Merge pull request #41 from higgi13425/operations

added workshop for Joy

docs/search.json

@@ -96,5 +96,33 @@
  "title": "R/Medicine 2024",
  "section": "",
  "text": "We are seeking Abstracts for:\n\nLightning talks (10 min, Thursday or Friday June 13-14) Can pre-record so that you can be live on chat to answer questions\nRegular talks (20 min, Thursday or Friday June 13-14) Can pre-record so that you can be live on chat to answer questions\nDemos - (1 hour demo of an approach or a package, Wednesday June 12) Done live, preferably interactive\nWorkshops - 2-3 hours on a topic, on Monday or Tuesday Jan 10-11, usually with a website and a repo, participants can choose to code along. Usually 5-10 min breaks each hour.\nPosters for the poster session on Wednesday June 12. Can include live (virtual) demos of an app or a package.\n\nAn abstract proposal should describe a presentation of methodology, a study or project, or an example or case study relevant to one (or more) of our fields of interest, with R-based tools having a substantial role in the work.  The content of the presentation should be of interest to the R/Medicine community.\nDates to Remember\nCFP Closes:  Monday, April 22 at 11:59 PM EDT\nCFP Notifications:  April 29\nSchedule Announcement:  May 6\nPre-Recorded Video Submission:  June 3\nR/Medicine 2024 Conference:  Monday, June 10  to  Friday, June 14\nImportant Notes\nAll speakers are required to adhere to our Code of Conduct. We also highly recommend that speakers take our online Inclusive Speaker Orientation Course.\nThe Chat\nR/Medicine has a strong tradition of active discussion in a virtual chat during virtual presentations, and this discussion is much better if the presenter or a co-presenter is active in the chat, sharing relevant links and answering questions during the presentation. If you are planning to be a solo presenter for a talk on Thursday or Friday, plan to prerecord your talk to submit by June 3, and to attend (virtually) in person to actively participate in the chat. If you have relevant links in your presentation, put them in a document ahead of time so that you can easily drop them into the chat when appropriate. If you have a co-presenter, decide who will present and who will chat (or take turns at a natural switching point).\nPanel submissions must include the names of all participants in the initial submission in order to be considered.  The Linux Foundation does not accept submissions with all-male panels, in an effort to increase speaker diversity.\nComplimentary Passes For Speakers: One complimentary pass for the event will be provided for the accepted primary speaker and a co-speaker. For panel sessions, each panelist will receive a complimentary pass. \nAvoid sales or marketing pitches and discussion of unlicensed or potentially closed-source technologies in your proposal. Talks of this nature are almost always rejected because they diminish the integrity of our events and are rarely well-received by conference attendees.\nAll accepted speakers are required to submit their presentation slides (and prerecorded presentation videos) by June 3, prior to the event.\nPoster sessions can be a static rectangular graphic, and can include a ‘share window’ where you can do short demos for folks who (virtually) walk up to your poster.\nPreparing to Submit Your Proposal\nWe do not intend to provide strict instructions on how to prepare your proposal; however, we hope you will review the following guidelines to help you prepare the best submission possible.  To get started, here are three questions you should consider before submitting your proposal:\n\nWhat are you hoping to get from your presentation?\nWhat do you expect the audience to gain from your presentation?\nHow will your presentation help better the R Medicine ecosystem?\n\nThere are many ways to give a presentation about projects and technologies without focusing on company-specific efforts.\nRemember the questions above when writing your proposal, and think of ways to make it interesting for attendees as you share your experiences, educate the community about a method or an issue, or generate interest in a project.\nFirst Time Submitting? Don’t Feel Intimidated\nLinux Foundation events are an excellent place for getting to know the community and sharing your ideas and the work you are doing.  We strongly encourage first-time speakers to submit talks for our events.  If you aren’t sure about your abstract, reach out to us and we will be happy to provide advice on your proposal.\nHow To Give a Great Tech Talk\nIf your talk is accepted, we want to help you give the best presentation possible.  To do this, we enlisted the assistance of seasoned conference speaker Josh Berkus, who has prepared this in-depth tutorial on “How to Give a Great Tech Talk”:\nPart 1: http://www.youtube.com/watch?v=iE9y3gyF8Kw\nPart 2: http://www.youtube.com/watch?v=gcOP4WQfJl4\nTo submit a proposal:\nFill out this form"
+ },
+ {
+ "objectID": "workshops.html",
+ "href": "workshops.html",
+ "title": "R/Medicine 2024",
+ "section": "",
+ "text": "Lucy D’Agostino McGowan is an assistant professor in the Department of Statistical Sciences at Wake Forest University. She received her PhD in Biostatistics from Vanderbilt University and completed her postdoctoral training at Johns Hopkins University Bloomberg School of Public Health. Her research focuses on analytic design theory, statistical communication, causal inference, and data science pedagogy.\n\n\n\n\n\n\n\n\nThis workshop will use the NHANES Epidemiologic Follow-up Study (NHEFS) data. In this workshop, we’ll teach the essential elements of answering causal questions in R through causal diagrams, and causal modeling techniques such as propensity scores and inverse probability weighting.\n\n\n\nDr. McGowan can be found blogging at livefreeordichotomize.com, on Twitter @LucyStats, and podcasting on the American Journal of Epidemiology partner podcast, Casual Inference.\n\n\n\n\n\n\n\n\n\n\n\n\nJoy Payton is the Supervisor of Data Education at the Children’s Hospital of Philadelphia, where her goal is to make every scientist a data scientist. She has earned a Masters degree in Data Science from the City University of New York (CUNY), an Information Systems Security certificate from Penn State University, and her undergraduate degree at Agnes Scott College (Go Scotties!). She is a Google Cloud Certified Associate Cloud Engineer and an AWS Certified Cloud Practitioner.\n\n\n\n\n\n\n\n\nIn this hands-on workshop, you’ll use the free tier of Google Cloud Platform to work with large public datasets in Google’s cloud data warehousing solution, BigQuery. We’ll cover topics including:\n\nBrief overview of cloud solutions and why they matter in medicine\nHow to sign up for services for free for your own learning\nPracticing SQL queries in BigQuery\nUsing R and BigQuery together\n\nYou’ll leave this workshop with the beginnings of a data analysis of a large public dataset, a Google Cloud account that will allow you to continue learning on your own, and a newfound confidence in SQL, cloud computing, and system interoperability.\n\n\n\nJoy Payton can be found on Twitter @KJoyPayton, and sharing educational resources on the Arcus Website."
+ },
+ {
+ "objectID": "workshops.html#workshops",
+ "href": "workshops.html#workshops",
+ "title": "R/Medicine 2024",
+ "section": "",
+ "text": "Lucy D’Agostino McGowan is an assistant professor in the Department of Statistical Sciences at Wake Forest University. She received her PhD in Biostatistics from Vanderbilt University and completed her postdoctoral training at Johns Hopkins University Bloomberg School of Public Health. Her research focuses on analytic design theory, statistical communication, causal inference, and data science pedagogy.\n\n\n\n\n\n\n\n\nThis workshop will use the NHANES Epidemiologic Follow-up Study (NHEFS) data. In this workshop, we’ll teach the essential elements of answering causal questions in R through causal diagrams, and causal modeling techniques such as propensity scores and inverse probability weighting.\n\n\n\nDr. McGowan can be found blogging at livefreeordichotomize.com, on Twitter @LucyStats, and podcasting on the American Journal of Epidemiology partner podcast, Casual Inference.\n\n\n\n\n\n\n\n\n\n\n\n\nJoy Payton is the Supervisor of Data Education at the Children’s Hospital of Philadelphia, where her goal is to make every scientist a data scientist. She has earned a Masters degree in Data Science from the City University of New York (CUNY), an Information Systems Security certificate from Penn State University, and her undergraduate degree at Agnes Scott College (Go Scotties!). She is a Google Cloud Certified Associate Cloud Engineer and an AWS Certified Cloud Practitioner.\n\n\n\n\n\n\n\n\nIn this hands-on workshop, you’ll use the free tier of Google Cloud Platform to work with large public datasets in Google’s cloud data warehousing solution, BigQuery. We’ll cover topics including:\n\nBrief overview of cloud solutions and why they matter in medicine\nHow to sign up for services for free for your own learning\nPracticing SQL queries in BigQuery\nUsing R and BigQuery together\n\nYou’ll leave this workshop with the beginnings of a data analysis of a large public dataset, a Google Cloud account that will allow you to continue learning on your own, and a newfound confidence in SQL, cloud computing, and system interoperability.\n\n\n\nJoy Payton can be found on Twitter @KJoyPayton, and sharing educational resources on the Arcus Website."
+ },
+ {
+ "objectID": "workshops.html#causal-inference-in-r",
+ "href": "workshops.html#causal-inference-in-r",
+ "title": "R/Medicine 2024",
+ "section": "",
+ "text": "This workshop will use the NHANES Epidemiologic Follow-up Study (NHEFS) data. In this workshop, we’ll teach the essential elements of answering causal questions in R through causal diagrams, and causal modeling techniques such as propensity scores and inverse probability weighting.\n\n\n\nDr. McGowan can be found blogging at livefreeordichotomize.com, on Twitter @LucyStats, and podcasting on the American Journal of Epidemiology partner podcast, Casual Inference."
+ },
+ {
+ "objectID": "workshops.html#google-bigquery-first-steps-in-r",
+ "href": "workshops.html#google-bigquery-first-steps-in-r",
+ "title": "R/Medicine 2024",
+ "section": "",
+ "text": "In this hands-on workshop, you’ll use the free tier of Google Cloud Platform to work with large public datasets in Google’s cloud data warehousing solution, BigQuery. We’ll cover topics including:\n\nBrief overview of cloud solutions and why they matter in medicine\nHow to sign up for services for free for your own learning\nPracticing SQL queries in BigQuery\nUsing R and BigQuery together\n\nYou’ll leave this workshop with the beginnings of a data analysis of a large public dataset, a Google Cloud account that will allow you to continue learning on your own, and a newfound confidence in SQL, cloud computing, and system interoperability.\n\n\n\nJoy Payton can be found on Twitter @KJoyPayton, and sharing educational resources on the Arcus Website."
  }
 ]

docs/workshops.html

@@ -2,7 +2,7 @@
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 <meta charset="utf-8">
-<meta name="generator" content="quarto-1.3.450">
+<meta name="generator" content="quarto-1.3.353">
 
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
@@ -55,8 +55,7 @@
  "search-more-matches-text": "more matches in this document",
  "search-clear-button-title": "Clear",
  "search-detached-cancel-button-title": "Cancel",
- "search-submit-button-title": "Submit",
- "search-label": "Search"
+ "search-submit-button-title": "Submit"
  }
 }</script>
 
@@ -170,6 +169,39 @@ <h3 class="anchored" data-anchor-id="dr.-mcgowan-on-the-web">Dr.&nbsp;McGowan on
 </section>
 </div>
 </div>
+<div class="columns">
+<div class="column" style="width:45%;">
+<section id="joy-payton" class="level3">
+<h3 class="anchored" data-anchor-id="joy-payton">Joy Payton</h3>
+<p><img src="images/Payton.jpeg" class="img-fluid"></p>
+</section>
+<section id="biography-1" class="level3">
+<h3 class="anchored" data-anchor-id="biography-1">Biography</h3>
+<p><a href="https://www.linkedin.com/in/joypayton/">Joy Payton</a> is the Supervisor of Data Education at the Children’s Hospital of Philadelphia, where her goal is to make every scientist a data scientist. She has earned a Masters degree in Data Science from the City University of New York (CUNY), an Information Systems Security certificate from Penn State University, and her undergraduate degree at Agnes Scott College (Go Scotties!). She is a Google Cloud Certified Associate Cloud Engineer and an AWS Certified Cloud Practitioner.</p>
+</section>
+</div><div class="column" style="width:10%;">
+<!-- empty column to create gap -->
+</div><div class="column" style="width:45%;">
+<section id="google-bigquery-first-steps-in-r" class="level2">
+<h2 class="anchored" data-anchor-id="google-bigquery-first-steps-in-r">Google BigQuery: First Steps in R</h2>
+<section id="abstract-1" class="level3">
+<h3 class="anchored" data-anchor-id="abstract-1">Abstract</h3>
+<p>In this hands-on workshop, you’ll use the free tier of Google Cloud Platform to work with large public datasets in Google’s cloud data warehousing solution, BigQuery. We’ll cover topics including:</p>
+<ul>
+<li><p>Brief overview of cloud solutions and why they matter in medicine</p></li>
+<li><p>How to sign up for services for free for your own learning</p></li>
+<li><p>Practicing SQL queries in BigQuery</p></li>
+<li><p>Using R and BigQuery together</p></li>
+</ul>
+<p>You’ll leave this workshop with the beginnings of a data analysis of a large public dataset, a Google Cloud account that will allow you to continue learning on your own, and a newfound confidence in SQL, cloud computing, and system interoperability.</p>
+</section>
+<section id="joy-payton-on-the-web" class="level3">
+<h3 class="anchored" data-anchor-id="joy-payton-on-the-web">Joy Payton on the Web</h3>
+<p>Joy Payton can be found on Twitter <a href="https://twitter.com/kjoypayton">@KJoyPayton</a>, and sharing educational resources on the <a href="https://education.arcus.chop.edu/team/">Arcus Website</a>.</p>
+</section>
+</section>
+</div>
+</div>
 
 
 </section>

workshops.qmd

@@ -1,24 +1,21 @@
-
 ## Workshops
 
 ::: columns
 ::: {.column width="45%"}
-
 ### Lucy D’Agostino McGowan
 
 ![](images/Lucy_D_M.jpg)
 
 ### Biography
-[Lucy D’Agostino McGowan](https://www.lucymcgowan.com/about/
-) is an assistant professor in the Department of Statistical Sciences at Wake Forest University. She received her PhD in Biostatistics from Vanderbilt University and completed her postdoctoral training at Johns Hopkins University Bloomberg School of Public Health. Her research focuses on analytic design theory, statistical communication, causal inference, and data science pedagogy. 
+
+[Lucy D’Agostino McGowan](https://www.lucymcgowan.com/about/) is an assistant professor in the Department of Statistical Sciences at Wake Forest University. She received her PhD in Biostatistics from Vanderbilt University and completed her postdoctoral training at Johns Hopkins University Bloomberg School of Public Health. Her research focuses on analytic design theory, statistical communication, causal inference, and data science pedagogy.
 :::
 
 ::: {.column width="10%"}
 <!-- empty column to create gap -->
 :::
 
 ::: {.column width="45%"}
-
 ## Causal Inference in R
 
 ### Abstract
@@ -28,8 +25,43 @@ This workshop will use the NHANES Epidemiologic Follow-up Study (NHEFS) data. In
 ### Dr. McGowan on the Web
 
 Dr. McGowan can be found blogging at [livefreeordichotomize.com](https://livefreeordichotomize.com/), on Twitter [\@LucyStats](https://twitter.com/LucyStats), and podcasting on the American Journal of Epidemiology partner podcast, [Casual Inference](https://casualinfer.libsyn.com/).
+:::
+:::
+
+::: columns
+::: {.column width="45%"}
+### Joy Payton
 
+![](images/Payton.jpeg)
+
+### Biography
+
+[Joy Payton](https://www.linkedin.com/in/joypayton/) is the Supervisor of Data Education at the Children's Hospital of Philadelphia, where her goal is to make every scientist a data scientist. She has earned a Masters degree in Data Science from the City University of New York (CUNY), an Information Systems Security certificate from Penn State University, and her undergraduate degree at Agnes Scott College (Go Scotties!). She is a Google Cloud Certified Associate Cloud Engineer and an AWS Certified Cloud Practitioner.
 :::
+
+::: {.column width="10%"}
+<!-- empty column to create gap -->
 :::
 
+::: {.column width="45%"}
+## Google BigQuery: First Steps in R
+
+### Abstract
+
+In this hands-on workshop, you’ll use the free tier of Google Cloud Platform to work with large public datasets in Google’s cloud data warehousing solution, BigQuery. We’ll cover topics including:
+
+- Brief overview of cloud solutions and why they matter in medicine
+
+- How to sign up for services for free for your own learning
 
+- Practicing SQL queries in BigQuery
+
+- Using R and BigQuery together
+
+You’ll leave this workshop with the beginnings of a data analysis of a large public dataset, a Google Cloud account that will allow you to continue learning on your own, and a newfound confidence in SQL, cloud computing, and system interoperability.
+
+### Joy Payton on the Web
+
+Joy Payton can be found on Twitter [\@KJoyPayton](https://twitter.com/kjoypayton), and sharing educational resources on the [Arcus Website](https://education.arcus.chop.edu/team/).
+:::
+:::