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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:black;background:white">Dear Colleagues,</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;background:white"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:black;background:white">We are happy to announce that the <a href="https://xai4sci.github.io/"><span style="color:#2962FF;text-decoration:none">XAI4Sci</span></a></span><a href="https://xai4sci.github.io/"><span style="font-size:10.5pt;font-family:Roboto;color:#2962FF;background:white;text-decoration:none">:</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#2962FF;background:white;text-decoration:none"> </span><span style="font-size:10.5pt;font-family:Roboto;color:#2962FF;background:white;text-decoration:none">Explainable
 Machine Learning for Sciences</span></a><span style="font-size:10.5pt;font-family:Roboto;color:black;background:white"> </span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:black;background:white">workshop has partnered with <a href="https://iopscience.iop.org/journal/2632-2153"><i><span style="color:#2962FF;text-decoration:none">Machine
 Learning: Science and Technology</span></i></a> journal (IOPublishing) to publish a focused issue on XAI in sciences, with Craig Greenberg of the National Institute of Standards and Technology, </span><span style="font-size:10.5pt;font-family:Roboto;color:black;background:white">Rich
 Caruana</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:black;background:white"> of Microsoft Research, and myself as guest editors. </span><o:p></o:p></p>
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<p class="MsoNormal" style="background:white"><i><span style="font-size:10.5pt;font-family:Roboto;color:black">Machine Learning: Science and Technology</span></i><span style="font-size:10.5pt;font-family:Roboto;color:black"> is a multidisciplinary open-access
 journal that bridges the application of machine learning across the sciences with advances in machine learning methods and theory as motivated by physical insights.</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:black"><br>
<br>
The submission site opens on <b>April 1st, 2024</b>, and will remain open until <b>
June 30th, 2024</b>.</span><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:black">Feel free to reach out to us at </span><span style="font-size:10.5pt;font-family:Roboto;color:black"><a href="http://xai4sci2024@gmail.com/"><span style="color:#2962FF;text-decoration:none">xai4sci2024@gmail.com</span></a> if
 you are interested in submitting your work for consideration in the focused issue or if you have any questions.</span><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-size:10.5pt;font-family:Roboto;color:black">Best,</span><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:10.5pt;font-family:Roboto;color:black">Justyna, Craig, and Rich</span><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><i><span style="font-size:10.0pt;font-family:Roboto;color:black">Applied and Computational Mathematics Division<br>
</span></i><span style="font-size:10.0pt;font-family:Roboto;color:black">National Institute of Standards and Technology<br>
100 Bureau Drive, Stop 8910<br>
Gaithersburg, MD 20899-8910 USA<br>
Phone: (301) 975-0527<br>
Email: <a href="http://jpzwolak@nist.gov/"><span style="color:#2962FF;text-decoration:none"> jpzwolak@nist.gov</span></a></span><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
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