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<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">Hello all ~</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">Constellate, the new text analysis service from ITHAKA (the same people who bring you JSTOR), has a number of interesting, free public events in March and April—register
 to attend live or participate asynchronously through video recordings and our Slack (</span><a href="https://join.slack.com/t/ithaka-constellate/shared_invite/zt-2bai3e344-PTYlVN~csPJHMV7iG4kZUw"><span style="font-family:"Calibri",sans-serif;color:#1155CC">join
 our Slack community here</span></a><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">).</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">If you have an interest in Large Language Models (advanced artificial intelligence systems that use deep learning techniques to understand and generate human-like
 text based on vast amounts of training data):</span><o:p></o:p></p>
<ul style="margin-top:0in;padding-inline-start:48px" type="disc">
<li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level1 lfo1;vertical-align:baseline">
<b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Gender bias and stereotypes in Large Language Models
</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">is a webinar on research that shows how four recently published LLMs express biased assumptions about men and women’s occupations.<o:p></o:p></span></li><ul style="margin-top:0in;padding-inline-start:48px" type="circle">
<li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level2 lfo1;vertical-align:baseline">
<span style="font-size:11.0pt;font-family:"Calibri",sans-serif">March 15, noon-1pm EDT<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level2 lfo1;vertical-align:baseline">
<span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><a href="https://constellate.org/events/gender-bias-and-stereotypes-in-large-language-models"><span style="font-size:12.0pt;color:#1155CC">Register for the Gender bias and stereotypes in Large
 Language Models webinar</span></a><o:p></o:p></span></li></ul>
<li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level1 lfo1;vertical-align:baseline">
<b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Introduction to Language Models - also-known-as, how does ChatGPT work?</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Is a five-part webinar series providing a detailed
 explanation of the neural networks of large language models.<o:p></o:p></span></li><ul style="margin-top:0in;padding-inline-start:48px" type="circle">
<li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level2 lfo1;vertical-align:baseline">
<span style="font-size:11.0pt;font-family:"Calibri",sans-serif">March 20-March 29 at 10 am and 3:30 pm EDT<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level2 lfo1;vertical-align:baseline">
<span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><a href="https://constellate.org/events/chatgpt"><span style="font-size:12.0pt;color:#1155CC">Register for Introduction to Language Models -- also-known-as, how does ChatGPT work? Series</span></a><o:p></o:p></span></li></ul>
<li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level1 lfo1;vertical-align:baseline">
<b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Supporting Text Analysis and Language Models in the Library (ACRL DSS Workshop Series)</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> is a three-part workshop series
 for librarians and archivists hosted by Constellate and the ACRL Digital Scholarship Section (DSS) Professional Development Committee, in collaboration with the DSS Numeric and Geospatial Data Services Discussion Group, the DSS Digital Humanities Discussion
 Group, the DSS Digital Scholarship Center Discussion Group, the DSS Open Research Discussion Group, the DSS Data Information Literacy Discussion Group.<o:p></o:p></span></li><ul style="margin-top:0in;padding-inline-start:48px" type="circle">
<li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level2 lfo1;vertical-align:baseline">
<span style="font-size:11.0pt;font-family:"Calibri",sans-serif">April 1, 3, and 5, 3-4:30 pm EDT<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level2 lfo1;vertical-align:baseline">
<span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><a href="https://constellate.org/events/supporting-text-analysis-and-language-models-in-the-library-acrl-dss-special-class"><span style="font-size:12.0pt;color:#1155CC">Register for Supporting
 Text Analysis and Language Models in the Library</span></a><o:p></o:p></span></li></ul>
</ul>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">If you are not yet ready to code, but want to learn about text analysis topics, we are excited to introduce you to our key concept tutorials (all are welcome to
 attend any of these identical sessions, but please be aware that these new features will only be available to the users at our participating institutions.)  </span><o:p></o:p></p>
<ul style="margin-top:0in;padding-inline-start:48px" type="disc">
<li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l1 level1 lfo2;vertical-align:baseline">
<b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Learning key concepts in text analysis with interactive applications<o:p></o:p></span></b></li></ul>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:0in;margin-left:1.0in;text-indent:-.25in;mso-list:l0 level1 lfo3;vertical-align:baseline">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">March 18 at 10 am and 3:30 pm EDT <o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:0in;margin-left:1.0in;text-indent:-.25in;mso-list:l0 level1 lfo3;vertical-align:baseline">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:black"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black"><a href="https://constellate.org/events/pre-code-tutorials"><span style="font-size:12.0pt;color:#1155CC">Register for Learning key concepts in text analysis
 with interactive applications </span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">You are welcome to
</span><a href="https://constellate.org/events"><span style="font-family:"Calibri",sans-serif;color:#1155CC">follow our events page</span></a><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black"> for all our future public events on text
 analysis, computational research, and artificial intelligence.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">~ Amy</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">--</span><o:p></o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">Amy J. Kirchhoff (she/her)</span><o:p></o:p></p>
<p style="margin:0in"><a href="https://constellate.org/"><span style="font-family:"Calibri",sans-serif;color:#0563C1">Constellate</span></a><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black"> Sr. Manager / ITHAKA </span><o:p></o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">Twitter: @AmyPlusFour</span><o:p></o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black"> </span><o:p></o:p></p>
<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">Constellate is the only text analysis and data skills platform that integrates access to scholarly content and open educational resources into a cloud-based application
 and lab to help faculty, librarians, and other instructors easily teach text analysis and data skills.</span><o:p></o:p></p>
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<p style="margin:0in"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">Take your research further with text and data analysis skills!</span><o:p></o:p></p>
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