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<p class="MsoNormal" style="margin-bottom:8.0pt;mso-line-height-alt:10.45pt"><b><i><span style="font-size:18.0pt;font-family:"Arial",sans-serif;color:#2980B9">GradQuant Stata Workshop Series with Dr. Chuck Huber</span></i></b><span style="font-size:18.0pt"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:8.0pt;line-height:11.75pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">
<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Tuesday, 5/9; 10:00am - 3:00pm in </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"> </span><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#E74C3C">[IN-PERSON]</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#2980B9"> </span></i></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:8.0pt;line-height:11.75pt"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">10:00am - How to Create Basic Stata Commands</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:8.0pt;line-height:11.75pt"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">11:00am - How to Create Basic Stata Estimation Commands</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">1:00pm - Linear Regression, Margins, and Marginsplot</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">2:00pm - Introduction to Customizable Tables</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#2980B9"> </span></i></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<strong><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#003DA5">Speaker's Bio:</span></strong><span style="font-size:11.0pt;font-family:"Calibri Light",sans-serif;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;font-family:"Calibri Light",sans-serif;color:#1F3763"> </span><span style="font-size:11.0pt;font-family:"Calibri Light",sans-serif;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<strong><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#003DA5">Dr. Chuck Huber, Director of Statistical Outreach, StataCorp</span></strong><span style="font-size:11.0pt;font-family:"Calibri Light",sans-serif;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt"> <o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Helvetica",sans-serif;color:#455A64">Chuck Huber is Director of Statistical Outreach at </span><a href="https://www.stata.com/" target="_blank"><span style="font-size:11.0pt;font-family:"Helvetica",sans-serif;color:#F4002B">StataCorp</span></a><span style="font-size:11.0pt;font-family:"Helvetica",sans-serif;color:#455A64"> and
Adjunct Associate Professor of Biostatistics at New York University. In addition to working with Stata’s team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives
talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention,
nutrition and birth defects.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt"> <o:p></o:p></span></p>
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<strong><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#003DA5">Session Information:</span></strong><span style="font-size:11.0pt;font-family:"Calibri Light",sans-serif;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;font-family:"Calibri Light",sans-serif;color:#1F3763"> </span><span style="font-size:11.0pt;font-family:"Calibri Light",sans-serif;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<strong><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#003DA5">1.How to Create Basic Stata Commands</span></strong><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 09, 10:00AM - 11:00AM, </span><span style="font-size:11.0pt;color:#1F3763"> </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;color:black"> </span><span style="font-size:11.0pt;color:#E74C3C;font-weight:normal">[IN-PERSON]</span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black">This talk will introduce the basics of creating custom Stata commands. You will learn how to store things in memory, where Stata stores things in memory and how to access them, how to handle conditions and branching,
and how to use loops. We will then demonstrate how to use these tools to write custom Stata commands using -program-, -args-, and -syntax-. You will learn how to write commands to perform simple calculations, post-estimation calculations, and create your
own graphics commands. Note that this talk does not demonstrate how to create your own estimation commands.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:8.0pt;line-height:11.75pt"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<h6 style="mso-margin-top-alt:2.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in;line-height:11.75pt">
<strong><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#003DA5">2. How to Create Basic Stata Estimation Commands</span></strong><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 09, 11:00AM - 12:00AM, </span><span style="font-size:11.0pt;color:#1F3763"> </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;color:black"> </span><span style="font-size:11.0pt;color:#E74C3C;font-weight:normal">[IN-PERSON]</span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black">This talk is a continuation of How to Create Basic Stata Commands. I will demonstrate how to create a basic estimation command for personal use. You will learn how to create a command to convert Stata variables to
matrices, use matrix calculations to fit models, and display the results in standard Stata output. Then you will learn how to create commands that use -ml- to maximize likelihood functions. We will also demonstrate how to adapt your commands to handle survey
weights.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:#1F3763"> </span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#003DA5">3.Linear Regression, Margins, and Marginsplot</span></strong><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 09, 1:00PM - 2:00PM, </span><span style="font-size:11.0pt;color:#1F3763"> </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;color:black"> </span><span style="font-size:11.0pt;color:#E74C3C;font-weight:normal">[IN-PERSON]</span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black">In this talk I demonstrate how to fit linear regression models which include continuous, binary, and categorical covariates. I show how to use Stata's factor variable notation to fit models with interactions, and how
to use Stata's -margins- and -marginsplot- commands to visualize the results of the models.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:8.0pt;line-height:11.75pt"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<h6 style="line-height:14.45pt"><strong><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#003DA5">4. Introduction to Customizable Tables</span></strong><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 09, 2:00AM - 3:00PM, </span><span style="font-size:11.0pt;color:#1F3763"> </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;color:black"> </span><span style="font-size:11.0pt;color:#E74C3C;font-weight:normal">[IN-PERSON]</span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
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<span style="font-size:11.0pt;color:black">This talk will introduce the new customizable tables in Stata 17. You will learn how to easily create cross tabulations, tables of summary statistics, and tables of regression results using the updated -table- command.
You will also see how you can create customized tables after you collect results from any Stata command. This means your table can include summary statistics, results of standard hypothesis tests, regression results, and results of tests and fit statistics
obtained after model fitting. With the results collected from Stata commands, you will learn how to specify a table layout---what belongs on the rows and columns---and how to customize the look of the table. You can modify labels in headers, numerical format,
text alignment, cell shading, border lines, and much more. You will also learn how to export your customized tables to Word, Excel, PDF, LaTeX, HTML, Markdown, SMCL, and plain text.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<a href="https://ucr.mywconline.com/" target="_blank"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:white;background:#329AF0;font-weight:normal">CLICK TO REGISTER</span></a><span style="font-size:13.0pt;font-family:"Calibri Light",sans-serif;color:#2F5496;font-weight:normal"><o:p></o:p></span></h2>
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<span style="font-size:12.0pt;font-family:"Arial",sans-serif"> </span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">For more information, Please visit</span></strong><strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;font-weight:normal"> </span></strong><a href="https://gradquant.ucr.edu/programs/workshops/spring-2023" target="_blank"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif">GradQuant
Website</span></b></a><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#2980B9"> </span></i></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">To register on WC Online for </span></strong><strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif">GradQuant<span style="color:black"> workshops, </span></span></strong><a href="https://mx.technolutions.net/ss/c/0xN2WHGS76Iu0AkPY1AuAuQWmnXR-jNP1DF9QekCBx_4ode5wHA8F9Mr96e3pQ3I/3vm/sBmgG_aZTj-PloNrlf9cfg/h5/G1478GZ1Cntcs3WYscYUvwn0EUamVDizdLZUlZRXXn4" target="_blank" title="https://ucr.mywconline.com/"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#4472C4">click
here</span></b></a><strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#4472C4">.</span></strong><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#2980B9">----------------------------------------------------------------------------------------------</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:black">Other Related Workshops at GradQuant:</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#2980B9"> </span></i></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#2980B9">Causal Inference: What's Trending in Difference-in-Differences</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><br>
Tuesday, May 2nd (5/2)<br>
2:00pm - 3:50pm in </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"> </span><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#E74C3C">[IN-PERSON]</span></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><br>
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Join us to learn the most popular policy analysis method - Difference in Differences. Our session covers step-by-step instructions for model setup and robustness checks regarding staggered design.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#3D85C6">Bringing Satellite Data Down to Earth</span></i></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Presented by: Guest Speaker (Department of Computer Science and Engineering)</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Wednesday, May 17 (5/17)</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">10:00AM - 12:00PM in </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"> </span><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#E74C3C">[IN-PERSON]</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Check out this workshop to explore satellite images! We will play with general operations that data scientists will do, and then we will introduce the going on research work in handling
large scaled satellite images (e.g. </span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:red">PM2.5, nightlight</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">) from UCR Big-Data-Lab.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#3D85C6">Bootstrapping and Randomization Inference with Stata</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><br>
Tuesday, June 6 (6/6)<br>
2:00pm - 3:50pm in </span><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155CC">LFSC
1425</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"> </span><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#E74C3C">[IN-PERSON]</span></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"><br>
Join us to learn the most popular policy analysis method - Difference in Differences. Our session covers step-by-step instructions for model setup and robustness checks regarding staggered design.<br>
</span><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Come join us and learn about resampling methods (e.g. bootstrapping) that can enhance accuracy and help quantify the uncertainty of a population parameter.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">For more information, Please visit the</span></strong><strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;font-weight:normal"> </span></strong><a href="https://gradquant.ucr.edu/programs/workshops/spring-2023" target="_blank"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif">GradQuant
Website</span></b></a><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">To register on WC Online for </span></strong><strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif">GradQuant<span style="color:black"> workshops, </span></span></strong><a href="https://mx.technolutions.net/ss/c/0xN2WHGS76Iu0AkPY1AuAuQWmnXR-jNP1DF9QekCBx_4ode5wHA8F9Mr96e3pQ3I/3vm/sBmgG_aZTj-PloNrlf9cfg/h5/G1478GZ1Cntcs3WYscYUvwn0EUamVDizdLZUlZRXXn4" target="_blank" title="https://ucr.mywconline.com/"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#4472C4">click
here</span></b></a><strong><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#4472C4">.</span></strong><span style="font-size:11.0pt"><o:p></o:p></span></p>
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