updated speaker

Author: melissadonati

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     <description>Site for Brainhack Donostia 2025</description>
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-    <pubDate>Fri, 27 Jun 2025 13:23:15 +0200</pubDate>
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+    <pubDate>Mon, 30 Jun 2025 13:53:37 +0200</pubDate>
+    <lastBuildDate>Mon, 30 Jun 2025 13:53:37 +0200</lastBuildDate>
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-        <title>Coming soon</title>
+        <title>How to reduce the carbon footprint of your research computing</title>
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         <pubDate>Tue, 19 Nov 2024 00:00:00 +0100</pubDate>

_site/index.html

@@ -240,7 +240,7 @@ <h2 class="white mb-3">We're currently working on the list of selected talks!</h
                         <img src="img/portfolio/nick_souter_noback.png" class="img-responsive img-centered" alt="">
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-                        <h4>Coming soon</h4>
+                        <h4>How to reduce the carbon footprint of your research computing</h4>
                         <p class="text-muted">Nick Souter - Research Fellow  <br /> @ University of Sussex </p>
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@@ -892,10 +892,12 @@ <h4 style="color:Yellow;">Location:</h4>
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-                            <h2>Coming soon</h2>
+                            <h2>How to reduce the carbon footprint of your research computing</h2>
                             <hr class="star-primary">
                             <img src="img/portfolio/nick_souter.jpg" class="img-responsive img-centered" alt="image-alt">
-                            <p>The abstract of Nick's talk will be uploaded soon!</p>
+                            <p>The storage and processing of large datasets, including neuroimaging data, uses energy, and therefore has a carbon footprint. This session will focus on how computing leads to carbon emissions, and what can be done to reduce your personal research computing footprint. Specifically, context will be provided on: <br />
+- The scale of impact of the ICT sector on the climate <br /> - The impact of accumulating unused ‘dark data’ <br /> - The importance of carbon intensity <br /> - How to cut back on unnecessary computing <br /> - Current methods for tracking computing energy usage and carbon emissions <br />
+The content discussed here will include specific examples from neuroimaging research, including how one can reduce the carbon footprint of preprocessing in fMRIPrep, and the effect of fMRI software choice on energy usage. The messages and approaches discussed here will also apply to any discipline requiring the processing of large amounts of data, beyond neuroimaging alone.</p>
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