Align formatting

kdillmcfarland · kdillmcfarland · commit 1f77c770c4fd · 2025-05-01T09:38:07.000-07:00
diff --git a/content/speakers/speaker_info_2025/regular/alec_kretchun/index.md b/content/speakers/speaker_info_2025/regular/alec_kretchun/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/alec_kretchun"
 ---
 
 ### Evaluating access to healthcare: a modern spatial data workflow in R/python
-Regular talk, 3:15-4:15
+Regular talk, 3:15 - 4:15 PM
 
 There are many barriers to healthcare access in the United States. To address a subset of physical barriers health plans must understand and monitor the breadth depth and capacity of their provider networks to provide care for their members. Understanding the geospatial relationship between provider networks and the communities they serve is a necessary component for quantifying whether the healthcare network can meet the needs of that community.  
 Additionally at national state and local levels there are regulations that define what it means for a health care network to physically meet the needs of a community. Network adequacy standards set maximum travel time and/or distance thresholds that any member may travel to access care for a network to be compliant. In total this regulatory framework creates a need for reproducible and accurate methods of measuring physical access to healthcare which is crucial for meeting the needs of both health plan members and regulators.
@@ -14,7 +14,7 @@ We are excited to submit to the Cascadia R conference to highlight the ways in w
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/alec_kretchun.jpg" alt="Alec Kretchun"></td>
+           src="../../../../img/speakers/speakers_2025/alec_kretchun.jpg" alt="Alec Kretchun headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/andie_hendrick/index.md b/content/speakers/speaker_info_2025/regular/andie_hendrick/index.md
@@ -4,14 +4,14 @@ url: "2025/regular/andie_hendrick"
 ---
 
 ### Workshop to Workflow: Automizing Weekly Respiratory Reports with Quarto
-Regular talk, 3:15-4:15
+Regular talk, 3:15 - 4:15 PM
 
 As influenza and respiratory syncytial virus (RSV) epidemiologists for the Oregon Health Authority (OHA) we are tasked with publishing weekly reports that summarize respiratory virus surveillance trends in Oregon.  Our original process for generating these reports utilized SAS Microsoft Excel Microsoft Publisher with manual copying and pasting of graphs. This largely manual workflow was both time-consuming and susceptible to human error. In June 2024 we had the opportunity to take the Quarto workshop offered at the R Cascadia conference. This workshop provided us with the tools and skills to convert our manual reporting process to a fully automated report creation process using Quarto for both influenza and RSV.  In the future we plan to convert additional surveillance reports to automated processes using the tools learned in the Cascadia R Quarto training. We are also exploring the use of internal Quarto dashboards to monitor weekly respiratory virus hospitalization rates and implement additional quality improvements projects.  Links to [RSV](https://www.oregon.gov/oha/PH/DISEASESCONDITIONS/COMMUNICABLEDISEASE/DISEASESURVEILLANCEDATA/Documents/RSV/RSV_Oregon.pdf) and [flu report](https://www.oregon.gov/oha/PH/DISEASESCONDITIONS/COMMUNICABLEDISEASE/DISEASESURVEILLANCEDATA/INFLUENZA/Documents/data/FluBites.pdf)  
 <br><br>
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/logo/logo_2025/logo_2025.png" alt="Andie Hendrick"></td>
+           src="../../../../img/logo/logo_2025/logo_2025.png" alt="Andie Hendrick headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/ariane_erickson/index.md b/content/speakers/speaker_info_2025/regular/ariane_erickson/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/ariane_erickson"
 ---
 
 ### Top Features Every Public Health Dashboard Needs (and how to build them)
-Regular talk, 3:15-4:15
+Regular talk, 3:15 - 4:15 PM
 
 Building a public-facing dashboard is a balancing act. While crafting a compelling story from your data it is easy for dashboard design principles to become muddled in the competing priorities: user needs internal partner requests and performance of the dashboard. Navigating these challenges requires a strategic approach and in this talk I will highlight key considerations for publishing effective public health dashboards using R Shiny. 
 
@@ -17,7 +17,7 @@ Finally don't overlook the importance of a robust iterative review process. From
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/logo/logo_2025/logo_2025.png" alt="Ariane Erickson"></td>
+           src="../../../../img/logo/logo_2025/logo_2025.png" alt="Ariane Erickson headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/arilene_novak/index.md b/content/speakers/speaker_info_2025/regular/arilene_novak/index.md
@@ -4,14 +4,14 @@ url: "2025/regular/arilene_novak"
 ---
 
 ### Workshop to Workflow: Automizing Weekly Respiratory Reports with Quarto
-Regular talk, 3:15-4:15
+Regular talk, 3:15 - 4:15 PM
 
 As influenza and respiratory syncytial virus (RSV) epidemiologists for the Oregon Health Authority (OHA) we are tasked with publishing weekly reports that summarize respiratory virus surveillance trends in Oregon.  Our original process for generating these reports utilized SAS Microsoft Excel Microsoft Publisher with manual copying and pasting of graphs. This largely manual workflow was both time-consuming and susceptible to human error. In June 2024 we had the opportunity to take the Quarto workshop offered at the R Cascadia conference. This workshop provided us with the tools and skills to convert our manual reporting process to a fully automated report creation process using Quarto for both influenza and RSV.  In the future we plan to convert additional surveillance reports to automated processes using the tools learned in the Cascadia R Quarto training. We are also exploring the use of internal Quarto dashboards to monitor weekly respiratory virus hospitalization rates and implement additional quality improvements projects.  Links to [RSV](https://www.oregon.gov/oha/PH/DISEASESCONDITIONS/COMMUNICABLEDISEASE/DISEASESURVEILLANCEDATA/Documents/RSV/RSV_Oregon.pdf) and [flu report](https://www.oregon.gov/oha/PH/DISEASESCONDITIONS/COMMUNICABLEDISEASE/DISEASESURVEILLANCEDATA/INFLUENZA/Documents/data/FluBites.pdf)  
 <br><br>
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/arilene_novak.jpg" alt="Arilene Novak"></td>
+           src="../../../../img/speakers/speakers_2025/arilene_novak.jpg" alt="Arilene Novak headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/david_gerbing/index.md b/content/speakers/speaker_info_2025/regular/david_gerbing/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/david_gerbing"
 ---
 
 ### Simplified Data Analysis
-Regular talk, 9:40-10:40
+Regular talk, 9:40 - 10:40 AM
 
 My lessR R package is intended to reduce programming for data analysis to a small set of simple function calls. The user's choice of programming language becomes immaterial because programming skills in any language become immaterial. Moreover most modern development environments are multilingual. For example R of course can be run from the highly popular and highly functional RStudio environment or from the highly popular and highly functional Python environment offered by Jupyter notebooks.
 
@@ -31,7 +31,7 @@ Unlike standard R functions dates can be read from several formats and then auto
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/david_gerbing.jpg" alt="David Gerbing"></td>
+           src="../../../../img/speakers/speakers_2025/david_gerbing.jpg" alt="David Gerbing headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/dror_berel/index.md b/content/speakers/speaker_info_2025/regular/dror_berel/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/dror_berel"
 ---
 
 ### From Roadblocks to Breakthroughs: Navigating the Challenges of Adopting New Open Source Tools
-Regular talk, 10:20-12:20
+Regular talk, 11:20 AM - 12:20 PM
 
 Adopting new open-source technology can be both exciting and challenging. While a tool may appear promising and seem like the perfect fit for a specific task early-stage technologies often come with their own set of hurdles. One of the biggest challenges is the lack of comprehensive resources—such as detailed documentation practical examples active discussion boards and community support—which can make it difficult to troubleshoot issues or fully understand the tool’s capabilities. This often requires additional effort experimentation and problem-solving to get things working as intended.
 
@@ -19,7 +19,7 @@ Ultimately my goal is to provide attendees with actionable advice that they can
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/dror_berel.jpg" alt="Dror Berel"></td>
+           src="../../../../img/speakers/speakers_2025/dror_berel.jpg" alt="Dror Berel headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/evan_landman/index.md b/content/speakers/speaker_info_2025/regular/evan_landman/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/evan_landman"
 ---
 
 ### Developing reproducible transit analysis with R
-Regular talk, 1:30-2:30
+Regular talk, 1:30 - 2:30 PM
 
 Jarrett Walker & Associates (JWA) is a planning consulting firm that has led bus network design projects that shape the map of transit networks in major cities throughout the US from Portland to Miami Cleveland to Houston and many more in between.
 
@@ -22,7 +22,7 @@ This presentation will serve both as an introduction into analyzing transit data
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/evan_landman.jpg" alt="Evan Landman"></td>
+           src="../../../../img/speakers/speakers_2025/evan_landman.jpg" alt="Evan Landman headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/hanna_winter/index.md b/content/speakers/speaker_info_2025/regular/hanna_winter/index.md
@@ -4,14 +4,14 @@ url: "2025/regular/hanna_winter"
 ---
 
 ### Introduce R to your other friends (or using R as a component in workflows)
-Regular talk, 1:30-2:30
+Regular talk, 1:30 - 2:30 PM
 
 R scripts are great tools to use as steps in simple and complex workflows. Why try to build a customized database output when you can take a standard output and use R to customize to your heart’s content? Just use R for data cleanup and reformatting as you prep data for a database or to feed into a model. Combine automated QC and human QC in workflows to get the best of both worlds. Let each of your tools do what it does best. This presentation will cover a couple examples of R being friends with databases GIS humans Excel and even (gasp!) Python.  Use simple R scripts to help speed up routine workflows like prepping data to load to databases or aggregating database outputs for reporting. Compile and combine timeseries datasets reference datasets and discrete sample data to automate the tedious data processing and QA/QC steps but leave the visual interpretation and fine-tuning to the human. Write custom functions to calculate floodplain widths that plug into GIS models by letting R hold hands with ArcGIS. Let all your tools shine and join the party!
 <br><br>
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/hanna_winter.jpg" alt="Hanna Winter"></td>
+           src="../../../../img/speakers/speakers_2025/hanna_winter.jpg" alt="Hanna Winter headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/jonathan_mcpherson/index.md b/content/speakers/speaker_info_2025/regular/jonathan_mcpherson/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/jonathan_mcpherson"
 ---
 
 ### 10 Years of RStudio and What Happens Next
-Regular talk, 11:20-12:20
+Regular talk, 11:20 AM - 12:20 PM
 
 RStudio is one of the most popular IDEs for data science ever made. In this talk I'll reflect on the last decade of its development and the principles that guided its journey. What makes data science IDEs different from other development environments? We'll get into the philosophy of tool use just a little bit -- how the tools we use shape the things we make. I'll share some thoughts about what's coming in the next decade of data science tooling from Posit.
 
@@ -13,7 +13,7 @@ In an effort to make the talk at least marginally practical I'll also talk about
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/jonathan_mcpherson.jpg" alt="Jonathan McPherson"></td>
+           src="../../../../img/speakers/speakers_2025/jonathan_mcpherson.jpg" alt="Jonathan McPherson headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/mauro_lepore/index.md b/content/speakers/speaker_info_2025/regular/mauro_lepore/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/mauro_lepore"
 ---
 
 ### Creating a better universe with dverse
-Regular talk, 9:40-10:40
+Regular talk, 9:40 - 10:40 AM
 
 The Tidyverse popularized the idea of a “package universe.” A typical universe has a meta-package that centralizes access to functions and data across all its packages. For example by using library(tidyverse) the tidyverse meta-package centralizes access to functions and data from dplyr ggplot2 and several other packages within the Tidyverse universe.
 However meta-packages typically do not centralize documentation. For example the tidyverse website only displays the documentation for tidyverse but not for dplyr ggplot2 and other packages in the Tidyverse. A notable exception is tidymodels whose website allows users to search the documentation for all its packages at https://www.tidymodels.org/find/all though its implementation is ad hoc and complex.
@@ -14,7 +14,7 @@ This way dverse connects multiple packages and their developers. In large and di
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/mauro_lepore.jpeg" alt="Mauro Lepore"></td>
+           src="../../../../img/speakers/speakers_2025/mauro_lepore.jpeg" alt="Mauro Lepore headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/peter_geissert/index.md b/content/speakers/speaker_info_2025/regular/peter_geissert/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/peter_geissert"
 ---
 
 ### Metadata Driven Data Science
-Regular talk, 1:30-2:30
+Regular talk, 1:30 - 2:30 PM
 
 Many data science teams face unprecedented demands for data products and actionable intelligence. This presentation will showcase the work that the Oregon EMS Program has done to build workflows using metadata to drive data extraction cleaning analysis and visualization. This approach allows us to get upstream of the many projects that we develop and/or update every year/quarter/month to make changes in only one place; our data dictionary. Using a modular approach functions and scripts are built to pull in information about data elements values relationships and metrics from metadata repositories and allow us to produce more consistent validated data products more quickly.
 
@@ -13,7 +13,7 @@ The presentation is designed to be accessible to a general audience regardless o
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/speakers/speakers_2025/peter_geissert.jpg" alt="Peter Geissert"></td>
+           src="../../../../img/speakers/speakers_2025/peter_geissert.jpg" alt="Peter Geissert headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
diff --git a/content/speakers/speaker_info_2025/regular/yan_liu/index.md b/content/speakers/speaker_info_2025/regular/yan_liu/index.md
@@ -4,7 +4,7 @@ url: "2025/regular/yan_liu"
 ---
 
 ### Leveraging Large Language Models in R: Practical Applications with {ellmer}
-Regular talk, SESSION TIME HERE
+Regular talk, 9:40 - 10:40 AM
 
 As Large Language Models (LLMs) become more accessible they offer R developers new opportunities to automate and enhance text analysis and generation tasks. For mixed-methods researchers LLMs can improve efficiency in both deductive and inductive coding for content analysis making them a valuable tool for streamlining qualitative research workflows. 
 
@@ -93,7 +93,7 @@ Where to Learn More (Resources package documentation)
 
 <table>
   <tr><td><img width="300px" style="float: left; padding: 0px 20px 0px 0px;" 
-           src="../../../../img/logo/logo_2025/logo_2025.png" alt="Yan Liu"></td>
+           src="../../../../img/logo/logo_2025/logo_2025.png" alt="Yan Liu headshot"></td>
   <td>
       <h5>Pronouns: PRONOUNS HERE</h5>
       <h5>LOCATION HERE</h5>
