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85 changes: 85 additions & 0 deletions content/blog/2025-05-27-champions-histories/index.en.md
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---
title: Carolina Pradier, champion in learning to teach.
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I'm not really sure about the title. There doesn't seem to be much about teaching in the post... to me, the title seems to imply that Carolina is learning to teach through the program? But that's not really mentioned in the blog post.
What about "Carolina Pradier, Champion at Increasing the Impact"? That was one of her goals that resonated with me a lot in the post.

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title: Carolina Pradier, champion in learning to teach.
title: Carolina Pradier, Champion at Increasing the Impact

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@yabellini yabellini May 21, 2025

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I like it, thanks!
I will think about option because all the series will focus on the impact of the champions' work.

author:
- Yanina Bellini Saibene
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In the Stars interviews, the interviewees are also authors. Is that something you'd like to do here too?

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In the Star, not all of them are authors. We asked some of them to suggest changes to the text and translate it into their native language. I don't remember if, after the fact, we added all of them as authors.
However, I do like the Champions as authors if they agree. They review everything before we publish.

- Alejandra Bellini
date: '2025-05-27'
slug: champions-histories-carolina-pradier
editor:
- Steffi LaZerte
tags:
- packages
- champions program
- community
- interviews
- champions-stories
description: Stories of Champions Series. Our first story is that of Carolina Pradier, main maintainer of the eph package. We review her participation in the program and the impact of her work in different organizations and communities.
params:
doi: 10.59350/f7jvs-8js04
---
This is our first story in our interview series **Stories of Champions**, where we introduce you to different Champions and the impact they have. Our first Champion is [Carolina Pradier](/es/author/carolina-pradier/), main maintainer of the eph package.

[Carolina Pradier](/author/carolina-pradier/) has long worked to make the world a more equitable place. Her doctoral research focused on inequalities in science with a focus on the mechanisms that structure gender inequality in the Latin American scientific community. She is also part of [Ecofeminita](https://ecofeminita.com/) (Asociación Civil Economía Feminista), an interdisciplinary organization created and led by women.
Carolina has a degree in Economics from the University of Buenos Aires and a holds a Master's degree in Social Sciences of Work from the Faculty of Social Sciences of the University of Buenos Aires. She has a PhD in Information Science from the University of Montreal and teaches at post-secondary institutions.
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@caropradier caropradier Jun 3, 2025

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I think my master's program is usually translated to English as "Labour studies". Also, I don't hava a PhD, I'm a PhD candidate

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Yes, another translation issue, in the Spanish text said "Doctoranda".

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Carolina has a degree in Economics from the University of Buenos Aires and a holds a Master's degree in Social Sciences of Work from the Faculty of Social Sciences of the University of Buenos Aires. She has a PhD in Information Science from the University of Montreal and teaches at post-secondary institutions.
Carolina has a degree in Economics from the University of Buenos Aires (UBA) and a Master's degree in Labour Studies from the Faculty of Social Sciences (UBA). She is a PhD candidate in Information Science at the University of Montreal and teaches at post-secondary institutions.


As a researcher, Carolina was part of the Center for Studies on Population, Employment and Development and now works in the [Open Science research team at UNESCO](https://www.unesco.org/en/open-science). She also is the maintainer of the [eph](https://docs.ropensci.org/eph/) R package, whose objective is to facilitate working with the Permanent Household Survey data.
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It might more precise to say that I work for the UNESCO Chair on Open Science (https://unesco.ebsi.umontreal.ca/en/)

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As a researcher, Carolina was part of the Center for Studies on Population, Employment and Development and now works in the [Open Science research team at UNESCO](https://www.unesco.org/en/open-science). She also is the maintainer of the [eph](https://docs.ropensci.org/eph/) R package, whose objective is to facilitate working with the Permanent Household Survey data.
As a researcher, Carolina was part of the Center for Studies on Population, Employment and Development and now works for the [UNESCO Chair on Open Science](https://www.unesco.org/en/open-science). She also is the maintainer of the [eph](https://docs.ropensci.org/eph/) R package, whose objective is to facilitate working with the Permanent Household Survey data.


{{< figure src = "eph-docs.png" alt = "Official documentation of the eph package with the rOpenSci template" caption = "Official documentation of the eph package">}}

## rOpenSci

Carolina's encounter with the rOpenSci Champions Program seemed natural. Her goals and those of the organization were aligned. In her application to the Champions Program she expressed:

> I would like to be part of the rOpenSci Champions Program to improve my skills as a developer, as well as to improve my abilities to teach and communicate these skills."

Next followed over 12 months of training. Through the coaching, mentoring, and exposure to colleagues, Carolina received information on tools and processes, as well as advice and feedback to improve her package. She was also able to develop her communication skills and feel more confident in communicating more effectively with the people who use eph.

Exchanges and meeting with other people made her work easier, and helped her stay organized and anticipate future problems she might encounter:

> I think I felt very good when we finished the training and I started to work closely with my mentor, we had a good relationship and we could work very well and efficiently."
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The quote sounds a bit repetitive, maybe "felt great"?

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> I think I felt very good when we finished the training and I started to work closely with my mentor, we had a good relationship and we could work very well and efficiently."
> I think I felt great when we finished the training and I started to work closely with my mentor, we had a good relationship and we could work very well and efficiently."


In addition to being selected to participate in the rOpenSci Champions Program through the rOpenSci application, Carolina had already gone through a previous selection. The rOpenSci Champions Program accepts only individual applications. Therefore, when Carolina's team wished to participate, her colleagues encouraged her to participate on behalf of the team.

During the program, Carolina developed different events to help disseminate her work, share it with others, and invite them to get involved in open science. This idea was also present in the objectives that Carolina expressed in her first contact with rOpenSci:

> One of my main motivations is to bring new tools to the communities of social scientists in which I actively participate in order to strengthen our capacities to transform reality."

It was with this goal that Carolina [organized an event in Spanish](https://vimeo.com/899372049) with news and ideas for the use of the eph package. This achieved a double objective: sharing content about R packages in Spanish and bringing more people closer to the R and open science community.
Carolina also participated in a [Community Call on the rOpenSci Champions Program.](/commcalls/july2023-championprogram/) where she shared her experiences alongside mentor [Beatriz Milz](/es/author/beatriz-milz/) and cohort partner, [Victor Ordu](/author/victor-ordu/).

## Perfecting a job well done

The [eph](https://github.com/ropensci/eph/) package processes data from the Permanent Household Survey ([INDEC](https://www.indec.gob.ar)) in Argentina to replicate or conduct independent analyses from those published in the reports prepared by the government agency. It also allows the analysis of different categories and indicators not provided in the official reports.
Carolina explained that throughout the program they managed to improve the package:

> "We tried to improve the quality of the code (reliability and efficiency), we improved the documentation and created new functions.
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I'd consider omitting this quote, I don't think it adds much more than the sentence above says?

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Not a bad idea, maybe the quote is not necessary and the text can explain the improvements were in terms of the code and the documentation.


They also worked hard to translate the documentation and make it more accessible to Spanish-speaking users.
During the peer review process of rOpenSci, [demonstrated that the way of working can be rigorous and warm at the same time.](https://github.com/ropensci/software-review/issues/593#issuecomment-1709968472)

{{< figure src = "revision.png" alt = "Comentario en el issue de revisión de eph: Antes que nada, felicitaciones por el paquete. Es un paquete sumamente útil para la comunidad y uno de los más importantes para aquellos que trabajan en política pública. Además de que es un ejemplo para otros organismos del estado de cómo se puede disponibilizar data que sea en servicio de la comunidad. Además, es una linda muestra de cómo se puede mejorar un proyecto con el tiempo y no sólo se sostiene en el mismo sino que está permanentemente creciendo." caption = "Comentario abierto, transparente y amigable de la revisión por pares en el proceso de rOpenSci del paquete eph">}}
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Translation needed for alt and caption


## Open science

The package is a tool for academic research, journalism and evidence-based public policy formulation. The champions program allowed us to add quality, improve the software and add different points of view through peer and expert review.
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I struggled a bit with the logic and order of these next couple of paragraphs. I think it might be a bit more clear how the goal relates to the outcomes with some more linkages and a bit of rearranging. What do you think of the following?

Suggested change
The package is a tool for academic research, journalism and evidence-based public policy formulation. The champions program allowed us to add quality, improve the software and add different points of view through peer and expert review.
The eph package is a tool for academic research, journalism and evidence-based public policy formulation. The Champions Program allowed Carolina to improve the software through by using different points of view from peer and expert review.
However, one of Carolina's goals was to help increase the impact of her community.
> I am particularly excited about the prospect of participating in a program aimed at making the R community more inclusive. in addition, I feel that this experience would be a great opportunity as it would allow me to meet and work with highly skilled professionals whose work I deeply admire. Not only am I interested in learning from their experience, but I also believe that building these networks can help increase the impact of my community's efforts and access new sources of support."
This goal was clearly met as the civil association EcoFeminita, which Carolina is part of, provides data on gender inequality with indicators, statistics, and reproducible thematic reports, all with help from the eph package. Among other uses, the Ecofemidata team maintains an app that analyzes the labor market, income, time use, and domestic work.
Further, eph inspired other programmers, data scientists, and people from different disciplines to develop in Python the [PyEPH library](https://pyeph.readthedocs.io/es/latest/) library, which has a similar purpose to the epa package in R, but to be used and supported by people in the Python data community.

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Looks good! Although I'm afraid it sounds like the Champions Program led to the usage of the package by ecofeminita (we were already using it) or the development of the python version (which I think was already underway). Maybe these experiences could be presented as examples of the impact we want the package to have?

And some details/typos:
-In the edited text, we have "through by using", we should keep only one of them.
-There is a missing capital letter in "in addition"
-The package is called "epa" in the paragraph about python

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@yabellini yabellini Jun 3, 2025

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If that is the impression, then the text is wrong. That wasn't the idea. Thank you for reviewing.


Carolina is part of the civil association EcoFeminita where the Ecofemidata team provides data on gender inequality with indicators, statistics, and reproducible thematic reports based on the package. Among other uses, the Ecofemidata team maintains an app that analyzes the labor market, income, time use, and domestic work.
Once again it was able to meet another of the objectives set at the beginning of the rOpenSci program:

> I am particularly excited about the prospect of participating in a program aimed at making the R community more inclusive. in addition, I feel that this experience would be a great opportunity as it would allow me to meet and work with highly skilled professionals whose work I deeply admire. Not only am I interested in learning from their experience, but I also believe that building these networks can help increase the impact of my community's efforts and access new sources of support."

The package further inspired other programmers, data scientists, and people from different disciplines to develop in Python the [PyEPH library](https://pyeph.readthedocs.io/es/latest/) library, which has a similar purpose to the epa package in R, but to be used and supported by people in the Python data community.
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Carolina is part of the civil association EcoFeminita where the Ecofemidata team provides data on gender inequality with indicators, statistics, and reproducible thematic reports based on the package. Among other uses, the Ecofemidata team maintains an app that analyzes the labor market, income, time use, and domestic work.
Once again it was able to meet another of the objectives set at the beginning of the rOpenSci program:
> I am particularly excited about the prospect of participating in a program aimed at making the R community more inclusive. in addition, I feel that this experience would be a great opportunity as it would allow me to meet and work with highly skilled professionals whose work I deeply admire. Not only am I interested in learning from their experience, but I also believe that building these networks can help increase the impact of my community's efforts and access new sources of support."
The package further inspired other programmers, data scientists, and people from different disciplines to develop in Python the [PyEPH library](https://pyeph.readthedocs.io/es/latest/) library, which has a similar purpose to the epa package in R, but to be used and supported by people in the Python data community.


## Beyond learning: building with a community

Carolina Pradier was able to improve her R skills, acquire new skills, and offer a multilingual package so that more people can access open science. Experiences with her mentor, her peers, the people who participated in the review process, and the people who use the package were a great contribution to learning and personal growth. Her participation in the Champions Program was the beginning of a network of links that promise new projects.

> I always had someone to talk to to help me solve problems; it was never a frustrating process."

Carolina also added:

> I think the team is very well organized to help you. During the training I got a lot of information on how to solve the problems that I could encounter".

Shared knowledge allows us to anticipate, help and include. The more experiences like Carolina Pradier's there are, the more shared and *open* open science there will be.


79 changes: 79 additions & 0 deletions content/blog/2025-05-27-champions-histories/index.es.md
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---
title: Carolina Pradier, campeona en aprender para enseñar.
author:
- Yanina Bellini Saibene
- Alejandra Bellini
date: '2025-05-27'
slug: champions-histories-carolina-pradier
tags:
- paquetes
- programa de campeones
- comunidad
- entrevistas
description: Serie Historias de Campeones y Campeonas. Nuestra primera historia es la de Carolina Pradier, principal maintainer del paquete eph. Repasamos su participacion en el programa y el impacto de su trabajo en diferentes organizaciones y comunidades.
params:
doi: 10.59350/pyye4-ev510
---

[Carolina Pradier](/es/author/carolina-pradier/) trabaja desde hace tiempo para que el mundo sea un lugar más equitativo. Su investigación doctoral se centró en las desigualdades en la ciencia con el foco puesto en los mecanismos que estructuran la desigualdad de género en la comunidad científica de América Latina. Además forma parte de [Ecofeminita](https://ecofeminita.com/) -Asociación Civil Economía Feminista-, una organización interdisciplinaria creada y liderada por mujeres.
Carolina es Licenciada en Economía por la Universidad de Buenos Aires. Magíster en Ciencias Sociales del Trabajo de la Facultad de Ciencias Sociales de la UBA, Doctoranda en Ciencia de la Información en la Universidad de Montreal y docente de nivel superior.

Como investigadora, formó parte del Centro de Estudios sobre Población, Empleo y Desarrollo y ahora trabaja en el equipo de investigación de [Ciencia Abierta de UNESCO.](https://www.unesco.org/en/open-science) Es _maintainer_ del [paquete de R ‘eph’](https://docs.ropensci.org/eph/), cuyo objetivo es facilitar el trabajo con los datos de la Encuesta Permanente de Hogares.

{{< figure src = "eph-docs.png" alt = "Documentacion oficial del paquete eph con el template de rOpenSci" caption = "Documentación oficial del paquete eph">}}

## El Programa de rOpenSci

Su encuentro con el programa de Campeon(e|a)s de rOpenSci parecía algo natural. Sus objetivos y los de la organización estaban alineados. En su aplicación al programa de Campeones Carolina expresó:

> Me gustaría formar parte del Programa rOpenSci Champions para mejorar mis habilidades como desarrolladora, así como para mejorar mis capacidades para enseñar y comunicar estas habilidades.”

Y eso sucedió a lo largo de 12 meses de entrenamiento donde a través de la formación y el acompañamiento, Carolina recibió información sobre herramientas y procesos para mejorar su paquete con tutorías individuales y acceso a colegas y expertos en R que ayudaron a mejorar su proyecto. Pero además pudo desarrollar sus habilidades comunicativas logrando sentirse más segura y comunicando de manera más efectiva a las personas que usuan eph.

El intercambio y el encuentro con otras personas facilitó el trabajo, lo ordenó y la ayudó a anticiparse a futuros problemas que podría encontrar:

> Creo que me sentí muy bien cuando terminamos la formación y empecé a trabajar estrechamente con mi mentora, teníamos una buena relación y podíamos trabajar muy bien y de manera eficiente.”

Carolina no sólo fue seleccionada para participar del programa de Campeones de rOpenSci. Ya había pasado por una selección previa: como la aplicación al programa es individual fueron sus compañeros los que la incentivaron a participar en nombre del equipo.

Durante el programa, Carolina desarrolló distintos eventos que contribuyeron a difundir sus trabajos, compartirlo con otros e invitar a que se acerquen a la ciencia abierta. Esta idea también estaba presente en los objetivos que Carolina expresó en su primer contacto con rOpenSci:

> Una de mis principales motivaciones es aportar nuevas herramientas a las comunidades de científicos sociales en las que participo activamente con el fin de reforzar nuestras capacidades para transformar la realidad”

Fue en ese sentido que Carolina [organizó un evento en español](https://vimeo.com/899372049) con novedades e ideas para la utilización de su paquete epa logrando un doble objetivo: compartir contenido sobre paquetes de R en español y acercar a más personas a la comunidad.
Además participó de una [Community Call sobre el Programa de Campeones y Campeonas de rOpenSci](/commcalls/july2023-championprogram/) donde compartió su experiencia junto a la mentora [Beatriz Milz](/es/author/beatriz-milz/) y su compañero de cohorte, [Victor Ordu](/author/victor-ordu/).

## Perfeccionar un trabajo bien hecho

El [paquete eph](https://github.com/ropensci/eph/) permite procesar los datos de la Encuesta Permanente de Hogares- INDEC, Argentina para replicar u obtener conclusiones independientes de aquellas publicadas en los informes elaborados por el organismo estatal. Además permite analizar diferentes categorías e indicadores no proporcionados en los informes oficiales.
Carolina explicó que a lo largo del programa lograron mejorar el paquete:

> Intentamos mejorar la calidad del código (fiabilidad y eficacia), mejoramos la documentación y creamos nuevas funciones”.

Además trabajaron con esfuerzo para traducir la documentación y hacerla más accesible para todos los usuarios y las usuarias que no hablan inglés.
Durante el proceso de revisión por pares de rOpenSci, [demostraron que la forma de trabajo puede ser rigurosa y cálida al mismo tiempo](https://github.com/ropensci/software-review/issues/593#issuecomment-1709968472)

{{< figure src = "revision.png" alt = "Comentario en el issue de revisión de eph: Antes que nada, felicitaciones por el paquete. Es un paquete sumamente útil para la comunidad y uno de los más importantes para aquellos que trabajan en política pública. Además de que es un ejemplo para otros organismos del estado de cómo se puede disponibilizar data que sea en servicio de la comunidad. Además, es una linda muestra de cómo se puede mejorar un proyecto con el tiempo y no sólo se sostiene en el mismo sino que está permanentemente creciendo." caption = "Comentario abierto, transparente y amigable de la revisión por pares en el proceso de rOpenSci del paquete eph">}}

## Abrir la ciencia

El paquete es una herramienta para investigaciones académicas, periodísticas y formulación de políticas públicas fundamentadas en evidencia. El programa de campeones y campeonas permitió sumar calidad, mejorar el software y sumar distintos puntos de vistas a través de la revisión por pares y personas expertas.

Carolina forma parte de la asociación civil EcoFeminita donde el equipo Ecofemidata aporta datos sobre la desigualdad de género con indicadores, estadísticas, e informes temáticos reproducibles basado en el paquete. Entre otros usos, el equipo de Ecofemidata mantiene una app que analiza el mercado de trabajo, ingresos, uso del tiempo, y trabajo doméstico.
Una vez más pudo cumplir con otro de los objetivos planteados al comienzo del programa de rOpenSci:

> Me entusiasma particularmente la perspectiva de participar en un programa destinado a hacer más inclusiva a la comunidad R. Además, considero que esta experiencia sería una gran oportunidad ya que me permitiría conocer y trabajar con profesionales altamente cualificados cuyo trabajo admiro profundamente. No sólo me interesa aprender de su experiencia, sino que también creo que la creación de estas redes puede contribuir a aumentar el impacto de los esfuerzos de mi comunidad y a acceder a nuevas fuentes de apoyo.”

El paquete inspiró además a que otros programadores, cientistas de datos y personas de diferentes disciplinas desarrollen en Python la [librería PyEPH](https://pyeph.readthedocs.io/es/latest/), que tiene un propósito similar al paquete de epa en R, pero para ser usado y sostenido por personas de la comunidad datera de Python.
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same here, the package is called "epa"

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That is the automatic translation 🫤


## Más allá del aprendizaje: construir en comunidad

Carolina Pradier pudo aprender sobre R, ordenar su conocimiento, adquirir nuevas habilidades y ofrecer un paquete multilingüe para que más personas puedan acceder a la ciencia abierta. El contacto con su mentora, con sus pares, con las personas que participaron del proceso de revisión y las personas que usan el paquete fue un gran aporte de aprendizaje y crecimiento personal. Su participación en el Programa de Campeones y Campeonas fue el inicio de una red de vínculos que prometen nuevos proyectos.

> Siempre tenía a alguien con quien hablar para que me ayudara a resolver los problemas; nunca fue un proceso frustrante”,

fue la contestación de Carolina ante la pregunta sobre posibles mejoras para hacerle al programa de Campeones y Campeonas y agregó:

> Creo que el equipo está muy bien organizado para ayudarte. Durante la formación obtuve mucha información sobre cómo resolver los problemas que podía encontrarme”.

El conocimiento compartido permite anticiparnos, ayudar e incluir. Cuanto más experiencias como la de Carolina Pradier podamos tener más ciencia abierta compartida habrá.
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