications and Approaches in GeoAI</h1><button type="button" class="btn code-tools-button" id="quarto-code-tools-source"><i class="bi"></i> Code</button></div></div>
<p class="subtitle lead">GEOG 288KC: Geospatial Foundation Models and Applications</p>
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<div class="description">
Fall 2025
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<div class="quarto-figure quarto-figure-center">
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<p><img src="images/geoai-banner.png" class="quarto-figure quarto-figure-center figure-img" style="height:5in" alt="Geospatial AI visualization"></p>
</figure>
</div>
<div class="gray-text center-text">
<p><em>Practical skills for geospatial AI applications</em></p>
</div>
<section id="course-description" class="level2">
<h2 class="anchored" data-anchor-id="course-description">Course Description</h2>
<p>This accelerated, hands-on seminar provides practical skills for working with state-of-the-art geospatial foundation models. Students learn to access, process, and analyze satellite imagery using modern tools, apply foundation models to real-world problems, and implement independent projects in environmental monitoring and analysis.</p>
<p>By the end of the course, students will be able to:</p>
<ul>
<li>Access and process satellite imagery using STAC APIs and cloud platforms</li>
<li>Apply preprocessing pipelines for multi-temporal remote sensing data</li>
<li>Train custom CNN models for land cover classification and change detection</li>
<li>Load and fine-tune pretrained geospatial foundation models</li>
<li>Implement spatiotemporal analysis for environmental monitoring applications</li>
<li>Design and execute independent research projects using geospatial AI</li>
</ul>
</section>
<section id="getting-started-with-the-ucsb-ai-sandbox" class="level2">
<h2 class="anchored" data-anchor-id="getting-started-with-the-ucsb-ai-sandbox">Getting Started with the UCSB AI Sandbox</h2>
<p><a href="../installation/GRIT_SETUP.md">Here</a> are detailed instructions for setting up the class environment on the UCSB AI Sandbox, including foundation model installation and GPU optimization. This should all be taken care of for the class, but could be helpful if you are interested in deploying our class infrastructure on a different server or a local machine.</p>
</section>
<section id="course-structure-10-week-format" class="level2">
<h2 class="anchored" data-anchor-id="course-structure-10-week-format">Course Structure: 10-Week Format</h2>
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<p></p><figure class="figure"><p></p>
<div>
<pre class="mermaid mermaid-js">flowchart TD
subgraph Phase1 ["π Phase 1: Structured Learning (Weeks 1-5)"]
direction LR
W1["π<br/>Week 1<br/>Core Tools<br/>Data Access"] --> W2["β‘<br/>Week 2<br/>Preprocessing<br/>Cloud Processing"]
W2 --> W3["π€<br/>Week 3<br/>ML & CNNs<br/>Classification"]
W3 --> W4["ποΈ<br/>Week 4<br/>Foundation Models<br/>Feature Extraction"]
W4 --> W5["π§<br/>Week 5<br/>Fine-Tuning<br/>Transfer Learning"]
end
subgraph Phase2 ["π― Phase 2: Independent Project Development (Weeks 6-10)"]
direction LR
W6["π<br/>Week 6<br/>Project Proposals<br/>Planning"] --> W7["π¬<br/>Week 7<br/>Initial Implementation<br/>MVPs"]
W7 --> W8["βοΈ<br/>Week 8<br/>Development<br/>Refinement"]
W8 --> W9["π<br/>Week 9<br/>Analysis<br/>Results"]
W9 --> W10["π<br/>Week 10<br/>Final Presentations<br/>Deliverables"]
end
Phase1 --> Phase2
style Phase1 fill:#e3f2fd
style Phase2 fill:#fff3e0
style W1 fill:#bbdefb
style W3 fill:#bbdefb
style W5 fill:#bbdefb
style W6 fill:#ffe0b2
style W8 fill:#ffe0b2
style W10 fill:#c8e6c8
</pre>
</div>
<p></p></figure><p></p>
</div>
</div>
</div>
<section id="phase-1-hands-on-practice-weeks-1-5" class="level3">
<h3 class="anchored" data-anchor-id="phase-1-hands-on-practice-weeks-1-5">π Phase 1: Hands-On Practice (Weeks 1-5)</h3>
<ul>
<li><strong>Week 1: Core Tools and Data Access</strong> - STAC APIs, satellite data visualization, NDVI calculation</li>
<li><strong>Week 2: Remote Sensing Preprocessing</strong> - Cloud masking, reprojection, temporal compositing</li>
<li><strong>Week 3: Machine Learning on Remote Sensing</strong> - CNN training, land cover classification, model comparison</li>
<li><strong>Week 4: Foundation Models in Practice</strong> - Loading pretrained models, feature extraction, practical applications</li>
<li><strong>Week 5: Fine-Tuning & Transfer Learning</strong> - Linear probing vs. full fine-tuning, adaptation strategies</li>
</ul>
</section>
<section id="phase-2-independent-project-development-weeks-6-10" class="level3">
<h3 class="anchored" data-anchor-id="phase-2-independent-project-development-weeks-6-10">π― Phase 2: Independent Project Development (Weeks 6-10)</h3>
<ul>
<li><strong>Week 6: Project Proposals & Planning</strong> - Define scope, methodology, and expected outcomes</li>
<li><strong>Week 7: Initial Implementation</strong> - Develop minimum viable product (MVP), early results</li>
<li><strong>Week 8: Development & Refinement</strong> - Expand functionality, optimize performance</li>
<li><strong>Week 9: Analysis & Results</strong> - Generate final results, prepare visualizations</li>
<li><strong>Week 10: Final Presentations</strong> - Present completed projects, peer review, submission of deliverables</li>
</ul>
</section>
</section>
<section id="course-sessions" class="level2">
<h2 class="anchored" data-anchor-id="course-sessions">Course Sessions</h2>
<ul>
<li>Weekly sessions: see navbar β π» weekly sessions</li>
</ul>
</section>
<section id="teaching-team" class="level2">
<h2 class="anchored" data-anchor-id="teaching-team">Teaching Team</h2>
<p><br></p>
<div class="grid">
<div class="g-col-12 g-col-md-4">
<div class="center-text body-text-l">
<p><strong>Instructor</strong></p>
</div>
<div class="quarto-figure quarto-figure-center">
<figure class="figure">
<p><img src="images/kelly.png" class="img-fluid quarto-figure quarto-figure-center figure-img" style="width:45.0%"></p>
</figure>
</div>
<div class="center-text">
<p><span class="teal-text"><strong>Kelly Caylor</strong></span><br>
<strong>Email:</strong> <a href="mailto::caylor@ucsb.edu">caylor@ucsb.edu</a><br>
<strong>Learn more:</strong> <a href="https://bren.ucsb.edu/people/kelly-caylor">Bren profile</a></p>
</div>
</div>
<div class="g-col-12 g-col-md-4">
<div class="center-text body-text-l">
<p><strong>TA</strong></p>
</div>
<div class="quarto-figure quarto-figure-center">
<figure class="figure">
<p><img src="images/anna.png" class="img-fluid quarto-figure quarto-figure-center figure-img" style="width:45.0%"></p>
</figure>
</div>
<div class="center-text">
<p><span class="teal-text"><strong>Anna Boser</strong></span><br>
<strong>Email:</strong> <a href="mailto::annaboser@ucsb.edu">anaboser@ucsb.edu</a><br>
<strong>Learn more:</strong> <a href="https://bren.ucsb.edu/people/anna-boser">Bren profile</a></p>
</div>
</div>
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</script><div class="modal fade" id="quarto-embedded-source-code-modal" tabindex="-1" aria-labelledby="quarto-embedded-source-code-modal-label" aria-hidden="true"><div class="modal-dialog modal-dialog-scrollable"><div class="modal-content"><div class="modal-header"><h5 class="modal-title" id="quarto-embedded-source-code-modal-label">Source Code</h5><button class="btn-close" data-bs-dismiss="modal"></button></div><div class="modal-body"><div class="">
<div class="sourceCode" id="cb1" data-shortcodes="false"><pre class="sourceCode markdown code-with-copy"><code class="sourceCode markdown"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co">---</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="an">title:</span><span class="co"> "Practical Applications and Approaches in GeoAI"</span></span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="an">subtitle:</span><span class="co"> "GEOG 288KC: Geospatial Foundation Models and Applications"</span></span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="an">description:</span><span class="co"> "Fall 2025"</span></span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="an">title-block-banner:</span><span class="co"> false</span></span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="an">toc:</span><span class="co"> false</span></span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="co">---</span></span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="al"></span>{height=5in fig-align="center" alt="Geospatial AI visualization"}</span>
<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a>::: {.gray-text .center-text}</span>
<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a>*Practical skills for geospatial AI applications*</span>
<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a>:::</span>
<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a><span class="fu">## Course Description</span></span>
<span id="cb1-17"><a href="#cb1-17" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-18"><a href="#cb1-18" aria-hidden="true" tabindex="-1"></a>This accelerated, hands-on seminar provides practical skills for working with state-of-the-art geospatial foundation models. Students learn to access, process, and analyze satellite imagery using modern tools, apply foundation models to real-world problems, and implement independent projects in environmental monitoring and analysis.</span>
<span id="cb1-19"><a href="#cb1-19" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-20"><a href="#cb1-20" aria-hidden="true" tabindex="-1"></a>By the end of the course, students will be able to:</span>
<span id="cb1-21"><a href="#cb1-21" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-22"><a href="#cb1-22" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>Access and process satellite imagery using STAC APIs and cloud platforms</span>
<span id="cb1-23"><a href="#cb1-23" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>Apply preprocessing pipelines for multi-temporal remote sensing data</span>
<span id="cb1-24"><a href="#cb1-24" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>Train custom CNN models for land cover classification and change detection</span>
<span id="cb1-25"><a href="#cb1-25" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>Load and fine-tune pretrained geospatial foundation models</span>
<span id="cb1-26"><a href="#cb1-26" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>Implement spatiotemporal analysis for environmental monitoring applications</span>
<span id="cb1-27"><a href="#cb1-27" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>Design and execute independent research projects using geospatial AI</span>
<span id="cb1-28"><a href="#cb1-28" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-29"><a href="#cb1-29" aria-hidden="true" tabindex="-1"></a><span class="fu">## Getting Started with the UCSB AI Sandbox</span></span>
<span id="cb1-30"><a href="#cb1-30" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-31"><a href="#cb1-31" aria-hidden="true" tabindex="-1"></a><span class="co">[</span><span class="ot">Here</span><span class="co">](../installation/GRIT_SETUP.md)</span> are detailed instructions for setting up the class environment on the UCSB AI Sandbox, including foundation model installation and GPU optimization. This should all be taken care of for the class, but could be helpful if you are interested in deploying our class infrastructure on a different server or a local machine. </span>
<span id="cb1-32"><a href="#cb1-32" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-33"><a href="#cb1-33" aria-hidden="true" tabindex="-1"></a><span class="fu">## Course Structure: 10-Week Format</span></span>
<span id="cb1-34"><a href="#cb1-34" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-37"><a href="#cb1-37" aria-hidden="true" tabindex="-1"></a><span class="in">```{mermaid}</span></span>
<span id="cb1-38"><a href="#cb1-38" aria-hidden="true" tabindex="-1"></a><span class="in">flowchart TD</span></span>
<span id="cb1-39"><a href="#cb1-39" aria-hidden="true" tabindex="-1"></a><span class="in"> subgraph Phase1 ["π Phase 1: Structured Learning (Weeks 1-5)"]</span></span>
<span id="cb1-40"><a href="#cb1-40" aria-hidden="true" tabindex="-1"></a><span class="in"> direction LR</span></span>
<span id="cb1-41"><a href="#cb1-41" aria-hidden="true" tabindex="-1"></a><span class="in"> W1["π<br/>Week 1<br/>Core Tools<br/>Data Access"] --> W2["β‘<br/>Week 2<br/>Preprocessing<br/>Cloud Processing"]</span></span>
<span id="cb1-42"><a href="#cb1-42" aria-hidden="true" tabindex="-1"></a><span class="in"> W2 --> W3["π€<br/>Week 3<br/>ML & CNNs<br/>Classification"]</span></span>
<span id="cb1-43"><a href="#cb1-43" aria-hidden="true" tabindex="-1"></a><span class="in"> W3 --> W4["ποΈ<br/>Week 4<br/>Foundation Models<br/>Feature Extraction"]</span></span>
<span id="cb1-44"><a href="#cb1-44" aria-hidden="true" tabindex="-1"></a><span class="in"> W4 --> W5["π§<br/>Week 5<br/>Fine-Tuning<br/>Transfer Learning"]</span></span>
<span id="cb1-45"><a href="#cb1-45" aria-hidden="true" tabindex="-1"></a><span class="in"> end</span></span>
<span id="cb1-46"><a href="#cb1-46" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-47"><a href="#cb1-47" aria-hidden="true" tabindex="-1"></a><span class="in"> subgraph Phase2 ["π― Phase 2: Independent Project Development (Weeks 6-10)"]</span></span>
<span id="cb1-48"><a href="#cb1-48" aria-hidden="true" tabindex="-1"></a><span class="in"> direction LR</span></span>
<span id="cb1-49"><a href="#cb1-49" aria-hidden="true" tabindex="-1"></a><span class="in"> W6["π<br/>Week 6<br/>Project Proposals<br/>Planning"] --> W7["π¬<br/>Week 7<br/>Initial Implementation<br/>MVPs"]</span></span>
<span id="cb1-50"><a href="#cb1-50" aria-hidden="true" tabindex="-1"></a><span class="in"> W7 --> W8["βοΈ<br/>Week 8<br/>Development<br/>Refinement"]</span></span>
<span id="cb1-51"><a href="#cb1-51" aria-hidden="true" tabindex="-1"></a><span class="in"> W8 --> W9["π<br/>Week 9<br/>Analysis<br/>Results"]</span></span>
<span id="cb1-52"><a href="#cb1-52" aria-hidden="true" tabindex="-1"></a><span class="in"> W9 --> W10["π<br/>Week 10<br/>Final Presentations<br/>Deliverables"]</span></span>
<span id="cb1-53"><a href="#cb1-53" aria-hidden="true" tabindex="-1"></a><span class="in"> end</span></span>
<span id="cb1-54"><a href="#cb1-54" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-55"><a href="#cb1-55" aria-hidden="true" tabindex="-1"></a><span class="in"> Phase1 --> Phase2</span></span>
<span id="cb1-56"><a href="#cb1-56" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-57"><a href="#cb1-57" aria-hidden="true" tabindex="-1"></a><span class="in"> style Phase1 fill:#e3f2fd</span></span>
<span id="cb1-58"><a href="#cb1-58" aria-hidden="true" tabindex="-1"></a><span class="in"> style Phase2 fill:#fff3e0</span></span>
<span id="cb1-59"><a href="#cb1-59" aria-hidden="true" tabindex="-1"></a><span class="in"> style W1 fill:#bbdefb</span></span>
<span id="cb1-60"><a href="#cb1-60" aria-hidden="true" tabindex="-1"></a><span class="in"> style W3 fill:#bbdefb</span></span>
<span id="cb1-61"><a href="#cb1-61" aria-hidden="true" tabindex="-1"></a><span class="in"> style W5 fill:#bbdefb</span></span>
<span id="cb1-62"><a href="#cb1-62" aria-hidden="true" tabindex="-1"></a><span class="in"> style W6 fill:#ffe0b2</span></span>
<span id="cb1-63"><a href="#cb1-63" aria-hidden="true" tabindex="-1"></a><span class="in"> style W8 fill:#ffe0b2</span></span>
<span id="cb1-64"><a href="#cb1-64" aria-hidden="true" tabindex="-1"></a><span class="in"> style W10 fill:#c8e6c8</span></span>
<span id="cb1-65"><a href="#cb1-65" aria-hidden="true" tabindex="-1"></a><span class="in">```</span></span>
<span id="cb1-66"><a href="#cb1-66" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-67"><a href="#cb1-67" aria-hidden="true" tabindex="-1"></a><span class="fu">### π Phase 1: Hands-On Practice (Weeks 1-5)</span></span>
<span id="cb1-68"><a href="#cb1-68" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-69"><a href="#cb1-69" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 1: Core Tools and Data Access** - STAC APIs, satellite data visualization, NDVI calculation</span>
<span id="cb1-70"><a href="#cb1-70" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 2: Remote Sensing Preprocessing** - Cloud masking, reprojection, temporal compositing</span>
<span id="cb1-71"><a href="#cb1-71" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 3: Machine Learning on Remote Sensing** - CNN training, land cover classification, model comparison</span>
<span id="cb1-72"><a href="#cb1-72" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 4: Foundation Models in Practice** - Loading pretrained models, feature extraction, practical applications</span>
<span id="cb1-73"><a href="#cb1-73" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 5: Fine-Tuning & Transfer Learning** - Linear probing vs. full fine-tuning, adaptation strategies</span>
<span id="cb1-74"><a href="#cb1-74" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-75"><a href="#cb1-75" aria-hidden="true" tabindex="-1"></a><span class="fu">### π― Phase 2: Independent Project Development (Weeks 6-10)</span></span>
<span id="cb1-76"><a href="#cb1-76" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-77"><a href="#cb1-77" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 6: Project Proposals & Planning** - Define scope, methodology, and expected outcomes</span>
<span id="cb1-78"><a href="#cb1-78" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 7: Initial Implementation** - Develop minimum viable product (MVP), early results</span>
<span id="cb1-79"><a href="#cb1-79" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 8: Development & Refinement** - Expand functionality, optimize performance</span>
<span id="cb1-80"><a href="#cb1-80" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 9: Analysis & Results** - Generate final results, prepare visualizations</span>
<span id="cb1-81"><a href="#cb1-81" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>**Week 10: Final Presentations** - Present completed projects, peer review, submission of deliverables</span>
<span id="cb1-82"><a href="#cb1-82" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-83"><a href="#cb1-83" aria-hidden="true" tabindex="-1"></a><span class="fu">## Course Sessions</span></span>
<span id="cb1-84"><a href="#cb1-84" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-85"><a href="#cb1-85" aria-hidden="true" tabindex="-1"></a><span class="ss">- </span>Weekly sessions: see navbar β π» weekly sessions</span>
<span id="cb1-86"><a href="#cb1-86" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-87"><a href="#cb1-87" aria-hidden="true" tabindex="-1"></a><span class="fu">## Teaching Team</span></span>
<span id="cb1-88"><a href="#cb1-88" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-89"><a href="#cb1-89" aria-hidden="true" tabindex="-1"></a><br></span>
<span id="cb1-90"><a href="#cb1-90" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-91"><a href="#cb1-91" aria-hidden="true" tabindex="-1"></a>::: {.grid}</span>
<span id="cb1-92"><a href="#cb1-92" aria-hidden="true" tabindex="-1"></a>::: {.g-col-12 .g-col-md-4}</span>
<span id="cb1-93"><a href="#cb1-93" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-94"><a href="#cb1-94" aria-hidden="true" tabindex="-1"></a>::: {.center-text .body-text-l}</span>
<span id="cb1-95"><a href="#cb1-95" aria-hidden="true" tabindex="-1"></a>**Instructor**</span>
<span id="cb1-96"><a href="#cb1-96" aria-hidden="true" tabindex="-1"></a>:::</span>
<span id="cb1-97"><a href="#cb1-97" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-98"><a href="#cb1-98" aria-hidden="true" tabindex="-1"></a><span class="al"></span>{width=45% fig-align="center"}</span>
<span id="cb1-99"><a href="#cb1-99" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-100"><a href="#cb1-100" aria-hidden="true" tabindex="-1"></a>::: {.center-text}</span>
<span id="cb1-101"><a href="#cb1-101" aria-hidden="true" tabindex="-1"></a><span class="co">[</span><span class="ot">**Kelly Caylor**</span><span class="co">]</span>{.teal-text} </span>
<span id="cb1-102"><a href="#cb1-102" aria-hidden="true" tabindex="-1"></a>**Email:** <span class="co">[</span><span class="ot">caylor@ucsb.edu</span><span class="co">](mailto::caylor@ucsb.edu)</span> </span>
<span id="cb1-103"><a href="#cb1-103" aria-hidden="true" tabindex="-1"></a>**Learn more:** <span class="co">[</span><span class="ot">Bren profile</span><span class="co">](https://bren.ucsb.edu/people/kelly-caylor)</span> </span>
<span id="cb1-104"><a href="#cb1-104" aria-hidden="true" tabindex="-1"></a>:::</span>
<span id="cb1-105"><a href="#cb1-105" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-106"><a href="#cb1-106" aria-hidden="true" tabindex="-1"></a>:::</span>
<span id="cb1-107"><a href="#cb1-107" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-108"><a href="#cb1-108" aria-hidden="true" tabindex="-1"></a>::: {.g-col-12 .g-col-md-4}</span>
<span id="cb1-109"><a href="#cb1-109" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-110"><a href="#cb1-110" aria-hidden="true" tabindex="-1"></a>::: {.center-text .body-text-l}</span>
<span id="cb1-111"><a href="#cb1-111" aria-hidden="true" tabindex="-1"></a>**TA**</span>
<span id="cb1-112"><a href="#cb1-112" aria-hidden="true" tabindex="-1"></a>:::</span>
<span id="cb1-113"><a href="#cb1-113" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-114"><a href="#cb1-114" aria-hidden="true" tabindex="-1"></a><span class="al"></span>{width=45% fig-align="center"}</span>
<span id="cb1-115"><a href="#cb1-115" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-116"><a href="#cb1-116" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-117"><a href="#cb1-117" aria-hidden="true" tabindex="-1"></a>::: {.center-text}</span>
<span id="cb1-118"><a href="#cb1-118" aria-hidden="true" tabindex="-1"></a><span class="co">[</span><span class="ot">**Anna Boser**</span><span class="co">]</span>{.teal-text} </span>
<span id="cb1-119"><a href="#cb1-119" aria-hidden="true" tabindex="-1"></a>**Email:** <span class="co">[</span><span class="ot">anaboser@ucsb.edu</span><span class="co">](mailto::annaboser@ucsb.edu)</span> </span>
<span id="cb1-120"><a href="#cb1-120" aria-hidden="true" tabindex="-1"></a>**Learn more:** <span class="co">[</span><span class="ot">Bren profile</span><span class="co">](https://bren.ucsb.edu/people/anna-boser)</span></span>
<span id="cb1-121"><a href="#cb1-121" aria-hidden="true" tabindex="-1"></a>:::</span>
<span id="cb1-122"><a href="#cb1-122" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-123"><a href="#cb1-123" aria-hidden="true" tabindex="-1"></a>:::</span>
<span id="cb1-124"><a href="#cb1-124" aria-hidden="true" tabindex="-1"></a>:::</span>
</code><button title="Copy to Clipboard" class="code-copy-button" data-in-quarto-modal=""><i class="bi"></i></button></pre></div>
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