-
-
- Abstract -
- Registration -
- Speaker Bio -
WHY ATTEND
-The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops provide a way to learn and develop your R skills. Midweek demos allow you to try out new R packages and tools, and our hackathon provides an opportunity to learn how to develop new R tools. The conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny with a vigorous ongoing discussion with speakers (with pre-recorded talks) in the chat.
-
-
-November Webinar: Containerization and R for Reproducibility and More
-
-
-Abstract
-Containerization has become a dominant computing paradigm for computing in the past decade due to its many advantages: isolation and security, scalability and efficiency with lightweight containers sharing an operating kernel and resources, and portability across cloud computing providers. For the researcher, analyst, or R user, containers have applications ranging from reproducible analytical environments to packaging statistical code to use in web applications. I will discuss how biomedical researchers can make use of containerization technology, particularly the tools provided by the Rocker Project, which publishes powerful standardized containers for the R language.
-
-
-Registration
-
-
-
-Speaker Bio
-Noam Ross is a computational disease ecologist and Executive Director of rOpenSci, a nonprofit dedicated to promoting open science and validating data science and computational methods. He is a core member of the Rocker Project, which maintains standardized containers for the R computer language. Noam’s work includes spearheading rOpenSci’s work in software peer review, developing a widely emulated system for leveraging the academic peer-review process coupled with state-of-the art automated code analysis to improve code quality in the scientific software in ecosystem, as well as using review as a mechanism for community building and training. His research interests and contributions span a wide range of topics, including disease ecology, zoonotic spillover, mechanistic modeling of disease dynamics, and non-parametric data science methods. His applied work includes creating early outbreak assessment models for the U.S. Defense Threat Reduction Agency, and modeling and forecasting for New York State’s COVID-19 emergency response. Noam holds a Ph.D. in theoretical ecology from the University of California-Davis and a B.Sc. from Brown University.
+The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops and demos provide a way to learn and develop your R skills, and to try out new R packages and tools. Conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny, and an opportunity to interact with speakers in the chat during their pre-recorded talks.
+
+KEYNOTE ADDRESSES
+
+
+Coming soon!
+
+
+
+
+
+
BROUGHT TO YOU BY
diff --git a/docs/search.json b/docs/search.json
index 98b27df..ca6c2f7 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -46,14 +46,14 @@
"href": "index.html#why-attend",
"title": "R/Medicine 2025",
"section": "WHY ATTEND",
- "text": "WHY ATTEND\nThe R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops provide a way to learn and develop your R skills. Midweek demos allow you to try out new R packages and tools, and our hackathon provides an opportunity to learn how to develop new R tools. The conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny with a vigorous ongoing discussion with speakers (with pre-recorded talks) in the chat."
+ "text": "WHY ATTEND\nThe R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops and demos provide a way to learn and develop your R skills, and to try out new R packages and tools. Conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny, and an opportunity to interact with speakers in the chat during their pre-recorded talks."
},
{
- "objectID": "index.html#november-webinar-containerization-and-r-for-reproducibility-and-more",
- "href": "index.html#november-webinar-containerization-and-r-for-reproducibility-and-more",
+ "objectID": "index.html#keynote-addresses",
+ "href": "index.html#keynote-addresses",
"title": "R/Medicine 2025",
- "section": "November Webinar: Containerization and R for Reproducibility and More",
- "text": "November Webinar: Containerization and R for Reproducibility and More\n\n\nAbstract\nContainerization has become a dominant computing paradigm for computing in the past decade due to its many advantages: isolation and security, scalability and efficiency with lightweight containers sharing an operating kernel and resources, and portability across cloud computing providers. For the researcher, analyst, or R user, containers have applications ranging from reproducible analytical environments to packaging statistical code to use in web applications. I will discuss how biomedical researchers can make use of containerization technology, particularly the tools provided by the Rocker Project, which publishes powerful standardized containers for the R language.\n\n\nRegistration\nhttps://zoom.us/webinar/register/WN_aWMKlQngTUqgp4G_qkkD_g\n\n\nSpeaker Bio\nNoam Ross is a computational disease ecologist and Executive Director of rOpenSci, a nonprofit dedicated to promoting open science and validating data science and computational methods. He is a core member of the Rocker Project, which maintains standardized containers for the R computer language. Noam’s work includes spearheading rOpenSci’s work in software peer review, developing a widely emulated system for leveraging the academic peer-review process coupled with state-of-the art automated code analysis to improve code quality in the scientific software in ecosystem, as well as using review as a mechanism for community building and training. His research interests and contributions span a wide range of topics, including disease ecology, zoonotic spillover, mechanistic modeling of disease dynamics, and non-parametric data science methods. His applied work includes creating early outbreak assessment models for the U.S. Defense Threat Reduction Agency, and modeling and forecasting for New York State’s COVID-19 emergency response. Noam holds a Ph.D. in theoretical ecology from the University of California-Davis and a B.Sc. from Brown University."
+ "section": "KEYNOTE ADDRESSES",
+ "text": "KEYNOTE ADDRESSES\n\n\nComing soon!"
},
{
"objectID": "index.html#brought-to-you-by",
diff --git a/docs/workshops.html b/docs/workshops.html
index 6e1e934..422663f 100644
--- a/docs/workshops.html
+++ b/docs/workshops.html
@@ -146,7 +146,7 @@ On this page
- Workshops
- - TBD
+ - Coming soon!
@@ -159,8 +159,8 @@ On this page
Workshops
-
-TBD
+
+Coming soon!
diff --git a/images/Main.png b/images/Main.png
index 5901afe..ce8d83c 100644
Binary files a/images/Main.png and b/images/Main.png differ
diff --git a/index.qmd b/index.qmd
index 0355775..bfdb7f4 100644
--- a/index.qmd
+++ b/index.qmd
@@ -10,23 +10,23 @@ title: "R/Medicine 2025"
## WHY ATTEND
-The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops provide a way to learn and develop your R skills. Midweek demos allow you to try out new R packages and tools, and our hackathon provides an opportunity to learn how to develop new R tools. The conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny with a vigorous ongoing discussion with speakers (with pre-recorded talks) in the chat.
+The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops and demos provide a way to learn and develop your R skills, and to try out new R packages and tools. Conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny, and an opportunity to interact with speakers in the chat during their pre-recorded talks.
-## November Webinar: Containerization and R for Reproducibility and More
+## KEYNOTE ADDRESSES
-
-
-### Abstract
-
-Containerization has become a dominant computing paradigm for computing in the past decade due to its many advantages: isolation and security, scalability and efficiency with lightweight containers sharing an operating kernel and resources, and portability across cloud computing providers. For the researcher, analyst, or R user, containers have applications ranging from reproducible analytical environments to packaging statistical code to use in web applications. I will discuss how biomedical researchers can make use of containerization technology, particularly the tools provided by the Rocker Project, which publishes powerful standardized containers for the R language.
-
-### Registration
+::: columns
+::: {.column width="45%"}
+**Coming soon!**
+:::
-[https://zoom.us/webinar/register/WN_aWMKlQngTUqgp4G_qkkD_g](https://zoom.us/webinar/register/WN_aWMKlQngTUqgp4G_qkkD_g)
+::: {.column width="10%"}
+
+:::
-### Speaker Bio
+::: {.column width="45%"}
-Noam Ross is a computational disease ecologist and Executive Director of rOpenSci, a nonprofit dedicated to promoting open science and validating data science and computational methods. He is a core member of the Rocker Project, which maintains standardized containers for the R computer language. Noam’s work includes spearheading rOpenSci’s work in software peer review, developing a widely emulated system for leveraging the academic peer-review process coupled with state-of-the art automated code analysis to improve code quality in the scientific software in ecosystem, as well as using review as a mechanism for community building and training. His research interests and contributions span a wide range of topics, including disease ecology, zoonotic spillover, mechanistic modeling of disease dynamics, and non-parametric data science methods. His applied work includes creating early outbreak assessment models for the U.S. Defense Threat Reduction Agency, and modeling and forecasting for New York State’s COVID-19 emergency response. Noam holds a Ph.D. in theoretical ecology from the University of California-Davis and a B.Sc. from Brown University.
+:::
+:::
## BROUGHT TO YOU BY
diff --git a/workshops.qmd b/workshops.qmd
index 1d31047..588a658 100644
--- a/workshops.qmd
+++ b/workshops.qmd
@@ -1,3 +1,3 @@
## Workshops
-### TBD
\ No newline at end of file
+### Coming soon!
WHY ATTEND
-The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops provide a way to learn and develop your R skills. Midweek demos allow you to try out new R packages and tools, and our hackathon provides an opportunity to learn how to develop new R tools. The conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny with a vigorous ongoing discussion with speakers (with pre-recorded talks) in the chat.
-November Webinar: Containerization and R for Reproducibility and More
-
Abstract
-Containerization has become a dominant computing paradigm for computing in the past decade due to its many advantages: isolation and security, scalability and efficiency with lightweight containers sharing an operating kernel and resources, and portability across cloud computing providers. For the researcher, analyst, or R user, containers have applications ranging from reproducible analytical environments to packaging statistical code to use in web applications. I will discuss how biomedical researchers can make use of containerization technology, particularly the tools provided by the Rocker Project, which publishes powerful standardized containers for the R language.
-Registration
- -Speaker Bio
-Noam Ross is a computational disease ecologist and Executive Director of rOpenSci, a nonprofit dedicated to promoting open science and validating data science and computational methods. He is a core member of the Rocker Project, which maintains standardized containers for the R computer language. Noam’s work includes spearheading rOpenSci’s work in software peer review, developing a widely emulated system for leveraging the academic peer-review process coupled with state-of-the art automated code analysis to improve code quality in the scientific software in ecosystem, as well as using review as a mechanism for community building and training. His research interests and contributions span a wide range of topics, including disease ecology, zoonotic spillover, mechanistic modeling of disease dynamics, and non-parametric data science methods. His applied work includes creating early outbreak assessment models for the U.S. Defense Threat Reduction Agency, and modeling and forecasting for New York State’s COVID-19 emergency response. Noam holds a Ph.D. in theoretical ecology from the University of California-Davis and a B.Sc. from Brown University.
+The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops and demos provide a way to learn and develop your R skills, and to try out new R packages and tools. Conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny, and an opportunity to interact with speakers in the chat during their pre-recorded talks.
KEYNOTE ADDRESSES
+Coming soon!
+BROUGHT TO YOU BY
diff --git a/docs/search.json b/docs/search.json index 98b27df..ca6c2f7 100644 --- a/docs/search.json +++ b/docs/search.json @@ -46,14 +46,14 @@ "href": "index.html#why-attend", "title": "R/Medicine 2025", "section": "WHY ATTEND", - "text": "WHY ATTEND\nThe R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops provide a way to learn and develop your R skills. Midweek demos allow you to try out new R packages and tools, and our hackathon provides an opportunity to learn how to develop new R tools. The conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny with a vigorous ongoing discussion with speakers (with pre-recorded talks) in the chat." + "text": "WHY ATTEND\nThe R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops and demos provide a way to learn and develop your R skills, and to try out new R packages and tools. Conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny, and an opportunity to interact with speakers in the chat during their pre-recorded talks." }, { - "objectID": "index.html#november-webinar-containerization-and-r-for-reproducibility-and-more", - "href": "index.html#november-webinar-containerization-and-r-for-reproducibility-and-more", + "objectID": "index.html#keynote-addresses", + "href": "index.html#keynote-addresses", "title": "R/Medicine 2025", - "section": "November Webinar: Containerization and R for Reproducibility and More", - "text": "November Webinar: Containerization and R for Reproducibility and More\n\n\nAbstract\nContainerization has become a dominant computing paradigm for computing in the past decade due to its many advantages: isolation and security, scalability and efficiency with lightweight containers sharing an operating kernel and resources, and portability across cloud computing providers. For the researcher, analyst, or R user, containers have applications ranging from reproducible analytical environments to packaging statistical code to use in web applications. I will discuss how biomedical researchers can make use of containerization technology, particularly the tools provided by the Rocker Project, which publishes powerful standardized containers for the R language.\n\n\nRegistration\nhttps://zoom.us/webinar/register/WN_aWMKlQngTUqgp4G_qkkD_g\n\n\nSpeaker Bio\nNoam Ross is a computational disease ecologist and Executive Director of rOpenSci, a nonprofit dedicated to promoting open science and validating data science and computational methods. He is a core member of the Rocker Project, which maintains standardized containers for the R computer language. Noam’s work includes spearheading rOpenSci’s work in software peer review, developing a widely emulated system for leveraging the academic peer-review process coupled with state-of-the art automated code analysis to improve code quality in the scientific software in ecosystem, as well as using review as a mechanism for community building and training. His research interests and contributions span a wide range of topics, including disease ecology, zoonotic spillover, mechanistic modeling of disease dynamics, and non-parametric data science methods. His applied work includes creating early outbreak assessment models for the U.S. Defense Threat Reduction Agency, and modeling and forecasting for New York State’s COVID-19 emergency response. Noam holds a Ph.D. in theoretical ecology from the University of California-Davis and a B.Sc. from Brown University." + "section": "KEYNOTE ADDRESSES", + "text": "KEYNOTE ADDRESSES\n\n\nComing soon!" }, { "objectID": "index.html#brought-to-you-by", diff --git a/docs/workshops.html b/docs/workshops.html index 6e1e934..422663f 100644 --- a/docs/workshops.html +++ b/docs/workshops.html @@ -146,7 +146,7 @@On this page
- Workshops
-
-
- TBD +
- Coming soon!