diff --git a/posts/news-from-r-submissions-working-group-pilot-3/collaboration.png b/posts/news-from-r-submissions-working-group-pilot-3/collaboration.png new file mode 100644 index 0000000..88de04d Binary files /dev/null and b/posts/news-from-r-submissions-working-group-pilot-3/collaboration.png differ diff --git a/posts/news-from-r-submissions-working-group-pilot-3/index.qmd b/posts/news-from-r-submissions-working-group-pilot-3/index.qmd new file mode 100644 index 0000000..86caee9 --- /dev/null +++ b/posts/news-from-r-submissions-working-group-pilot-3/index.qmd @@ -0,0 +1,70 @@ +--- +title: "News from R Submissions Working Group – Pilot 3 Successfully Reviewed by FDA" +description: "The R Consortium is pleased to announce the successful completion of the Pilot 3 Submission which extended the work done in Pilots 1 and 2 by generating the ADaM datasets. The complete FDA response letter is available." +author: "R Consortium" +date: "08/26/2024" +--- + +_Blog contributed by Ning Leng, People and Product Leader, Roche-Genentech and Joel Laxamana, Principal Data Scientist, Roche-Genentech_ + +The R Consortium is pleased to announce the successful completion of the Pilot 3 Submission which extended the work done in Pilots 1 and 2 by generating the ADaM datasets. The complete [FDA response letter](https://github.com/RConsortium/submissions-wg/blob/main/_Documents/Summary_R_Pilot3_Submission.pdf) is available.   + +The objective of the R Consortium R Submission Pilot 3 Project is to test the concept that an R-language based submission package for ADaMs and TLFs can meet the needs and the expectations of the FDA reviewers, including assessing code review and analyzing reproducibility. All submission materials and communications from this pilot are publicly available, with the aim of providing a working example for future R-language based FDA submissions. This is an FDA-industry collaboration through the non-profit organization R Consortium. + +All submission materials can be found at: [submissions-pilot3-adam-to-fda](https://github.com/RConsortium/submissions-pilot3-adam-to-fda). This is the first publicly available R-based FDA submission package including R scripts to generate Analysis Data Models (ADaM) and Tables, Listings & Figures (TLFs). + +![](collaboration.png) + +_Open-Source Collaboration in standardizing Clinical Trial analyses and Submissions. Broadening ways to bring treatments to Patients._ + +## Pilot 3 Timeline + +The initial submission was submitted through the eCTD gateway on Aug 28, 2023. FDA verbal responses were received from Jan-July 2024 during R submission working group meetings. Documentation of this initial feedback and response can be found at [response-FDA-IR-pilot3.pdf](https://github.com/RConsortium/submissions-pilot3-adam-to-fda/blob/main/m1/us/response-FDA-IR-pilot3.pdf). The updated submission package addressed reported issues and was re-submitted on Apr 19, 2024. The final response letter from FDA was received on Aug 8, 2024. + +## Pilot 3 Scope + +The Pilot 3 test submission exemplifies an all-R submission package for ADaMs and TLFs, adhering to electronic Common Technical Document (eCTD) specifications. This comprehensive package not only includes ADaMs and TLGs, but it emulates a full study submission package including the source Study Data Tabulation Models (SDTMs) used to generate the Pilot 3 ADaMs. It also encompasses the installation and loading of the proprietary {pilot3utils} R package, various open-source R packages, R scripts for the Analysis Data Model (ADaM) datasets derived from Pilot 3, and Tables, Listings, and Figures (TLFs) from Pilot 1. In addition to other requisite eCTD components, the Pilot 3 package also includes the Analysis Data Reviewer’s Guide (ADRG) providing detailed steps leading to the execution of the analysis R scripts to re-produce the ADaMs and TLFs from a FDA reviewers perspective. These Pilot 3 submission materials are linked above. + +Pilot 3 serves as a complement to Pilots [1](https://github.com/RConsortium/submissions-pilot1-to-fda) and [2](https://github.com/RConsortium/submissions-pilot2-to-fda), which demonstrated the feasibility of submitting TLF R scripts and R Shiny code, respectively. Furthermore, Pilot 3 successfully validated the submission of proprietary R packages in compressed file formats, serving as another alternative to {pkglite} or installation directly from github. + +If you have any questions about this Pilot 3 submission, we would love to hear from you. Feel free to submit any questions you may have as a [new issue](https://github.com/RConsortium/submissions-pilot3-adam-to-fda/issues/new/choose) in our Pilot 3 github repository or you may find any of the Pilot 3 team members in [Pharmaverse slack](https://pharmaverse.slack.com/archives/C030EB2M4GM). + +## Learnings from Pilots 1 through 3 + +In the three pilots, for various TLFs, the working group members intentionally created different tables in different formats using various open-source R packages. The FDA staff successfully accepted and reproduced the results generated from these different open-source packages. However, though not in scope of these Pilots, we want to share awareness that sponsors are responsible for selecting open-source packages that demonstrate sufficient reliability. Further information on this can be found in the [R Validation Hub](https://www.pharmar.org/), formed in 2018 by the PSI AIMS Special Interest Group and supported by the R Consortium. It offers tools like [{riskmetric}](https://www.pharmar.org/posts/news/updates-aug-2024/) to quantify the “risk” of R packages and a user-friendly R Shiny app, [{riskassessment}](https://www.pharmar.org/riskassessment/), to evaluate package reliability. + +The majority of FDA staff feedback falls under the following themes : + +1. Clear ADRG documentation on computing environment, package dependencies, and expected warnings +2. Clear documentation on data processing rules and statistical method implementation +3. Good statistical practice in confirmatory trials, such as avoiding the possibility of “p-hacking”  + +For future submissions using open-source languages, it is recommended to give special attention to recommendation theme 1. Recommendation themes 2 and 3 are language-agnostic and should always be followed, regardless of the programming language used. All of these themes fall in line with the FDA’s [Statistical Software Clarifying Statement](https://rconsortium.github.io/submissions-pilot3-adam/main/articles/statistical-software-clarifying-statement.html). + +## Upcoming Pilots + +As a next step, the R Consortium R Submission Working Group initiated [submission pilot 4](https://rconsortium.github.io/submissions-pilot4/), to explore the use of novel technologies such as Linux containers and web assembly to bundle a Shiny application into a self-contained package, facilitating a smoother process of both transferring and executing the application. + +## The R Consortium R Submission Working Group + +The [R Consortium R Submissions Working Group](https://rconsortium.github.io/submissions-wg/) is focused on improving practices for R-based clinical trial regulatory submissions. + +To bring an experimental clinical product to market, electronic submission of data, computer programs, and relevant documentation is required by health authority agencies from different countries. In the past, submissions have been mainly based on the SAS language.  + +In recent years, the use of open source languages, especially the R language, has become very popular in the pharmaceutical industry and research institutions. Although the health authorities accept submissions based on open source programming languages, sponsors may be hesitant to conduct submissions using open source languages due to a lack of working examples. + +Therefore, the R Submissions Working Group aims at providing R-based submission examples and identifying potential gaps during submission of these example packages. All materials, including submission examples and communications, are publicly available on the R consortium Github page: [https://github.com/RConsortium](https://github.com/RConsortium) . + +The R consortium R submission working group includes members from more than 10 pharmaceutical companies, as well as regulatory agencies. More details of the working group can be found at: [https://rconsortium.github.io/submissions-wg/](https://rconsortium.github.io/submissions-wg/) . + +The R consortium R submission working group is open to anyone who is interested in joining. If interested, please contact Joseph Rickert at director@r-consortium.org.  + +## Pilot 3 FDA Reviewers + +FDA reviewers included   + +[Hye Soo Cho](https://www.linkedin.com/in/hye-soo-cho/),  [Paul Schuette](https://www.linkedin.com/in/paul-schuette-40aa838/), and [Youn Kyeong Chang](https://www.linkedin.com/in/youn-kyeong-chang-885785159/). + +## Pilot 3 Developers + +The Pilot 3 development team included [Joel Laxamana](https://www.linkedin.com/in/jlaxamana/) (Project Lead, Roche), [Robert Devine](https://www.linkedin.com/in/robert-devine-50b0b931/) (J&J) , [Benjamin Straub](https://www.linkedin.com/in/ben-straub/) (GSK) , [Kangjie Zhang](https://www.linkedin.com/in/kaz462/) (Bayer) , [Thomas Neitmann](https://www.linkedin.com/in/thomas-neitmann/) (Roche), [Phanikumar Tata](https://www.linkedin.com/in/tataphani/) (Syneos), [Steven Haesendonckx](https://www.linkedin.com/in/stevenhaesendonckx/) (J&J), [Yutong Liu](https://www.linkedin.com/in/yutong-liu-a25b68a8/) (Moderna), Lei Zhao (Roche), [Nicole Jones (Merck)](https://www.linkedin.com/in/nicolekjonesmph/), [Benjamin Wang (Merck),](https://www.linkedin.com/in/bingjun-wang-2b9783147/) [Dadong Zhang (Illumina)](https://www.linkedin.com/in/dadong-zhang-48b937201/), [Declan Hodges (GSK)](https://www.linkedin.com/in/declan-hodges/). \ No newline at end of file diff --git a/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/chapter.jpg b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/chapter.jpg new file mode 100644 index 0000000..1a08e31 Binary files /dev/null and b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/chapter.jpg differ diff --git a/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/community.jpg b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/community.jpg new file mode 100644 index 0000000..ec06642 Binary files /dev/null and b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/community.jpg differ diff --git a/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/index.qmd b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/index.qmd new file mode 100644 index 0000000..cd214a2 --- /dev/null +++ b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/index.qmd @@ -0,0 +1,50 @@ +--- +title: "R-Ladies Bariloche in Argentina: Fostering a Different Approach to Leadership" +description: "Lina Moreno, founder and organizer of the R-Ladies Bariloche chapter in Argentina, recently shared her journey with the R Consortium." +author: "R Consortium" +date: "09/06/2024" +--- + +![](lina.jpg) + +[Lina Moreno](https://www.linkedin.com/in/lina-moreno-azocar-81a5aa276/?originalSubdomain=ar), founder and organizer of the [R-Ladies Bariloche](https://www.meetup.com/es/rladies-bariloche/) chapter in Argentina, recently shared her journey with the R Consortium. A biologist focusing on evolutionary ecology, she discussed her experience building a local R community, the challenges of maintaining engagement post-pandemic, and her efforts to foster discussions on leadership and gender equity within academia. Through her work, she aims to create an inclusive space for women in data science and strengthen the R community in Bariloche. + +**Please share your background and involvement with the RUGS group.** + +I am a biologist working on evolutionary ecology, I did a bachelor in Sciences in another Argentinian province and then moved to Bariloche to start my PhD. (That was 16 years ago!) I spent a couple of years working in the field (I study reptiles, mainly lizards, and their adaptations to cold environments), and then I had to analyze the data. When I started my main analysis, I could only do it in R. At that time, my boss told me to start with R immediately, so I started searching online. I am doing this kind of work in my home country, so finding resources was complex. I had to work on a comparative analysis and phylogenies, which was difficult initially. However, I started studying and meeting people who taught me, which was awesome.  + +After several years, I encountered a problem I couldn’t resolve. I turned to Google and found a helpful community of ladies. They assisted me a lot and saved me from a tight spot. After some communication, they suggested starting an R-Ladies community in Bariloche. I met with them in person when I traveled to Buenos Aires. They convinced me to start a Bariloche chapter, and by the end of 2019, a few of my colleagues and I, mainly biologists working in the same area, created the Bariloche chapter. + +![](chapter.jpg) + +**What are some challenges you have faced in organizing this group?** + +We are currently facing some difficulties as people seem unwilling to get involved. As a result, we are exploring new strategies such as combined meetups (online and in person), and together with other R-Ladies groups. We also plan to organize three or four meetups this year. Despite our efforts, we are getting discouraged by the lack of response, but we will see how it goes. + +During the pandemic, there were five organizers, three of us with young children, so it was pretty difficult. We started a study group for the [R for Data Science](https://r4ds.hadley.nz/) book, which had recently been translated into [Spanish](https://es.r4ds.hadley.nz/). We also organized meetups, mainly led by us. Surprisingly, there was good attendance during the pandemic, with around 40 people each time, similar to before the pandemic. However, after returning to in-person meetups, the attendance dropped significantly. The most crowded meetup had only 15 people, whereas before, we used to have two meetups on the same subject, both with 40 attendees. + +![](meetup.png) + +We are attempting to integrate virtual and in-person components, which has proven challenging. We aim to introduce a beginner’s course in R through a meetup to help attendees gain confidence for future meetups. Our meetups typically have a good turnout, but there is a lack of interest in specific topics, particularly those related to gender bias and women’s issues. Despite this, we are putting in a significant effort. Last year, we participated in a round table during a conference in Bariloche, focusing on gender bias and the difficulties of being a woman in Academia, and it received a lot of support, especially from women. The rest of the group is currently working on documenting our experience at that round table. I am not participating as I have been busy with other responsibilities. + +Last year we surveyed people on how they feel R-Ladies is contributing to their careers, its influence on leadership abilities, their reasons for abandoning our events, or why they were too busy to attend. We have received some responses, but not as many as we expected. + +However, we have enough data to write a paper about it. We’re also looking into the topic of leadership. We are opening our minds and exploring the possibilities of supporting the R community here in Bariloche, but it’s quite challenging at the moment. + +**Can you share what the R community is like in Argentina?**  + +The field of artificial intelligence and machine learning is rapidly evolving, which greatly helps incorporate knowledge in R. The leading software used for this purpose is R and Python. R is more popular than Python, as it has been around longer and is more user-friendly. Many people from academia with expertise in machine learning are transitioning to private industries. Regarding statistical analysis in biology, tools such as the [Vegan](https://cran.r-project.org/web/packages/vegan/vegan.pdf) package and those incorporating [GAM (Generalized Additive Models)](https://m-clark.github.io/generalized-additive-models/application.html) are commonly used. Tools that can handle multiple effects simultaneously are in high demand in ecology. + +![](community.jpg) + +**Would you like to talk about any recent activity from the group?** + +It was exciting what happened after the conference we participated in. As women, we are trying to maintain an open community. Initially, the organizers needed to learn how to manage an open group without a leader or a head, where everyone is considered equal. The participants ranged from students to established researchers, which ignited discussions about leadership and how women and minority groups navigate the world. We are accustomed to a robust and assertive leadership style, often associated with being at the top. However, as women, we wanted a different kind of leadership. This led to discussions on creating a new type of leadership that doesn’t adhere to the traditional patriarchal model. The manuscript the group is working on currently revolves around creating a new style of leadership that focuses on nurturing individuals to become better persons, researchers, or workers.  + +The topics discussed in the manuscript revolve around how we can lead differently. These discussions were not limited to our group; we engaged with several groups from Argentina and Spain who also expressed a similar desire for a different kind of leadership. It is interesting to note that as women and minority groups, we want to be in positions to make meaningful decisions, especially given that our work as biologists primarily tackles environmental issues. Despite historically shying away from more traditional forms of leadership, we are now advocating for different styles. This shared sentiment has brought us closer to other minority groups, and we believe it’s an important topic that needs further discussion. It’s important to recognize that women have a different approach, and it doesn’t make us weaker than men; it simply signifies that we have a unique way of contributing. + +## How do I Join? + +R Consortium’s R User Group and Small Conference Support Program (RUGS) provides grants to help R groups organize, share information, and support each other worldwide. We have given grants over the past four years, encompassing over 68,000 members in 33 countries. We would like to include you! Cash grants and meetup.com accounts are awarded based on the intended use of the funds and the amount of money available to distribute. + +[Learn more](../../all-projects/rugsprogram.qmd) \ No newline at end of file diff --git a/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/lina.jpg b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/lina.jpg new file mode 100644 index 0000000..e69bbc5 Binary files /dev/null and b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/lina.jpg differ diff --git a/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/meetup.png b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/meetup.png new file mode 100644 index 0000000..66d8e01 Binary files /dev/null and b/posts/r-ladies-bariloche-in-argentina-fostering-a-different-approach/meetup.png differ diff --git a/posts/r4socialscience-empowering-social-science-research/community.jpg b/posts/r4socialscience-empowering-social-science-research/community.jpg new file mode 100644 index 0000000..2122b61 Binary files /dev/null and b/posts/r4socialscience-empowering-social-science-research/community.jpg differ diff --git a/posts/r4socialscience-empowering-social-science-research/drGarg.jpg b/posts/r4socialscience-empowering-social-science-research/drGarg.jpg new file mode 100644 index 0000000..a635f9a Binary files /dev/null and b/posts/r4socialscience-empowering-social-science-research/drGarg.jpg differ diff --git a/posts/r4socialscience-empowering-social-science-research/index.qmd b/posts/r4socialscience-empowering-social-science-research/index.qmd new file mode 100644 index 0000000..315b8d1 --- /dev/null +++ b/posts/r4socialscience-empowering-social-science-research/index.qmd @@ -0,0 +1,67 @@ +--- +title: "R4SocialScience: Empowering Social Science Research with R in India" +description: "Dr. Mohit Garg, organizer of the R4SocialScience group in Delhi, India recently talked to the R Consortium about his experience of starting an R user group. " +author: "R Consortium" +image: "unnamed2.jpg" +date: "08/27/2024" +--- + +[Dr. Mohit Garg](https://www.linkedin.com/in/drmohitgarg9/?trk=public_profile_browsemap&originalSubdomain=in), organizer of the [R4SocialScience](https://www.meetup.com/r4socialscience/) group in Delhi, India recently talked to the R Consortium about his experience of starting an R user group. The R4SocialScience group aims to bridge the gap between social science research and data analysis, offering support and training to academics, researchers, and industry professionals. Dr. Garg shares his experiences, the growth of the R community in India, and his plans for expanding R’s reach. + +![](drGarg.jpg) + +**Please share about your background and involvement with the RUGS group.** + +I’m currently working as an assistant librarian at the [Indian Institute of Technology, Delhi](https://home.iitd.ac.in/), one of the premier institutions in India.  My academic background includes a BTech in Information Technology from Guru Gobind Singh Indraprastha University followed by an MS in Librarian Information Science from the [Indian Statistical Institute](https://www.isical.ac.in/), an institution dedicated to statistics in India started by the late Professor P.C. Mahanobis. After that, I completed my PhD in Library and Information Science from IGNOU, New Delhi. + +My interest in R began in 2013 when I started my MS at the Indian Statistical Institute.  Since then, I have taken various courses as part of my MS program and some online courses. I became interested in R due to its open source nature and the free availability of packages for all kinds of analysis. Then, I started promoting R in the academic community. However, in 2013, there was little interest in R because the prevalent approach in India was more focused on using commercial software for data analysis.  However, in the past few years, there has been an increasing interest in R, with many workshops and government-funded events dedicated to it. + +I have been providing R training to professors, teachers, and research scholars, and I have also worked on web-based development using [Shiny](https://shiny.posit.co/) packages. Furthermore, we have developed a web dashboard to visualize real-time research productivity data obtained from sources like [Scopus](https://www.elsevier.com/products/scopus) through API. Recently, we completed a 12-week MOOC course on [NPTEL SWAYAM](https://swayam.gov.in/nc_details/NPTEL) platform with a focus solely on R. The course was quite popular, with 2584 learners from India joining, and 515 learners registering for the final examination. Although the course was free, participants had the option to pay for certification. + +**Can you share what the R community is like in India?**  + +I have been involved in the academic profession since 2016 and have been giving lectures and providing resource points at various institutions. I believe that there is a need to build a community focused on social sciences, especially for those who may have a limited understanding of mathematics, and statistics. The idea is to create a specific community related to social science, not just in India, but also in collaboration with other institutions. The community will cater to three main groups: those who are proficient in coding and development of R packages, those who are familiar with basic R but need further guidance, and those who are completely new to R. + +The community aims to provide support for those interested in social science and to make R more accessible by offering packages related to social science, basic R tutorials. One specific package gaining popularity in academia is “[biblo shiny bibliometrics](https://www.bibliometrix.org/home/),” which facilitates scientific productivity mapping using R.  + +![](rSocialScience.jpg) + +We want to emphasize that R is not just a programming language, but a software for data analysis, to encourage more people to explore its potential. While both R and Python are interpreted languages, we aim to dispel the fear of programming and demonstrate how these languages can be used effectively. Although Python appears to be more widely used in the industry, there is still a growing interest in R. + +**What are your plans for the group going forward?** + +I have been teaching R for more than 10 years, and I found that researchers are interested in using R. I have identified three potential co-organizers from different regions in India to make a team of four people. We have already received a grant, and we plan to conduct training sessions in different locations across India. + +I am focusing on a “train the trainer” model, where I aim to train individuals who can then carry out training sessions in their respective regions. India has over 50,000 colleges and around 1,200 universities, all involved in significant research and analysis activities. We also aim to have dedicated R trainers in all districts in India by 2026. + +![](teaching.jpg) + +Our approach involves dividing the country into five zones, followed by state-wise and district-wise planning. We are not heavily reliant on industry support, as our activities are primarily related to academia and research.  + +We plan to charge a nominal registration fee, which would cover expenses such as food and refreshment. We are hoping to minimize travel expenses, as they can be quite costly. But we will explore some way to fund the travel and accommodation expenses. We have hosted a one day workshop on “[Doing Research using R](https://x.com/RConsortium/status/1808219594232156479)” at Galgotias University.   + +![](trainingSession.jpg) + +I am currently focusing on building a community and providing training sessions. I have noticed that online sessions may not be as effective as I had hoped, as participants seem to encounter many problems. Therefore, I am considering conducting more in-person workshops, which I believe will help popularize the training sessions. Additionally, I aim to develop specialized packages for social science and build a dedicated team. I am optimistic about these plans. During a recent workshop, I noticed that many participants preferred simple tools for data analysis. I intend to introduce such tools to make the training more accessible and user-friendly for participants. This is my vision for the community. + +![](community.jpg) + +**Please share about a project you are currently working on or have worked on in the past using the R language. Goal/reason, result, anything interesting, especially related to the industry you work in?** + +We have developed a platform utilizing the shiny and other text mining packages. This platform is still in the testing phase. The platform allows real-time data fetching from the Scopus API. + +For example, if I search for a faculty member, it will display the publication data such as the number of publications, H-index, citations, types of publications, sources of publication, and annual publication distribution. We can also download this data. + +![](platform.jpg) + +We have also developed a word cloud based on the titles of the publications for each faculty member, processed using the TM package. This helps to infer the expertise of the professors. Furthermore, we have included a feature for identifying the H-classic, which is related to the H-index.  This platform is quite useful and efficient, especially for academic institutions. We now have the capability to download data from a specific date range as an Excel file. The data includes publication dates and the number of citations. + +![](wordcloud.jpg) + +We’re in the process of creating a full dashboard for universities or institutions. We’ve also conducted a pilot study for other institutions. We are also considering publishing this work as a research paper to increase its visibility.  + +## How do I Join? + +R Consortium’s R User Group and Small Conference Support Program (RUGS) provides grants to help R groups organize, share information, and support each other worldwide. We have given grants over the past four years, encompassing over 68,000 members in 33 countries. We would like to include you! Cash grants and meetup.com accounts are awarded based on the intended use of the funds and the amount of money available to distribute. + +[Learn more](../../all-projects/rugsprogram.qmd) \ No newline at end of file diff --git a/posts/r4socialscience-empowering-social-science-research/platform.jpg b/posts/r4socialscience-empowering-social-science-research/platform.jpg new file mode 100644 index 0000000..5115efa Binary files /dev/null and b/posts/r4socialscience-empowering-social-science-research/platform.jpg differ diff --git a/posts/r4socialscience-empowering-social-science-research/rSocialScience.jpg b/posts/r4socialscience-empowering-social-science-research/rSocialScience.jpg new file mode 100644 index 0000000..1feccd7 Binary files /dev/null and b/posts/r4socialscience-empowering-social-science-research/rSocialScience.jpg differ diff --git a/posts/r4socialscience-empowering-social-science-research/teaching.jpg b/posts/r4socialscience-empowering-social-science-research/teaching.jpg new file mode 100644 index 0000000..75a49f8 Binary files /dev/null and b/posts/r4socialscience-empowering-social-science-research/teaching.jpg differ diff --git a/posts/r4socialscience-empowering-social-science-research/trainingSession.jpg b/posts/r4socialscience-empowering-social-science-research/trainingSession.jpg new file mode 100644 index 0000000..d6ab574 Binary files /dev/null and b/posts/r4socialscience-empowering-social-science-research/trainingSession.jpg differ diff --git a/posts/r4socialscience-empowering-social-science-research/wordcloud.jpg b/posts/r4socialscience-empowering-social-science-research/wordcloud.jpg new file mode 100644 index 0000000..7a85f49 Binary files /dev/null and b/posts/r4socialscience-empowering-social-science-research/wordcloud.jpg differ diff --git a/posts/the-2024-isc-grant-program-will-begin/index.qmd b/posts/the-2024-isc-grant-program-will-begin/index.qmd new file mode 100644 index 0000000..ed881a3 --- /dev/null +++ b/posts/the-2024-isc-grant-program-will-begin/index.qmd @@ -0,0 +1,31 @@ +--- +title: "The 2024 ISC Grant Program will begin Accepting Applications Soon!" +description: "The R Consortium is excited to announce the second cycle of the 2024 Infrastructure Steering Committee (ISC) Grants Program." +author: "R Consortium" +date: "08/30/2024" +--- + +![](isc-program.jpg) + +The R Consortium is excited to announce the second cycle of the 2024 Infrastructure Steering Committee (ISC) Grants Program. The [Call for Proposals will open soon](https://www.r-consortium.org/all-projects/call-for-proposals). This initiative aims to support projects that strengthen the R ecosystem’s technical and social infrastructure.  + +Here is a [list of projects that received grants from the R Consortium in the First Cycle in 2024](https://www.r-consortium.org/all-projects/awarded-projects/2024-group-1).  + +From the Call for Proposals page: + +The ISC is interested in projects that: + +- Are likely to have a broad impact on the R community. +- Have a focused scope (a good example is the [Simple Features for R project](https://github.com/r-spatial/sf)). If you have a larger project, consider breaking it up into smaller chunks (a good example of this done is with the [DBI/DBItest project](http://dbi.r-dbi.org/) submission, where multiple proposals came in over time to address the various needs). +- Have a low-to-medium risk with a low-to-medium reward. The ISC tends not fund high-risk, high-reward projects. + +Whether you’re working on groundbreaking tools or organizing community-driven events, this is your chance to secure funding and make a significant impact on the R community! + +**Key Dates:** + +- **September 1, 2024:** Grant Application Period Opens +- **October 1, 2024:** Grant Application Period Closes +- **November 1, 2024:** Notification of Accepted Grantees +- **December 1:**  Deadline for acceptance of grant and contract. Public notification of grantees occurs shortly thereafter. + +Submit your proposal by October 1, 2024, and contribute to the ongoing growth of the R ecosystem. Visit the [R Consortium website](https://www.r-consortium.org/all-projects/call-for-proposals) for detailed guidelines and submission instructions. Don’t miss this opportunity to bring your innovative ideas to life! \ No newline at end of file diff --git a/posts/the-2024-isc-grant-program-will-begin/isc-program.jpg b/posts/the-2024-isc-grant-program-will-begin/isc-program.jpg new file mode 100644 index 0000000..e4168a5 Binary files /dev/null and b/posts/the-2024-isc-grant-program-will-begin/isc-program.jpg differ